Wellbeing in ELT: a Status Report

When I last blogged about teacher wellbeing in August 2020, we were in the early throes of COVID, and Sarah Mercer and Tammy Gregersen had recently published their timely book about wellbeing (Mercer & Gregersen, 2020). Now, over two years later, it seems appropriate to take another look at the topic, to evaluate the status of the concept of ‘wellbeing’ in ELT.

Wellbeing as an object of study

The first thing to be said is that wellbeing is doing just fine. Since 1995, the frequency of use of ‘subjective well-being’ in books has increased by a factor of eight, and, across multiple languages, academic attention to wellbeing and related concepts like ‘happiness’ is growing (Barrington-Leigh, 2022). Interest in teacher wellbeing is no exception to this trend. There are, however, a few problems, according to a recent systematic review of the research literature (Hascher & Waber, 2021). There is, apparently, little consensus on how the term should be defined. There is little in the way of strong evidence that wellbeing correlates with good teaching, and, to my surprise, there is a lack of studies pointing to actual shortfalls in teacher wellbeing. Empirical evidence regarding the effectiveness of programmes aiming to foster teacher wellbeing is, less surprisingly, scarce.

Researchers in English language teacher wellbeing are well aware of all this and are doing their best to fill in the gaps. A ‘research group for wellbeing in language education’ has recently been formed at the University of Graz in Austria, where Sarah Mercer works. This is part of a push to promote positive psychology in language teaching publications, and the output of Sarah Mercer, Tammy Gregersen and their associates has been prodigious.

Next year will see the publication of a book-length treatment of the topic with ‘Teacher Well-Being in English Language Teaching An Ecological Approach’ (Herrera et al, 2023). It will be interesting to see to what extent teacher wellbeing is dealt with as a social or political issue, as opposed to something amenable to the interventions of positive psychology.

In the wider world of education, wellbeing is not as frequently seen through the lens of positive psychology as it is in ELT circles. Other perspectives exist: a focus on working conditions or a focus on mental health, for example (Hascher & Waber, 2021). And then there is neuroscience and wellbeing, which I am eagerly awaiting an ELT perspective on. I have learnt that certain brain patterns are related to lower well-being (in the medial prefrontal cortex, posterior cingulate cortex/ praecuneus, and angular gyrus areas, to be gratuitously specific). Lower wellbeing correlates with patterns that are found when the brain is at wakeful rest, such as during daydreaming and mind-wandering (Bartels et al. 2022). All of which sounds, to me, like a strong argument for mindfulness practices. Keep your eye out for ELT publishers’ webinars (see below) and you’ll no doubt hear someone taking this line, along with some nice fMRI images.

Wellbeing and self-help

Academic study of wellbeing proceeds apace, but the ultimate justification for this research can only be found in its ability to help generate solutions to a real-world problem. In this sense, it is no different from the field of applied linguistics in general (from where most of the ELT wellbeing researchers come): it is its ability to solve problems which ‘alone justifies its existence in the first place’ (Widdowson, 2018: 142).

But here we run into something of a brick wall. Whilst it is generally acknowledged that improvements to teacher wellbeing require ‘structural and systemic levels of change’ and that ‘teachers should not have to compensate for fundamental flaws in the system as a whole’ (Mercer & Gregersen, 2020: 9), the ‘solutions’ that are proposed are never primarily about systems, but always about ‘me’. Take a look at any blog post on teacher wellbeing in ELT and you will see what could be called the psychologizing of the political. This process is at the heart of the positive psychology movement which so dominates the current world of wellbeing in ELT.

A look at the Teacher Wellbeing SIG of BRAZ-TESOL (on Facebook or Instagram) gives a good sample of the kind of advice that is on offer: write out a self-appreciation list, respect others, remember you are unique, be grateful, smile, develop emotional intelligence and a growth mindset, start with yourself, take care of yourself, look after your ‘authentic self’, set goals, believe that nothing is impossible, take small steps, pause and breathe, spend time with positive people, learn to say no, and so on. This advice is offered in all seriousness, but is not so very different from the kind of advice offered by @lifeadvicebot on Twitter (‘Are you struggling with the impact of sexism? Consider cultivating a sense of gratitude’ or ‘Worried about racism? Why not try stretching your back and shoulders?).

I don’t mean to suggest that mindfulness and the other nostrums on offer will be of no benefit to anybody at all, but, however well-intentioned such advice may be, it may be ‘rather better for its promoters than for its putative beneficiaries’ (Widdowson, 2021: 47). The advice is never new or original. It is rutted with the ‘grooves of borrowed thought’, lifting directly from the long tradition of self-help literature, of which it is yet another exemplar. Like all self-improvement literature, you don’t need any deep commitment to read it. Written in an accessible style (and in the case of the BRAZ-TESOL SIG in the form of illustrated inspirational quotes), there is a slight problem with all this advice. If you do decide to dive into it repeatedly, you will quickly discover ‘that it is not such a long way from surface to bottom’ (Lichterman, 1992: 427). Like all self-help literature, as Csikszentmihalyi (1990) observed on the back cover of his best-selling work, it will probably have no effect whatsoever. Whether you agree with Csikszentmihalyi or not, there is a delicious irony in the fact that this comment appeared on the back cover of his own self-help book. Like all positive psychologists, he thought he had something new and scientifically grounded to say.

There are also increasing numbers of wellbeing coaches – a thoroughly unsurprisingly development. Many of them are positive psychology adepts, some describe themselves as neuro-science based, and have a background in Neuro-Linguistic Processing. In the context of education, expect the phrase ‘life skills’ to be thrown in from time to time. See this article from Humanising Language Teaching as an example.

But self-help literature treads familiar ground. Work on the self may seem like ‘an antidote to the anxiety-provoking uncertainties of [our] economic and social order’ (McGee, 2005: 43), but it has nowhere to go and is doomed to follow its Sisyphean path. If research into teacher wellbeing in ELT cannot shake off its association with positive psychology and self-help, its justification (and interest in it) will soon slip away.

Wellbeing as a marketing tool

Wellbeing is ideally positioned as a marketing trope … as long as the connections between low wellbeing and pay / working conditions are not dwelled on. It’s a ‘new’ and ‘virtuous’ topic that sits comfortably beside inclusivity, sustainability and environmental awareness. Teaching is a caring profession: a marketing focus on wellbeing is intended to be taken as a sign that the marketers care too. They have your best interests at heart. And when the marketing comes in the form of wellbeing tips, the marketers are offering for free something which is known to be appreciated by many teachers. Some teacher wellbeing books, like the self-published ‘The Teacher’s Guide to Self-Care: Build Resilience, Avoid Burnout, and Bring a Happier and Healthier You to the Classroom’ (Forst, 2020), have sold in considerable quantities.

BETT, which organises a global series of education shows whose purpose is to market information technology in education, is a fascinating example of wellbeing marketing. The BETT shows and the website are packed with references to wellbeing, combining the use of wellbeing to market products unrelated to wellbeing, at the same time as marketing wellbeing products. Neat, eh? Most of these uses of ‘wellbeing’ are from the last couple of years. The website has a wellbeing ‘hub’. Click on an article entitled ‘Student Wellbeing Resources’ and you’ll be taken to a list of products you can buy. Other articles, like ‘Fostering well-being and engagement with Microsoft education solutions’, are clearer from the get-go.

All the major ELT publishers have jumped on the bandwagon. Some examples … Macmillan has a ‘wellness space’ (‘a curated playlist of on-demand webinars and practical resources to specifically support your well-being – and for you to return to as often as you like’). They were also ‘delighted to have championed mindfulness at the IATEFL conference this year!’ Pearson has a ‘wellbeing zone’ – ‘packed with free resources to support teachers, parents and young people with mental health and wellbeing – from advice on coping with anxiety and exam stress, to fun activities and mindfulness’. Last year, Express Publishing chose to market one of its readers with the following introductory line: ‘#Reading for pleasure improves #empathy, #socialrelationships and our general #wellbeing’. And on it goes.

Without going as far as to say that these are practices of ‘wellbeing washing’, it is only realistic, not cynical, to wonder just how seriously these organisations take questions of teacher wellbeing. There are certainly few ELT writers who feel that their publishers have the slightest concern about their wellbeing. Similarly, we might consider the British Council, which is ‘committed to supporting policymakers, school leaders and teachers in improving mental wellbeing in schools’. But less committed, it would seem, to their own teachers in Kabul or to their staff who went on strike earlier this year in protest at forced redundancies and outsourcing of jobs.

How long ‘wellbeing’ will continue to be seen as a useful marketing trope in ELT remains to be seen. It will be hard to sustain for very long, since there is so little to say about it without repetition, and since everyone is in on the game. My guess is that ‘wellbeing’ will soon be superseded by ‘sustainability’. ‘Sustainability’ is a better hooray word than ‘wellbeing’, because it combines environmental quality and wellbeing, throwing in ‘lifelong learning’ and ‘social justice’ for good measure (Kapranov, 2022). The wellbeing zones and hubs won’t need to be dismantled just yet, but there may well be a shift towards more sustainable self-care. Here are some top tips taken from How To Self-Care The Sustainable Way on the Wearth website: snooze your way to wellbeing, indulge and preen your body, grab a cuppa, slip into a warming bath, mindfully take care of your mind, retail therapy the wholesome way. All carbon-neutral, vegan and cruelty-free.

References

Barrington-Leigh, C. P. (2022) Trends in Conceptions of Progress and Well-being. In Helliwell, J. F., Layard, R., Sachs, J. D., De Neve, J.-E., Aknin, L. B. & Wang, S. World Happiness Report 2022. https://happiness-report.s3.amazonaws.com/2022/WHR+22.pdf  New York: Sustainable Development Solutions Network.

Bartels, M., Nes, R. B., Armitage, J. M., van de Weijer, M. P., de Vries L. P. & Haworth, C. M. A. (2022) Exploring the Biological Basis for Happiness. In Helliwell, J. F., Layard, R., Sachs, J. D., De Neve, J.-E., Aknin, L. B. & Wang, S. World Happiness Report 2022. https://happiness-report.s3.amazonaws.com/2022/WHR+22.pdf  New York: Sustainable Development Solutions Network.

Csikszentmihalyi, M. (1990) Flow: The Psychology of Optimal Experience. New York: Harper & Row

Forst, S. (2020) The Teacher’s Guide to Self-Care: Build Resilience, Avoid Burnout, and Bring a Happier and Healthier You to the Classroom. The Designer Teacher, LLC

Hascher, T. & Waber, J. (2021) Teacher well-being: A systematic review of the research literature from the year 2000–2019. Educational Research Review, 34 https://www.sciencedirect.com/science/article/pii/S1747938X21000348

Kapranov, O. (2022) The Discourse of Sustainability in English Language Teaching (ELT) at the University of Oxford: Analyzing Discursive Representations. Journal of Teacher Education for Sustainability, 24 (1):35-48 https://sciendo.com/article/10.2478/jtes-2022-0004

Pentón Herrera, L. J., Martínez-Alba, G. & Trinh, E. (Eds.) (2023) Teacher Well-Being in English Language Teaching: An Ecological Approach. Abingdon: Routledge

Lichterman, P. (1992) Self-help reading as a thin culture. Media, Culture and Society, 14: 421 – 447

McGee, M. (2005) Self-Help, Inc. Oxford: OUP

Mercer, S. & Gregersen, T. (2020) Teacher Wellbeing. Oxford: OUP

Widdowson, H. G. (2018) Applied linguistics as a transdisciplinary practice: What’s in a prefix? AILA Review, 31 (1): 135- 142

Widdowson, H. G. (2021) On the Subject of English. Berlin: De Gruyter

How to write about AI in language learning

The paragraph above was written by an AI-powered text generator called neuroflash https://app.neuro-flash.com/home which I told to produce a text on the topic ‘AI and education’. As texts on this topic go, it is both remarkable (in that it was not written by a human) and entirely unremarkable (in that it is practically indistinguishable from hundreds of human-written texts on the same subject). Neuroflash uses a neural network technology called GPT-3 – ‘a large language model’ – and ‘one of the most interesting and important AI systems ever produced’ (Chalmers, 2020). Basically, it generates text by predicting sequences of words based on huge databases. The nature of the paragraph above tells you all you need to know about the kinds of content that are usually found in texts about AI and education.

Not dissimilar from the neuroflash paragraph, educational commentary on uses of AI is characterised by (1) descriptions of AI tools already in use (e.g. speech recognition and machine translation) and (2) vague predictions which invariably refer to ‘the promise of personalised learning, adjusting what we give learners according to what they need to learn and keeping them motivated by giving them content that is of interest to them’ (Hughes, 2022). The question of what precisely will be personalised is unanswered: providing learners with optimal sets of resources (but which ones?), providing counselling services, recommendations or feedback for learners and teachers (but of what kind?) (Luckin, 2022). Nearly four years ago, I wrote https://adaptivelearninginelt.wordpress.com/2018/08/13/ai-and-language-teaching/ about the reasons why these questions remain unanswered. The short answer is that AI in language learning requires a ‘domain knowledge model’. This specifies what is to be learnt and includes an analysis of the steps that must be taken to reach that learning goal. This is lacking in SLA, or, at least, there is no general agreement on what it is. Worse, the models that are most commonly adopted in AI-driven programs (e.g. the deliberate learning of discrete items of grammar and vocabulary) are not supported by either current theory or research (see, for example, VanPatten & Smith, 2022).

In 2021, the IATEFL Learning Technologies SIG organised an event dedicated to AI in education. Unsurprisingly, there was a fair amount of input on AI in assessment, but my interest is in how AI might revolutionize how we learn and teach, not how we assess. What concrete examples did speakers provide?

Rose Luckin, the most well-known British expert on AI in education, kicked things off by mentioning three tools. One of these, Carnegie Learning, is a digital language course that looks very much like any of the ELT courses on offer from the big publishers – a fully blendable, multimedia (e.g. flashcards and videos) synthetic syllabus. This ‘blended learning solution’ is personalizable, since ‘no two students learn alike’, and, it claims, will develop a ‘lifelong love of language’. It appears to be premised on the idea of language learning as optimizing the delivery of ‘content’, of this content consisting primarily of discrete items, and of equating input with uptake. Been there, done that.

A second was Alelo Enskill https://www.alelo.com/about-us/ a chatbot / avatar roleplay program, first developed by the US military to teach Iraqi Arabic and aspects of Iraqi culture to Marines. I looked at the limitations of chatbot technology for language learning here https://adaptivelearninginelt.wordpress.com/2016/12/01/chatbots/ . The third tool mentioned by Luckin was Duolingo. Enough said.

Another speaker at this event was the founder and CEO of Edugo.AI https://www.edugo.ai/ , an AI-powered LMS which uses GPT-3. It allows schools to ‘create and upload on the platform any kind of language material (audio, video, text…). Our AI algorithms process and convert it in gamified exercises, which engage different parts of the brain, and gets students eager to practice’. Does this speaker know anything about gamification (for a quick read, I’d recommend Paul Driver (2012)) or neuroscience, I wonder. What, for that matter, does he know about language learning? Apparently, ‘language is not just about words, language is about sentences’ (Tomasello, 2022). Hmm, this doesn’t inspire confidence.

When you look at current uses of AI in language learning, there is very little (outside of testing, translation and speech ↔ text applications) that could justify enthusiastic claims that AI has any great educational potential. Skepticism seems to me a more reasonable and scientific response: de omnibus dubitandum.

Education is not the only field where AI has been talked up. When Covid hit us, AI was seen as the game-changing technology. It ‘could be deployed to make predictions, enhance efficiencies, and free up staff through automation; it could help rapidly process vast amounts of information and make lifesaving decisions’ (Chakravorti, 2022). The contribution of AI to the development of vaccines has been huge, but its role in diagnosing and triaging patients has been another matter altogether. Hundreds of predictive tools were developed: ‘none of them made a real difference, and some were potentially harmful’ (Heaven, 2021). Expectations were unrealistic and led to the deployment of tools before they were properly trialled. Thirty months down the line, a much more sober understanding of the potential of AI has emerged. Here, then, are the main lessons that have been learnt (I draw particularly on Engler, 2020, and Chakravorti, 2022) that are also relevant to education and language learning.

• Anticipate what could go wrong before anticipating what might go right. Engler (2020) writes that ‘a poorly kept secret of AI practitioners is that 96% accuracy is suspiciously high for any machine learning problem’. In language learning, it is highly unlikely that personalized recommendations will ever reach anything even approaching this level of reliability. What are the implications for individual learners whose learning is inappropriately personalised?
• We also know that a significant problem with AI systems is bias (O’Neil, 2016). There is a well-documented history of discriminatory outcomes because of people’s race, gender, social class or disability profile. Bias needs to be addressed proactively, not reactively.
• Acknowledge from the outset that, for AI to work, huge amounts of data related to prior outcomes will be needed. In the cases of both Covid and language learning, much of this data will be personal. This raises immediate questions of privacy and consent, especially for learners who are children. Don’t minimise this issue.
• Common by-products of AI use include insecure data storage, digital surveillance and consolidation of market power (Engler, 2020). Since such issues are so pervasive, assume they will be a problem, and need to be considered in evaluating the potential of any piece of AI edtech.
• Find out what the subject matter experts have to say: ‘AI is only helpful when applied judiciously by subject-matter experts—people with long-standing experience with the problem that they are trying to solve […] Effectively predicting a badly defined problem is worse than doing nothing at all’ (Engler, 2020). It may be that the problem the AI is trying to help solve is the wrong problem and not worth solving at all (e.g. more efficient ‘delivery’ of explicit grammatical knowledge, gamifying gapfills).

To bring this post to an end, I returned to the AI / GTP-3 driven neuroflash program. This time, I asked it to write a longer piece entitled ‘The dangers of artificial intelligence in education: what could go wrong?’. Here’s what it came up with:

There are a few potential dangers of artificial intelligence in education. One is that AI could be used to replace human teachers. This could lead to a decline in the quality of education, as machines are not yet capable of replicating the full range of human emotions and social interactions that are necessary for teaching. Additionally, AI could be used to create biased or “racist” educational materials, as has already happened with some commercial software products. Finally, AI could be used to track and monitor students in ways that invade their privacy, or that could be used to manipulate their behavior.

All of these dangers are real and should be taken seriously. However, it’s important to remember that AI is still a new technology, and its impact on education is not yet fully understood. As such, we should tread cautiously when implementing AI into our educational systems.

When it comes to education, artificial intelligence could be a double-edged sword. While AI has the potential to revolutionize the field of education and help students learn in more efficient ways, there are also dangers that need to be considered.

One of the dangers of AI in education is that it could lead to a more standardized and homogenized form of learning. If all students are relying on AI-based learning tools, they may all end up learning the same things in the same way. This could lead to a loss of creativity and individuality in education.

Another danger is that AI-based learning tools could become too reliant on data and algorithms. This could lead to a situation where students are simply being taught what the machines think they should know, rather than being allowed to explore and discover new things for themselves.

Finally, there is the danger that AI could eventually replace human teachers altogether. While this may seem like a far-fetched scenario, it is not outside the realm of possibility. If AI-based learning tools become sophisticated enough, they may one day be able to do the job of teaching just as well as humans can.

These are just some of the dangers that need to be considered when it comes to artificial intelligence in education. While AI has the potential to revolutionize education, we need to be careful about how we implement it so that we don’t end up doing more harm than good.

References

Chakravorti, B. (2022) Why AI Failed to Live Up to Its Potential During the Pandemic. Harvard Business Review March 17,2022. https://hbr.org/2022/03/why-ai-failed-to-live-up-to-its-potential-during-the-pandemic

Chalmers, D. (2020) Weinberg, Justin (ed.). “GPT-3 and General Intelligence”. Daily Nous. Philosophers On GPT-3 (updated with replies by GPT-3) July 30, 2020. https://dailynous.com/2020/07/30/philosophers-gpt-3/#chalmers

Driver, P. (2012) The Irony of Gamification. In English Digital Magazine 3, British Council Portugal, pp. 21 – 24 http://digitaldebris.info/digital-debris/2011/12/31/the-irony-of-gamification-written-for-ied-magazine.html

Engler, A. (2020) A guide to healthy skepticism of artificial intelligence and coronavirus. Washington D.C.: Brookings Institution https://www.brookings.edu/research/a-guide-to-healthy-skepticism-of-artificial-intelligence-and-coronavirus/

Heaven, W. D. (2021) Hundreds of AI tools have been built to catch covid. None of them helped. MIT Technology Review, July 30, 2021. https://www.technologyreview.com/2021/07/30/1030329/machine-learning-ai-failed-covid-hospital-diagnosis-pandemic/

Hughes, G. (2022) What lies at the end of the AI rainbow? IATEFL LTSIG Newsletter Issue April 2022

Luckin, R. (2022) The implications of AI for language learning and teaching. IATEFL LTSIG Newsletter Issue April 2022

O’Neil, C. (2016) Weapons of Math Destruction. London: Allen Lane

Tomasello, G. (2022) Next Generation of AI-Language Education Software:NLP & Language Modules (GPT3). IATEFL LTSIG Newsletter Issue April 2022

VanPatten, B. & Smith, M. (2022) Explicit and Implicit Learning in Second Language Acquisition. Cambridge: Cambridge University Press

The Long Covid of Education

The pandemic has affected all learners, but the more vulnerable the learner, the harder they have been hit. The evidence is very clear that Covid and the response of authorities to it has, in the words of UNESCO , ‘increased inequalities and exacerbated a pre-existing education crisis’. Learning poverty (a term coined by UNESCO and the World Bank), which refers to the ability to read and understand a simple text by the age of 10, is just one way of looking at these inequalities. Before the pandemic, 53% of children in low and middle income countries (and 9% in high income countries) were living in learning poverty. According to the World Bank (Azevedo et al., 2021), the pandemic will amplify this crisis with the figure rising to somewhere between 63% and 70%. The fear is that the recovery from Covid may be ‘similarly inequitable and that the effects of COVID-19 will be long-lasting’ (ibid.).

Inequity was not, of course, the only problem that educational systems faced before the pandemic. Since the turn of the millennium, it has been common to talk about ‘reimagining education’, and use of this phrase peaked in the summer of 2020. Leading the discoursal charge was Andreas Schleicher, head of education at the OECD, who saw the pandemic as ‘a great moment’ for education, since ‘the current wave of school closures offers an opportunity for experimentation and for envisioning new models of education’. Schleicher’s reimagining involves a closely intertwined privatization (by ending state monopolies) and digitalization of education (see this post for more details). Other reimaginings are usually very similar. Yong Zhao, for example, does not share Schleicher’s enthusiasm for standardized tests, but he sees an entrepreneurial, technology-driven, market-oriented approach as the way forward. He outlined this, pre-pandemic, in his book An Education Crisis is a Terrible Thing to Waste (Zhao et al., 2019), and then picked up on the pandemic (Zhao, 2020) to reiterate his ideas and, no doubt, to sell his book – all ‘in the spirit’, he writes, ‘of never wasting a good crisis’.

It was Churchill who first said ‘Never let a good crisis go to waste’, but it is often attributed to Emanuel Rahm, Obama’s Chief of Staff, who said the same thing in reference to the financial crisis of 2009. As we have seen in the last two years, crises can be good opportunities to push through policy changes. Viktor Orbán provides a good example. Crises can also be a way to make a financial killing, a practice known as ‘disaster capitalism’ (Loewenstein, 2017). Sometimes, it’s possible to change policy and turn a tidy profit at the same time. One example from the recent past shows us the way.

Following Hurricane Katrina in 2005, education was massively disrupted in New Orleans and the surrounding areas. Arne Duncan, who became Obama’s Secretary for Education a few years after Katrina, had this to say about the disaster: “Let me be really honest. I think the best thing that happened to the education system in New Orleans was Hurricane Katrina. That education system was a disaster, and it took Hurricane Katrina to wake up the community to say that ‘We have to do better.’” The reform that followed, inspired by Milton Friedman, involved replacing New Orleans’ public school system with privately run charter schools. The change took place with ‘military speed and precision’, compared to the ‘glacial pace’ with which levees and the electricity grid were repaired (Klein, 2007: 5). Nearly 5000 unionized teachers were fired, although some of the younger ones were rehired on reduced salaries. Most of the city’s poorer residents were still in exile when the changes took place: the impact on the most vulnerable students was entirely predictable. ‘The social and economic situation always bleeds into the school, said one researcher into the impact of the catastrophe.

Disaster capitalism may, then, be a useful lens through which to view the current situation (Moore et al., 2021). Betsy DeVos, Trump’s Secretary for Education, stated that the pandemic was an opportunity to ‘look very seriously at the fact that K-12 education for too long has been very static and very stuck in one method of delivering and making instruction available’ (Ferrari, 2020). What DeVos, who was famous for having described public education as a ‘dead end’, meant by this was privatization and digitalization, and privatization through digitalization. Although the pandemic is far from over, we can already begin to ask: has the crisis been wasted?

Turning from the US to Europe, a fascinating report by Zancajo et al (2022) examines the educational policy responses to Covid in a number of European countries. The first point to note is that the recovery plans of these countries is not fundamentally any different from pre-pandemic educational policy. The Covid-19 pandemic has simply ‘served as a catalyst to accelerate preexisting digitization policies in education systems’. Individual states are supported by the European Commission’s Digital Education Action Plan 2021–2027 (European Commission, 2021) which lists three main priorities: making use of technology, the development of digital skills for teachers and learners, and the increased use of data to improve education. The focus of attention of education policy in the national recovery plans of individual EU countries is almost completely monopolized by digitalization. Covid has not led to any reimagining of education: it has simple been ‘a path accelerator contributing to strengthening policy instruments and solutions that were already on the agenda (Zancajo et al., 2022). Less overtly obvious than digitalization has been the creeping privatization that occurs when a greater proportion of national education budgets is spent on technology provided by private companies.

Creeping privatization has been especially noticeable in British universities, which, for years, have been focusing on the most profitable ‘revenue streams’ and on cutting the costs of academic labour. The pandemic has been used by some (Leicester and Manchester, for example) as a justification for further restructuring, cost-cutting and the development of new digitally-driven business models (Nehring, 2021). In schools, the private technology providers were able to jump in quickly because the public sector was unprepared, and, in so doing, position themselves as essential services. The lack of preparedness of the public sector is not, of course, unsurprising, since it has been underfunded for so long. Underfund – create a crisis – privatize the solution: such has long been the ‘Shock Doctrine’ game plan of disaster capitalists. Naomi Klein has observed that where we have ended up in post-Covid education is probably where we would have ended up anyway: Covid accelerated the process by ten years.

Williamson and Hogan (2020) describe the current situation in the following terms:

The pivot to online learning and ‘emergency remote teaching’ has positioned educational technology (edtech) as an integral component of education globally, bringing private sector and commercial organisations into the centre of essential educational services. […] A global education industry of private and commercial organisations has played a significant role in educational provision during the Covid-19 crisis, working at local, national and international scales to insert edtech into educational systems and practices. It has often set the agenda, offered technical solutions for government departments of education to follow, and is actively pursuing long-term reforms whereby private technology companies would be embedded in public education systems during the recovery from the Covid-19 crisis and beyond it in new models of hybrid teaching and learning. […] Supported by multilateral policy influencing organisations and national government departments, these companies have integrated schools, teachers and students into their global cloud systems and online education platforms, raising the prospect of longterm dependencies of public education institutions on private technology infrastructures.

And where is educational equity in all this? Even the OECD is worried – more assessment is needed to identify learning losses, they say! A pandemic tale from California will give us a clue. When schools shut down, 50% of low-income California students lacked the necessary technology to access distance learning (Gutentag, 2020). Big Tech came riding to the rescue: donations from companies like HP, Amazon, Apple, Microsoft and Google made it possible for chromebooks and wifi hotspots to be made available for every student, and California legislators and corporations could congratulate themselves on closing the ‘digital divide’ (ibid.). To compensate for increased problems of homelessness, poverty, hunger, and discrimination, the most vulnerable students now have a laptop or tablet, with which they can generate data to be monetized by the tech vendors (Feathers, 2022).

References

Azevedo, J. P. W., Rogers, F. H., Ahlgren, S. E., Cloutier, M-H., Chakroun, B., Chang, G-C., Mizunoya, S., Reuge,N. J., Brossard, M., & Bergmann, J. L. (2021) The State of the Global Education Crisis : A Path to Recovery (English). Washington, D.C. : World Bank Group. https://documents1.worldbank.org/curated/en/416991638768297704/pdf/The-State-of-the-Global-Education-Crisis-A-Path-to-Recovery.pdf

European Commission. (2021) Digital education action plan 2021-2027. Resetting Education, Brussels

Feathers, T. (2022) This Private Equity Firm Is Amassing Companies That Collect Data on America’s Children. January 11th, 2022 The Markup https://themarkup.org/machine-learning/2022/01/11/this-private-equity-firm-is-amassing-companies-that-collect-data-on-americas-children

Ferrari, K. (2020) Disaster Capitalism Is Coming for Public Education. Jacobin 14 May 2020 https://jacobinmag.com/2020/05/public-education-schools-covid-coronavirus-charter-teachers

Gutentag, A. (2020) The Virtual Education Shock Doctrine. The Bellows https://www.thebellows.org/the-virtual-education-shock-doctrine/

Klein, N. (2007) The Shock Doctrine. New York: Metropolitan Books

Loewenstein, A. (2017) Disaster Capitalism. London: Verso Books

Moore, S. D. M., Jayme, B. D., Black, J. (2021) Disaster capitalism, rampant edtech opportunism, and the advancement of online learning in the era of COVID19. Critical Education, 12(2), 1-21.

Nehring, D. (2021) Is COVID-19 Enabling Academic Disaster Capitalism? Social Science Space 21 July 2021 https://www.socialsciencespace.com/2021/07/is-covid-19-enabling-academic-disaster-capitalism/

Williamson, B., & Hogan, A. (2020). Commercialisation and privatisation in/of education in the context of Covid-19. Education International, Brussels.

Zancajo, A., Verger, A. & Bolea, P. (2022) Digitalization and beyond: the effects of Covid-19 on post-pandemic educational policy and delivery in Europe, Policy and Society, puab016, https://doi.org/10.1093/polsoc/puab016

Zhao, Y. (2020) COVID-19 as a catalyst for educational change. Prospects 49: 29–33. https://doi.org/10.1007/s11125-020-09477-y

Zhao, Y., Emler, T. E., Snethen, A. & Yin, D. (2019) An Education Crisis is a Terrible Thing to Waste. New York: Teachers College Press

Innovation is great

Innovation and ELT

Next week sees the prize ceremony of the nineteenth edition of the British Council’s ELTons awards, celebrating ‘innovation in English language teaching and learning … the newest and most original courses, books, publications, apps, platforms, projects, and more.’ Since the Council launched the ELTons in 2003, it hasn’t been entirely clear what is meant by ‘innovation’. But, reflecting the use of the term in the wider (business) world, ‘innovation’ was seen as a positive value, an inherently good thing, and almost invariably connected to technological innovation. One of the award categories in the ELTons is for ‘digital innovation’, but many of the winners and shortlisted nominations in other categories have been primarily innovative in their use of technology (at first, CD-ROMs, before web-based applications became standard).

Historian Jill Lepore, among others, has traced the mantra of innovation at the start of this century back to renewed interest in the work of mid-20^th century Austrian economist, Joseph Schumpeter, in the 1990s. Schumpeter wrote about ‘creative disruption’, and his ideas gained widespread traction with the publication in 1997 of Clayton Christensen’s ‘The Innovator’s Dilemma: The Revolutionary Book that Will Change the Way You Do Business’. Under Christensen, ‘creative disruption’ morphed into ‘disruptive innovation’. The idea was memorably expressed in Facebook’s motto of ‘Move fast and break things’. Disruptive innovation was always centrally concerned with expanding the market for commercial products by leveraging technology to gain access to more customers. Innovation, then, was and is a commercial strategy, and could be used either in product development or simply as an advertising slogan.

From the start of the innovation wave, the British Council has been keen to position itself in the vanguard. It does this for two reasons. Firstly, it needs to promote its own products and, with the cuts to British Council funding, its need to generate more income is increasingly urgent: ELT products are the main source of this income. Secondly, as part of the Council’s role in pushing British ‘soft power’, it seeks to promote Britain as a desirable, and therefore innovative, place to do business or study. This is wonderfully reflected in a series of videos for the Council’s LearnEnglish website called ‘Britain is Great’, subsets of which are entitled ‘Entrepreneurs are GREAT’ and ‘Innovation is GREAT’ with films celebrating the work of people like Richard Branson and James Dyson. For a while, the Council had a ‘Director, English Language Innovation’, and the current senior management team includes a ‘Director Digital, Partnerships and Innovation’ and a ‘Director Transformation’. With such a focus on innovation at the heart of its organisation, it is hardly surprising that the British Council should celebrate the idea in its ELTons awards. The ELTons celebrate the Council itself, and its core message, as much as they do the achievements of the award winners. Finalists in the ELTons receive a ‘promotional kit’ which includes ‘assets for the promotion of products or publications’. These assets (badges, banners, and so on) serve to promote the Council brand at the same time as advertising the shortlisted products themselves.

Innovation and a better world

Innovation, especially ‘disruptive innovation’, is not, however, what it used to be. The work of Clayton Christensen has been largely discredited (Russell & Vinsel, 2016). The Facebook motto has been changed and ‘the Era of “Move Fast and Break Things” Is Over’ (Taneja, 2019). The interest in ‘minimal viable products’ has shifted to an interest in ‘minimal virtuous products’. This is reflected in the marketing of edtech with the growing focus on how product X or Y will make the world a better place in some way. The ELTons introduced ‘Judges’ Commendations’ for ‘Equality, Diversity and Inclusion’ and, this year, a new commendation for ‘Environmental Sustainability and Climate Action’. Innovation is still celebrated, but ‘disruption’ has undergone a slide of meaning, so that it is more likely now to refer to disruption caused by the Covid pandemic, and our responses to it. For example, TESOL Italy’s upcoming annual conference, entitled ‘Disruptive Innovations in ELT’, encourages contributions not only about online study and ‘interactive e-learning platforms’, but also about ‘sustainable development and social justice’, ‘resilience, collaboration, empathy, digital literacy, soft skills, and global competencies’. Innovation is still presented as a good, even necessary, thing.

I am not suggesting that the conflation of innovation with positive social good is purely virtue-signalling, although it is sometimes clearly that. However, the rhetorical shift makes it harder for anyone to criticise innovations, when they are presented as solutions to problems that need to be solved. Allen et al (2021) argue that ‘those who propose solutions are always virtuous because they clearly care about a problem we must solve. Those who suggest the solution will not work, and who have no better solution, are denying the problem the opportunity of the resolution it so desperately needs’.

There are, though, good reasons to be wary of ‘innovation’ in education. First among these is the lessons of history, which teach us that today’s ‘next big thing’ is usually tomorrow’s ‘last next big thing’ (Allen, et al., 2021). On the technology front, from programmed instruction to interactive whiteboards, educational history is littered with artefacts that have been oversold and underused (Cuban, 2001). Away from technology, from Multiple Intelligences to personalized learning, we see the same waves of enthusiasm and widespread adoption, followed by waning interest and abandonment. The waste of money and effort along the way has been colossal, although that is not to say that there have not been some, sometimes significant, gains.

The second big reason to be wary of technological innovations in education is that they focus our attention on products of various kinds. But products are not at the heart of schooling: it is labour, especially the work of teachers, which occupies that place. It is not Zoom that made possible the continuation of education during the pandemic lockdowns. Indeed, in many parts of the world, lower-tech or zero-tech solutions had to be found. It was teachers’ readiness to adapt to the new circumstances that allowed education to stumble onwards during the crisis. Vinsel and Russell’s recent book, ‘The Innovation Delusion’ (2021) compellingly argues that the focus on innovation has led us to ‘devalue the work that underpins modern life’. They point out (Russell and Vinsel, 2016) that ‘feminist theorists have long argued that obsessions with technological novelty obscures all of the labour, including housework, that women, disproportionately, do to keep life on track’. Parallels with the relationship between teachers and technology are hard to avoid. The presentation of innovation as an inherently desirable value ‘rarely asks who benefits, to what end?’

The ‘ELT’ in the ELTons

It’s time to consider the ‘ELT’ part of the ELTons. ‘ELT’ is a hypothetical construct that is often presented as a concrete reality, rather than a loosely-bound constellation of a huge number of different practices and attitudes, many of which have very little in common with each other. This reification of ‘ELT’ can serve a number of purposes, one of which is to frame discourse in particular ways. In a post from a few years ago, Andrew Wickham and I discussed how the framing of ‘ELT’ (and education, more generally) as an industry serves particular interests, but may be detrimental to the interests of others.

Perhaps a useful way of viewing ‘ELT’ is as a discourse community. Borg (2003) argues that ‘membership of a discourse community is usually a matter of choice’. That is to say that you are part of ‘ELT’ if you choose to identify yourself as such. In Europe, huge numbers of English language teachers do not choose to identify themselves primarily as an ‘ELT teacher’: they may see this label as relevant to them, but a more immediate and primary self-identification is often as a ‘school teacher’, a ‘primary school teacher’, a ‘(modern) languages teacher’, a ‘CLIL teacher’, and so on. They work in the state / public sectors. The concerns and interests of those who do not self-identify as ‘ELT practitioners’ are most likely to revolve around their local contexts and issues. Those of us who self-identify as ‘ELT practitioners’ are more likely to be interested in what we share with others who self-identify in the same way in different parts of the globe. The relevance of local contexts and issues is mostly to be found in how they may shed light on more global concerns. If you prioritise the local over the global, your participation in the ‘ELT’ discourse community is likely to be limited. Things like the ELTons are simply off your radar.

Borg (2003) also points out that discourse communities typically have ‘experts who perform gatekeeping roles’. The discourse of ‘ELT’ is enacted in magazines, blogs, videos, webinars and conferences aimed at English language teachers. I exclude from this list academic journals and books which are known to be consulted only rarely by the vast majority of teachers. Similarly, I exclude the more accessible books that have been written specifically for English language teachers, which are mostly sold in minuscule quantities, except for those that are required reading for training courses. The greatest number of contributors to the discourse of ‘ELT’ are authors, developers and publishers of language teaching materials and tools, teachers representing product vendors or (directly or indirectly) promoting their own products, representatives of private teaching / training schools, and organisations, representatives of international examination bodies, and representatives of universities (which, in some countries, essentially function as private institutions (Chowdhury & Ha, 2014)).

In other words, the discourse of ‘ELT’ is shaped to a very significant extent by gatekeepers who have a product to sell. Their customers are often those who do not self-identify in the same way as members of the ‘ELT’ discourse community. The British Council is a key gatekeeper in this discourse and it is a private sector operator par excellence.

The lack of interest in the workers of ‘ELT’ is well documented – see for example the Teachers as Workers blog. It is hardly unexpected, especially in the private sector. The British Council has a long history of labour disputes. At the present time, the Public and Commercial Services Union in the UK is balloting members about strike action against forced redundancies, which ‘are disproportionately targeted at middle to lower graded staff, while at the same time new management positions and a new deputy chief executive officer post are to be created’. One of the aims of the union is to stop the privatisation / outsourcing of Council jobs. The British government’s recent failure to relocate British Council employees in Afghanistan led to over 100,000 people signing a petition demanding action. The public silence of the British Council did little to inspire confidence in their interest in their workers.

The Council is a many-headed beast, and some of these heads do very admirable work in sponsoring or supporting a large variety of valuable projects. I don’t think the ELTons is one of these. The ideology behind them is highly questionable, and their ‘best before’ date has long expired. And given the financial constraints that the Council is now operating under, the money might be better spent elsewhere.

References

Allen, R., Evans, M. & White, B. (2021) The Next Big Thing in School Improvement. Woodbridge: John Catt Educational

Borg, E. (2003) Discourse Community. ELT Journal 57 (4): 398-400

Chowdhury, R. & Ha, P. L. (2014) Desiring TESOL and International Education. Bristol: Multilingual Matters

Christensen, C. M. (1997) The Innovator’s Dilemma: The Revolutionary Book that Will Change the Way You Do Business. Cambridge: Harvard Business Review Press

Cuban, L. (2001) Oversold and Underused: Computers in the Classroom. Cambridge: Harvard University Press

Lepore, J. (2014) The Disruption Machine. The New Yorker, June 16, 2014. https://www.newyorker.com/magazine/2014/06/23/the-disruption-machine

Russell, A. L. & Vinsel, L. (2016) Hail the Maintainers. Aeon, 7 April 2016 https://aeon.co/essays/innovation-is-overvalued-maintenance-often-matters-more

Taneja, H. (2019) The Era of “Move Fast and Break Things” Is Over. Harvard Business Review, January 22, 2019, https://hbr.org/2019/01/the-era-of-move-fast-and-break-things-is-over

Vinsel, L. & Russell, A. L. (2020) The Innovation Delusion. New York: Currency Books

QR codes and language teaching

I’d never felt any need for a QR reader on my phone until one day, a few lockdowns ago, I had to scan a code in order to be allowed to sit down outside my nearest breadshop, Anker, to eat a sandwich. Since replacing my phone a week or so ago, it was only this morning that I felt the need to install a new reader. It will come as no surprise to learn that I have never used QR codes in a classroom, and probably never will.

A book that I co-authored a few years ago included QR codes on some pages, and these take you to video recordings of ‘real students’ carrying out tasks from the book. We don’t learn much about these students’ lives, but we can assume that they are learning English in pre-Covid days, when they went into a physical classroom from time to time. But now that the physical classroom is becoming a receding memory, I have to fear for the future of QR codes in language teaching. Who needs a barcode web link when you’re online already?

I’ve seen some fun suggestions for using QR codes in the classroom. Placing QR codes in prominent places around the school – linking to the codes reveals a set of questions or clues in a treasure hunt. Getting learners to prepare their own multimedia material to upload to an interactive map of their school / town / whatever. Other suggestions involve things like sticking QR codes around the walls of the classroom, or walking around with a QR code stuck on your back or your forehead. But they all require physical space, imagining face-to-face contact. And they all require that phones are allowed, which, in turn, requires a whole lot of administration in some places (e.g. with kids). The activities tend to be a bit juvenile.

Some suggestions for using QR codes are decidedly less fun, in my view. Notifying students of their homework assignments by sending them a QR code, for example. Or giving the answers to an exercise when they click on the link.

More ideas can be found here and in ETpedia Technology (Hockly, 2017) and no doubt some other places, too.

(Image from https://www.teacherspayteachers.com/Product/Pirate-Joke-QR-Codes-1262320 )

You can evaluate your own affective response to QR codes in education by pointing your phone at the image above. That’s tricky, of course, if you’re reading this on your phone, and not another device. (Someone is selling this for a dollar.)

So why are they used? According to Cruse and Brereton (2018), they ‘can make classroom activities more engaging and allow students to perform previously impossible or impractical tasks’. Those previously impossible or impractical tasks are, of course, no longer impossible or impractical when the whole class is online. And this leaves us with the main claim of QR advocates: use of these codes leads to more learner engagement. How well does the claim hold up?

With a little encouragement, most people would rather scan a code than manually type in a link. But we don’t really have any evidence that English language learners would be more motivated and engaged if they point their phone at codes. Perhaps, there are some like me who don’t really want to get their phone out. Eye-rollers who find it hard to suppress a groan when someone suggests you use Mentimeter. Of course, the way you feel about using your phone for activities like these may also depend on how good your wifi is (or whether you have any wifi).

Cruse and Brereton’s (2018) first ‘Principle of Good Practice’ is that QR use ‘should not be a gimmick’. If you’re not convinced by the engagement argument, what other reasons could there be? To promote learner autonomy and differentiation? To facilitate asynchronous learning? To support constructivist learning by providing multiple representations of reality and enabling ‘context- and content-dependent knowledge construction’ (Alizadeh, 2019)? To develop digital literacies? Evidence is lacking.

QR codes have soared in global reach since the start of the pandemic, especially for payments and advertising. I also came across a novel use for QR with code stickers designed for tombstones (‘bringing monuments into the 21^st century’). I imagine, with a little more investment, scanning the code could generate a realistic hologram of the deceased. But someone needs to come up with a convincing way of using them in online language learning.

References

Alizadeh, M. (2019) Augmented/virtual reality promises for ELT practitioners. In P. Clements, A. Krause, & P. Bennett (Eds.), Diversity and inclusion. Tokyo: JALT.

Hockly, N. (2017) ETpedia Technology. Hove: Pavilion Publishing

Cruse, D. T. H., & Brereton, P. (2018) Integrating QR codes into ELT materials. In P. Clements, A. Krause, & P. Bennett (Eds.), Language teaching in a global age: Shaping the classroom, shaping the world. Tokyo: JALT.

The digital future of education (according to the OECD)

On 21 January, I attended the launch webinar of DEFI (the Digital Education Futures Initiative), an initiative of the University of Cambridge, which seeks to work ‘with partners in industry, policy and practice to explore the field of possibilities that digital technology opens up for education’. The opening keynote speaker was Andrea Schleicher, head of education at the OECD. The OECD’s vision of the future of education is outlined in Schleicher’s book, ‘World Class: How to Build a 21st-Century School System’, freely available from the OECD, but his presentation for DEFI offers a relatively short summary. A recording is available here, and this post will take a closer look at some of the things he had to say.

Schleicher is a statistician and the coordinator of the OECD’s PISA programme. Along with other international organisations, such as the World Economic Forum and the World Bank (see my post here), the OECD promotes the global economization and corporatization of education, ‘based on the [human capital] view that developing work skills is the primary purpose of schooling’ (Spring, 2015: 14). In other words, the main proper function of education is seen to be meeting the needs of global corporate interests. In the early days of the COVID-19 pandemic, with the impact of school closures becoming very visible, Schleicher expressed concern about the disruption to human capital development, but thought it was ‘a great moment’: ‘the current wave of school closures offers an opportunity for experimentation and for envisioning new models of education’. Every cloud has a silver lining, and the pandemic has been a godsend for private companies selling digital learning (see my post about this here) and for those who want to reimagine education in a more corporate way.

Schleicher’s presentation for DEFI was a good opportunity to look again at the way in which organisations like the OECD are shaping educational discourse (see my post about the EdTech imaginary and ELT).

He begins by suggesting that, as a result of the development of digital technology (Google, YouTube, etc.) literacy is ‘no longer just about extracting knowledge’. PISA reading scores, he points out, have remained more or less static since 2000, despite the fact that we have invested (globally) more than 15% extra per student in this time. Only 9% of all 15-year-old students in the industrialised world can distinguish between fact and opinion.

To begin with, one might argue about the reliability and validity of the PISA reading scores (Berliner, 2020). One might also argue, as did a collection of 80 education experts in a letter to the Guardian, that the scores themselves are responsible for damaging global education, raising further questions about their validity. One might argue that the increased investment was spent in the wrong way (e.g. on hardware and software, rather than teacher training, for example), because the advice of organisations like OECD has been uncritically followed. And the statistic about critical reading skills is fairly meaningless unless it is compared to comparable metrics over a long time span: there is no reason to believe that susceptibility to fake news is any more of a problem now than it was, say, one hundred years ago. Nor is there any reason to believe that education can solve the fake-news problem (see my post about fake news and critical thinking here). These are more than just quibbles, but the main point that Schleicher is making is that education needs to change.

Schleicher next presents a graph which is designed to show that the amount of time that students spend studying correlates poorly with the amount they learn. His interest is in the (lack of) productivity of educational activities in some contexts. He goes on to argue that there is greater productivity in educational activities when learners have a growth mindset, implying (but not stating) that mindset interventions in schools would lead to a more productive educational environment.

Schleicher appears to confuse what students learn with the things they have learnt that have been measured by PISA. The two are obviously rather different, since PISA is only interested in a relatively small subset of the possible learning outcomes of schooling. His argument for growth mindset interventions hinges on the assumption that such interventions will lead to gains in reading scores. However, his graph demonstrates a correlation between growth mindset and reading scores, not a causal relationship. A causal relationship has not been clearly and empirically demonstrated (see my post about growth mindsets here) and recent work by Carol Dweck and her associates (e.g. Yeager et al., 2016), as well as other researchers (e.g. McPartlan et al, 2020), indicates that the relationship between gains in learning outcomes and mindset interventions is extremely complex.

Schleicher then turns to digitalisation and briefly discusses the positive and negative affordances of technology. He eulogizes platform companies before showing a slide designed to demonstrate that (in the workplace) there is a strong correlation between ICT use and learning. He concludes: ‘the digital world of learning is a hugely empowering world of learning’.

A brief paraphrase of this very disingenuous part of the presentation would be: technology can be good and bad, but I’ll only focus on the former. The discourse appears balanced, but it is anything but.

During the segment, Schleicher argues that technology is empowering, and gives the examples of ‘the most successful companies these days, they’re not created by a big industry, they’re created by a big idea’. This is plainly counterfactual. In the case of Alphabet and Facebook, profits did not follow from a ‘big idea’: the ideas changed as the companies evolved.

Schleicher then sketches a picture of an unpredictable future (pandemics, climate change, AI, cyber wars, etc.) as a way of framing the importance of being open (and resilient) to different futures and how we respond to them. He offers two different kinds of response: maintenance of the status quo, or ‘outsourcing’ of education. The pandemic, he suggests, has made more countries aware that the latter is the way forward.

In his discussion of the maintenance of the status quo, Schleicher talks about the maintenance of educational monopolies. By this, he must be referring to state monopolies on education: this is a favoured way of neoliberals of referring to state-sponsored education. But the extent to which, in 2021 in many OECD countries, the state has any kind of monopoly of education, is very open to debate. Privatization is advancing fast. Even in 2015, the World Education Forum’s ‘Final Report’ wrote that ‘the scale of engagement of nonstate actors at all levels of education is growing and becoming more diversified’. Schleicher goes on to talk about ‘large, bureaucratic school systems’, suggesting that such systems cannot be sufficiently agile, adaptive or responsive. ‘We should ask this question,’ he says, but his own answer to it is totally transparent: ‘changing education can be like moving graveyards’ is the title of the next slide. Education needs to be more like the health sector, he claims, which has been able to develop a COVID vaccine in such a short period of time. We need an education industry that underpins change in the same way as the health industry underpins vaccine development. In case his message isn’t yet clear enough, I’ll spell it out: education needs to be privatized still further.

Schleicher then turns to the ways in which he feels that digital technology can enhance learning. These include the use of AR, VR and AI. Technology, he says, can make learning so much more personalized: ‘the computer can study how you study, and then adapt learning so that it is much more granular, so much more adaptive, so much more responsive to your learning style’. He moves on to the field of assessment, again singing the praises of technology in the ways that it can offer new modes of assessment and ‘increase the reliability of machine rating for essays’. Through technology, we can ‘reunite learning and assessment’. Moving on to learning analytics, he briefly mentions privacy issues, before enthusing at greater length about the benefits of analytics.

Learning styles? Really? The reliability of machine scoring of essays? How reliable exactly? Data privacy as an area worth only a passing mention? The use of sensors to measure learners’ responses to learning experiences? Any pretence of balance appears now to have been shed. This is in-your-face sales talk.

Next up is a graph which purports to show the number of teachers in OECD countries who use technology for learners’ project work. This is followed by another graph showing the number of teachers who have participated in face-to-face and online CPD. The point of this is to argue that online CPD needs to become more common.

I couldn’t understand what point he was trying to make with the first graph. For the second, it is surely the quality of the CPD, rather than the channel, that matters.

Schleicher then turns to two further possible responses of education to unpredictable futures: ‘schools as learning hubs’ and ‘learn-as-you-go’. In the latter, digital infrastructure replaces physical infrastructure. Neither is explored in any detail. The main point appears to be that we should consider these possibilities, weighing up as we do so the risks and the opportunities (see slide below).

Useful ways to frame questions about the future of education, no doubt, but Schleicher is operating with a set of assumptions about the purpose of education, which he chooses not to explore. His fundamental assumption – that the primary purpose of education is to develop human capital in and for the global economy – is not one that I would share. However, if you do take that view, then privatization, economization, digitalization and the training of social-emotional competences are all reasonable corollaries, and the big question about the future concerns how to go about this in a more efficient way.

Schleicher’s (and the OECD’s) views are very much in accord with the libertarian values of the right-wing philanthro-capitalist foundations of the United States (the Gates Foundation, the Broad Foundation and so on), funded by Silicon Valley and hedge-fund managers. It is to the US that we can trace the spread and promotion of these ideas, but it is also, perhaps, to the US that we can now turn in search of hope for an alternative educational future. The privatization / disruption / reform movement in the US has stalled in recent years, as it has become clear that it failed to deliver on its promise of improved learning. The resistance to privatized and digitalized education is chronicled in Diane Ravitch’s latest book, ‘Slaying Goliath’ (2020). School closures during the pandemic may have been ‘a great moment’ for Schleicher, but for most of us, they have underscored the importance of face-to-face free public schooling. Now, with the electoral victory of Joe Biden and the appointment of a new US Secretary for Education (still to be confirmed), we are likely to see, for the first time in decades, an education policy that is firmly committed to public schools. The US is by far the largest contributor to the budget of the OECD – more than twice any other nation. Perhaps a rethink of the OECD’s educational policies will soon be in order?

References

Berliner D.C. (2020) The Implications of Understanding That PISA Is Simply Another Standardized Achievement Test. In Fan G., Popkewitz T. (Eds.) Handbook of Education Policy Studies. Springer, Singapore. https://doi.org/10.1007/978-981-13-8343-4_13

McPartlan, P., Solanki, S., Xu, D. & Sato, B. (2020) Testing Basic Assumptions Reveals When (Not) to Expect Mindset and Belonging Interventions to Succeed. AERA Open, 6 (4): 1 – 16 https://journals.sagepub.com/doi/pdf/10.1177/2332858420966994

Ravitch, D. (2020) Slaying Goliath: The Passionate Resistance to Privatization and the Fight to Save America’s Public School. New York: Vintage Books

Schleicher, A. (2018) World Class: How to Build a 21^st-Century School System. Paris: OECD Publishing https://www.oecd.org/education/world-class-9789264300002-en.htm

Spring, J. (2015) Globalization of Education 2nd Edition. New York: Routledge

Yeager, D. S., et al. (2016) Using design thinking to improve psychological interventions: The case of the growth mindset during the transition to high school. Journal of Educational Psychology, 108(3), 374–391. https://doi.org/10.1037/edu0000098

Fake news and critical thinking in ELT

Since no single definition of critical thinking prevails (Dummett & Hughes, 2019: 2), discussions of the topic invariably begin with attempts to provide a definition. Lai (2011) offers an accessible summary of a range of possible meanings, but points out that, in educational contexts, its meaning is often rather vague and encompasses other concepts (such as higher order thinking skills) which also lack clarity. Paul Dummett and John Hughes (2019: 4) plump for ‘a mindset that involves thinking reflectively, rationally and reasonably’ – a definition which involves a vague noun (that could mean a fixed state of mind, a learned attitude, a disposition or a mood) and three highly subjective adverbs. I don’t think I could do any better. However, instead of looking for a definition, we can reach a sort of understanding by looking at examples of it. Dummett and Hughes’ book is extremely rich in practical examples, and the picture that emerges of critical thinking is complex and multifaceted.

As you might expect of a weasel word like ‘critical thinking’, there appears to be general agreement that it’s a ‘good thing’. Paul Dummett suggests that there are two common reasons for promoting the inclusion of critical thinking activities in the language classroom. The first of these is a desire to get students thinking for themselves. The second is the idea ‘that we live in an age of misinformation in which only the critically minded can avoid manipulation or slavish conformity’. Neither seems contentious at first glance, although he points out that ‘they tend to lead to a narrow application of critical thinking in ELT materials: that is to say, the analysis of texts and evaluation of the ideas expressed in them’. It’s the second of these rationales that I’d like to explore further.

Penny Ur (2020: 9) offers a more extended version of it:

The role of critical thinking in education has become more central in the 21^st century, simply because there is far more information readily available to today’s students than there was in previous centuries (mainly, but not only, online), and it is vital for them to be able to deal with such input wisely. They need to be able to distinguish between what is important and what is trivial, between truth and lies, between fact and opinion, between logical argument and specious propaganda […] Without such skills and awareness of the need to exercise them, they are liable to find themselves victims of commercial or political interests, their thinking manipulated by persuasion disguised as information.

In the same edited collection Olja Milosevic (2020:18) echoes Ur’s argument:

Critical thinking becomes even more important as communication increasingly moves online. Students find an overwhelming amount of information and need to be taught how to evaluate its relevance, accuracy and quality. If teachers do not teach students how to go beyond surface meaning, students cannot be expected to practise it.

In the passages I’ve quoted, these writers are referring to one particular kind of critical thinking. The ability to critically evaluate the reliability, accuracy, etc of a text is generally considered to be a part of what is usually called ‘media information literacy’. In these times of fake news, so the argument goes, it is vital for students to develop (with their teachers’ help) the necessary skills to spot fake news when they see it. The most prototypical critical thinking activity in ELT classrooms is probably one in which students analyse some fake news, such as the website about the Pacific Tree Octopus (which is the basis of a lesson in Dudeney et al., 2013: 198 – 203).

Before considering media information literacy in more detail, it’s worth noting in passing that a rationale for critical thinking activities is no rationale at all if it only concerns one aspect of critical thinking, since it has applied attributes of a part (media information literacy) to a bigger whole (critical thinking).

There is no shortage of good (free) material available for dealing with fake news in the ELT classroom. Examples include work by James Taylor, Chia Suan Chong and Tyson Seburn. Material of this kind may result in lively, interesting, cognitively challenging, communicative and, therefore, useful lessons. But how likely is it that material of this kind will develop learners’ media information literacy and, by extension therefore, their critical thinking skills? How likely is it that teaching material of this kind will help people identify (and reject) fake news? Is it possible that material of this kind is valuable despite its rationale, rather than because of it? In the spirit of rational, reflective and reasonable thinking, these are questions that seem to be worth exploring.

ELT classes and fake news

James Taylor has suggested that the English language classroom is ‘the perfect venue for [critical thinking] skills to be developed’. Although academic English courses necessarily involve elements of critical thinking, I’m not so sure that media information literacy (and, specifically, the identification of fake news) can be adequately addressed in general English classes. There are so many areas, besides those that are specifically language-focussed, competing for space in language classes (think of all those other 21^st century skills), that it is hard to see how sufficient time can be found for real development of this skill. It requires modelling, practice of the skill, feedback on the practice, and more practice (Mulnix, 2010): it needs time. Fake news activities in the language classroom would, of course, be of greater value if they were part of an integrated approach across the curriculum. Unfortunately, this is rarely the case.

Information literacy skills

Training materials for media information literacy usually involve a number of stages. These include things like fact-checking and triangulation of different sources, consideration of web address, analysis of images, other items on the site, source citation and so on. The problem, however, is that news-fakers have become so good at what they do. The tree octopus site is very crude in comparison to what can be produced nowadays by people who have learnt to profit from the online economy of misinformation. Facebook employs an army of algorithmic and human fact-checkers, but still struggles. The bottom line is that background knowledge is needed (this is as true for media information literacy as it is for critical thinking more generally) (Willingham, 2007). With news, the scope of domain knowledge is so vast that it is extremely hard to transfer one’s ability to critically evaluate one particular piece of news to another. We are all fooled from time to time.

Media information literacy interventions: research on effectiveness

With the onset of COVID-19, the ability to identify fake news has become, more than ever, a matter of life and death. There is little question that this ability correlates strongly with analytic thinking (see, for example, Stanley et al., 2020). What is much less clear is how we can go about promoting analytic thinking. Analytic thinking comes in different varieties, and another hot-off-the-press research study into susceptibility to COVID-19 fake news (Roozenbeek et al., 2020) has found that the ability to spot fake news may correlate more strongly with numerical literacy than with reasoning ability. In fact, the research team found that a lack of numerical literacy was the most consistent predictor of susceptibility to misinformation about COVID-19. Perhaps we are attempting to develop the wrong kind of analytic thinking?

In educational contexts, attempts to promote media information literacy typically seek to develop reasoning abilities, and the evidence for their effectiveness is mixed. First of all, it needs to be said that ‘little large-scale evidence exists on the effectiveness of promoting digital media literacy as a response to online misinformation’ (Guess et al., 2020). An early meta-analysis (Jeong et al., 2012) found that such interventions had a positive effect, when the interventions were long (not one-off), but impacted more on students’ knowledge than they did on their behaviour. More recently, Huguet et al (2019) were unable to draw ‘definitive conclusions from past research, such as what kinds of media literacy practices work and under what conditions’. And this year, a study by Guess et al (2020) did not generate sufficient evidence ‘to conclude that the [media information literacy] intervention changed real-world consumption of false news’. I am unaware of any robust research in this area in the context of ELT.

It’s all rather disappointing. Why are we not better at it? After all, teachers of media studies have been exploring pathways for many years now. One possible answer is this: Media information literacy, like critical thinking more generally, is a skill that is acquirable, but it can only be acquired if there is a disposition to do so. The ability to think critically and the disposition to do so are separate entities (Facione, 2000). Training learners to be more critical in their approach to media information may be so much pissing in the wind if the disposition to be sceptical is not there. Shaping dispositions is a much harder task than training skills.

Both of the research studies into susceptibility to COVID-19 misinformation that I referred to earlier in this section underscore the significance of dispositions to analytic thinking. Roozenbeek et al (2020) found, in line with much previous research (for example, Jost et al. 2018), that political conservatism is associated with a slightly higher susceptibility to misinformation. Political views (on either side of the political spectrum) rarely change as a result of exposure to science or reasoned thinking. They also found that ‘self-identifying as a member of a minority predicts susceptibility to misinformation about the virus in all countries surveyed’ (except, interestingly, in the UK). Again, when issues of identity are at stake, emotional responses tend to trump rational ones.

Rational, reflective and reasonable thinking about media information literacy leads to an uncomfortable red-pill rabbit-hole. This is how Bulger and Davidson (2018) put it:

The extent to which media literacy can combat the problematic news environment is an open question. Is denying the existence of climate change a media literacy problem? Is believing that a presidential candidate was running a sex-trafficking ring out of a pizza shop a media literacy problem? Can media literacy combat the intentionally opaque systems of serving news on social media platforms? Or intentional campaigns of disinformation?

Teachers and fake news

The assumption that the critical thinking skills of young people can be developed through the intervention of their teachers is rarely problematized. It should be. A recent study of Spanish pre-service teachers (Fuertes-Prieto et al., 2020) showed that their ‘level of belief in pseudoscientific issues is comparable, or even higher in some cases to those of the general population’. There is no reason to believe that this changes after they have qualified. Teachers are probably no more likely to change their beliefs when presented with empirical evidence (Menz et al., 2020) than people from any other profession. Research has tended to focus on teachers’ lack of critical thinking in areas related to their work, but, things may be no different in the wider world. It is estimated that over a quarter of teachers in the US voted for the world’s greatest peddler of fake news in the 2016 presidential election.

It is also interesting to note that the sharing of fake news on social media is much more widespread among older people (including US teachers who have an average age of 42.4) than those under 30 (Bouygues, 2019).

Institutional contexts and fake news

Cory Doctorow has suggested that the fake news problem is not a problem of identifying what is true and what is fake, but a problem ‘about how we know whether something is true. We’re not disagreeing about facts, we’re disagreeing about epistemology’. In a post-modernist world of ‘Truth Decay’ (Kavanagh & Rich, 2018), where there is ‘a blurring of the line between opinion and fact’, epistemological authority is a rare commodity. Medicine, social sciences and applied linguistics are all currently experiencing a ‘replication crisis’ (Ioannidis, 2005) and we had a British education minister saying that ‘people of this country have had enough of experts’.

News reporting has always relied to some extent on trust in the reliability of the news source. The BBC or CNN might attempt to present themselves as more objective than, say, Fox News or InfoWars, but trust in all news outlets has collapsed globally in recent years. As Michael Shudson has written in the Columbia Journalism Review, ‘all news outlets write from a set of values, not simply from a disinterested effort at truth’. If a particular news channel manifestly shares different values from your own, it is easy to reject the veracity of the news it reports. Believers in COVID conspiracy theories often hold their views precisely because of their rejection of the epistemological authority of mainstream news and the WHO or governments who support lockdown measures.

The training of media information literacy in schools is difficult because, for many people in the US (and elsewhere), education is not dissimilar to mainstream media. They ‘are seen as the enemy — two institutions who are trying to have power over how people think. Two institutions that are trying to assert authority over epistemology’ (boyd, 2018). Schools have always been characterized by imbalances in power (between students and teachers / administrators), and this power dynamic is not conducive to open-minded enquiry. Children are often more aware of the power of their teachers than they are accepting of their epistemological authority. They are enjoined to be critical thinkers, but only about certain things and only up to a certain point. One way for children to redress the power imbalance is to reject the epistemological authority of their teachers. I think this may explain why a group of young children I observed recently coming out of a lesson devoted to environmental issues found such pleasure in joking about Greta ‘Thunfisch’.

Power relationships in schools are reflected and enacted in the interaction patterns between teachers and students. The most common of these is ‘initiation-response-feedback (IRF)’ and it is unlikely that this is particularly conducive to rational, reflective and reasonable thinking. At the same time, as Richard Paul, one of the early advocates of critical thinking in schools, noted, much learning activity is characterised by lower order thinking skills, especially memorization (Paul, 1992: 22). With this kind of backdrop, training in media information literacy is more likely to be effective if it goes beyond the inclusion of a few ‘fake news’ exercises: a transformation in the way that the teaching is done will also be needed. Benesch (1999) describes this as a more ‘dialogic’ approach and there is some evidence that a more dialogic approach can have a positive impact on students’ dispositions (e.g. Hajhosseiny, 2012).

I think that David Buckingham (2019a) captures the educational problem very neatly:

There’s a danger here of assuming that we are dealing with a rational process – or at least one that can, by some pedagogical means, be made rational. But from an educational perspective, we surely have to begin with the question of why people might believe apparently ‘fake’ news in the first place. Where we decide to place our trust is as much to do with fantasy, emotion and desire, as with rational calculation. All of us are inclined to believe what we want to believe.

Fake news: a problem or a symptom of a problem?

There has always been fake news. The big problem now is ‘the speed and ease of its dissemination, and it exists primarily because today’s digital capitalism makes it extremely profitable – look at Google and Facebook – to produce and circulate false but click-worthy narratives’ (Morosov, 2017). Fake news taps into and amplifies broader tendencies and divides in society: the problem is not straightforward and is unlikely to be easy to eradicate (Buckingham, 2019a: 3).

There is increasing discussion of media regulation and the recent banning by Facebook of Holocaust denial and QAnon is a recognition that some regulation cannot now be avoided. But strict regulations would threaten the ‘basic business model, and the enormous profitability’ of social media companies (Buckingham, 2009b) and there are real practical and ethical problems in working out exactly how regulation would happen. Governments do not know what to do.

Lacking any obvious alternative, media information literacy is often seen as the solution: can’t we ‘fact check and moderate our way out of this conundrum’ (boyd, 2018)? danah boyd’s stark response is, no, this will fail. It’s an inadequate solution to an oversimplified problem (Buckingham, 2019a).

Along with boyd and Buckingham, I’m not trying to argue that we drop media information literacy activities from educational (including ELT) programmes. Quite the opposite. But if we want our students to think reflectively, rationally and reasonably, I think we will need to start by doing the same.

References

Benesch, S. (1999). Thinking critically, thinking dialogically. TESOL Quarterly, 33: pp. 573 – 580

Bouygues, H. L. (2019). Fighting Fake News: Lessons From The Information Wars. Reboot Foundation https://reboot-foundation.org/fighting-fake-news/

boyd, d. (2018). You Think You Want Media Literacy… Do You? Data and Society: Points https://points.datasociety.net/you-think-you-want-media-literacy-do-you-7cad6af18ec2

Buckingham, D. (2019a). Teaching Media in a ‘Post-Truth’ Age: Fake News, Media Bias and the Challenge for Media Literacy Education. Cultura y Educación 31(2): pp. 1-19

Buckingham, D. (2019b). Rethinking digital literacy: Media education in the age of digital capitalism. https://ddbuckingham.files.wordpress.com/2019/12/media-education-in-digital-capitalism.pdf

Bulger, M. & Davidson, P. (2018). The Promises, Challenges and Futures of Media Literacy. Data and Society. https://datasociety.net/pubs/oh/DataAndSociety_Media_Literacy_2018.pdf

Doctorow, C. (2017). Three kinds of propaganda, and what to do about them. boingboing 25^th February 2017, https://boingboing.net/2017/02/25/counternarratives-not-fact-che.html

Dudeney, G., Hockly, N. & Pegrum, M. (2013). Digital Literacies. Harlow: Pearson Education

Dummett, P. & Hughes, J. (2019). Critical Thinking in ELT. Boston: National Geographic Learning

Facione, P. A. (2000). The disposition toward critical thinking: Its character, measurement, and relation to critical thinking skill. Informal Logic, 20(1), 61–84.

Fuertes-Prieto, M.Á., Andrés-Sánchez, S., Corrochano-Fernández, D. et al. (2020). Pre-service Teachers’ False Beliefs in Superstitions and Pseudosciences in Relation to Science and Technology. Science & Education 29, 1235–1254 (2020). https://doi.org/10.1007/s11191-020-00140-8

Guess, A. M., Lerner, M., Lyons, B., Montgomery, J. M., Nyhan, N., Reifler, J. & Sircar, N. (2020). A digital media literacy intervention increases discernment between mainstream and false news in the United States and India. Proceedings of the National Academy of Sciences Jul 2020, 117 (27) 15536-15545; DOI: 10.1073/pnas.1920498117

Hajhosseiny, M. (2012). The Effect of Dialogic Teaching on Students’ Critical Thinking Disposition. Procedia – Social and Behavioral Sciences, 69: pp. 1358 – 1368

Huguet, A., Kavanagh, J., Baker, G. & Blumenthal, M. S. (2019). Exploring Media Literacy Education as a Tool for Mitigating Truth Decay. RAND Corporation, https://www.rand.org/content/dam/rand/pubs/research_reports/RR3000/RR3050/RAND_RR3050.pdf

Ioannidis, J. P. A. (2005). Why Most Published Research Findings Are False. PLoS Medicine 2 (8): e124. https://doi.org/10.1371/journal.pmed.0020124

Jeong, S. H., Cho, H., & Hwang, Y. (2012). Media literacy interventions: A meta-analytic review. Journal of Communication, 62, pp. 454–472

Jones-Jang, S. M., Mortensen, T. & Liu, J. (2019). Does media literacy help identification of fake news? Information literacy helps, but other literacies don’t. American Behavioral Scientist, pp. 1 – 18, doi:10.1177/0002764219869406

Jost, J. T., van der Linden, S., Panagopoulos, C. & Hardin, C. D. (2018). Ideological asymmetries in conformity, desire for shared reality, and the spread of misinformation. Current Opinion in Psychology, 23: pp/ 77-83. doi:10.1016/j.copsyc.2018.01.003

Kavanagh, J. & Rich, M. D. (2018). Truth Decay: An Initial Exploration of the Diminishing Role of Facts and Analysis in American Public Life. RAND Corporation, https://www.rand.org/pubs/research_reports/RR2314.html

Lai, E.R. 2011. Critical Thinking: A Literature Review. Pearson. http://images.pearsonassessments.com/images/tmrs/CriticalThinkingReviewFINAL.pdf

Menz, C., Spinath, B. & Seifried, E. (2020). Misconceptions die hard: prevalence and reduction of wrong beliefs in topics from educational psychology among preservice teachers. European Journal of Psychology of Education https://doi.org/10.1007/s10212-020-00474-5

Milosevic, O. (2020). Promoting critical thinking in the EFL classroom. In Mavridi, S. & Xerri, D. (Eds.) English for 21st Century Skills. Newbury, Berks.: Express Publishing. pp.17 – 22

Morozov, E. (2017). Moral panic over fake news hides the real enemy – the digital giants. The Guardian, 8 January 2017 https://www.theguardian.com/commentisfree/2017/jan/08/blaming-fake-news-not-the-answer-democracy-crisis

Mulnix, J.W. 2010. ‘Thinking critically about critical thinking’ Educational Philosophy and Theory, 2010

Paul, R. W. (1992). Critical thinking: What, why, and how? New Directions for Community Colleges, 77: pp. 3–24.

Roozenbeek, J., Schneider, C.R., Dryhurst, S., Kerr, J., Freeman, A. L. J., Recchia, G., van der Bles, A. M. & and van der Linden, S. (2020). Susceptibility to misinformation about COVID-19 around the world. Royal Society Open Science, 7 (10) https://doi.org/10.1098/rsos.201199

Stanley, M., Barr, N., Peters, K. & Seli, P. (2020). Analytic-thinking predicts hoax beliefs and helping behaviors in response to the COVID-19 pandemic. PsyArxiv Preprints doi:10.31234/osf.io/m3vt

Ur, P. (2020). Critical Thinking. In Mavridi, S. & Xerri, D. (Eds.) English for 21st Century Skills. Newbury, Berks.: Express Publishing. pp.9 – 16

Willingham, D. T. (2007). Critical Thinking: Why Is It So Hard to Teach? American Educator Summer 2007: pp. 8 – 19

Critical data literacy #1: our data and ELT websites

Take the Cambridge Assessment English website, for example. When you connect to the site, you will see, at the bottom of the screen, a familiar (to people in Europe, at least) notification about the site’s use of cookies: the cookies consent.

You probably trust the site, so ignore the notification and quickly move on to find the resource you are looking for. But if you did click on hyperlinked ‘set cookies’, what would you find? The first link takes you to the ‘Cookie policy’ where you will be told that ‘We use cookies principally because we want to make our websites and mobile applications user-friendly, and we are interested in anonymous user behaviour. Generally our cookies don’t store sensitive or personally identifiable information such as your name and address or credit card details’. Scroll down, and you will find out more about the kind of cookies that are used. Besides the cookies that are necessary to the functioning of the site, you will see that there are also ‘third party cookies’. These are explained as follows: ‘Cambridge Assessment works with third parties who serve advertisements or present offers on our behalf and personalise the content that you see. Cookies may be used by those third parties to build a profile of your interests and show you relevant adverts on other sites. They do not store personal information directly but use a unique identifier in your browser or internet device. If you do not allow these cookies, you will experience less targeted content’.

This is not factually inaccurate: personal information is not stored directly. However, it is extremely easy for this information to be triangulated with other information to identify you personally. In addition to the data that you generate by having cookies on your device, Cambridge Assessment will also directly collect data about you. Depending on your interactions with Cambridge Assessment, this will include ‘your name, date of birth, gender, contact data including your home/work postal address, email address and phone number, transaction data including your credit card number when you make a payment to us, technical data including internet protocol (IP) address, login data, browser type and technology used to access this website’. They say they may share this data ‘with other people and/or businesses who provide services on our behalf or at our request’ and ‘with social media platforms, including but not limited to Facebook, Google, Google Analytics, LinkedIn, in pseudonymised or anonymised forms’.

In short, Cambridge Assessment may hold a huge amount of data about you and they can, basically, do what they like with it.

The cookie and privacy policies are fairly standard, as is the lack of transparency in the phrasing of them. Rather more transparency would include, for example, information about which particular ad trackers you are giving your consent to. This information can be found with a browser extension tool like Ghostery, and these trackers can be blocked. As you’ll see below, there are 5 ad trackers on this site. This is rather more than other sites that English language teachers are likely to go to. ETS-TOEFL has 4, Macmillan English and Pearson have 3, CUP ELT and the British Council Teaching English have 1, OUP ELT, IATEFL, BBC Learning English and Trinity College have none. I could only find TESOL, with 6 ad trackers, which has more. The blogs for all these organisations invariably have more trackers than their websites.

The use of numerous ad trackers is probably a reflection of the importance that Cambridge Assessment gives to social media marketing. There is a research paper, produced by Cambridge Assessment, which outlines the significance of big data and social media analytics. They have far more Facebook followers (and nearly 6 million likes) than any other ELT page, and they are proud of their #1 ranking in the education category of social media. The amount of data that can be collected here is enormous and it can be analysed in myriad ways using tools like Ubervu, Yomego and Hootsuite.

A little more transparency, however, would not go amiss. According to a report in Vox, Apple has announced that some time next year ‘iPhone users will start seeing a new question when they use many of the apps on their devices: Do they want the app to follow them around the internet, tracking their behavior?’ Obviously, Google and Facebook are none too pleased about this and will be fighting back. The implications for ad trackers and online advertising, more generally, are potentially huge. I wrote to Cambridge Assessment about this and was pleased to hear that ‘Cambridge Assessment are currently reviewing the process by which we obtain users consent for the use of cookies with the intention of moving to a much more transparent model in the future’. Let’s hope that other ELT organisations are doing the same.

You may be less bothered than I am by the thought of dozens of ad trackers following you around the net so that you can be served with more personalized ads. But the digital profile about you, to which these cookies contribute, may include information about your ethnicity, disabilities and sexual orientation. This profile is auctioned to advertisers when you visit some sites, allowing them to show you ‘personalized’ adverts based on the categories in your digital profile. Contrary to EU regulations, these categories may include whether you have cancer, a substance-abuse problem, your politics and religion (as reported in Fortune https://fortune.com/2019/01/28/google-iab-sensitive-profiles/ ).

But it’s not these cookies that are the most worrying aspect about our lack of digital privacy. It’s the sheer quantity of personal data that is stored about us. Every time we ask our students to use an app or a platform, we are asking them to divulge huge amounts of data. With ClassDojo, for example, this includes names, usernames, passwords, age, addresses, photographs, videos, documents, drawings, or audio files, IP addresses and browser details, clicks, referring URL’s, time spent on site, and page views (Manolev et al., 2019; see also Williamson, 2019).

It is now widely recognized that the ‘consent’ that is obtained through cookie policies and other end-user agreements is largely spurious. These consent agreements, as Sadowski (2019) observes, are non-negotiated, and non-negotiable; you either agree or you are denied access. What’s more, he adds, citing one study, it would take 76 days, working for 8 hours a day, to read the privacy policies a person typically encounters in a year. As a result, most of us choose not to choose when we accept online services (Cobo, 2019: 25). We have little, if any, control over how the data that is collected is used (Birch et al., 2020). More importantly, perhaps, when we ask our students to sign up to an educational app, we are asking / telling them to give away their personal data, not just ours. They are unlikely to fully understand the consequences of doing so.

The extent of this ignorance is also now widely recognized. In the UK, for example, two reports (cited by Sander, 2020) indicate that ‘only a third of people know that data they have not actively chosen to share has been collected’ (Doteveryone, 2018: 5), and that ‘less than half of British adult internet users are aware that apps collect their location and information on their personal preferences’ (Ofcom, 2019: 14).

The main problem with this has been expressed by programmer and activist, Richard Stallman, in an interview with New York magazine (Kulwin, 2018): Companies are collecting data about people. The data that is collected will be abused. That’s not an absolute certainty, but it’s a practical, extreme likelihood, which is enough to make collection a problem.

The abuse that Smallman is referring to can come in a variety of forms. At the relatively trivial end is the personalized advertising. Much more serious is the way that data aggregation companies will scrape data from a variety of sources, building up individual data profiles which can be used to make significant life-impacting decisions, such as final academic grades or whether one is offered a job, insurance or credit (Manolev et al., 2019). Cathy O’Neil’s (2016) best-selling ‘Weapons of Math Destruction’ spells out in detail how this abuse of data increases racial, gender and class inequalities. And after the revelations of Edward Snowden, we all know about the routine collection by states of huge amounts of data about, well, everyone. Whether it’s used for predictive policing or straightforward repression or something else, it is simply not possible for younger people, our students, to know what personal data they may regret divulging at a later date.

Digital educational providers may try to reassure us that they will keep data private, and not use it for advertising purposes, but the reassurances are hollow. These companies may change their terms and conditions further down the line, and examples exist of when this has happened (Moore, 2018: 210). But even if this does not happen, the data can never be secure. Illegal data breaches and cyber attacks are relentless, and education ranked worst at cybersecurity out of 17 major industries in one recent analysis (Foresman, 2018). One report suggests that one in five US schools and colleges have fallen victim to cyber-crime. Two weeks ago, I learnt (by chance, as I happened to be looking at my security settings on Chrome) that my passwords for Quizlet, Future Learn, Elsevier and Science Direct had been compromised by a data breach. To get a better understanding of the scale of data breaches, you might like to look at the UK’s IT Governance site, which lists detected and publicly disclosed data breaches and cyber attacks each month (36.6 million records breached in August 2020). If you scroll through the list, you’ll see how many of them are educational sites. You’ll also see a comment about how leaky organisations have been throughout lockdown … because they weren’t prepared for the sudden shift online.

Recent years have seen a growing consensus that ‘it is crucial for language teaching to […] encompass the digital literacies which are increasingly central to learners’ […] lives’ (Dudeney et al., 2013). Most of the focus has been on the skills that are needed to use digital media. There also appears to be growing interest in developing critical thinking skills in the context of digital media (e.g. Peachey, 2016) – identifying fake news and so on. To a much lesser extent, there has been some focus on ‘issues of digital identity, responsibility, safety and ethics when students use these technologies’ (Mavridi, 2020a: 172). Mavridi (2020b: 91) also briefly discusses the personal risks of digital footprints, but she does not have the space to explore more fully the notion of critical data literacy. This literacy involves an understanding of not just the personal risks of using ‘free’ educational apps and platforms, but of why they are ‘free’ in the first place. Sander (2020b) suggests that this literacy entails ‘an understanding of datafication, recognizing the risks and benefits of the growing prevalence of data collection, analytics, automation, and predictive systems, as well as being able to critically reflect upon these developments. This includes, but goes beyond the skills of, for example, changing one’s social media settings, and rather constitutes an altered view on the pervasive, structural, and systemic levels of changing big data systems in our datafied societies’.

In my next two posts, I will, first of all, explore in more detail the idea of critical data literacy, before suggesting a range of classroom resources.

(I posted about privacy in March 2014, when I looked at the connections between big data and personalized / adaptive learning. In another post, September 2014, I looked at the claims of the CEO of Knewton who bragged that his company had five orders of magnitude more data about you than Google has. … We literally have more data about our students than any company has about anybody else about anything, and it’s not even close. You might find both of these posts interesting.)

References

Birch, K., Chiappetta, M. & Artyushina, A. (2020). ‘The problem of innovation in technoscientific capitalism: data rentiership and the policy implications of turning personal digital data into a private asset’ Policy Studies, 41:5, 468-487, DOI: 10.1080/01442872.2020.1748264

Cobo, C. (2019). I Accept the Terms and Conditions. https://adaptivelearninginelt.files.wordpress.com/2020/01/41acf-cd84b5_7a6e74f4592c460b8f34d1f69f2d5068.pdf

Doteveryone. (2018). People, Power and Technology: The 2018 Digital Attitudes Report. https://attitudes.doteveryone.org.uk

Dudeney, G., Hockly, N. & Pegrum, M. (2013). Digital Literacies. Harlow: Pearson Education

Foresman, B. (2018). Education ranked worst at cybersecurity out of 17 major industries. Edscoop, December 17, 2018. https://edscoop.com/education-ranked-worst-at-cybersecurity-out-of-17-major-industries/

Kulwin, K. (2018). F*ck Them. We Need a Law’: A Legendary Programmer Takes on Silicon Valley, New York Intelligencer, 2018, https://nymag.com/intelligencer/2018/04/richard-stallman-rms-on-privacy-data-and-free-software.html

Manolev, J., Sullivan, A. & Slee, R. (2019). ‘Vast amounts of data about our children are being harvested and stored via apps used by schools’ EduReseach Matters, February 18, 2019. https://www.aare.edu.au/blog/?p=3712

Mavridi, S. (2020a). Fostering Students’ Digital Responsibility, Ethics and Safety Skills (Dress). In Mavridi, S. & Saumell, V. (Eds.) Digital Innovations and Research in Language Learning. Faversham, Kent: IATEFL. pp. 170 – 196

Mavridi, S. (2020b). Digital literacies and the new digital divide. In Mavridi, S. & Xerri, D. (Eds.) English for 21^st Century Skills. Newbury, Berks.: Express Publishing. pp. 90 – 98

Moore, M. (2018). Democracy Hacked. London: Oneworld

Ofcom. (2019). Adults: Media use and attitudes report [Report]. https://www.ofcom.org.uk/__data/assets/pdf_file/0021/149124/adults-media-use-and-attitudes-report.pdf

O’Neil, C. (2016). Weapons of Math Destruction. London: Allen Lane

Peachey, N. (2016). Thinking Critically through Digital Media. http://peacheypublications.com/

Sadowski, J. (2019). ‘When data is capital: Datafication, accumulation, and extraction’ Big Data and Society 6 (1) https://doi.org/10.1177%2F2053951718820549

Sander, I. (2020a). What is critical big data literacy and how can it be implemented? Internet Policy Review, 9 (2). DOI: 10.14763/2020.2.1479 https://www.econstor.eu/bitstream/10419/218936/1/2020-2-1479.pdf

Sander, I. (2020b). Critical big data literacy tools—Engaging citizens and promoting empowered internet usage. Data & Policy, 2: e5 doi:10.1017/dap.2020.5

Williamson, B. (2019). ‘Killer Apps for the Classroom? Developing Critical Perspectives on ClassDojo and the ‘Ed-tech’ Industry’ Journal of Professional Learning, 2019 (Semester 2) https://cpl.asn.au/journal/semester-2-2019/killer-apps-for-the-classroom-developing-critical-perspectives-on-classdojo

Teacher wellbeing: always look on the bright side

Precarity

Barely liveable hourly wages, no job security because there is no permanent contract (so employment may be terminated at short or no notice), no social security, paid health care or pension, struggling to meet everyday needs, such as food and accommodation … this is the situation for at least one in five workers in the UK and similar figures exist in many countries (e.g. one in six in New Zealand). As Bourdieu (1998: 81ff.) noted, job insecurity is now everywhere.

Many English language teachers, especially those working for private schools or universities operating like private schools, belong to what has been termed the global educational precariat. In addition to language school and university language teachers, there are hundreds of thousands of teachers, mostly American and British, working in English-medium schools ‘international schools’ around the world (Bunnell, 2016). Besides financial insecurity, many of these teachers also suffer from a lack of agency and a marginalisation of their professional identities (Poole, 2019). There’s a very useful article on ‘precarity’ in ELT Journal (Walsh, 2019) that I’d recommend.

Even teachers with reasonable pay and job security are facing attacks on their pay and working conditions. A few weeks ago in Jordan, security forces shut down the teachers’ union and arrested leading members. Teachers union leaders have also been imprisoned recently in Iran and Cambodia. The pages of the website of Education International , a global federation of teachers’ trade unions, catalogue the crises in education and the lives of teachers around the world.

Teacher bashing, in particular attacks on teacher unions, has been relentless. Four years ago, it was reported that teacher bashing had ‘reached unprecedented levels’ in the US (Saltzman, 2017: 39), where there has been a concerted attempt, over many years, to blame teachers for shortcomings in the educational system (see, for example, Kumashiro, 2012). Although it may have been the US that led the way, closely followed by Australia and the UK, attacks on teachers have become a global phenomenon. Mary Compton and Lois Weiner’s book, ‘The Global Assault on Teaching, Teachers and their Unions’ (Compton & Weiner 2008), gives examples from China to South Africa, from Denmark to Mexico, of how teachers’ pay and conditions have been eroded. The reason? Quite simply, it is because teachers have stood in the way of so-called ‘reforms’ (e.g. pay cuts). It is because they have, as they are doing now in times of COVID-19, stood in the way of what governments have wanted to do. In an earlier post, I wrote in more detail about the ways in which the World Bank has spearheaded the drive towards privatized, lower cost education around the world.

COVID-19 has, of course, made matters worse, much worse. As often as not, the pandemic has been used as an excuse to accelerate attacks on teachers that were well under way long before.

Wellbeing

In the circumstances, it is not surprising that teacher wellbeing has recently become a more talked-about topic. Precisely because there is so little of it about.

The publication earlier this year of a book about teacher wellbeing (Mercer & Gregersen, 2020) for language teachers is very timely. The authors acknowledge that real change for wellbeing [must] addresses structural and systemic levels of change and is not just a matter for individual teachers to cope with alone. They acknowledge that teachers should not have to compensate for fundamental flaws in the system as a whole that undermine their wellbeing, and they express concern about the risks associated with discussing teacher wellbeing at the individual level and not acknowledging that the systems in which teachers work may be at fault (Mercer & Gregersen, 2020: 9). But, with these caveats out of the way, the matter is closed, and the whole book is about how individuals can improve their wellbeing. Indeed, the book begins: As you read the title of this chapter, you might have thought how self-seeking or egocentric it sounds: It’s all about me? Our response is, ‘Yes, you!’ Throughout this book, we want you to focus your attention on yourself for a change, without any guilty feelings (Mercer & Gregersen, 2020: 1). Mindfulness techniques, tips for time management, ways of thinking positively and so on – it’s a compendium of self-help advice that may be helpful for language teachers. The real ravages of precarity, the real causes of so much lack of wellbeing, these do not get a mention.

Positive psychology

Mercer and Gregersen’s approach is directly inspired by the work of Martin Seligman, often referred to as the founder of ‘positive psychology’ (see, for example, Seligman, 2011; 2018). Positive psychology and Seligman’s ideas about wellbeing are not uncontested (see, for example, Bache & Reardon, 2016; Bache & Scott, 2018). The nub of the critiques is that positive psychology chooses to focus on happiness or wellbeing, rather than, say, justice, solidarity or loyalty. It articulates an underlying individualism and narrow sense of the social (Cabanas & Illouz, 2019: 68) and it is, therefore, not entirely surprising that much of the funding that made the rapid growth of positive psychology possible came from the ultra-conservative and religious institution, the John Templeton Foundation (Cabanas & Illouz, 2019: 20).

Mercer and Gregersen are not unaware of such critiques (see, for example, MacIntyre et al., 2016: 375). They mention the critiques of Barbara Ehrenreich (Ehrenreich, 2009), but, to the best of my knowledge, they have never troubled to respond to them. They have a very clear agenda – the promotion of positive psychology ideas in language teaching / learning contexts – which is made explicit in MacIntyre and Mercer (2014). A slew of articles, books and conference presentations have followed since then, and ‘Teacher Wellbeing’ is one of them. Mission seems to have been achieved.

Positive psychology has not only been criticised for its focus on the individual. Others have focused on its foundational assumptions, including decontextualized and ethnocentric claims; theoretical oversimplifications, tautologies and contradictions; methodological shortcomings; severe replicability problems; exaggerated generalizations; and even its therapeutic efficacy and scientific status (Cabanas & Illous, 2019: 29). Probably the most important of these critics was Richard Lazarus, whose work is certainly familiar to Mercer, Gregersen and their collaborators, since Lazarus’s criticisms are listed in MacIntyre and Mercer (2014) and elsewhere. These include:

• the over-use of crosssectional research designs
• a tendency to treat emotion too simplistically as either positive or negative
• inadequate attention to both differences among individuals within a group as well as the overlap between groups when discussing statistically significant group differences
• poor quality measurement of emotions.

However, as with the critiques of Ehrenreich, I have yet to find any examples of these authors actually addressing the criticisms. Instead, they prefer to talk about how problems such as those listed above need to be avoided in the future. For example, there is no doubt that the future development of the [positive psychology] approach within SLA can learn from these and other criticisms, write MacIntyre and Mercer (2014:161), and they see the future of positive psychology in language learning / teaching as being fundamentally grounded in science.

Empirical science

Acknowledging, but without actually addressing, past criticisms of the scientific shortcomings of positive psychology, MacIntyre and Mercer (2014: 15) insist that positive psychology is the empirical study of how people thrive and flourish […] it represents a form of “rebirth” for humanistic psychology, but with a stronger emphasis on empirical research. The word ‘empirical’ appears 4 times on this page and another 5 times in the article. In their follow-up book, ‘Positive Psychology in SLA’ (Macintyre et al., 2016), there is a whole section (over a third of the book) entitled ‘Empirical’. In a historical survey of positive psychology in foreign language teaching, written by close collaborators of Mercer, Gregersen and MacIntyre (Dewaele et al.,2019), the same focus on empirical science is chosen, with a description of positive psychology as being underpinned by solid empirical research. The frequency of this word choice is enough to set alarm bells ringing.

A year before the MacIntyre and Mercer article (2014), an article by Brown et al (2013) questioned one of the key empirical foundations of positive psychology, the so-called ‘critical positivity ratio’ (Fredrickson & Losada, 2005). Wikipedia explains this as the ratio of positive to negative emotions which distinguishes “flourishing” people from “languishing” people, and the ratio was 2.9013. A slightly later article (Brown et al, 2014) further debunked the work of Fredrickson, arguing that her work was full of conceptual difficulties and statistical flaws. Wikipedia now describes the ‘critical positivity ratio’ as ‘a largely discredited concept’. In contrast, Mercer and Gregersen (2020: 14) acknowledge that although the exact ratio (3:1) of positivity has been called into question by some, they reassert the value of Fredrickson’s work. They neither cite the criticisms, nor rebut them. In this, they are following a well-established tradition of positive psychology (Rhyff, 2003).

Given growing scepticism about the claims of positive psychology, MacIntyre et al (2016) elected to double-down. Even if empirical evidence for positive psychology was in short supply, it was incumbent on them to provide it. Hence, the section in their book entitled ‘Empirical’. Personally, I would have advised against it. The whole point of positive psychology, as outlined by Seligman, is to promote ‘wellbeing’. But what, exactly, is this? For some, like Mercer and Gregersen (2020: 3), it’s about finding meaning and connection in the world. For others, it’s not a ‘thing’ that needs research to uncover its essential nature, but as a social and cultural construction which is interesting as such, not least for what it can tell us about other social and cultural phenomena (Ereaut & Whiting, 2008). We may agree that it’s ‘a good thing’, but it lacks solidity as a construct. Even Seligman (2011: 15) comes to the conclusion that ‘wellbeing’ is not ‘a real thing. Rather, he says, it is a construct which has several measurable elements, each a real thing, each contributing to well-being, but none defining well-being. This, however, simply raises the question of how much of a ‘thing’ each of these elements are (Dodge et al., 2012). Seligman’s elements (Positive Emotion, Engagement, Relationships, Meaning, and Accomplishment (PERMA)) form the basis of Mercer and Gregersen’s book, but none lend themselves to clear, workable definitions. In the absence of construct validity, empirical research evidence will prove hard to find.

How well does the ‘Empirical’ section of Positive Psychology in SLA (MacIntyre et al., 2016) stand up? I don’t have space here to discuss all 7 chapters. However, I’ve selected the first of these, ‘Positive Psychology Exercises Build Social Capital for Language Learners: Preliminary Evidence’ (Gregersen et al, 2016) because it includes ‘evidence’ in the title and because it was written by two of the book’s editors. The research reported in this chapter involved five volunteer women, aged 20 -23, in an English program at an American university, who took part in a number of positive psychology exercises (PPEs) which entailed laughter, exercise, interaction with animals, listening to music, expressing gratitude and engaging in altruism. The data collected was self-rating questionnaires and some self-reflection discussion. The results indicated that the PPEs led to more positive emotions, with exercise and laughter leading to the greatest gains (but since the order of the PPEs was not randomized, and since the sample size was so small, this doesn’t really tell us anything). Some of the participants doubted the value of some of the PPEs. However, the participants developed better relationships with their partners and this may have led to gains in confidence. The authors conclude that although the present data-set is small, we see preliminary evidence of all three pillars of positive psychology supporting positive outcomes (p.164).

My own view is that this is wishful thinking. The only thing that this study does is to indicate that in this particular context with these particular learners, feeling good about what you are doing may help things along a bit. In addition, this has absolutely nothing to do with ‘social capital’, which the authors seem to have misunderstood. Citing an article by Nawyn et al (2012), they describe ‘social capital’ as emerging friendships that provide learners with positive emotional experiences and intangible resources for language acquisition (Gregersen et al, 2016: 147). But this is a misreading of the Nawyn et al article, which adheres fairly closely to Bourdieu’s notion of social capital as fundamentally about power relations, but extends it beyond purely economic power relations. Given the connections between the lack of teacher wellbeing and precarity, and given Bourdieu’s writings about precarity, the authors’ attempt to bring Bourdieu into their justification of positive psychological experiences, best undertaken at the individual level (Gregersen et al., 2016: 149), is really quite extraordinary. And if this is empirical evidence for anything, I’m a positive psychologist!

Cui bono?

It may be that some of the exercises suggested in Teacher Wellbeing will be of benefit to some, even many, teachers. Maybe. But the claims of empirical science behind this book are questionable, to say the least. More beneficial to teacher wellbeing would almost certainly be strong teacher unions, but these are only mentioned in passing. There is, incidentally, some recent evidence from the U.S. (Han, 2020), that highly unionized districts have higher average teacher quality and improved educational outcomes. But positive psychologists seem unwilling to explore the role that unions might play in teacher wellbeing. It is not, perhaps, coincidental that the chapter in Teacher Wellbeing that deals with teachers in their workplaces contains three recommendations for further reading, and all three are written for managers. The first on the list is called Build It: The Rebel Playbook for World-class Employee Engagement (Elliott & Corey, 2018).

The problems that teachers are facing, exacerbated by COVID-19, are fundamentally systemic and political. Mercer and Gregersen may be aware that there is a risk associated with discussing teacher wellbeing at the individual level and not acknowledging that the systems in which teachers work may be at fault, but it’s a risk they have chosen to take, believing that their self-help ideas are sufficiently valuable to make the risk worthwhile. I agree with a writer on the National Education Association blog, who thinks that self-care is important but argues that it is an insufficient and entirely too passive way to address the problems teachers are encountering today.

There are other ways of conceptualising teacher wellbeing (see, for example, the entries on the Education International website with this tag) and the Mercer / Gregersen book may be viewed as an attempt to ‘claim the field’. To return to Paul Walsh, whose article about precarity I recommended earlier, it is useful to see the current interest in teacher wellbeing in context. He writes: Well-being has entered ELT at a time when teachers have been demanding greater visibility and acceptance of issues such as mental health, poor working conditions, non-native speaker and gender equality. Yet to subsume these issues under a catch-all category does them a disservice. Because as soon as we put these issues under the well-being umbrella, they effectively vanish in a cloud of conceptual mist—and lose their sharp edges.

In this sense, a book like Teacher Wellbeing, although well-meaning, may well contribute to the undermining of the very thing it seeks to promote.

References

Bache, I. & Reardon, L. (2016) The Politics and Policy of Wellbeing: Understanding the Rise and Significance of a New Agenda. Cheltenham: Edward Elgar

Bache, I. and Scott, K. (eds.) (2018). The Politics of Wellbeing: Theory, Policy and Practice. Palgrave Macmillan

Bourdieu, P. (1998). Acts of Resistance: against the new myths of our time. Cambridge: Polity Press

Brown, N. J. L., Sokal, A. D., & Friedman, H. L. (2013). The complex dynamics of wishful thinking: The critical positivity ratio. American Psychologist, pp. 68, 801–813. http://dx.doi.org/10.1037/a0032850

Brown, N. J. L., MacDonald, D. A., Samanta, M. P., Friedman, H. L. & Coyne, J. C. (2014). A critical reanalysis of the relationship between genomics and well-being. Proceedings of the National Academy of Sciences of the United States of America, 111, 12705–12709. http://dx.doi.org/10.1073/pnas.1407057111

Bunnell, T. (2016). Teachers in International schools: a global educational ‘precariat’? Globalisation, Societies and Education, 14(4), pp. 543-559

Cabanas, E. & Illouz, E. (2019). Manufacturing Happy Citizens. Cambridge: Polity Press

Compton, M. & Weiner, L. (Eds.) (2008). The Global Assault on Teaching, Teachers and their Unions. Palgrave Macmillan

Dewaele, J. M., Chen, X., Padilla, A. M. & Lake, J. (2019). The Flowering of Positive Psychology in Foreign Language Teaching and Acquisition Research. Frontiers in psychology, 10, 2128. https://doi.org/10.3389/fpsyg.2019.02128

Dodge, R., Daly, A., Huyton, J. & Sanders, L. (2012). The challenge of defining wellbeing. International Journal of Wellbeing, 2(3), pp. 222-235. doi:10.5502/ijw.v2i3.4

Ehrenreich, B. (2009). Bright-Sided: How the relentless promotion of positive thinking has undermined America. New York: Metropolitan Books

Elliott, G. & Corey, D. (2018). Build It: The Rebel Playbook for World-class Employee Engagement. Chichester: Wiley

Ereaut, G. & Whiting, R. (2008). What do we mean by ‘wellbeing’? And why might it matter? Research Report No DCSF-RW073 Department for Children, Schools and Families https://dera.ioe.ac.uk/8572/1/dcsf-rw073%20v2.pdf

Fredrickson, B. L. & Losada, M.F. (2005). Positive affect and the complex dynamics of human flourishing. American Psychology, 60 (7): pp. 678–86. doi:10.1037/0003-066X.60.7.678

Gregersen, T., MacIntyre, P.D. & Meza, M. (2016). Positive Psychology Exercises Build Social Capital for Language Learners: Preliminary Evidence. In MacIntyre, P.D., Gregersen, T. & Mercer, S. (Eds.) Positive Psychology in SLA. Bristol: Multilingual Matters. pp.147 – 167

Han, E. S. (2020). The Myth of Unions’ Overprotection of Bad Teachers: Evidence from the District–Teacher Matched Data on Teacher Turnover. Industrial Relations, 59 (2): pp. 316 – 352

Kumashiro, K. K. (2012). Bad Teacher! How Blaming Teachers Distorts the Bigger Picture. Teachers College Press

Lazarus, R. S. (2003). Target article: Does the positive psychology movement have legs? Psychological Inquiry, 14 (2): pp. 93 – 109

MacIntyre, P.D. & Mercer, S. (2014). Introducing positive psychology to SLA. Studies in Second Language Learning and Teaching, 4 (2): pp. 153 -172

MacIntyre, P.D., Gregersen, T. & Mercer, S. (2016). Conclusion. In MacIntyre, P.D., Gregersen, T. & Mercer, S. (Eds.) Positive Psychology in SLA. Bristol: Multilingual Matters. pp.374 – 379

MacIntyre, P.D., Gregersen, T. & Mercer, S. (Eds.) (2016). Positive Psychology in SLA. Bristol: Multilingual Matters.

Mercer, S. & Gregersen, T. (2020). Teacher Wellbeing. Oxford: OUP

Nawyn, S.J., Gjokai, L., Agbenyiga, D.L. & Grace, B. (2012). Linguistic isolation, social capital, and immigrant belonging. Journal of Contemporary Ethnography 41 (3), pp.255 -282

Poole, A. (2019). International Education Teachers’ Experiences as an Educational Precariat in China. Journal of Research in International Education, 18 (1): pp. 60-76

Ryff, C. D. (2003). Corners of myopia in the positive psychology parade. Psychological Inquiry, 14: pp. 153–159

Saltzman, K. J. 2017. Scripted Bodies. Routledge

Seligman, M. (2011). Flourish – A new understanding of happiness and well-being – and how to achieve them. London: Nicholas Brealey Publishing.

Seligman, M. (2018). PERMA and the building blocks of well-being. The Journal of Positive Psychology, DOI: 10.1080/17439760.2018.1437466

Walsh, P. (2019). Precarity. ELT Journal, 73 (4), pp.459 – 462

Wong, P. T. P., & Roy, S. (2017). Critique of positive psychology and positive interventions. In N. J. L. Brown, T. Lomas, & F. J. Eiroa-Orosa (Eds.) The Routledge International Handbook of Critical Positive Psychology. London: Routledge.

Unpacking ‘the new normal’ in ELT

What is the ‘new normal’?

Among the many words and phrases that have been coined or gained new currency since COVID-19 first struck, I find ‘the new normal’ particularly interesting. In the educational world, its meaning is so obvious that it doesn’t need spelling out. But in case you’re unclear about what I’m referring to, the title of this webinar, run by GENTEFL, the Global Educators Network Association of Teachers of English as a Foreign Language (an affiliate of IATEFL), will give you a hint.

Teaching in a VLE may be overstating it a bit, but you get the picture. ‘The new normal’ is the shift away from face-to-face teaching in bricks-and-mortar institutions, towards online teaching of one kind or another. The Malaysian New Straits Times refers to it as ‘E-learning, new way forward in new norm’. The TEFL Academy says that ‘digital learning is the new normal’, and the New Indian Express prefers the term ‘tech education’.

I’ll come back to these sources in a little while.

Whose new normal?

There is, indeed, a strong possibility that online learning and teaching may become ‘the new normal’ for many people working in education. In corporate training and in higher education, ‘tech education’ will likely become increasingly common. Many universities, especially but not only in the US, Britain and Australia, have been relying on ‘international students’ (almost half a million in the UK in 2018/ 2019), in particular Chinese, to fill their coffers. With uncertainty about how and when these universities will reopen for the next academic year, a successful transition to online is a matter of survival – a challenge that a number of universities will probably not be able to rise to. The core of ELT, private TEFL schools in Inner Circle countries, likewise dependent on visitors from other countries, has also been hard hit. It is not easy for them to transition to online, since the heart of their appeal lies in their physical location.

But elsewhere, the picture is rather different. A recent Reddit discussion began as follows: ‘In Vietnam, [English language] schools have reopened and things have returned to normal almost overnight. There’s actually a teacher shortage at the moment as so many left and interest in online learning is minimal, although most schools are still offering it as an option’. The consensus in the discussion that follows is that bricks-and-mortar schools will take a hit, especially with adult (but not kids’) groups, but that ‘teaching online will not be the new normal’.

By far the greatest number of students studying English around the world are in primary and secondary schools. It is highly unlikely that online study will be the ‘new normal’ for most of these students (although we may expect to see attempts to move towards more blended approaches). There are many reasons for this, but perhaps the most glaringly obvious is that the function of schools is not exclusively educational: child-care, allowing parents to go to work, is the first among these.

We can expect some exceptions. In New York, for example, current plans include a ‘hybrid model’ (a sexed-up term for blended learning), in which students are in schools for part of the time and continue learning remotely for the rest. The idea emerged after Governor Andrew Cuomo ‘convened a committee with the Bill and Melinda Gates Foundation to reimagine education for students when school goes back in session in the fall’. How exactly this will pan out remains to be seen, but, in much of the rest of the world, where the influence of the Gates Foundation is less strong, ‘hybrid schooling’ is likely to be seen as even more unpalatable and unworkable than it is by many in New York.

In short, the ‘new normal’ will affect some sectors of English language teaching much more than others. For some, perhaps the majority, little change can be expected once state schools reopen. Smaller classes, maybe, more blended, but not a wholesale shift to ‘tech education’.

Not so new anyway!

Scott Galloway, a New York professor of marketing and author of the best-selling ‘The Four’ (an analysis of the Big Four tech firms), began a recent blog post as follows:

After COVID-19, nothing will be the same. The previous sentence is bullsh*t. On the contrary, things will never be more the same, just accelerated.

He elaborates his point by pointing out that many universities were already in deep trouble before COVID. Big tech had already moved massively into education and healthcare, which are ‘the only two sectors, other than government, that offer the margin dollars required to sate investors’ growth expectations’ (from another recent post by Galloway). Education start-ups have long been attracting cheap capital: COVID has simply sped the process up.

Coming from a very different perspective, Audrey Watters gave a conference presentation over three years ago entitled ‘Education Technology as ‘The New Normal’’. I have been writing about the normalization of digital tools in language teaching for over six years. What is new is the speed, rather than the nature, of the change.

Galloway draws an interesting parallel with the SARS virus, which, he says, ‘was huge for e-commerce in Asia, and it helped Alibaba break out into the consumer space. COVID-19 could be to education in the United States what SARS was to e-commerce in Asia’.

‘The new normal’ as a marketing tool

Earlier in this post, I mentioned three articles that discussed the ‘new normal’ in education. The first of these, from the New Straits Times, looks like a news article, but features extensive quotes from Shereen Chee, chief operating officer of Sunago Education, a Malaysian vendor of online English classes. The article is basically an advert for Sunago: one section includes the following:

Sunago combines digitisation and the human touch to create a personalised learning experience. […] Chee said now is a great time for employers to take advantage of the scheme and equip their team with enhanced English skills, so they can hit the ground running once the Covid-19 slump is over.

The second reference about ‘digital learning is the new normal’ comes from The TEFL Academy, which sells online training courses, particularly targeting prospective teachers who want to work online. The third reference, from the New Indian Express, was written by Ananth Koppar, the founder of Kshema Technologies Pvt Ltd, India’s first venture-funded software company. Koppar is hardly a neutral reporter.

Other examples abound. For example, a similar piece called ‘The ‘New Normal’ in Education’ can be found in FE News (10 June 2020). This was written by Simon Carter, Marketing and Propositions Director of RM Education, an EdTech vendor in the UK. EdTech has a long history of promoting its wares through sponsored content and adverts masquerading as reportage.

It is, therefore, a good idea, whenever you come across the phrase, ‘the new normal’, to adopt a sceptical stance from the outset. I’ll give two more examples to illustrate my point.

A recent article (1 April 2020) in the ELTABB (English Language Teachers Association Berlin Brandenburg) journal is introduced as follows:

With online language teaching being the new normal in ELT, coaching principles can help teachers and students share responsibility for the learning process.

Putting aside, for the moment, my reservations about whether online teaching is, in fact, the new normal in ‘ELT’, I’m happy to accept that coaching principles may be helpful in online teaching. But I can’t help noticing that the article was written by a self-described edupreneur and co-founder of the International Language Coaching Association (€50 annual subscription) which runs three-day training courses (€400).

My second example is a Macmillan webinar by Thom Kiddle called ‘Professional Development for teachers in the ‘new normal’. It’s a good webinar, a very good one in my opinion, but you’ll notice a NILE poster tacked to the wall behind Thom as he speaks. NILE, a highly reputed provider of teacher education courses in the UK, has invested significantly in online teacher education in recent years and is well-positioned to deal with the ‘new normal’. It’s also worth noting that the webinar host, Macmillan, is in a commercial partnership with NILE, the purpose of which is to ‘develop and promote quality teacher education programmes worldwide’. As good as the webinar is, it is also clearly, in part, an advertisement.

The use of the phrase ‘the new normal’ as a marketing hook is not new. Although its first recorded use dates back to the first part of the 20^th century, it became more widespread at the start of the 21^st. One populariser of the phrase was Roger McNamee, a venture capitalist and early investor in technology, including Facebook, who wrote a book called ‘The New Normal: Great Opportunities in a Time of Great Risk’ (2004). Since then, the phrase has been used extensively to refer to the state of the business world after the financial crisis of 2018. (For more about the history of the phrase, see here.) More often than not, users of the phrase are selling the idea (and sometimes a product) that we need to get used to a new configuration of the world, one in which technology plays a greater role.

Normalizing ‘the new normal’

Of all the most unlikely sources for a critique of ‘the new normal’, the World Economic Forum has the following to offer in a blog post entitled ‘There’s nothing new about the ‘new normal’. Here’s why’:

The language of a ‘new normal’ is being deployed almost as a way to quell any uncertainty ushered in by the coronavirus. With no cure in sight, everyone from politicians and the media to friends and family has perpetuated this rhetoric as they imagine settling into life under this ‘new normal’. This framing is inviting: it contends that things will never be the same as they were before — so welcome to a new world order. By using this language, we reimagine where we were previously relative to where we are now, appropriating our present as the standard. As we weigh our personal and political responses to this pandemic, the language we employ matters. It helps to shape and reinforce our understanding of the world and the ways in which we choose to approach it. The analytic frame embodied by the persistent discussion of the ‘new normal’ helps bring order to our current turbulence, but it should not be the lens through which we examine today’s crisis.

We can’t expect the World Economic Forum to become too critical of the ‘new normal’ of digital learning, since they have been pushing for it so hard for so long. But the quote from their blog above may usefully be read in conjunction with an article by Jun Yu and Nick Couldry, called ‘Education as a domain of natural data extraction: analysing corporate discourse about educational tracking’ (Information, Communication and Society, 2020, DOI: 10.1080/1369118X.2020.1764604). The article explores the general discursive framing by which the use of big data in education has come to seem normal. The authors looked at the public discourse of eight major vendors of educational platforms that use big data (including Macmillan, Pearson, Knewton and Blackboard). They found that ‘the most fundamental move in today’s dominant commercial discourse is to promote the idea that data and its growth are natural’. In this way, ‘software systems, not teachers, [are] central to education’. Yu and Couldry’s main interest is in the way that discourse shapes the normalization of dataveillance, but, in a more general sense, the phrase, ‘the new normal’, is contributing to the normalization of digital education. If you think that’s fine, I suggest you dip into some of the books I listed in my last blog post.