Archive for May, 2020

I’ve long felt that the greatest value of technology in language learning is to facilitate interaction between learners, rather than interaction between learners and software. I can’t claim any originality here. Twenty years ago, Kern and Warschauer (2000) described ‘the changing nature of computer use in language teaching’, away from ‘grammar and vocabulary tutorials, drill and practice programs’, towards computer-mediated communication (CMC). This change has even been described as a paradigm shift (Ciftci & Kocoglu, 2012: 62), although I suspect that the shift has affected approaches to research much more than it has actual practices.

However, there is one application of CMC that is probably at least as widespread in actual practice as it is in the research literature: online peer feedback. Online peer feedback on writing, especially in the development of academic writing skills in higher education, is certainly very common. To a much lesser extent, online peer feedback on speaking (e.g. in audio and video blogs) has also been explored (see, for example, Yeh et al., 2019 and Rodríguez-González & Castañeda, 2018).

Peer feedback

Interest in feedback has spread widely since the publication of Hattie and Timperley’s influential ‘The Power of Feedback’, which argued that ‘feedback is one of the most powerful influences on learning and achievement’ (Hattie & Timperley, 2007: 81). Peer feedback, in particular, has generated much optimism in the general educational literature as a formative practice (Double et al., 2019) because of its potential to:

  • ‘promote a sense of ownership, personal responsibility, and motivation,
  • reduce assessee anxiety and improve acceptance of negative feedback,
  • increase variety and interest, activity and interactivity, identification and bonding, self-confidence, and empathy for others’ (Topping, 1988: 256)
  • improve academic performance (Double et al., 2019).

In the literature on language learning, this enthusiasm is mirrored and peer feedback is generally recommended by both methodologists and researchers (Burkert & Wally, 2013). The reasons given, in addition to those listed above, include the following:

  • it can benefit both the receiver and the giver of feedback (Storch & Aldossary, 2019: 124),
  • it requires the givers of feedback to listen to or read attentively the language of their peers, and, in the process, may provide opportunities for them to make improvements in their own speaking and writing (Alshuraidah & Storch, 2019: 166–167,
  • it can facilitate a move away from a teacher centred classroom, and promote independent learning (and the skill of self-correction) as well as critical thinking (Hyland & Hyland, 2019: 7),
  • the target reader is an important consideration in any piece of writing (it is often specified in formal assessment tasks). Peer feedback may be especially helpful in developing the idea of what audience the writer is writing for (Nation, 2009: 139),
  • many learners are very receptive to peer feedback (Biber et al., 2011: 54),
  • it can reduce a teacher’s workload.

The theoretical arguments in support of peer feedback are supported to some extent by research. A recent meta-analysis found ‘an overall small to medium effect of peer assessment on academic performance’ (Double et al., 2019) in general educational settings. In language learning, ‘recent research has provided generally positive evidence to support the use of peer feedback in L2 writing classes’ (Yu & Lee, 2016: 467). However, ‘firm causal evidence is as yet unavailable’ (Yu & Lee, 2016: 466).

Online peer feedback

Taking peer feedback online would seem to offer a number of advantages over traditional face-to-face oral or written channels. These include:

  • a significant reduction of the logistical burden (Double et al.: 2019) because there are fewer constraints of time and place (Ho, 2015: 1),
  • the possibility (with many platforms) of monitoring students’ interactions more closely (DiGiovanni & Nagaswami, 2001: 268),
  • the encouragement of ‘greater and more equal member participation than face-to-face feedback’ (Yu & Lee, 2016: 469),
  • the possibility of reducing learners’ anxiety (which may be greater in face-to-face settings and / or when an immediate response to feedback is required) (Yeh et al.: 2019: 1).

Given these potential advantages, it is disappointing to find that a meta-analysis of peer assessment in general educational contexts did not find any significant difference between online and offline feedback (Double et al.:2019). Similarly, in language learning contexts, Yu & Lee (2016: 469) report that ‘there is inconclusive evidence about the impact of computer-mediated peer feedback on the quality of peer comments and text revisions’. The rest of this article is an exploration of possible reasons why online peer feedback is not more effective than it is.

The challenges of online peer feedback

Peer feedback is usually of greatest value when it focuses on the content and organization of what has been expressed. Learners, however, have a tendency to focus on formal accuracy, rather than on the communicative success (or otherwise) of their peers’ writing or speaking. Training can go a long way towards remedying this situation (Yu & Lee, 2016: 472 – 473): indeed, ‘the importance of properly training students to provide adequately useful peer comments cannot be over-emphasized’ (Bailey & Cassidy, 2018: 82). In addition, clearly organised rubrics to guide the feedback giver, such as those offered by feedback platforms like Peergrade, may also help to steer feedback in appropriate directions. There are, however, caveats which I will come on to.

A bigger problem occurs when the interaction which takes places when learners are supposedly engaged in peer feedback is completely off-task. In one analysis of students’ online discourse in two writing tasks, ‘meaning negotiation, error correction, and technical actions seldom occurred and […] social talk, task management, and content discussion predominated the chat’ (Liang, 2010: 45). One proposed solution to this is to grade peer comments: ‘reviewers will be more motivated to spend time in their peer review process if they know that their instructors will assess or even grade their comments’ (Choi, 2014: 225). Whilst this may sometimes be an effective strategy, the curtailment of social chat may actually create more problems than it solves, as we will see later.

Other challenges of peer feedback may be even less amenable to solutions. The most common problem concerns learners’ attitudes towards peer feedback: some learners are not receptive to feedback from their peers, preferring feedback from their teachers (Maas, 2017), and some learners may be reluctant to offer peer feedback for fear of giving offence. Attitudinal issues may derive from personal or cultural factors, or a combination of both. Whatever the cause, ‘interpersonal variables play a substantial role in determining the type and quality of peer assessment’ (Double et al., 2019). One proposed solution to this is to anonymise the peer feedback process, since it might be thought that this would lead to greater honesty and fewer concerns about loss of face. Research into this possibility, however, offers only very limited support: two studies out of three found little benefit of anonymity (Double et al., 2019). What is more, as with the curtailment of social chat, the practice must limit the development of the interpersonal relationship, and therefore positive pair / group dynamics (Liang, 2010: 45), that is necessary for effective collaborative work.

Towards solutions?

Online peer feedback is a form of computer-supported collaborative learning (CSCL), and it is to research in this broader field that I will now turn. The claim that CSCL ‘can facilitate group processes and group dynamics in ways that may not be achievable in face-to-face collaboration’ (Dooly, 2007: 64) is not contentious, but, in order for this to happen, a number of ‘motivational or affective perceptions are important preconditions’ (Chen et al., 2018: 801). Collaborative learning presupposes a collaborative pattern of peer interaction, as opposed to expert-novice, dominant- dominant, dominant-passive, or passive-passive patterns (Yu & Lee, 2016: 475).

Simply putting students together into pairs or groups does not guarantee collaboration. Collaboration is less likely to take place when instructional management focusses primarily on cognitive processes, and ‘socio-emotional processes are ignored, neglected or forgotten […] Social interaction is equally important for affiliation, impression formation, building social relationships and, ultimately, the development of a healthy community of learning’ (Kreijns et al., 2003: 336, 348 – 9). This can happen in all contexts, but in online environments, the problem becomes ‘more salient and critical’ (Kreijns et al., 2003: 336). This is why the curtailment of social chat, the grading of peer comments, and the provision of tight rubrics may be problematic.

There is no ‘single learning tool or strategy’ that can be deployed to address the challenges of online peer feedback and CSCL more generally (Chen et al., 2018: 833). In some cases, for personal or cultural reasons, peer feedback may simply not be a sensible option. In others, where effective online peer feedback is a reasonable target, the instructional approach must find ways to train students in the specifics of giving feedback on a peer’s work, to promote mutual support, to show how to work effectively with others, and to develop the language skills needed to do this (assuming that the target language is the language that will be used in the feedback).

So, what can we learn from looking at online peer feedback? I think it’s the same old answer: technology may confer a certain number of potential advantages, but, unfortunately, it cannot provide a ‘solution’ to complex learning issues.

 

Note: Some parts of this article first appeared in Kerr, P. (2020). Giving feedback to language learners. Part of the Cambridge Papers in ELT Series. Cambridge: Cambridge University Press. Available at: https://www.cambridge.org/gb/files/4415/8594/0876/Giving_Feedback_minipaper_ONLINE.pdf

 

References

Alshuraidah, A. and Storch, N. (2019). Investigating a collaborative approach to feedback. ELT Journal, 73 (2), pp. 166–174

Bailey, D. and Cassidy, R. (2018). Online Peer Feedback Tasks: Training for Improved L2 Writing Proficiency, Anxiety Reduction, and Language Learning Strategies. CALL-EJ, 20(2), pp. 70-88

Biber, D., Nekrasova, T., and Horn, B. (2011). The Effectiveness of Feedback for L1-English and L2-Writing Development: A Meta-Analysis, TOEFL iBT RR-11-05. Princeton: Educational Testing Service. Available at: https://www.ets.org/Media/Research/pdf/RR-11-05.pdf

Burkert, A. and Wally, J. (2013). Peer-reviewing in a collaborative teaching and learning environment. In Reitbauer, M., Campbell, N., Mercer, S., Schumm Fauster, J. and Vaupetitsch, R. (Eds.) Feedback Matters. Frankfurt am Main: Peter Lang, pp. 69–85

Chen, J., Wang, M., Kirschner, P.A. and Tsai, C.C. (2018). The role of collaboration, computer use, learning environments, and supporting strategies in CSCL: A meta-analysis. Review of Educational Research, 88 (6) (2018), pp. 799-843

Choi, J. (2014). Online Peer Discourse in a Writing Classroom. International Journal of Teaching and Learning in Higher Education, 26 (2): pp. 217 – 231

Ciftci, H. and Kocoglu, Z. (2012). Effects of Peer E-Feedback on Turkish EFL Students’ Writing Performance. Journal of Educational Computing Research, 46 (1), pp. 61 – 84

DiGiovanni, E. and Nagaswami. G. (2001). Online peer review: an alternative to face-to-face? ELT Journal 55 (3), pp. 263 – 272

Dooly, M. (2007). Joining forces: Promoting metalinguistic awareness through computer-supported collaborative learning. Language Awareness, 16 (1), pp. 57-74

Double, K.S., McGrane, J.A. and Hopfenbeck, T.N. (2019). The Impact of Peer Assessment on Academic Performance: A Meta-analysis of Control Group Studies. Educational Psychology Review (2019)

Hattie, J. and Timperley, H. (2007). The Power of Feedback. Review of Educational Research, 77(1), pp. 81–112

Ho, M. (2015). The effects of face-to-face and computer-mediated peer review on EFL writers’ comments and revisions. Australasian Journal of Educational Technology, 2015, 31(1)

Hyland K. and Hyland, F. (2019). Contexts and issues in feedback on L2 writing. In Hyland K. & Hyland, F. (Eds.) Feedback in Second Language Writing. Cambridge: Cambridge University Press, pp. 1–22

Kern, R. and Warschauer, M. (2000). Theory and practice of network-based language teaching. In M. Warschauer and R. Kern (eds) Network-Based Language Teaching: Concepts and Practice. New York: Cambridge University Press. pp. 1 – 19

Kreijns, K., Kirschner, P. A. and Jochems, W. (2003). Identifying the pitfalls for social interaction in computer-supported collaborative learning environments: a review of the research. Computers in Human Behavior, 19(3), pp. 335-353

Liang, M. (2010). Using Synchronous Online Peer Response Groups in EFL Writing: Revision-Related Discourse. Language Learning and Technology, 14 (1), pp. 45 – 64

Maas, C. (2017). Receptivity to learner-driven feedback. ELT Journal, 71 (2), pp. 127–140

Nation, I. S. P. (2009). Teaching ESL / EFL Reading and Writing. New York: Routledge

Panadero, E. and Alqassab, M. (2019). An empirical review of anonymity effects in peer assessment, peer feedback, peer review, peer evaluation and peer grading. Assessment & Evaluation in Higher Education, 1–26

Rodríguez-González, E. and Castañeda, M. E. (2018). The effects and perceptions of trained peer feedback in L2 speaking: impact on revision and speaking quality, Innovation in Language Learning and Teaching, 12 (2), pp. 120-136, DOI: 10.1080/17501229.2015.1108978

Storch, N. and Aldossary, K. (2019). Peer Feedback: An activity theory perspective on givers’ and receivers’ stances. In Sato, M. and Loewen, S. (Eds.) Evidence-based Second Language Pedagogy. New York: Routledge, pp. 123–144

Topping, K. (1998). Peer assessment between students in colleges and universities. Review of Educational Research, 68 (3), pp. 249-276.

Yeh, H.-C., Tseng, S.-S., and Chen, Y.-S. (2019). Using Online Peer Feedback through Blogs to Promote Speaking Performance. Educational Technology & Society, 22 (1), pp. 1–14

Yu, S. and Lee, I. (2016). Peer feedback in second language writing (2005 – 2014). Language Teaching, 49 (4), pp. 461 – 493

If you cast your eye over the English language teaching landscape, you can’t help noticing a number of prominent features that weren’t there, or at least were much less visible, twenty years ago. I’d like to highlight three. First, there is the interest in life skills (aka 21st century skills). Second, there is the use of digital technology to deliver content. And third, there is a concern with measuring educational outputs through frameworks such as the Pearson GSE. In this post, I will focus primarily on the last of these, with a closer look at measuring teacher performance.

Recent years have seen the development of a number of frameworks for evaluating teacher competence in ELT. These include

TESOL has also produced a set of guidelines for developing professional teaching standards for EFL.

Frameworks such as these were not always intended as tools to evaluate teachers. The British Council’s framework, for example, was apparently designed for teachers to understand and plan their own professional development. Similarly, the Cambridge framework says that it is for teachers to see where they are in their development – and think about where they want to go next. But much like the CEFR for language competence, frameworks can be used for purposes rather different from their designers’ intentions. I think it is likely that frameworks such as these are more often used to evaluate teachers than for teachers to evaluate themselves.

But where did the idea for such frameworks come from? Was there a suddenly perceived need for things like this to aid in self-directed professional development? Were teachers’ associations calling out for frameworks to help their members? Even if that were the case, it would still be useful to know why, and why now.

One possibility is that the interest in life skills, digital technology and the measurement of educational outputs have all come about as a result of what has been called the Global Educational Reform Movement, or GERM (Sahlberg, 2016). GERM dates back to the 1980s and the shifts (especially in the United States under Reagan and the United Kingdom under Thatcher) in education policy towards more market-led approaches which emphasize (1) greater competition between educational providers, (2) greater autonomy from the state for educational providers (and therefore a greater role for private suppliers), (3) greater choice of educational provider for students and their parents, and (4) standardized tests and measurements which allow consumers of education to make more informed choices. One of the most significant GERM vectors is the World Bank.

The interest in incorporating the so-called 21st century skills as part of the curriculum can be traced back to the early 1980s when the US National Commission on Excellence in Education recommended the inclusion of a range of skills, which eventually crystallized into the four Cs of communication, collaboration, critical thinking and creativity. The labelling of this skill set as ‘life skills’ or ‘21st century skills’ was always something of a misnomer: the reality was that these were the soft skills required by the world of work. The key argument for their inclusion in the curriculum was that they were necessary for the ‘competitiveness and wealth of corporations and countries’ (Trilling & Fadel, 2009: 7). Unsurprisingly, the World Bank, whose interest in education extends only so far as its economic value, embraced the notion of ‘life skills’ with enthusiasm. Its document ‘Life skills : what are they, why do they matter, and how are they taught?’ (World Bank, 2013), makes the case very clearly. It took a while for the world of English language teaching to get on board, but by 2012, Pearson was already sponsoring a ‘signature event’ at IATEFL Glasgow entitled ‘21st Century Skills for ELT’. Since then, the currency of ‘life skills’ as an ELT buzz phrase has not abated.

Just as the World Bank’s interest in ‘life skills’ is motivated by the perceived need to prepare students for the world of work (for participation in the ‘knowledge economy’), the Bank emphasizes the classroom use of computers and resources from the internet: Information and communication technology (ICT) allows the adaptation of globally available information to local learning situations. […] A large percentage of the World Bank’s education funds are used for the purchase of educational technology. […] According to the Bank’s figures, 40 per cent of their education budget in 2000 and 27 per cent in 2001 was used to purchase technology. (Spring, 2015: 50).

Digital technology is also central to capturing data, which will allow for the measurement of educational outputs. As befits an organisation of economists that is interested in the cost-effectiveness of investments into education, it accords enormous importance to what are thought to be empirical measures or accountability. So intrinsic to the Bank’s approach is this concern with measurement that ‘the Bank’s implicit message to national governments seems to be: ‘improve your data collection capacity so that we can run more reliable cross-country analysis and regressions’. (Verger & Bonal, 2012: 131).

Measuring the performance of teachers is, of course, a part of assessing educational outputs. The World Bank, which sees global education as fundamentally ‘broken’, has, quite recently, turned more of its attention to the role of teachers. A World Bank blog from 2019 explains the reasons:

A growing body of evidence suggests the learning crisis is, at its core, a teaching crisis. For students to learn, they need good teachers—but many education systems pay little attention to what teachers know, what they do in the classroom, and in some cases whether they even show up. Rapid technological change is raising the stakes. Technology is already playing a crucial role in providing support to teachers, students, and the learning process more broadly. It can help teachers better manage the classroom and offer different challenges to different students. And technology can allow principals, parents, and students to interact seamlessly.

A key plank in the World Banks’s attempts to implement its educational vision is its System Assessment and Benchmarking for Education Results (SABER), which I will return to in due course. As part of its SABER efforts, last year the World Bank launched its ‘Teach’ tool . This tool is basically an evaluation framework. Videos of lessons are recorded and coded for indicators of teacher efficiency by coders who can be ‘90% reliable’ after only four days of training. The coding system focuses on the time that students spend on-task, but also ‘life skills’ like collaboration and critical thinking (see below).

Teach framework

Like the ELT frameworks, it can be used as a professional development tool, but, like them, it may also be used for summative evaluation.

The connections between those landmarks on the ELT landscape and the concerns of the World Bank are not, I would suggest, coincidental. The World Bank is, of course, not the only player in GERM, but it is a very special case. It is the largest single source of external financing in ‘developing countries’ (Beech, 2009: 345), managing a portfolio of $8.9 billion, with operations in 70 countries as of August 2013 (Spring, 2015: 32). Its loans come attached with conditions which tie the borrowing countries to GERM objectives. Arguably of even greater importance than its influence through funding, is the Bank’s direct entry into the world of ideas:

The Bank yearns for a deeper and more comprehensive impact through avenues of influence transcending both project and program loans. Not least in education, the World Bank is investing much in its quest to shape global opinion about economic, developmental, and social policy. Rather than imposing views through specific loan negotiations, Bank style is broadening in attempts to lead borrower country officials to its preferred way of thinking. (Jones, 2007: 259).

The World Bank sees itself as a Knowledge Bank and acts accordingly. Rizvi and Lingard (2010: 48) observe that ‘in many nations of the Global South, the only extant education policy analysis is research commissioned by donor agencies such as the World Bank […] with all the implications that result in relation to problem setting, theoretical frameworks and methodologies’. Hundreds of academics are engaged to do research related to the Bank’s areas of educational interest, and ‘the close links with the academic world give a strong credibility to the ideas disseminated by the Bank […] In fact, many ideas that acquired currency and legitimacy were originally proposed by them. This is the case of testing students and using the results to evaluate progress in education’ (Castro, 2009: 472).

Through a combination of substantial financial clout and relentless marketing (Selwyn, 2013: 50), the Bank has succeeded in shaping global academic discourse. In partnership with similar institutions, it has introduced a way of classifying and thinking about education (Beech, 2009: 352). It has become, in short, a major site ‘for the organization of knowledge about education’ (Rizvi & Lingard, 2010: 79), wielding ‘a degree of power that has arguably enabled it to shape the educational agendas of nations throughout the Global South’ and beyond (Menashy, 2012).

So, is there any problem in the world of ELT taking up the inclusion of ‘life skills’? I think there is. The first is one of definition. Creativity and critical thinking are very poorly defined, meaning very different things to different people, so it is not always clear what is being taught. Following on from this, there is substantial debate about whether such skills can actually be taught at all, and, if they can, how they should be taught. It seems highly unlikely that the tokenistic way in which they are ‘taught’ in most published ELT courses can be of any positive impact. But this is not my main reservation, which is that, by and large, we have come to uncritically accept the idea that English language learning is mostly concerned with preparation for the workplace (see my earlier post ‘The EdTech Imaginary in ELT’).

Is there any problem with the promotion of digital technologies in ELT? Again, I think there is, and a good proportion of the posts on this blog have argued for the need for circumspection in rolling out more technology in language learning and teaching. My main reason is that while it is clear that this trend is beneficial to technology vendors, it is much less clear that advantages will necessarily accrue to learners. Beyond this, there must be serious concerns about data ownership, privacy, and the way in which the datafication of education, led by businesses and governments in the Global North, is changing what counts as good education, a good student or an effective teacher, especially in the Global South. ‘Data and metrics,’ observe Williamson et al. (2020: 353), ‘do not just reflect what they are designed to measure, but actively loop back into action that can change the very thing that was measured in the first place’.

And what about tools for evaluating teacher competences? Here I would like to provide a little more background. There is, first of all, a huge question mark about how accurately such tools measure what they are supposed to measure. This may not matter too much if the tool is only used for self-evaluation or self-development, but ‘once smart systems of data collection and social control are available, they are likely to be widely applied for other purposes’ (Sadowski, 2020: 138). Jaime Saavedra, head of education at the World Bank, insists that the World Bank’s ‘Teach’ tool is not for evaluation and is not useful for firing teachers who perform badly.

Saavedra needs teachers to buy into the tool, so he obviously doesn’t want to scare them off. However, ‘Teach’ clearly is an evaluation tool (if not, what is it?) and, as with other tools (I’m thinking of CEFR and teacher competency frameworks in ELT), its purposes will evolve. Eric Hanushek, an education economist at Stanford University, has commented that ‘this is a clear evaluation tool at the probationary stage … It provides a basis for counseling new teachers on how they should behave … but then again if they don’t change over the first few years you also have information you should use.

At this point, it is useful to take a look at the World Bank’s attitudes towards teachers. Teachers are seen to be at the heart of the ‘learning crisis’. However, the greatest focus in World Bank documents is on (1) teacher absenteeism in some countries, (2) unskilled and demotivated teachers, and (3) the reluctance of teachers and their unions to back World Bank-sponsored reforms. As real as these problems are, it is important to understand that the Bank has been complicit in them:

For decades, the Bank has criticised pre-service and in-service teacher training as not cost-effective For decades, the Bank has been pushing the hiring of untrained contract teachers as a cheap fix and a way to get around teacher unions – and contract teachers are again praised in the World Bank Development Report (WDR). This contradicts the occasional places in the WDR in which the Bank argues that developing countries need to follow the lead of the few countries that attract the best students to teaching, improve training, and improve working conditions. There is no explicit evidence offered at all for the repeated claim that teachers are unmotivated and need to be controlled and monitored to do their job. The Bank has a long history of blaming teachers and teacher unions for educational failures. The Bank implicitly argues that the problem of teacher absenteeism, referred to throughout the report, means teachers are unmotivated, but that simply is not true. Teacher absenteeism is not a sign of low motivation. Teacher salaries are abysmally low, as is the status of teaching. Because of this, teaching in many countries has become an occupation of last resort, yet it still attracts dedicated teachers. Once again, the Bank has been very complicit in this state of affairs as it, and the IMF, for decades have enforced neoliberal, Washington Consensus policies which resulted in government cutbacks and declining real salaries for teachers around the world. It is incredible that economists at the Bank do not recognise that the deterioration of salaries is the major cause of teacher absenteeism and that all the Bank is willing to peddle are ineffective and insulting pay-for-performance schemes. (Klees, 2017).

The SABER framework (referred to above) focuses very clearly on policies for hiring, rewarding and firing teachers.

[The World Bank] places the private sector’s methods of dealing with teachers as better than those of the public sector, because it is more ‘flexible’. In other words, it is possible to say that teachers can be hired and fired more easily; that is, hired without the need of organizing a public competition and fired if they do not achieve the expected outcomes as, for example, students’ improvements in international test scores. Further, the SABER document states that ‘Flexibility in teacher contracting is one of the primary motivations for engaging the private sector’ (World Bank, 2011: 4). This affirmation seeks to reduce expenditures on teachers while fostering other expenses such as the creation of testing schemes and spending more on ICTs, as well as making room to expand the hiring of private sector providers to design curriculum, evaluate students, train teachers, produce education software, and books. (De Siqueira, 2012).

The World Bank has argued consistently for a reduction of education costs by driving down teachers’ salaries. One of the authors of the World Bank Development Report 2018 notes that ‘in most countries, teacher salaries consume the lion’s share of the education budget, so there are already fewer resources to implement other education programs’. Another World Bank report (2007) makes the importance of ‘flexible’ hiring and lower salaries very clear:

In particular, recent progress in primary education in Francophone countries resulted from reduced teacher costs, especially through the recruitment of contractual teachers, generally at about 50% the salary of civil service teachers. (cited in Compton & Weiner, 2008: 7).

Merit pay (or ‘pay for performance’) is another of the Bank’s preferred wheezes. Despite enormous problems in reaching fair evaluations of teachers’ work and a distinct lack of convincing evidence that merit pay leads to anything positive (and may actually be counter-productive) (De Bruyckere et al., 2018: 143 – 147), the Bank is fully committed to the idea. Perhaps this is connected to the usefulness of merit pay in keeping teachers on their toes, compliant and fearful of losing their jobs, rather than any desire to improve teacher effectiveness?

There is evidence that this may be the case. Yet another World Bank report (Bau & Das, 2017) argues, on the basis of research, that improved TVA (teacher value added) does not correlate with wages in the public sector (where it is hard to fire teachers), but it does in the private sector. The study found that ‘a policy change that shifted public hiring from permanent to temporary contracts, reducing wages by 35 percent, had no adverse impact on TVA’. All of which would seem to suggest that improving the quality of teaching is of less importance to the Bank than flexible hiring and firing. This is very much in line with a more general advocacy of making education fit for the world of work. Lois Weiner of New Jersey City University puts it like this:

The architects of [GERM] policies—imposed first in developing countries—openly state that the changes will make education better fit the new global economy by producing workers who are (minimally) educated for jobs that require no more than a 7th or 8th grade education; while a small fraction of the population receive a high quality education to become the elite who oversee finance, industry, and technology. Since most workers do not need to be highly educated, it follows that teachers with considerable formal education and experience are neither needed nor desired because they demand higher wages, which is considered a waste of government money. Most teachers need only be “good enough”—as one U.S. government official phrased it—to follow scripted materials that prepare students for standardized tests. (Weiner, 2012).

It seems impossible to separate the World Bank’s ‘Teach’ tool from the broader goals of GERM. Teacher evaluation tools, like the teaching of 21st century skills and the datafication of education, need to be understood properly, I think, as means to an end. It’s time to spell out what that end is.

The World Bank’s mission is ‘to end extreme poverty (by reducing the share of the global population that lives in extreme poverty to 3 percent by 2030)’ and ‘to promote shared prosperity (by increasing the incomes of the poorest 40 percent of people in every country)’. Its education activities are part of this broad aim and are driven by subscription to human capital theory (a view of the skills, knowledge and experience of individuals in terms of their ability to produce economic value). This may be described as the ‘economization of education’: a shift in educational concerns away from ‘such things as civic participation, protecting human rights, and environmentalism to economic growth and employment’ (Spring, 2015: xiii). Both students and teachers are seen as human capital. For students, human capital education places an emphasis on the cognitive skills needed to succeed in the workplace and the ‘soft skills’, needed to function in the corporate world (Spring, 2015: 2). Accordingly, World Bank investments require ‘justifications on the basis of manpower demands’ (Heyneman, 2003: 317). One of the Bank’s current strategic priorities is the education of girls: although human rights and equity may also play a part, the Bank’s primary concern is that ‘Not Educating Girls Costs Countries Trillions of Dollars’ .

According to the Bank’s logic, its educational aims can best be achieved through a combination of support for the following:

  • cost accounting and quantification (since returns on investment must be carefully measured)
  • competition and market incentives (since it is believed that the ‘invisible hand’ of the market leads to the greatest benefits)
  • the private sector in education and a rolling back of the role of the state (since it is believed that private ownership improves efficiency)

The package of measures is a straightforward reflection of ‘what Western mainstream economists believe’ (Castro, 2009: 474).

Mainstream Western economics is, however, going through something of a rocky patch right now. Human capital theory is ‘useful when prevailing conditions are right’ (Jones, 2007: 248), but prevailing conditions are not right in much of the world (even in the United States), and the theory ‘for the most part ignores the intersections of poverty, equity and education’ (Menashy, 2012). In poorer countries evidence for the positive effects of markets in education is in very short supply, and even in richer countries it is still not conclusive (Verger & Bonal, 2012: 135). An OECD Education Paper (Waslander et al., 2010: 64) found that the effects of choice and competition between schools were at best small, if indeed any effects were found at all. Similarly, the claim that privatization improves efficiency is not sufficiently supported by evidence. Analyses of PISA data would seem to indicate that, ‘all else being equal (especially when controlling for the socio-economic status of the students), the type of ownership of the school, whether it is a private or a state school, has only modest effects on student achievement or none at all’ (Verger & Bonal, 2012: 133). Educational privatization as a one-size-fits-all panacea to educational problems has little to recommend it.

There are, then, serious limitations in the Bank’s theoretical approach. Its practical track record is also less than illustrious, even by the Bank’s own reckoning. Many of the Bank’s interventions have proved very ‘costly to developing countries. At the Bank’s insistence countries over-invested in vocational and technical education. Because of the narrow definition of recurrent costs, countries ignored investments in reading materials and in maintaining teacher salaries. Later at the Bank’s insistence, countries invested in thousands of workshops and laboratories that, for the most part, became useless ‘white elephants’ (Heyneman, 2003: 333).

As a bank, the World Bank is naturally interested in the rate of return of investment in that capital, and is therefore concerned with efficiency and efficacy. This raises the question of ‘Effective for what?’ and given that what may be effective for one individual or group may not necessarily be effective for another individual or group, one may wish to add a second question: ‘Effective for whom?’ (Biesta, 2020: 31). Critics of the World Bank, of whom there are many, argue that its policies serve ‘the interests of corporations by keeping down wages for skilled workers, cause global brain migration to the detriment of developing countries, undermine local cultures, and ensure corporate domination by not preparing school graduates who think critically and are democratically oriented’ (Spring, 2015: 56). Lest this sound a bit harsh, we can turn to the Bank’s own commissioned history: ‘The way in which [the Bank’s] ideology has been shaped conforms in significant degree to the interests and conventional wisdom of its principal stockholders [i.e. bankers and economists from wealthy nations]. International competitive bidding, reluctance to accord preferences to local suppliers, emphasis on financing foreign exchange costs, insistence on a predominant use of foreign consultants, attitudes toward public sector industries, assertion of the right to approve project managers – all proclaim the Bank to be a Western capitalist institution’ (Mason & Asher, 1973: 478 – 479).

The teaching of ‘life skills’, the promotion of data-capturing digital technologies and the push to evaluate teachers’ performance are, then, all closely linked to the agenda of the World Bank, and owe their existence in the ELT landscape, in no small part, to the way that the World Bank has shaped educational discourse. There is, however, one other connection between ELT and the World Bank which must be mentioned.

The World Bank’s foreign language instructional goals are directly related to English as a global language. The Bank urges, ‘Policymakers in developing countries …to ensure that young people acquire a language with more than just local use, preferably one used internationally.’ What is this international language? First, the World Bank mentions that schools of higher education around the world are offering courses in English. In addition, the Bank states, ‘People seeking access to international stores of knowledge through the internet require, principally, English language skills.’ (Spring, 2015: 48).

Without the World Bank, then, there might be a lot less English language teaching than there is. I have written this piece to encourage people to think more about the World Bank, its policies and particular instantiations of those policies. You might or might not agree that the Bank is an undemocratic, technocratic, neoliberal institution unfit for the necessities of today’s world (Klees, 2017). But whatever you think about the World Bank, you might like to consider the answers to Tony Benn’s ‘five little democratic questions’ (quoted in Sardowski, 2020: 17):

  • What power has it got?
  • Where did it get this power from?
  • In whose interests does it exercise this power?
  • To whom is it accountable?
  • How can we get rid of it?

References

Bau, N. and Das, J. (2017). The Misallocation of Pay and Productivity in the Public Sector : Evidence from the Labor Market for Teachers. Policy Research Working Paper; No. 8050. World Bank, Washington, DC. Retrieved [18 May 2020] from https://openknowledge.worldbank.org/handle/10986/26502

Beech, J. (2009). Who is Strolling Through The Global Garden? International Agencies and Educational Transfer. In Cowen, R. and Kazamias, A. M. (Eds.) Second International Handbook of Comparative Education. Dordrecht: Springer. pp. 341 – 358

Biesta, G. (2020). Educational Research. London: Bloomsbury.

Castro, C. De M., (2009). Can Multilateral Banks Educate The World? In Cowen, R. and Kazamias, A. M. (Eds.) Second International Handbook of Comparative Education. Dordrecht: Springer. pp. 455 – 478

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

De Bruyckere, P., Kirschner, P.A. and Hulshof, C. (2020). More Urban Myths about Learning and Education. New York: Routledge.

De Siqueira, A. C. (2012). The 2020 World Bank Education Strategy: Nothing New, or the Same Old Gospel. In Klees, S. J., Samoff, J. and Stromquist, N. P. (Eds.) The World Bank and Education. Rotterdam: Sense Publishers. pp. 69 – 81

Heyneman, S.P. (2003). The history and problems in the making of education policy at the World Bank 1960–2000. International Journal of Educational Development 23 (2003) pp. 315–337. Retrieved [18 May 2020] from https://www.academia.edu/29593153/The_History_and_Problems_in_the_Making_of_Education_Policy_at_the_World_Bank_1960_2000

Jones, P. W. (2007). World Bank Financing of Education. 2nd edition. Abingdon, Oxon.: Routledge.

Klees, S. (2017). A critical analysis of the World Bank’s World Development Report on education. Retrieved [18 May 2020] from: https://www.brettonwoodsproject.org/2017/11/critical-analysis-world-banks-world-development-report-education/

Mason, E. S. & Asher, R. E. (1973). The World Bank since Bretton Woods. Washington, DC: Brookings Institution.

Menashy, F. (2012). Review of Klees, S J., Samoff, J. & Stromquist, N. P. (Eds) (2012). The World Bank and Education: Critiques and Alternatives .Rotterdam: Sense Publishers. Education Review, 15. Retrieved [18 May 2020] from https://www.academia.edu/7672656/Review_of_The_World_Bank_and_Education_Critiques_and_Alternatives

Rizvi, F. & Lingard, B. (2010). Globalizing Education Policy. Abingdon, Oxon.: Routledge.

Sadowski, J. (2020). Too Smart. Cambridge, MA.: MIT Press.

Sahlberg, P. (2016). The global educational reform movement and its impact on schooling. In K. Mundy, A. Green, R. Lingard, & A. Verger (Eds.), The handbook of global policy and policymaking in education. New York, NY: Wiley-Blackwell. pp.128 – 144

Selwyn, N. (2013). Education in a Digital World. New York: Routledge.

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

Trilling, B. & C. Fadel (2009). 21st Century Skills. San Francisco: Wiley

Verger, A. & Bonal, X. (2012). ‘All Things Being Equal?’ In Klees, S. J., Samoff, J. and Stromquist, N. P. (Eds.) The World Bank and Education. Rotterdam: Sense Publishers. pp. 69 – 81

Waslander, S., Pater, C. & van der Weide, M. (2010). Markets in Education: An analytical review of empirical research on market mechanisms in education. OECD EDU Working Paper 52.

Weiner, L. (2012). Social Movement Unionism: Teachers Can Lead the Way. Reimagine, 19 (2) Retrieved [18 May 2020] from: https://www.reimaginerpe.org/19-2/weiner-fletcher

Williamson, B., Bayne, S. & Shay, S. (2020). The datafication of teaching in Higher Education: critical issues and perspectives, Teaching in Higher Education, 25:4, 351-365, DOI: 10.1080/13562517.2020.1748811

World Bank. (2013). Life skills : what are they, why do they matter, and how are they taught? (English). Adolescent Girls Initiative (AGI) learning from practice series. Washington DC ; World Bank. Retrieved [18 May 2020] from: http://documents.worldbank.org/curated/en/569931468331784110/Life-skills-what-are-they-why-do-they-matter-and-how-are-they-taught