Why teachers don’t know best

The blind leading the blind by  Pieter Bruegel the Elder, 1568It is not surprising that teachers get impatient when others tell them how to do their job: “we are the experts”, they complain, “not you”. What should surprise the rest of us is how wrong they are: most teachers know little about teaching as a technical discipline.

This post responds to a comment by someone nicknamed subminiature, who argued on the Radio Times website that teachers knew what they were doing and should just be left to get on with the job. In this lengthy response, I argue the opposite: through no fault of their own, teachers do not have the skill-set that is required to improve the chronic under-performance of our education service. This will only be achieved by the implementation of education technology, backed by sound pedagogy. It is not surprising that teachers are not technology-experts: what is surprising is that they are not experts in pedagogy either. Expecting teachers to lead the sort of transformative development that is required in education is about as sensible as expecting a group of horse-drawn carriage drivers to design the first steam engine. Yet that is precisely the assumption on which government policy has been based over the last 15 years. A policy based on teachers sharing ed-tech best practice is analogous to Breugel’s allegory of the blind leading the blind.

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Learning content customisation and adaptation

Custom car

A copy of a comment regarding the difference between customisation and adaptation, and the importance of the latter to learning content that encapsulates pedagogy.

It is a central argument of this blog that the attempt to apply technology to the improvement of education has been held back by the lack of education-specific software. Such software will generally encapsulate pedagogy. An objection to this approach was recently raised by Peter Twining in a useful discussion on his blog, EdFutures. It is a little difficult to link directly to the part of the conversation where this occurs – the best way is probably to follow the link to the discussion page and then to search for “Re Technology Enhanced Learning”, which is the title of the thread in which this discussion occurs.

To paraphrase the general objection to software that encapsulates pedagogy, such software might be seen as a way of scripting lessons that dis-empower the teacher. At the top level, I would respond that many teachers have a pretty shaky understanding of pedagogy, so the ability to put pedagogically proven tools into their hands is a key way in which we will empower (not dis-empower) teachers (see my Education’s coming revolution). As for the nature of those tools, I certainly accept that the way in which software is used in the classroom needs to be flexible, allowing the teacher (the professional on the spot) to apply the software in the right way. This provides the background to my conversation with Peter Twining regarding the customisation or adaptation of education-specific software.

Peter’s argument is that, according to an OU project in the 1990s called SoURCE, in which he was involved, the pedagogy encapsulated in software often needed to be subverted by the teacher—and that this suggested that the encapsulation of pedagogy was something of a blind alley. I copy below my reply to Peter, followed by my conclusion.

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Five principles of pedagogy

Teacher at blackboardPeople talk a lot about “pedagogy”—but what do they actually mean? In this post, I suggest five principles that might help clarify matters.

I have been meaning to write this post for a while, as a condensed conclusion from my long essays, Education’s coming revolution and In the beginning was the conversation. But the the spark that has persuaded me to get it down on paper was given to me by a Twitter conversation with Pete Bell, an ICT Examiner, who quoted J Bruner saying “Teaching is the canny art of intellectual temptation”. The argument of this post is that teaching is a lot more than that.

I propose the following five key principles of good pedagogy:

  • motivation;
  • exposition;
  • direction of activity;
  • criticism;
  • inviting imitation.

These principles may of course overlap and/or be sub-divided into sub-principles.

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Round-table with Ian Livingstone at Computing magazine

Round-table at Computing magazineWhy I disagree with Ian Livingstone (and why we should continue the discussion)

Last month I participated in a videoed round-table at Computing magazine’s offices in Soho, chaired by Peter Gothard. The panel included Ian Livingstone (the father of RPG games like Dungeons and Dragons and co-author of the Nesta NextGen report), Phil Bryant of OCR, and Joanna Poplawska of the Corporate IT Forum.

Part 2 of 3 of the conversation was published yesterday. Part 1 contains the panelists’ opening remarks and part 3 will address BYOD. It is this second part that contains the heart of the discussion.

I was a little taken aback, when I showed the video to my work colleagues yesterday, that they all complained that we were all far too polite to each other. “Where’s the passion?”, they complained. I assured them that this was not my normal reputation when discussing Learning Technology (indeed, I boasted, I had recently been threatened with legal action for defamation). But I can see what they meant. Maybe the shortness of the recording session and the unfamiliarity of the studio setting made us all a little stilted.

So, while there was much that the panel did agree on, I write this piece to highlight my disagreements with Ian Livingstone. They are generally disagreements of degree rather than of category—but they are significant nonetheless. When you add them together, they become pretty fundamental—and I would not want the importance of this disagreement to get lost in the civilities of the TV studio.

With all quotes coming from his first speech, I disagree with Ian…

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Computing in the National Curriculum

Michael Gove leaving a platform on the National CurriculumMy response to the Department for Education’s consultation on the draft National Curriculum

Following my previous posts on the review of the National Curriculum (Digital literacy and the new ICT curriculum and Good lord! Where’s the digital literacy?), I submitted the following response to the DfE’s consultation on the National Curriculum, with particular reference to Computing.

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Public sector productivity in education

Policy Exchange's digital government consultationA copy of my response to the public consultation by Policy Exchange on digital government

The think tank Policy Exchange has been running an online consultation on digital government (closing at midnight on Friday, 20 April). Most of the questions are about central government but question 4 is relevant to education technology: “How might modern tools and platforms help enhance public sector productivity?”

I am copying my answer, which provides a summary of the argument that I have developed on this blog.

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Managing progression in LAPland

Reindeer in the snow in LaplandWhy Learning Activity Platforms (LAPs) are required, if we are to make sense of sequencing and progression management.

My piece yesterday on the iTunes model of learning content makes two presuppositions:

  • that by “learning content”, everyone understands me to mean “learning activities” and not “expositive resources” – see What do we mean by “content”? if this distinction does not make sense to you;
  • that disaggregated learning content needs to be built up into coherent courses, programmes of study, or short activity sequences for a single lesson or homework—this is what has often been referred to as sequencing, though I think I prefer “progression management” as being more unambiguously applicable to activity rather than information.

This post continues to inform the conversation on Daniel Clark’s blog, about his post on Key issues on OER and how we might overcome them.

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In the beginning was the conversation

conversationThe most fundamental of all pedagogical patterns is the conversation—and it is this paradigm that needs to inform the implementation of education technology.

Grab a cup of coffee and get comfortable! At 12,000 words this is the longest of my posts so far. But right now, it seems as if it is my most important, so I think it will be worth the read.

In 2012, I have addressed what I see as deficiencies in many of the current ed-tech theories and processes. Last month, in Education’s coming revolution, I made the general argument that education technology provided the only plausible, long-term solution to what are endemic problems in our schools, introducing a systematic approach to education that contrasted with the model of teacher-as-craftsman.

This post describes what I think those systems will look like. They will be grounded in reputable educational theory, and in particular on what is the essential design paradigm for all learning: the conversation.

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The problem with “Technology Enhanced Learning”

Oscar Pistorius coming off the starting blocks, running on carbon fibre bladesNow that the use of the term “ICT” is coming under increasing scrutiny in the schools sector, many are making more use of the term “TEL” But “TEL” has similar flaws to “ICT”, as was brought home to me when attending the Online Educa Berlin conference last week.

Technology Enhanced Learning (TEL) has for some time been the preferred term for the academic community  when referring to the application of technology to the improvement education. It has been the title of various funding streams of the European Commission (such as TeLearn and TELNET. The only slightly different “Technology Supported Learning” appears in the strap-lines of conferences such as Online Educa Berlin (which I attended last week) and Learning Technologies, to be held in London in January.

This post makes the case that the HE “TEL” community has been just as ineffective as the schools-level “ICT” community at delivering real improvements in education—and that some of the key reasons for this failure are embedded in the terminology itself.

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Learning analytics for better learning content

A resume of a break-out discussion at the JISC/CETIS annual conference

For me, the highlight of the 2012 JISC/CETIS annual conference[1] was Adam Cooper’s session on “Mapping Cause and Effect”. Adam asked participants to create diagrams which traced chains of causality (both negative and positive) through to a final, desirable, pre-defined outcome.

I joined a break-out group with Colin Smythe (Chief Architect at IMS ), Tore Hoel (Oslo and Akershus University, Sweden), Malcolm Batchelor (JISC/CETIS), and Seyoung Kim (Carnegie Mellon University, USA). We chose to analyse what preconditions would favour or disfavour the use of analytics to improve the quality of course materials, taking course materials to be synonymous with learning content. We envisaged a scenario in which the author of a digital course might be able to track the performance of students taking the course. Having discovered from this data which parts of the course worked well and which worked less well, the author could improve the quality of the course materials.

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