Research, Writing, and Creative Process in Open and Distance Education: Tales from the Field | Open Book Publishers

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Research, Writing, and Creative Process in Open and Distance Education: Tales from the Field is a great new book about how researchers in the field of open, online, and distance education go about writing and/or their advice to newcomers in the field. More than that, it is about the process of writing in general, containing stories, recommendations, methods, tricks, and principles that pretty much anyone who writes, from students to experienced authors, would find useful and interesting. It is published as an open book (with a very open CC-BY-NC licence) that is free to read or download as well as to purchase in paper form.

OK, full disclosure, I am a bit biased. I have a chapter in it, and many of the rest are by friends and aquaintances. The editor and author of one of the chapters is Dianne Conrad, the foreword is by Terry Anderson, and the list of authors includes some of the most luminous, widely cited names in the field, with a wealth of experience and many thousands of publications between them. The full list includes David Starr-Glass, Pamela Ryan,  Junhong Xiao, Jennifer Roberts, Aras Bozkurt, Catherine Cronin, Randy Garrison, Tony Bates, Mark Nichols, Marguerite Koole (with Michael Cottrell, Janet Okoko & Kristine Dreaver-Charles), and Paul Prinsloo.

Apart from being a really good idea that fills a really important gap in the market, what I love most about the book is the diversity of the chapters. There’s everything from practical advice on how to structure an effective paper, to meandering reflective streams of consciousness that read like poetry, to academic discussions of identity and culture. It contains a lot of great stories that present a rich variety of approaches and processes, offering far from uniform suggestions about how best to write or why it is worth doing in the first place. Though the contributors are all researchers in the field of open and distance learning, nearly all of us started out on very different career paths, so we come at it with a wide range of disciplinary, epistemological and stylistic frameworks. Dianne has done a great job of weaving all of these different perspectives together into a coherent tapestry, not just a simple collection of essays.

The diversity is also a direct result of the instructions Dianne sent with the original proposal, which provides a pretty good description of the general approach and content that you will find in the book:

I am asking colleagues, as researchers, scholars, teachers, and writers in our field (ODL), to reflect on and write about your research/writing process, including topics such as:

  *   Your background and training as a scholar

  *   Your scholarly interests

  *   Why you research/write

  *   How you research/write

  *   What philosophies guide your work?

  *   Conflicts?  Barriers?

  *   Mentors, opportunities

  *   Reflections, insights, sorrows

  *   Advice, takeaways

  *   Anything else you feel is relevant

The “personal stuff,” as listed above, should serve as jump-off points to scholarly issues; that is, this isn’t intended to be a memoir or even a full-on reflective. Use the opportunity to reflect on your own work as a lead-in/up to the scholarly issues you want to address/promote/explore.

The aim of the book is to inform hesitant scholars, new scholars, and fledgling/nervous writers of our time-tested processes; and to spread awareness of the behind-the-curtain work involved in publishing and “being heard.”

My own chapter (Chapter 3, On being written) starts with rather a lot of sailing metaphors that tack around the ways that writing participates in my cognition and connects us, moves back to the land with a slight clunk and some geeky practical advice about my approach to notetaking and the roles of the tools that I use for the purpose, thence saunters on to the value of academic blogging and how I feel about it, and finally to a conclusion that frames the rest in something akin to a broader theory of complexity and cognition. All of it draws heavily from themes and theories explored in my recently published (also open) book, How Education Works: Teaching, Technology, and Technique. For all the stretched metaphors, meandering sidetracks, and clunky continuity I’m quite pleased with how it came out.

Most of the other chapters are better structured and organized, and most have more direct advice on the process (from start to finish), but they all tell rich, personal, and enlightening stories that are fascinating to read, especially if you know the people writing them or are familiar with their work. However, while the context, framing, and some of the advice is specific to the field of open and distance learning, the vast majority of lessons and advice are about academic writing in general. Whatever field you identify with, if you ever have to write anything then there’s probably something in it for you.

Originally posted at: https://landing.athabascau.ca/bookmarks/view/19868519/research-writing-and-creative-process-in-open-and-distance-education-tales-from-the-field-open-book-publishers

The artificial curriculum

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evolving into a robot “Shaping the Future of Education: Exploring the Potential and Consequences of AI and ChatGPT in Educational Settings” by Simone Grassini is a well-researched, concise but comprehensive overview of the state of play for generative AI (GAI) in education. It gives a very good overview of current uses, by faculty and students, and provides a thoughtful discussion of issues and concerns arising. It addresses technical, ethical, and pragmatic concerns across a broad spectrum. If you want a great summary of where we are now, with tons of research-informed suggestions as to what to do about it, this is a very worthwhile read.

However, underpinning much of the discussion is an implied (and I suspect unintentional) assumption that education is primarily concerned with achieving and measuring explicit specified outcomes. This is particularly obvious in the discussions of ways GAIs can “assist” with instruction. I have a problem with that.

There has been an increasing trend in recent decades towards the mechanization of education: modularizing rather than integrating, measuring what can be easily measured, creating efficiencies, focusing on an end goal of feeding industry, and so on. It has resulted in a classic case of the McNamara Fallacy, that starts with a laudable goal of measuring success, as much as we are able, and ends with that measure defining success, to the exclusion anything we do not or cannot measure. Learning becomes the achievement of measured outcomes.

It is true that consistent, measurable, hard techniques must be learned to achieve almost anything in life, and that it takes sustained effort and study to achieve most of them that educators can and should help with. Measurable learning outcomes and what we do with them matter. However, the more profound and, I believe, the more important ends of education, regardless of the subject, are concerned with ways of being in the world, with other humans. It is the tacit curriculum that ultimately matters more: how education affects the attitudes, the values, the ways we can adapt, how we can create, how we make connections, pursue our dreams, live fulfilling lives, engage with our fellow humans as parts of cultures and societies.

By definition, the tacit curriculum cannot be meaningfully expressed in learning outcomes or measured on a uniform scale. It can be expressed only obliquely, if it can be expressed at all, in words. It is largely emergent and relational, expressed in how we are, interacting with one another, not as measurable functions that describe what we can do. It is complex, situated, and idiosyncratic. It is about learning to be human, not achieving credentials.

Returning to the topic of AI, to learn to be human from a blurry JPEG of the web, or autotune for knowledge, especially given the fact that training sets will increasingly be trained on the output of earlier training sets, seems to me to be a very bad idea indeed.

The real difficulty that teachers face is not that students solve the problems set to them using large language models, but that in so doing they bypass the process, thus avoiding the tacit learning outcomes we cannot or choose not to measure. And the real difficulty that those students face is that, in delegating the teaching process to an AI, their teachers are bypassing the teaching process, thus failing to support the learning of those tacit outcomes or, at best, providing an averaged-out caricature of them. If we heedlessly continue along this path, it will wind up with machines teaching machines, with humans largely playing the roles of cogs and switches in them.

Some might argue that, if the machines do a good enough job of mimicry then it really doesn’t matter that they happen to be statistical models with no feelings, no intentions, no connection, and no agency. I disagree. Just as it makes a difference whether a painting ascribed to Picasso is a fake or not, or whether a letter is faxed or delivered through the post, or whether this particular guitar was played by John Lennon, it matters that real humans are on each side of a learning transaction. It means something different for an artifact to have been created by another human, even if the form of the exchange, in words or whatever, is the same. Current large language models have flaws, confidently spout falsehoods, fail to remember previous exchanges, and so on, so they are easy targets for criticism. However, I think it will be even worse when AIs are “better” teachers. When what they seem to be is endlessly tireless, patient, respectful and responsive; when the help they give is unerringly accurately personal and targeted; when they accurately draw on knowledge no one human could ever possess, they will not be modelling human behaviour. The best case scenario is that they will not be teaching students how to be, they will just be teaching them how to do, and that human teachers will provide the necessary tacit curriculum to support the human side of learning. However, the two are inseparable, so that is not particularly likely. The worst scenarios are that they will be teaching students how to be machines, or how to be an average human (with significant biases introduced by their training), or both.

And, frankly, if AIs are doing such a good job of it then they are the ones who should be doing whatever it is that they are training students to do, not the students. This will most certainly happen: it already is (witness the current actors and screenwriters strike). For all the disruption that results, it’s not necessarily a bad thing, because it increases the adjacent possible for everyone in so many ways. That’s why the illustration to this post is made to my instructions by Midjourney, not drawn by me. It does a much better job of it than I could do.

In a rational world we would not simply incorporate AI into teaching as we have always taught. It makes no more sense to let it replace teachers than it does to let it replace students. We really need to rethink what and why we are teaching in the first place. Unfortunately, such reinvention is rarely if ever how technology works. Technology evolves by assembly with and in the context of other technology, which is how come we have inherited mediaeval solutions to indoctrination as a fundamental mainstay of all modern education (there’s a lot more about such things in my book, How Education Works if you want to know more about that). The upshot will be that, as we integrate rather than reinvent, we will keep on doing what we have always done, with a few changes to topics, a few adjustments in how we assess, and a few “efficiencies”, but we will barely notice that everything has changed because students will still be achieving the same kinds of measured outcomes.

I am not much persuaded by most apocalyptic visions of the potential threat of AI. I don’t think that AI is particularly likely to lead to the world ending with a bang, though it is true that more powerful tools do make it more likely that evil people will wield them. Artificial General Intelligence, though, especially anything resembling consciousness, is very little closer today than it was 50 years ago and most attempts to achieve it are barking in the wrong forest, let alone up the wrong tree. The more likely and more troubling scenario is that, as it embraces GAIs but fails to change how everything is done, the world will end with a whimper, a blandification, a leisurely death like that of lobsters in water coming slowly to a boil. The sad thing is that, by then, with our continued focus on just those things we measure, we may not even notice it is happening. The sadder thing still is that, perhaps, it already is happening.

Originally posted at: https://landing.athabascau.ca/bookmarks/view/19390937/the-artificial-curriculum

Look what just arrived on my doorstep! #howeducationworks from @au_press is now available in print and e-book formats

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Photo of hard copies of How Education Works

Hard copies and e-book versions of How Education Works are now available, and they are starting to turn up in bookstores. The recommended retail price is CAD$40 but Amazon is selling the Kindle version for a bit less.

Here are a few outlets that are selling it (or order it from your local independent bookstore!):

AU Press (CA)

Barnes & Noble (US)

Blackwells (UK)

Amazon (CA)

Amazon (JP)

University of Chicago Press (US)

Indigo (CA)

Booktopia (AU)

For those wanting to try before they buy or who cannot afford/do not want the paper or e-book versions, you can read it for free online, or download a PDF of the whole book.

The publishers see this as mainly targeted at professional teachers and educational researchers, but those are far from the only audiences I had in mind as I was writing it. Apart from anything else, one of the central claims of the book is that literally everyone is a teacher.  But it’s as much a book about the nature of technology as it is about education, and as much about the nature of knowledge as it is about how that knowledge is acquired. If you’re interested in how we come to know stuff, how technologies work, or how to think about what makes us (individually and collectively) smart, there’s something in the book for you. It’s a work of philosophy as much as it is a book of practical advice, and it’s about a way of thinking and being at least as much as it is about the formal practice of education. That said, it certainly does contain some ideas and recommendations that do have practical value for educators and educational researchers. There’s just more to it than that.

I cannot begin to express how pleased I am that, after more than 10 years of intermittent work, I finally have the finished article in my hands. I hope you get a chance to read it, in whatever format works for you! I’ll end this post with a quote, that happens to be the final paragraph of the book…

“If this book has helped you, however slightly, to think about what you know and how you have come to know it a little differently, then it has been a successful learning technology. In fact, even if you hold to all of your previous beliefs and this book has challenged you to defend them, then it has worked just fine too. Even if you disagreed with or misunderstood everything that I said, and even if you disliked the way that I presented it, it might still have been an effective learning technology, even though the learning that I hoped for did not come about. But I am not the one who matters the most here. This is layer upon layer of technology, and in some sense, for some technology, it has done what that technology should do. The book has conveyed words that, even if not understood as I intended them to be, even if not accepted, even if rabidly disagreed with, have done something for your learning. You are a different person now from the person you were when you started reading this book because everything that we do changes us. I do not know how it has changed you, but your mind is not the same as it was before, and ultimately the collectives in which you participate will not be the same either. The technology of print production, a spoken word, a pattern of pixels on a screen, or dots on a braille reader has, I hope, enabled you, at least on occasion, to think, criticize, acknowledge, recognize, synthesize, and react in ways that might have some value in consolidating or extending or even changing what you already know. As a result of bits and bytes flowing over an ether from my fingertips to whatever this page might be to you, knowledge (however obscure or counter to my intentions) has been created in the world, and learning has happened. For all the complexities and issues that emerge from that simple fact, one thing is absolutely certain: this is good.”

 

 

A decade of unwriting: the life history of "How Education Works"

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How Education Works book coverAbout 10 years ago I submitted the first draft of a book called “How Learning Technologies Work” to AU Press. The title was a nod to David Byrne’s wonderful book, “How Music Works” which is about much more than just music, just as mine was about much more than learning technologies.

Pulling together ideas I had been thinking about for a few years, the book had taken me only a few months to write, mostly at the tail end of my sabbatical. I was quite pleased with it. The internal reviewers were positive too, though they suggested a number of sensible revisions, including clarifying some confusing arguments and a bit of restructuring. Also, in the interests of marketing, they recommended a change to the title because, though accurately describing the book’s contents, I was not using “learning technologies” in its mainstream sense at all (for me, poetry, pedagogies, and prayer are as much technologies as pots, potentiometers and practices), so it would appeal to only a small subset of its intended audience. They were also a bit concerned that it would be hard to find an audience for it even if it had a better title because it was at least as much a book about the nature of technology as it was a book about learning, so it would fall between two possible markets, potentially appealing to neither.

A few months later, I had written a new revision that addressed most of the reviewers’ recommendations and concerns, though it still lacked a good title. I could have submitted it then. However, in the process of disentangling those confusing arguments, I had realized that the soft/hard technology distinction on which much of the book rested was far less well-defined than I had imagined, and that some of the conclusions that I had drawn from it were just plain wrong. The more I thought about it, the less happy I felt.

And so began the first of a series of substantial rewrites. However, my teaching load was very high, and I had lots of other stuff to do, so progress was slow. I was still rewriting it when I unwisely became Chair of my department in 2016, which almost brought the whole project to a halt for another 3 years. Despite that, by the time my tenure as Chair ended, the book had grown to around double its original (not insubstantial) length, and the theory was starting to look coherent, though I had yet to make the final leap that made sense of it all.

By 2019, as I started another sabbatical, I had decided to split the book into two. I put the stuff that seemed useful for practitioners into a new book,  “Education: an owner’s manual”, leaving the explanatory and predictive theory in its own book, now grandiosely titled “How Education Works”, and worked on both simultaneously. Each grew to a few hundred pages.

Neither worked particularly well. It was really difficult to keep the theory out of the practical book, and the theoretical work was horribly dry without the stories and examples to make sense of it. The theory, though, at last made sense, albeit that I struggled (and failed) to give it a catchy name. The solution was infuriatingly obvious. In all my talks on the subject my catchphrase from the start had been “’tain’t what you do, it’s the way that you do it, that’s what gets results” (it’s the epigraph for the book), so it was always implicit that softness and hardness are not characteristics of all technologies, as such, nor even of their assemblies, but of the ways that we participate in their orchestration. Essentially, what matters is technique: the roles we play as parts of the orchestration or orchestrators of it. That’s where the magic happens.

But now I had two mediocre books that were going nowhere. Fearing I was about to wind up with two unfinished and/or unsellable books, about half way through my sabbatical I brutally slashed over half the chapters from both, pasted the remains together, and spent much of the time I had left filling in the cracks in the resulting bricolage.

I finally submitted “How Education Works: Teaching, Technology, and Technique” in the closing hours of 2020, accompanied by a new proposal because, though it shared a theme and a few words with the original, it was a very different book.

Along the way I had written over a million words, only around a tenth of which made it into what I sent to AU Press. I had spent the vast majority of my authoring time unwriting rather than writing the book and, with each word I wrote or unwrote, the book had written me, as much as I had written it. The book is as much a part of my cognition as a product of it.

And now, at last, it can be part of yours.

30 months after it was submitted – I won’t go into the reasons apart from to say it has been very frustrating –  the book is finally available as a free PDF download or to read on the Web. If all goes to plan, the paper and e-book versions should arrive June 27th, 2023, and can be pre-ordered now.

It is still a book about technology at least as much as it is about education (very broadly defined), albeit that it is now firmly situated in the latter. It has to be both because among the central points I’m making are that we are part-technology and technology is part-us, that cognition is (in part) technology and technology is (in part) cognition, and that education is a fundamentally technological and thus fundamentally human activity. It’s all one complex, hugely distributed, recursive intertwingularity in which we and our technological creations are all co-participants in the cognition and learning of ourselves and one another.

During the 30 months AU Press has had the book I have noticed a thousand different ways the book could be improved, and I don’t love all of the edits made to it along the way (by me and others), but I reckon it does what I want it to do, and 10 years is long enough.

It’s time to start another.

A few places you can buy the book

AU Press (CA)

Barnes & Noble (US)

Blackwells (UK)

Amazon (CA)

Amazon (JP)

University of Chicago Press (US)

Indigo (CA)

Booktopia (AU)

Technology, Teaching, and the Many Distances of Distance Learning | Journal of Open, Flexible and Distance Learning

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I am pleased to announce my latest paper, published openly in the Journal of Open, Flexible and Distance Learning, which has long been one of my favourite distance and ed tech journals.

The paper starts with an abbreviated argument about the technological nature of education drawn from my forthcoming book, How Education Works, zooming in on the distributed teaching aspect of that, leading to a conclusion that the notion of “distance” as a measure of the relationship between a learner and their teacher/institution is not very useful when there might be countless teachers at countless distances involved.

I go on to explore a number of alternative ways we might conceptualize distance, some familiar, some less so, not so much because I think they are any better than (say) transactional distance, but to draw attention to the complexity, fuzziness, and fragility of the concept. However, I find some of them quite appealing: I am particularly pleased with the idea of inverting the various presences in the Community of Inquiry model (and extensions of it). Teaching, cognitive, and social (and emotional and agency) distances and presences essentially measure the same things in the same way, but the shift in perspective subtly changes the narratives we might build around them. I could probably write a paper on each kind of distance I provide, but each gets a paragraph or two because what it is all leading towards is an idea that I think has some more useful legs: technological distance.

I’m still developing this idea, and have just submitted another paper that tries to unpack it a bit more, so don’t expect something fully-formed just yet – I welcome discussion and debate on its value, meaning, and usefulness. Basically, technological distance is a measure of the gaps left between the technologies (including cognitive tools in learners’ own minds, what teachers orchestrate, textbooks, digital tools, etc, etc) that the learner has to fill in order to learn something. This is not just about the subject matter – it’s about the mill (how we learn) well as the grist (what we learn). There are lots of ways to reduce that distance, many of which are good for learning, but some of which undermine it by effectively providing what Dave Cormier delightfully describes as autotune for knowledge. The technologies provide the knowledge so learners don’t have to engage with or connect it themselves. This is not always a bad thing – architects may not need drafting skills, for instance, if they are going to only ever use CAD, memorization of facts easily discovered might not always be essential, and we will most likely see ubiquitous generative AI as part of our toolset now and in the future, for instance – but choosing what to learn is one reason teachers (who/whatever they are) can be useful. Effective teaching is about making the right things soft so the process itself teaches. However, as what needs to be soft is different for every person on the planet, we need to make learning (of ourselves or others) visible in order to know that. It’s not science – it’s technology. That means that invention, surprise, creativity, passion, and many other situated things matter.

My paper is nicely juxtaposed in the journal with one from Simon Paul Atkinson, which addresses definitions of “open”, “distance” and “flexible” that, funnily enough, was my first idea for a topic when I was invited to submit my paper. If you read both, I think you’ll see that Simon and I might see the issue quite differently, but his is a fine paper making some excellent points.

Abstract

The “distance” in “distance learning”, however it is defined, normally refers to a gap between a learner and their teacher(s), typically in a formal context. In this paper I take a slightly different view. The paper begins with an argument that teaching is fundamentally a technological process. It is, though, a vastly complex, massively distributed technology in which the most important parts are enacted idiosyncratically by vast numbers of people, both present and distant in time and space, who not only use technologies but also participate creatively in their enactment. Through the techniques we use we are co-participants in not just technologies but the learning of ourselves and others, and hence in the collective intelligence of those around us and, ultimately, that of our species. We are all teachers. There is therefore not one distance between learner and teacher in any act of deliberate learning— but many. I go on to speculate on alternative ways of understanding distance in terms of the physical, temporal, structural, agency, social, emotional, cognitive, cultural, pedagogical, and technological gaps that may exist between learners and their many teachers. And I conclude with some broad suggestions about ways to reduce these many distances.

Reference

Originally posted at: https://landing.athabascau.ca/bookmarks/view/17293757/my-latest-paper-technology-teaching-and-the-many-distances-of-distance-learning-journal-of-open-flexible-and-distance-learning

Petition · Athabasca University – Oppose direct political interference in universities · Change.org

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https://www.change.org/p/athabasca-university-oppose-direct-political-interference-in-universities

I, like many staff and students, have been deeply shaken and outraged by recent events at Athabasca University. This is a petition by me and Simon Buckingham Shum, of the University of Technology Sydney, Australia to protest the blatant interference by the Albertan government in the affairs of AU over the past year, that culminated in the firing of its president, Professor Peter Scott, without reason or notice. Even prior to this, the actions of the Albertan government had been described by Glen Jones (Professor of Higher Education, University of Toronto) as: “the most egregious political interference in a public university in Canada in more than 100 years” This was an assault on our university, an assault on the very notion of a public university, and it sets a disturbing precedent that cannot stand unopposed.

We invite you to view this brief summary, and consider signing this petition to signal your concern. Please feel more than free to pass this on to anyone and everyone – it is an international petition that has already been signed by many, both within and beyond the AU community.

Originally posted at: https://landing.athabascau.ca/bookmarks/view/17102318/petition-%C2%B7-athabasca-university-oppose-direct-political-interference-in-universities-%C2%B7-changeorg

Hot off the press: Handbook of Open, Distance and Digital Education (open access)

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https://link.springer.com/referencework/10.1007/978-981-19-2080-6

This might be the most important book in the field of open, distance, and digital education to be published this decade.Handbook cover Congratulations to Olaf Zawacki-Richter and Insung Jung, the editors, as well as to all the section editors, for assembling a truly remarkable compendium of pretty much everything anyone would need to know on the subject. It includes chapters written by a very high proportion of the most well-known and influential researchers and practitioners on the planet as well as a few lesser known folk along for the ride like me (I have a couple of chapters, both cowritten with Terry Anderson, who is one of those top researchers). Athabasca University makes a pretty good showing in the list of authors and in works referenced. In keeping with the subject matter, it is published by Springer as an open access volume, but even the hardcover version is remarkably good value (US$60) for something of this size.

The book is divided into six broad sections (plus an introduction), each of which is a decent book in itself, covering the following topics:

  • History, Theory and Research,
  • Global Perspectives and Internationalization,
  • Organization, Leadership and Change,
  • Infrastructure, Quality Assurance and Support Systems,
  • Learners, Teachers, Media and Technology, and
  • Design, Delivery, and Assessment

There’s no way I’m likely to read all of its 1400+ pages in the near future, but there is so much in it from so many remarkable people that it is going to be a point of reference for me for years to come. I’m really going to enjoy dipping into this.

If you’re interested, the chapters that Terry and I wrote are on Pedagogical Paradigms in Open and Distance Education and Informal Learning in Digital Contexts. A special shoutout to Junhong Xiao for all his help with these.

Originally posted at: https://landing.athabascau.ca/bookmarks/view/16584686/hot-off-the-press-handbook-of-open-distance-and-digital-education-open-access

Pedagogical Paradigms in Open and Distance Education | Handbook of Open, Distance, and Digital Education

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This is a chapter by me and Terry Anderson for Springer’s new Handbook of Open, Distance, and Digital Education that updates and refines our popular (1658 citations, and still rising, for the original paper alone) but now long-in-the-tooth ‘three generations’ model of distance learning pedagogy. We have changed the labels for the pedagogical families this time round to ones that I think are more coherent, divided according to their epistemological underpinnings: the objectivist, the subjectivist, and the complexivist. and we have added some speculations about whether further paradigms might have started to emerge in the 11 years since our original paper was published. Our main conclusion, though, is that no single pedagogical paradigm will dominate in the foreseeable future: that we are in an era of great pedagogical diversity, and that this diversity will only increase as time goes by.

The three major paradigms

Objectivist: previously known as ‘behaviourist/cognitivist’, what characterizes objectivist pedagogies is that they are both defined by assumptions of an objective external reality, and driven by (usually teacher-defined) objectives. It’s a paradigm of teaching, where teachers are typically sages on the stage using methods intended to achieve effective learning of defined facts and skills. Examples include behaviourism, learning styles theories, brain-based approaches, multiple intelligence models, media theories, and similar approaches where the focus is on efficient transmission and replication of received knowledge.

Subjectivist: formerly known as ‘social constructivist’, subjectivist pedagogies are concerned with – well – subjects: they are concerned with the personal and social co-construction of knowledge, recognizing its situated and always unique nature, saying little about methods but a lot about meaning-making. It’s a paradigm of learning, where teachers are typically guides on the side, supporting individuals and groups to learn in complex, situated contexts. Examples include constructivist, social constructivist, constructionist, and similar families of theory where the emphasis is as much on the learners’ growth and development in a human society as it is on what is being learned.

Complexivist: originally described as ‘connectivist’ (which was confusing and inaccurate), complexivist pedagogies acknowledge and exploit the complex nature of our massively distributed cognition, including its richly recursive self-organizing and emergent properties, its reification through shared tools and artefacts, and its many social layers. It’s a paradigm of knowledge, where teachers are fellow learners, co-travellers and role models, and knowledge exists not just in individual minds but in our minds’ extensions, in both other people and what we collectively create. Examples include connectivism, rhizomatic learning, distributed cognition, cognitive apprenticeship, networks of practice, and similar theories (including my own co-participation model, as it happens). We borrow the term ‘complexivist’ from Davis and Sumara, whose 2006 book on the subject is well worth reading, albeit grounded mainly in in-person learning.

No one paradigm dominates: all typically play a role at some point of a learning journey, all build upon and assemble ideas that are contained in the others (theories are technologies too), and all have been around as ways of learning for as long as humans have existed.

Emerging paradigms

Beyond these broad families, we speculate on whether any new pedagogical paradigms are emerging or have emerged within the 12 years since we first developed these ideas. We come up with the following possible candidates:

Theory-free: this is a digitally native paradigm that typically employs variations of AI technologies to extract patterns from large amounts of data on how people learn, and that provides support accordingly. This is the realm of adaptive hypermedia, learning analytics, and data mining. While the vast majority of such methods are very firmly in the objectivist tradition (the models are trained or designed by identifying what leads to ‘successful’ achievement of outcomes) a few look beyond defined learning products into social engagement or other measures of the learning process, or seek open-ended patterns in emergent collective behaviours. We see the former as a dystopic trend, but find promise in the latter, notwithstanding the risks of filter bubbles and systemic bias.

Hologogic: this is a nascent paradigm that treats learning as a process of enculturation. It’s about how we come to find our places in our many overlapping cultures, where belonging to and adopting the values and norms of the sets to which we belong (be it our colleagues, our ancestors, our subject-matter peers, or whatever) is the primary focus. There are few theories that apply to this paradigm, as yet, but it is visible in many online and in-person communities, and is/has been of particular significance in collectivist cultures where the learning of one is meaningless unless it is also the learning of all (sometimes including the ancestors). We see this as a potentially healthy trend that takes us beyond the individualist assumptions underpinning much of the field, though there are risks of divisions and echo chambers that pit one culture against others. We borrow the term from Cumbie and Wolverton.

Bricolagogic: this is a free-for-all paradigm, a kind of meta-pedagogy in which any pedagogical method, model, or theory may be used, chosen for pragmatic or personal reasons, but in which the primary focus of learning is in choosing how (in any given context) we should learn. Concepts of charting and wayfinding play a strong role here. This resembles what we originally identified as an emerging ‘holistic’ model, but we now see it not as a simple mish-mash of pedagogical paradigms but rather as a pedagogic paradigm in its own right.

Another emerging paradigm?

I have recently been involved in a lengthy Twitter thread, started by Tim Fawns on the topic of his recent paper on entangled pedagogy, which presents a view very similar indeed to my own (e.g. here and here), albeit expressed rather differently (and more eloquently). There are others in the same thread who express similar views. I suggested in this thread that we might be witnessing the birth of a new ‘entanglist’ paradigm that draws very heavily on complexivism (and that could certainly be seen as part of the same family) but that views the problem from a rather different perspective. It is still very much about complexity, emergence, extended minds, recursion, and networks, and it negates none of that, but it draws its boundaries around the networked nodes at a higher level than theories like Connectivism, yet with more precision than those focused on human learning interactions such as networks of practice or rhizomatic learning. Notably, it leaves room for design (and designed objects), for meaning, and for passion as part of the deeply entangled complex system of learning in which we all participate, willingly or not. It’s not specifically a pedagogical model – it’s broader than that – though it does imply many things about how we should and should not teach, and about how we should understand pedagogies as part of a massively distributed system in which designated teachers account for only a fraction of the learning and teaching process. The title of my book on the subject (that has been under review for 16 months – grrr) sums this up quite well, I think: “How Education Works”. The book has now (as of a few days ago) received a very positive response from reviewers and is due to be discussed by the editorial committee at the end of this month, so I’m hoping that it may be published in the not-too-distant future. Watch this space!

Here’s the chapter abstract:

Building on earlier work that identified historical paradigm shifts in open and distance learning, this chapter is concerned with analyzing the three broad pedagogical paradigms – objectivist, subjectivist, and complexivist – that have characterized learning and teaching in the field over the past half century. It goes on to discuss new paradigms that are starting to emerge, most notably in “theory-free” models enabled by developments in artificial intelligence and analytics, hologogic methods that recognize the many cultures to which we belong, and a “bricolagogic,” theory-agnostic paradigm that reflects the field’s growing maturity and depth.

Reference

Dron J., Anderson T. (2022) Pedagogical Paradigms in Open and Distance Education. In: Zawacki-Richter O., Jung I. (eds) Handbook of Open, Distance and Digital Education. Springer, Singapore. https://doi.org/10.1007/978-981-19-0351-9_9-1

EdTech Books

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This is a great, well presented and nicely curated selection of open books on education and educational technology, ranging from classics (and compilations of chapters by classic authors) to modern guides, textbooks, and blog compilations, covering everything from learning theory to choice of LMS. Some are peer-reviewed, there’s a mix of licences from PD to restrictive CC , and there’s good guidance provided about the type and quality of content. There’s also support for collaboration and publication. All books are readable online, most can be downloaded as (at least) PDF. I think the main target audience is students of education/online learning, and practitioners – at least, there’s a strong practical focus.

Originally posted at: https://landing.athabascau.ca/bookmarks/view/7161867/edtech-books (where you can find some really interesting comments, including the one that my automated syndicator mistakenly turned into the main post the first time it ran)

A Universe Explodes: A Blockchain Book, from Editions At Play

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A Universe Explodes A really nice project from the Editions at Play team at Google, in which blockchain is used both to limit supply to a digital book (only 100 copies made) and, as the book is passed on, to make it ‘age,’ in the sense that each reader must remove two words from each page and add one of their own before passing it on (that they are obliged to do). Eventually, it decays to the point of being useless, though I think the transitional phases might be very interesting in their own right.

I was thinking something very vaguely along these lines would be an interesting idea and had started making notes about how it would work, but it seemed so blindingly obvious that somebody must have already done it. Blockchain technologies for publishing are certainly being considered by many people, and some are being implemented.   The Alliance of Independent Authors seems to have the most practical plans for using Blockchain for that purpose. Another similar idea comes with the means to partially compensate publishers for such things (as though they needed even more undeserved profits). Another interesting idea is to use Blockchain Counterparty tokens to replace ISBN numbers. However, A Universe Explodes is the only example I have so far found of building in intentional decay. It’s one of a range of wonderfully inventive and inspiring books that could only possibly exist in digital media at the brilliant Editions at Play site.

Though use of Blockchain for publishing is a no-brainer, it’s the decay part that I like most, and that I was thinking about before finding this. Removing and adding words is not an accurate representation of the typical decay of a physical book, and it is not super-practical at a large scale, delightful though it is. My first thoughts were, in a pedestrian way, to build in a more authentic kind of decay. It might, for instance, be possible to simply overlay a few more pixels with each reading, or to incrementally grey-out or otherwise visually degrade the text (which might have some cognitive benefits too, as it happens). That relies, however, on a closed application system, or a representation that would be a bit inflexible (e.g. a vector format like SVG to represent the text, or even a bitmap) otherwise it would be too easy to remove such additions simply by using a different application. And, of course, it would be bad for people with a range of disabilities, although I guess you could perform similar mutilations of other representations of the text just as easily. That said, it could be made to work. There’s no way it is even close to being as good as making something free of DRM, of course, but it’s a refinement that might be acceptable to greedy publishers that would at least allow us to lend, give, or sell books that we have purchased to others.

My next thought was that you could, perhaps more easily and certainly more interestingly, make marginalia (graphics and text) a permanent feature of the text once ownership was transferred, which would be both annoying and enlightening, as it is in physical books. One advantage would be that it reifies the concept of ownership – the intentional marks made on the book are a truer indication of the chain of owners than anything more abstract or computer-generated. It could also be a really interesting and useful way to tread a slightly more open path than most ugly DRM implementations, inasmuch as it could allow the creation of deliberately annotated editions (with practical or artistic intent) without the need for publisher permission. That would be good for textbooks, and might open up big untapped markets: for instance, I’d quite often rather buy an ebook annotated by one of my favourite authors or artists than the original, even if it cost more. It could be interestingly subversive, too. I might even purchase one of Trump’s books if it were annotated (and re-sold) by journalists from the Washington Post or Michael Moore, for example. And it could make a nice gift to someone to provide a personally embellished version of a text. Combined with the more prosaic visual decay approach, this could become a conversation between annotators and, eventually, become a digital palimpsest in which the original text all but disappears under generations of annotation. I expect someone has already thought of that but, if not, maybe this post can be used to stop someone profiting from it with a patent claim.

In passing, while searching, I also came across http://www.eruditiondigital.co.uk/what-we-do/custos-for-ebooks.php which is both cunning and evil: it lets publishers embed Bitcoin bounties in ebooks that ‘pirates’ can claim and, in the process, alert the publisher to the identity of the person responsible. Ugly, but very ingenious. As the creators claim, it turns pirates on other pirates by offering incentives, yet keeping the whole process completely anonymous. Eeugh.

Address of the bookmark: https://medium.com/@teau/a-universe-explodes-a-blockchain-book-ab75be83f28

Originally posted at: https://landing.athabascau.ca/bookmarks/view/2874113/a-universe-explodes-a-blockchain-book-from-editions-at-play