Wheel on SAMR and Bloom's Digital Taxonomy

A brave or, more accurately, foolhardy attempt to marry Bloom’s (unempirical and unsubtle) taxonomy and the (equally unempirical but worthy of reflection) SAMR model of technology that categorizes technologies in terms of relative transformative capacity, with examples of appropriate iPad tools to cover each segment of both wheels. Like most such models, it is way too neat. You simply cannot categorize things that relate to the complex world of learning in such coarse and simple ways – in both the case of Bloom and of SAMR, it ain’t what you do so much as the way that you do it that makes all the difference in the world, and the tools linked to are mostly much more interesting (and, conversely, much more boring) than the diagram suggests. However, like many such models, it is not a bad bit of scaffolding or at least a springboard for reflection that encourages one to think about things that, without it, might be missed, especially if you are not an expert in pedagogy or technology.

Address of the bookmark: http://www.educatorstechnology.com/2013/05/a-new-wonderful-wheel-on-samr-and.html?utm_source=dlvr.it&utm_medium=linkedin

Interactive Learning Online at Public Universities: Evidence from Randomized Trials | Ithaka S+R

Yet another no-significant-difference paper.

I’d feel a lot more positive towards this report if its abstract did not begin “Online learning is quickly gaining in importance in U.S. higher education, but little rigorous evidence exists as to its effect on student learning outcomes”

For all the ‘rigour’ of their review, it appears that they failed to do the literature review because an absolutely massive amount of rigorous evidence exists about this that shows exactly the same thing. Anyway, here is some more. And, like all the rest, the graphs look nice but otherwise it is pretty pointless. Like all the rest, you might just as well look at the effect of transistors or buildings on student learning outcomes. It ain’t what you do, it’s the way that you do it, that’s what’s missing here.

For the record, they are not actually looking at online learning but at blended (or, as they prefer, ‘hybrid’) approaches. 

Address of the bookmark: http://www.sr.ithaka.org/research-publications/interactive-learning-online-public-universities-evidence-randomized-trials

Texting frequency and moral shallowing

An interesting study that reveals, in accordance with Nicholas Carr’s predictions, that there is a close positive correlation between what most of us would consider moral ugliness and frequent texting, at least among young people in Winnipeg. The correlations between frequent texting and moral dissolution are unsurprising, as the study appears to suggest that 42% of students in Winnipeg appear to text more than 200 times a day. 12%  of them do so more than 300 times a day. That leaves little time for thought. It averages out at once every 3 minutes for 15 hours of the day. I guess they read the replies too And eat and use the bathroom (I don’t want to even think about that in the context of texting). And indulge what appear to be quite prodigious and positively correlated sexual appetites (or that). Luckily for the rest of us, that leaves little time to pursue their interests in wealth and status.  My suspicion would be that most activities apart from breathing that that we engage in 300+ times a day are unlikely to do us much good. 

Address of the bookmark: http://news-centre.uwinnipeg.ca/wp-content/uploads/2013/04/texting-study.pdf

The pedagogical foundations of massive open online courses | Glance | First Monday

A charmingly naive article taking a common-sense, straightforward approach to asking whether the woefully uniform pedagogies of the more popular Coursera-style MOOCs might actually work. The authors identify the common pedagogies of popular MOOCs then use narrative analysis to see whether there has been empirical research to show whether those pedagogies can work. The answer, unsurprisingly, is that they can. It would have been a huge surprise if they couldn’t. This is a bit like asking whether email can be used to communicate.

I like the way this article is constructed and the methods used. Its biggest contribution is probably the very simple (arguably simplistic) description of the central pedagogies of MOOCs. Its ‘discoveries’ are, however, spurious. The fact that countless millions of people do learn online using some or all of the pedagogical approaches used by MOOCs is plenty evidence enough that their methods can work and it really doesn’t demand narrative analysis to demonstrate this blindingly obvious fact – one for the annals of obvious research, I think. Like all soft technologies, it ain’t what you do, it’s the way that you do it, that’s what gets results. ‘Can work well’ in general does not mean ‘does work well’ in the particular. We know that billions of people have learned well from books, but that does not mean that all books teach well, nor that books are the best way to teach any given subject.

Address of the bookmark: http://firstmonday.org/ojs/index.php/fm/article/view/4350/3673

Elgg source code evolution (before 4th May 2013) – YouTube

A fascinating diagram showing developer contributions to the open source core of the Elgg project (used here on the Landing) over the past 5 years or so. Quite fascinating to watch, and especially pleasing to see how the number of contributors has grown over the past year or so, probably as much due to moving to Github from Trac as anything else, though the great work of the Elgg foundation team in building and employing the work of the community goes hand in hand with that. Makes me feel quite a lot more secure about the future of the technology to know that so many people are active in pushing it forward. It would be intriguing to look at the larger ecosystem of plugins that sits around that using a similar visualization.

Address of the bookmark:

Discourse – rebooted forum software

Discourse is an extremely cool and open source reinvention of forum software that is replete with modern features like real-time AJAX loading of threads (which are not the usual tree-like things but more a flat form with contextual threading as and when needed), lots of collective features including reputation management, tagging, rating and ranking, what’s-hot lists and so on. Looks slick, hooks into plenty of other services. I’d like to see something like this on the Landing instead of its simple discussion boards. Not trivial to integrate, but it does have an open and rich API so can be called easily from other systems.

Address of the bookmark: http://www.discourse.org/

Knewton is cool, but it is very dangerous

At the Edtech Innovation 2013 conference last week I attended an impressive talk from Jose Ferreira on Knewton, a tool that does both large-scale learning analytics and adaptive teaching. Interesting and ingenious though the tool is, its implications are chilling. 

Ferreira started out his talk with a view of the history educational technology that somewhat mirrors my own, starting with language as the seminal learning technology that provided the foundation for the rest (I would also consider other thinking tools like drawing, dance and music as being important here, but language is definitely a huge one). He then traced technology innovations like writing, printing, etc and, a little inaccurately, mapped these to their reach within the world population. So, printing reached more people than writing, for instance, and formal schooling opened up education to more people than earlier cottage industry approaches. That mapping was a bit selective as it ignored the near-100% reach of language, as well as the high penetration of broadcast technologies like TV and radio and cinema. But I was OK with the general idea – that educational technologies offer the potential for more people to learn more stuff. That is good.

The talk continued with a commendable dismissal of the industrial model of education that developed a couple of hundred years ago. This model made good economic sense at the time and made much of the improvement to the human condition since then possible (and the improvements are remarkable),  but it makes use of a terrible process that was a necessary evil at the time but that, with modern technologies and needs, no longer makes sense. From a learning perspective it is indeed ludicrous to suggest that groups of people of a similar age should learn the same way at the same time. But there is more. Ferreira skipped over an additional, and crucial, key concern with this model of education. A central problem with the industrial model, when used for more than basic procedural knowledge, is not just that everyone is learning the same way at the same time but that they are (at least if it works, which it thankfully doesn’t) learning the same things. That is a product of the process, not its goal. No one but a fool would deliberately design a system that way: it is simply what happens when you have to find a solution to teaching a lot of people at once, with only simple technologies like timetables, classrooms and books to help, and a very limited set of teaching resources to handle it. It is not something to strive for, unless your goal is cultural and socio-economic subjugation. Although, as people like Illich and Freire eloquently demonstrated a long time ago, such oppression may be the implicit intent, most of us would prefer that not to be the case. Thankfully, what and how we think we teach is very rarely, if ever, precisely what and how people actually learn.  At least, that has been the case till now.  The Knewton system might actually make that process work. 

Knewton has two distinct functions that were not clearly separated in Ferreira’s talk but that are fundamentally different in nature. The first is the feedback on progress for teachers and learners that the system provides. With a small proviso that bad interpretations of such data may do much harm, I think the general idea behind that is great, assuming a classroom model and the educational system that surrounds it remains much as it is now. The technology provides information about learner progress and teaching effectiveness in a palatable form that is genuinely useful in guiding teachers to better understand both how they teach and the ways that students are engaging with the work. It is technically impressive and visually appealling – little fleas on an ontology map showing animated versions of students’ learning paths are cool. Given the teaching context that it is trying to deal with, I have no problems with that idea and applaud the skill and ingenuity of the Knewton team in creating a potentially useful tool for teachers. If that were all it did, it would be excellent. However, the second and far more worrying broad function of Knewton is to channel and guide learners themselves in the ‘right’ direction. This is adaptive hypermedia writ large, and it is emphatically not great. This is particularly problematic as it is based on a (large) ontology of facts and concepts that represent what is ‘right’ from an expert perspective, not on the values of such things nor on the processes for achieving mastery, that may be very different from their ontological relationships with one another.

There is one massive problem with adaptive hypermedia of this nature, notwithstanding the technical problems thanks to the inordinate complexity of the algorithms and mass of data points used here, and ignoring the pedagogical weaknesses of treating expert understanding as a framework for teaching. The big problem is more basic: that it assumes there is a right answer to everything. This is a model of teaching and learning (in that order) that is mired in an objectives driven model. But my reaction here (and while he was talking) to Ferriera’s talk, which I assume was meant to teach me about Knewton, self-referentially shows that’s not always the main value in effective teaching and learning. Basically, what he wanted to tell me is clearly not, mainly, what I learned.  And that is always the case in any decent learning experience worthy of the name. In fact, the backstories, interconnections, recursive, iterative constructions and reconstructions of knowledge that go on in most powerful learning contexts are typically the direct result of what might be perceived by those seeking efficient mastery of learning outcomes as inefficiency.  In educational transactions that work as they should, some of what we learn can be described by learning outcomes but the real big learning that goes on is usually under the waterline and goes way beyond the defined objectives. While skill acquisition is a necessary part of the process and helps to provide foci and tools to think with, meaningful learning is also transformative, creative and generative, and it hooks into what we already know in unpredictable ways.

So Knewton is reinforcing a model that deals with a less-than-complete subset of the value of education. So what? There’s nothing wrong with that in principle and that’s fine if that is all it does. We don’t have to listen to its recommendations, the whole Web is just a click away and, most importantly, we can construct our own interpretations and make our own connections based on what it helps to teach us. It gives us tools to think with. If Knewton is part of a learning experience, surely there is nothing wrong with making it easier to reach certain objectives more easily? If nothing else, teaching should make learning less painful and difficult than it would otherwise have been, and that’s exactly what the system is doing. The problem though is that, if Knewton works as advertised, the paths it provides probably are the most efficient way to learn whatever fact or procedure the system is trying to teach us. This leads to the crucial problem: assuming it works, Knewton reinforces our successful learning strategies (as measured by the narrow objectives of the teacher) and encourages us to take those paths again and again. By adapting to us, rather than making us adapt ourselves, we are not stretched to have to find our own ways through something confusing or vague and we don’t get to explore less fruitful paths that sometimes lead to serendipity and, less commonly but more importantly, to transformation, and that stretch us to learn differently. Knewton, if it works as intended, makes a filter bubble that restricts the range of ways that we have to learn, creating habits of behaviour that send us ever more efficiently to our goals. Fundamentally, learning changes people, and learning how to learn in different ways, facing different problems differently, is precisely what it is all about: mechanical skills just give us better tools for doing that.  The Knewton model does not encourage change and diversity in how we learn: it encourages reinforcement. That is probably fine if we want to learn (say) how to operate a machine, perform mathematical operations, or remember facts, as part of a learning process intended to achieve something more. However, though important, this is not the be-all and end-all of what effective education is all about and is arguably the lesser part of its value. Effective education is about changing how we think. Something that reinforces how we already think is therefore very bad. Human teachers model ways of knowing and thinking that open us up to different ways of thinking and learning – that’s what makes Knewton a useful tool for teachers, because it helps to better reveal how that happens and allows them to reflect and adapt.

None of this would matter all that much if Knewton remains simply one of an educational arsenal of weapons against ignorance in a diverse ecosystem of tools and methods. However, that does not match Ferriera’s ambitions for it: he wants it to reach and teach 100% of the world’s population. He wants it to be freely available and used by everyone, to be the Google of education. That makes it far more dangerous and that’s why it worries me. I am pleased to note that Ferreira is not touting the tool as having value in teaching of softer subjects like art, literature, history, philosophy, or education, and that’s good. But there are those, and I hope Ferreira is not among them, who would like to analyse development in such learning contexts and build tools that make learning in such areas easier in much the same way as Knewton currently does in objectives-driven skill learning. In fact, that is almost an inevitability, an adjacent possible that is too tempting to ignore. This is the thin end of a wedge that could, without much care, critical awareness and reflection about the broader systemic implication, be even more disastrous than the industrial model that Ferreira rightly abhors. Jose Ferreira is a likeable person with good intentions and some neat ideas, so I hope that Knewton achieves modest success for him and his company, especially as a tool for teachers. But I hope even more that it doesn’t achieve the ubiquitous penetration that he intends.