e-Literate

Present is Prologue

Tag: e-learning

  • Blueprint for a Post-LMS, Part 2

    In the first post of this series, I identified four design goals for a learning platform that would be well suited for discussion-based courses:

    1. Kill the grade book in order to get faculty away from concocting arcane and artificial grading schemes and more focused on direct measures of student progress.
    2. Use scale appropriately in order to gain pedagogical and cost/access benefits while still preserving the value of the local cohort guided by an expert faculty member, as well as to propagate exemplary course designs and pedagogical practices more quickly.
    3. Assess authentically through authentic conversations in order to give credit for the higher order competencies that students display in authentic problem-solving conversations.
    4. Leverage the socially constructed nature of expertise (and therefore competence) in order to develop new assessment measures based on the students’ abilities to join, facilitate, and get the full benefits from trust networks.

    I also argued that platform design and learning design are intertwined. One implication of this is that there is no platform that will magically make education dramatically better if it works against the grain of the teaching practices in which it is embedded. The two need to co-evolve.

    This last bit is an exceedingly tough nut to crack. If we were to design a great platform for conversation-based courses but it got adopted for typical lecture/test courses, the odds are that faculty would judge the platform to be “bad.” And indeed it would be, for them, because it wouldn’t have been designed to meet their particular teaching needs. At the same time, one of our goals is to use the platform to propagate exemplary pedagogical practices. We have a chicken and egg problem. On top of that, our goals suggest assessment solutions that differ radically from traditional ones, but we only have a vague idea so far of what they will be or how they will work. We don’t know what it will take to get them to the point where faculty and students generally agree that they are “fair,” and that they measure something meaningful. This is not a problem we can afford to take lightly. And finally, while one of our goals is to get teachers to share exemplary designs and practices, we will have to overcome significant cultural inhibitions to make this happen. Sometimes systems do improve sharing behavior simply by making sharing trivially easy—we see that with social platforms like Twitter and Facebook, for example—but it is not at all clear that just making it easy to share will improve the kind of sharing we want to encourage among faculty. We need to experiment in order to find out what it takes to help faculty become comfortable or even enthusiastic about sharing their course designs. Any one of these challenges could kill the platform if we fail to take them seriously.

    When faced with a hard problem, it’s a good idea to find a simpler one you can solve that will get you partway to your goal. That’s what the use case I’m about to describe is designed to do. The first iteration of any truly new system should be designed as an experiment that can test hypotheses and assumptions. And the first rule of experimental design is to control the variables.

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  • A New e-Literate TV Series is in Production

    We have been quiet about e-Literate TV lately, but it doesn’t mean that we have been idle. In fact, we’ve been hard at work filming our next series. In addition to working with our old friends at IN THE TELLING—naturally—we’re also collaborating with EDUCAUSE Learning Initiative (ELI) and getting funding and support from the Bill & Melinda Gates Foundation.

    As we have discussed both here and elsewhere, we think the term “personalized learning” carries a lot of baggage with it that needs to be unpacked, as does the related concept of “adaptive learning.” The field in general is grappling with these broad concepts and approaches; an exploration of specific examples and implementations should sharpen our collective understandings about the promise and risks of these concepts and approaches. The Gates foundation has funded the development of an ETV series and given us a free editorial hand to explore the topics of personalization and adaptive learning.

    The heart of the series will be a series of case studies at a wide range of different schools. Some of these schools will be Gates Foundation grantees, piloting and studying the use of “personalized learning” technology or product, while others will not. (For more info about some of the pilots that Gates is funding in adaptive learning, including which schools are participating and the evaluation process the foundation has set up to ensure an object review of the results, see Phil’s post about the ALMAP program.) Each ETV case study will start by looking at who the students are at a particular school, what they’re trying to accomplish for themselves, and what they need. In other words who are the “persons” for whom we are trying to “personalize” learning? Hearing from the students directly through video interviews will be a central part of this series. We then take a look at how each school is using technology to support the needs of those particular students. We’re not trying to take a pro- or anti- position on any of these approaches. Rather, we’re trying to understand what personalization means to the people in these different contexts and how they are using tools to help them grapple with it.

    Because many Americans have an idealized notion of what a personalized education means that may or may not resemble what “personalized learning” technologies deliver, we wanted to start the series by looking at that ideal. We filmed our first case study at Middlebury College, an elite New England liberal arts college that has an 8-to-1 student/teacher ratio. They do not use the term “personalized learning” at Middlebury, and some stakeholders there expressed the concern that technology, if introduced carelessly, could depersonalize education for Middlebury students. That said, we heard both students and teachers talk about ways in which even an eight-person seminar can support more powerful and personalized learning through the use of technology.

    The second school on our list was Essex County College in Newark, New Jersey, where we are filming as of this writing (but will be finished by publication time). As you might imagine, the students, their needs, and their goals and aspirations are different, and the school’s approach to supporting them is different. Here again, we’ll be asking students and teachers for their stories and their views rather than imposing ours. We intend to visit a diverse handful of schools, with the goal of releasing a few finished case studies by the end of this year and more early next year.

    With the help of the good folks at ELI, we will also be bringing together a panel at the ELI 2015 conference, consisting of the people from the various case studies to have a conversation about what we can learn about the idea of personalized learning by looking across these various contexts and experiences. This will be a “flipped” panel in the sense that the panelists (and the audience) will have had the opportunity to watch the case study videos before sitting down and talking to each other. The discussion will be filmed and included in the ETV series.

    We’re pretty excited about the series and grateful, as always, to the support of our various partners. We’ll have more to say—and show—soon.

    Stay tuned.

  • InstructureCon: Canvas LMS has different competition now

    For the first few years of the Canvas LMS, Instructure’s core message was ‘Canvas is better than Blackboard’. This positioning was thinly veiled in the company’s 2011 spoof of the Apple / 1984 commercial and even hitting the level of gloating in a company blog commenting on Blackboard’s strategy reversal in 2012. Instructure made their name by being the anti-Blackboard.

    At InstructureCon 2014, there was hardly a mention of Blackboard or any of the other LMS providers. In fact, most of the general sessions avoided any direct or indirect comparison of LMS products. This year there were three observations that surprised me:

    • Snow in June;
    • Canvas growth in K-12 markets; and
    • Lack of mention of LMS competitors or product one-upmanship.

    Snow in June

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  • Is Coursera Facebook, Amazon, or Pets.com?

    Before I get started, let me just say that Phil can vouch for the fact that I had already planned to use “Pets.com” in the title of this post before MIT Technology Review used it in their article on Minerva. As we’ll see, there are reasons to reach for that particular analogy at this particular moment in educational technology.

    Anyway, it’s an uncomfortable truth for educational folks that one of the principal innovations of the xMOOC is the store front. It is the ability to find courses in a catalog. If you look at what Coursera is right now from a platform perspective, it is primarily a store front on top of an LMS. The same could be said of edX. And as Phil and I have both written about recently, this is also the primary innovation in Instructure’s Canvas Network. I don’t expect that innovations in MOOC platforms to stay confined to the store front in the long run; for example, Daphne Koller, the co-CEO of Coursera, is also a leading expert in Bayesian machine learning. I think the scale of usage will drive other innovations. But right now, it’s the store front that is the most obvious differentiator between an LMS and a MOOC platform. As we game out which of the various xMOOC entrants will be successful, it’s important to understand how the store front works and the degree to which the growth of one dominant platform could impact the ways that colleges and universities function. I think there are at least three possibilities.

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  • What Intrigues Me About Google Wave

    Now that I’ve had a little while to think about it, I’m ready to distill my initial enthusiastic reaction to Google Wave down to a manageably short (and hopefully non-fanboi) post. Let me say at the outset that I have no idea whether Wave will succeed. I am convinced, however, that something like Wave will succeed, in part because much about it is not new. My initial thought was was, “Hey, somebody finally got Apple’s OpenDoc to work.” Scott Wilson twittered that Google had reinvented ActiveX. In some ways, Wave is, like many great inventions, an old idea with some new twists. This is not to minimize the value of those twists. To the contrary, they are astonishing. My point is simply that the essence of Wave will survive whether ore not Wave itself is a success because many of the core ideas have been proven to be compelling in the past.

    At any rate, there are a number of elements to Wave that are particularly attractive and likely to change practice in the field of e-learning:

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