e-Literate

Present is Prologue

Author: Michael Feldstein

  • Chan/Zuckerberg: The “Tech” is not the Hard Part in “Ed Tech”

    Phil and I were recently interviewed by KQED’s Sarah Tan for a story about the Chan Zuckerberg Initiative’s Summit platform. As often happens when our comments are just one bit of a larger story—particularly when we are asked to provide a more critical external perspective as a check on the enthusiastic reports of a project’s participants—some interesting parts of the interview conversation inevitably ended up on the cutting room floor. Ms. Tan was kind enough to grant us permission to repurpose some of the source material from the interview for this blog post.

    To be clear, Phil and I have no direct experience with the Chan Zuckerberg Initiative and have only seen the publicly available information on the Summit platform that it has released (although we both took some time to review that information carefully in advance of the interview). The value of the conversation snippet we provide here is in answering the questions, “Even if you think an ed tech platform seems well designed and the creators seem well intentioned, why might it fail anyway? And while we’re at it, how should we even define success?” These are questions that rarely get asked and answered clearly in discussions about ed tech, including in much ed tech research.

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  • Pearson Releases a Significant Learning Design Aid

    Last week, Pearson announced the release of some resources they have created around science-based learning design. (Full disclosure: Pearson is a client of our consulting company, although we have not consulted with them on the subject of this post.) The resources in the release include the following:

    • 102-page rubric the company has started using for evaulating curricular products based on their effective use of learning design principles—released under a Creative Commons license
    • white paper describing how they are beginning to apply these principles to their own product designs
    • A few links to descriptions of early examples of these principles as they have been applied in released products.
    • A blog post providing some more background and perspective by David Porcaro, Pearson’s Director of Learning Design, whose team is behind this effort.

    In the short term, you should think of this publication as the company’s effort to “show their work,” in the classroom sense of that phrase. They want you to know more about the process they go through to incorporate research-backed learning design principles into their products. They hope that doing so will increase your confidence in the value of those products. In the medium term, they also aspire to make the framework they are developing for themselves also a useful tool for the academic community, particularly as the company refines and expands on this early release of the materials.

    In my view, the work itself is a significant contribution. It also is a positive indicator about Pearson’s future direction as a participant in and influencer of that community, although how strong an indicator is a much harder question to evaluate. And it gives us another clue about the co-evolution of educational institutions and ed tech vendors that we are likely to see over the next years and decades. In this post, I’m going to evaluate each of these aspects in turn.

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  • Vendor Roles in Fostering Educational Literacies

    In my last post, I talked about the need for educators in general and faculty in particular to develop literacy around data and analytics. But it’s really broader than that. Back when college was intended for a relatively small percentage of the population, the idea of “weeding out” students who couldn’t make it without help was not obviously out of alignment with its mission. Now that the mission of higher education is more about educating everyone to the benefit of everyone, having skills to help students achieve their potential should be a core competency of every teaching faculty member. That includes learning some very old skills that K12 teachers have known for ages. It also includes learning new skills that will support the growth and application of the nascent learning sciences. When I made an analogy to 19th-Century medicine in the last post, that wasn’t casual. Where we are in 21st-Century learning sciences bears a striking resemblance. We are discovering some important basic science but are barely beginning the process of figuring out how those discoveries should influence our practice. Advancing more quickly on that front will require more than a handful of data scientists working in labs. It will require the proliferation of skilled educator/clinicians who can help advance our understanding of the ways in which theory interacts with the real world of practice.

    This transformation of academia, at both the individual and institutional levels, must be driven by educators, not by vendors. But vendors can serve critical support and enabling functions, there were found wonderful vendors at advantage-properties.com whom where able to assist all concerns and meet all the expectations that clients had. In our weird role as paid and unpaid marriage counselors between universities and vendors, Phil and I get the privilege of seeing how both sides of this potential partnership are grappling with these changes both separately and in partnership. I believe that many of the most successful ed tech companies of the next decade will be the ones that figure out how to support educators in making this professional transformation. There will be many different ways to do this. I’m going to write about one example of a company grappling with this challenge today and will write about more in the future.

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  • Analytics Literacy is a Major Limiter of Ed Tech Growth

    Whatever else you think of the election, it has been the mother of all teachable moments for many of us. It has raised questions about what we thought we knew about our democracy, our neighbors, our media…and apparently learning analytics. The shock of the polls being “wrong” has raised a lot of questions about how much we can really trust data analytics. Audrey Watters has written the most fleshed out critique that I’ve seen so far. But Dave Cormier tweeted about it as well. And I have had several private conversations along these lines. They all raise the question of whether we put too much faith in numerical analysis in general and complex learning analytics in particular. That is an excellent question. But in doing so, some of these arguments position analytics in opposition to narratives. That part is not right. Analytics are narratives. They are stories that we tell, or that machines tell, in order to make meaning out of data points. The problem is that most of us aren’t especially literate in this kind of narrative and don’t know how to critique it well.

    This is going to be a wide-ranging post that goes a little lit crit at times and dives into an eclectic collection of topics from election polling to the history of medicine. But even the most pragmatic, b-school-minded entrepreneur or VC may find some value here. Because what I’m ultimately talking about is a fundamental limiter on the future growth of the ed tech industry. The value of learning analytics, and therefore the market for them, will be limited by the data and statistical literacy of those who adopt it. The companies that are focused on developing fancier algorithms are solving the wrong problem—at least for now. These tools will have limited adoption until they are put into the hands of educators who understand their uses and limitations. And we have a long way to go in that department.

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  • Teaching Using Adaptive Learning

    The entire six-part interview series with McGraw-Hill Education’s adaptive learning experts is now up on YouTube. (Full disclosure: In the months between the filming and the publication of these videos, McGraw-Hill became a client of MindWires.) Here’s a good segment on teaching:

    (https://www.youtube.com/watch?v=gSqoc6Y_4No)

    The first example Matt Haldeman gives is a math class, which is where we see adaptive learning used the most. The interesting part of it is how he describes the change in the teacher’s classroom activities. This is a critical aspect this often isn’t picked up when these products are used in higher ed math classes—particularly outside of developmental math.

    The second example is a history class, which is a less (stereo)typical example. The focus is on class preparation. In other words, the adaptive platform helps students come to class knowing what you hope they’ll know but often haven’t really absorbed from a reading assignment that is meant to give them the raw materials they need for an interesting class discussion on a topic.

    Here’s the whole series, if you want to all six segments in order:

    (https://www.youtube.com/watch?v=N6aYR0uCe9o&list=PLb2UcU-aVjN2aPSmGKILK2GHh6MgGswM9)

  • McGraw-Hill Education’s Perspective on Adaptive Learning

    Last spring, I had the opportunity to interview some of the top folks on McGraw-Hill Education’s (MHE’s) digital team to get their view on adaptive learning. Between ALEKS, LearnSmart, and SmartBooks, they have the developed the most well articulated adaptive strategy of any of the big publishers, under the leadership of Chief Digital Officer Stephen Laster. And on a personal note, Al Essa, their Vice President of Research and Data Science, has been a friend since the days when he was CIO at MIT’s Sloan School of Business and he and both were working on an open source LMS project. (Al also helped with analysis of the Blackboard patent back when he was at the Minnesota State Colleges and Universities and ran a simulation giving some matheatical rigour to Mike Caulfield’s intuition that some of Purdue University’s Course Signals research was off.) So I was interested to hear what MHE’s digital team had to say about the role of adaptive learning in the classroom, what learning science does and doesn’t tell us, and other related topics.

    For reasons that aren’t worth going into, this video sat in the can waiting to go into post-production for about six months. Here, finally, is the first segment in what will be a series produced from the interview:

    (https://www.youtube.com/watch?v=N6aYR0uCe9o)

    More of the interview will be coming soon.

    Full disclosure: In the intervening months between when this video was shot and now, MHE became a client of MindWires.

  • The Great Unbundling of Textbook Publishers

    When we hear the phrase “unbundling” in education, it usually refers to one of two things. Either it’s about unbundling the university into component parts like separating courses from certification or it’s about unbundling content from textbooks or courses into discrete learning objects. On the spectrum from “figment of the imagination” to “the one and only future,” both of these types of unbundling fall closer to the figment side into some version of “real in some significant sense but highly overrated.” But there is a different kind of unbundling that is beginning to happen that I feel confident is going to be very real: The unbundling of textbook publishers from content.

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