e-Literate

Present is Prologue

Tag: Tony Bates

  • Recommended Reading: WCET Survey Report and Tony Bates Commentary

    Recommended Reading: WCET Survey Report and Tony Bates Commentary

    WCET released its survey results on the price and costs of online education last week, focusing on US higher education, and it has caused quite a stir due to the headline, first-look analysis. As Inside Higher Ed described in the article “Online Education Costs More, Not Less”:

    The myth that online education courses cost less to produce and therefore save students money on tuition doesn’t hold up to scrutiny, a survey of distance education providers found.

    While there is value in countering a myth held by many state legislators and policy makers that online education is a surefire way to save money – and the report does shoot down this myth – it is unfortunate that most of the public discussion is based on the oversimplified summary described above and and entirely-justified pushback that online education does not have to cost more.

    The report itself tackles the difficult subject of price (what a student pays) and costs (what it takes to produce) of online vs. face-to-face education with much more nuance and information that gets lost in the conversation. In particular, the “demographics” section is laudable as one of the best description of survey respondents and how this response compares to national averages. And there is text noting discrepancies and limitations to the survey results.  (more…)

  • It’s Called Data Analysis And Not Data Synthesis For A Reason

    I’ve never been a big TEDtalks fan, but recently I’ve been exploring some of the episodes, partially based on peer pressure.

    In the process I ran across a talk from Sebastian Wernicke, who has a bioinformatics background but now seems to specialize in giving talks. The talk in question is “How to use data to make a hit TV show”, which starts by looking at two data approaches to binge TV production – Amazon’s use of data analysis to choose a new show concept, leading to Alpha House, and Netflix’s use of data to look at lots of show components but then to let humans make conclusions and “take a leap of faith”, leading to House of Cards. The anecdotes set up his description of where data fits and where it doesn’t, and this mirrors what Michael and I are seeing in the use the broad application of personalized learning.

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  • The EDUCAUSE NGDLE and an API of One’s Own

    I have been meaning for some time to get around to blogging about the EDUCAUSE Learning Initiative’s (ELI’s) paper on a Next-Generation Digital Learning Environment (NGDLE) and Tony Bates’ thoughtful response to it. The core concepts behind the NGDLE are that a next-generation digital learning environment should have the following characteristics:

    • Interoperability and Integration
    • Personalization
    • Analytics, Advising, and Learning Assessment
    • Collaboration
    • Accessibility and Universal Design

    The paper also suggests that the system should be modular. They draw heavily on an analogy to LEGOs and make a call for more robust standards. In response, Bates raises three concerns:

    1. He is suspicious of a potentially heavy and bureaucratic standards-making process that is vulnerable to undue corporate influence.
    2. He worries that LEGO is a poor metaphor that suggests an industrialized model.
    3. He is concerned that, taken together, the ELI requirements for an NGDLE will push us further in the direction of computer-driven rather than human-driven classes.

    As it happens, ELI’s vision for NGDLE bears a significant resemblance to a vision that some colleagues and I came up with ten years ago when we were trying to help the SUNY system find an LMS that would fit the needs of all 64 campuses, ((I understand that SUNY has since added a 65th campus)) ranging from small, rural community colleges to R1 universities to medical and ophthalmology schools to a school of fashion. We got pretty deep into thinking about the implementation details, so it’s been on my mind to write my own personal perspective on the answers to Tony’s questions, based in large part on that previous experience. In the meantime, Jim Groom, who has made a transition from working at a university to working full-time at Reclaim Hosting, has written a series of really provocative and, to me, exciting posts on the future of the digital learning environment from his own perspective. Jim shares the starting assumption of the ELI and SUNY that a learning environment should be “learner-centric,” but he has a much more fully developed (and more radical) idea of what that really means, based on his previous work with A Domain of One’s Own. He also, in contrast to the ELI and SUNY teams, does not start from the assumption that “next-generation” means evolving the LMS. Rather, the questions he seems to be asking are “What is minimum amount of technical infrastructure required to create a rich digital learning environment?” and “Of that minimal amount of infrastructure we need, what is the minimal amount that needs to be owned by the institution rather than the learner?” I see these trains of thought emerging his posts on a university API, a personal API, and a syndication bus. What’s exciting to me about these posts is that, even though Jim is starting from a very different set of assumptions, he is also converging on something like the vision we had for SUNY.

    In this post, I’m going to try to respond to both Tony and Jim. One of the challenges of this sort of conversation is that the relationship between the technical architecture and the possibilities it creates for the learners is complex. It’s easy to oversimplify or even conflate the two if we’re not very careful. So one of the things that I’m going to try to do here is untangle the technical talk from the functional talk.

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  • Is Higher Education Ready For Rapid Evolution of xMOOCs?

    Recently I wrote a post arguing that xMOOCs such as Coursera, edX and Udacity will likely evolve and that “while the current examples of massive online courses are interesting, the real potential of MOOCs will be revealed in future generations.”

    Today Antioch College announced that it is creating a new MOOC-for-credit partnership with Coursera. The key points as summarized by Tony Bates (via Inside Higher Ed article):

    This article reports on an interesting deal signed between Coursera and Antioch University. Antioch is a well-established private university with campuses in four different states, with around 4,000 mainly adult students. Under this deal:

    • Antioch University will pay Coursera for the rights to offer MOOCs from 33 universities for credit as part of its third year undergraduate program, focusing particularly on students transferring in from community colleges (the fourth year will be on campus)
    • Antioch will charge a lower tuition fee for these courses (closer to community college fee levels than public universities’)
    • Antioch will assign a faculty member to provide learner support for Antioch-registered students in each MOOC-based course, with about 20 students per instructor (as for on-campus classes)
    • Students will take an exam at the end of each course for credit from Antioch
    • Coursera will pay rights to the universities contributing MOOC courses to Antioch.

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