e-Literate

Present is Prologue

Tag: Apollo Group

  • Exclusive: University of Phoenix moving from homegrown platform to Blackboard Learn Ultra

    The University of Phoenix has a history of using its scale to develop and rely on homegrown platforms, including the  adaptive learning platform branded as “Classroom”. I wrote about this investment in 2013.

    The full significance of the University of Phoenix bet on adaptive learning platforms goes beyond pure dollars and became clear when the school announced the closure of 115 of its 240 locations. The stated usage of the savings from campus closures is primarily to further invest in the platform as described by the Phoenix Business Journal.

    In early 2015 the University of Phoenix experienced “significant disruption with respect to our new online classroom platform”. By summer, the university’s parent company The Apollo Group announced to investors that it planned “to move away from certain proprietary and legacy IT systems”. CEO Greg Cappelli further described these changes in broad terms in the most recent earnings call. (more…)

  • The Quotable Justin Reich: MOOC research needs to reboot

    Thanks to Audrey Watters I just read a new article in Science Magazine and publicly posted here by Justin Reich, the lead researcher for HarvardX (Harvard’s implementation of edX and associated research team) ((Note that Science Magazine access requires a subscription or purchase or individual article.)). Justin calls out the limitations of current MOOC research that focuses on A/B testing and engagement instead of learning, single-course context, and post hoc analysis with proper course design. While praising the field for making available cleansed data for any type of analysis, his core argument is that we need new approaches that cannot be solved just by research teams.
    Update: Added link to publicly-available DOCX article.

    While the whole article is worth reading, there are quite a few insightful quotes should get past the journal paywall.

    • Big data sets do not, by virtue of their size, inherently possess answers to interesting questions.
    • We have terabytes of data about what students clicked and very little understanding of what changed in their heads.
    • It does not require trillions of event logs to demonstrate that effort is correlated with achievement.

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  • No, I don’t believe that Harvard or MIT are hiding edX data

    Since my Sunday post What Harvard and MIT could learn from the University of Phoenix about analytics, there have been a few comments with a common theme about Harvard and MIT perhaps withholding any learner-centered analytics data. As a recap, my argument was:

    Beyond data aggregated over the entire course, the Harvard and MIT edX data provides no insight into learner patterns of behavior over time. Did the discussion forum posts increase or decrease over time, did video access change over time, etc? We don’t know. There is some insight we could obtain by looking at the last transaction event and number of chapters accessed, but the insight would be limited. But learner patterns of behavior can provide real insights, and it is here where the University of Phoenix (UoP) could teach Harvard and MIT some lessons on analytics.

    Some of the comments that are worth addressing:

    “Non-aggregated microdata (or a “person-click” dataset, see http://blogs.edweek.org/edweek/edtechresearcher/2013/06/the_person-click_dataset.html ) are much harder (impossible?) to de-identify. So you are being unfair in comparing this public release of data with internal data analytic efforts.”

    “Agreed. The part I don’t understand is how they still don’t realize how useless this all is. Unless they are collecting better data, but just not sharing it openly, hogging it to themselves until it ‘looks good enough for marketing’ or something.”

    “The edX initiative likely has event-level data to analyze. I don’t blame them for not wanting to share that with the world for free though. That would be a very valuable dataset.”

    The common theme seems to be that there must be learner-centered data over time, but Harvard and MIT chose not to release this data either due to privacy or selfish reasons. This is a valid question to raise, but I see no evidence to back up these suppositions.

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  • What Harvard and MIT could learn from the University of Phoenix about analytics

    Last week Harvard and MIT released de-identified data from their edX-based MOOCs. Rather than just produce a summary report, the intent of this release was to open up the data and share it publicly. While it is good to see this approach to Open Data, unfortunately the data set is of limited value, and it actually illustrates a key problem with analytics in higher ed. From MIT News description:

    A research team from Harvard University and MIT has released its third and final promised deliverable — the de-identified learning data — relating to an initial study of online learning based on each institution’s first-year courses on the edX platform.

    Specifically, the dataset contains the original learning data from the 16 HarvardX and MITx courses offered in 2012-13 that formed the basis of the first HarvardX and MITx working papers (released in January) and underpin a suite of powerful open-source interactive visualization tools (released in February).

    At first I was eager to explore the data, but I am not sure how much useful insight is possible due to how the data was collected. The data is structured with one student per row for each course they took (taking multiple courses would lead to multiple rows of data). The data columns (pulled from the Person Course Documentation file) are shown below:

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