David Wiley describes how learning analytics are being used to augment open educational resources. "I frequently describe openness and analytics as chocolate and peanut butter," he writes. "Both are tasty individually, but together their synergy is truly remarkable." In this article he summarizes the work by Khan Academy to integrate work researched at Carnegie Mellon. David Hu describes the process: "Conversations with the team led me to conceive of applying machine learning to predict the likelihood of getting the next problem correct, and use that as the basis for a new proficiency model. Basically, if we think you’re more than $t$% likely to get the next problem correct, for some threshold $t$, we’ll say you’re proficient" (note the long comment thread following this post). As Wiley summarizes, "Next generation OER, or whatever you want to call it, is not just about publication. It’s about continuous improvement – that little bundle of philosophies and approaches that has revolutionized just about every large-scale field of endeavor besides education."
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