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I strongly believe that behavioral data such as attendance and timeliness of completing tasks such as homework have no place in computing students' final course grades. But... what if that data could be leveraged into a predictive model? 1/3Permalink On twitter.com
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Final grades could still be a function only of the learning outcomes a student has demonstrated understanding of at the semester's end. But attendance/HW could be used during the semester to predict those grades. 2/3Permalink On twitter.com
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Would providing students ongoing projections of their final grades, e.g. 10% chance A, 30% chance B, 40% chance C, etc., that takes behavioral data into account help incentivize them to do the "right" things, even when this data is ignored at the end of the semester? 3/3On twitter.com
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N.B. I'm sure these sorts of analytics exist in certain LMSs or course-specific applications, but I'm thinking mainly in the @MasteryGrading context where final grades are determined only on certain specifications that generally focus on learning rather than behavior. 1.333...Permalink On twitter.com
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Asking for a friend who wants to build grace into his course assessment structure, but also wants to encourage students to rely on as little of it as possible, for their own benefit. 1.666...Permalink On twitter.com