"What data and analytics should be presented directly to students?" This is the question posed by Niall Sclater in his review of a JISC workshop in London a month ago. The group was prompted with suggestions related to information provision (progress, engagement, exam times) and prompts for action (reminders, prompts, uploads). The result is a long list of possible types of analytic information to be presented to students (not sorted by preference or anything, and you'd need a different group to do that). So is it anything a reasonably informed person could have come up with on their own? Well, no. Is it important to go through the process? Yes. From the same author: a taxonomy of ethical, legal and logistical issues of learning analytics
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