Learning analytics and magic beans
Colin Beer,
Col's Weblog,
Mar 01, 2018
Colin Beer describes "two broad trajectories that universities tend to take when implementing learning analytics." The first is "focused on measurement and broader performativity precepts and retention interventions." The second, which he says is at odds with the first, emphasizes learning, and recognizes "that retention is consequential to broader teaching, learning and engagement experiences for students." This is brought into focus by looking at the problem of student attrition. Beer writes, "Student attrition is only rarely caused by a single problem that an external agency like a university can assist with." So prediction isn't really a strength of predictive analytics, at least, not unless the prediction is being made within a closed system.
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