Individualized help for at-risk students using model-agnostic and counterfactual explanations
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DOI: 10.1007/s10639-021-10661-6
Abstract: Although using machine learning for predicting which students are at risk of failing a course is indeed valuable, how can we identify which characteristics of individual students contribute to their being At-Risk? By characterising individual… read more here.
Keywords: agnostic counterfactual; risk; risk students; model agnostic ... See more keywords