most citedEvaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs

6 citations · 7 across the 5 of their papers we have counts for

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cs.LG2022

RIPPLE: Concept-Based Interpretation for Raw Time Series Models in Education

Mohammad Asadi, Vinitra Swamy, Jibril Frej +3

Time series is the most prevalent form of input data for educational prediction tasks. The vast majority of research using time series data focuses on hand-crafted features, design…

cs.LG2022★ 6 cited

Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs

Vinitra Swamy, Bahar Radmehr, Natasa Krco +2

Neural networks are ubiquitous in applied machine learning for education. Their pervasive success in predictive performance comes alongside a severe weakness, the lack of explainab…