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Found 2 papers, 1 papers with code
Finding Paths for Explainable MOOC Recommendation: A Learner Perspective
In this work, we propose an explainable recommendation system for MOOCs that uses graph reasoning.
Kappa Learning: A New Method for Measuring Similarity Between Educational Items Using Performance Data
Standard methods that map items into KCs using item-similarity measures make the implicit assumption that students performance on items that depend on the same skill should be similar.
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