An XGBoost-based ITS with a three-layer interpretable feedback architecture uses multimodal features from 10,360 MOOC video segments to score seven BARS dimensions and produces measurable skill gains in a 204-learner 30-day study.
Comparing the Pearson and Spearman correlation coefficients across distributions and sample sizes: A tutorial using simulations and empirical data,
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An Interpretable Closed-Loop Intelligent Tutoring System for Multimodal Affective Feedback in Asynchronous Presentation Training
An XGBoost-based ITS with a three-layer interpretable feedback architecture uses multimodal features from 10,360 MOOC video segments to score seven BARS dimensions and produces measurable skill gains in a 204-learner 30-day study.