ArticleFrontiers in psychology2025
HTM-MDICE: a transformer-based model for predicting student engagement and ideological understanding in ethical education.
Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Tailoring individualized learning experiences depends on predicting student involvement and ideological awareness in ethical education, which is still difficult given educational data sets' complexity and class imbalance. HTM-MDICE, a new Transformer-based model meant to solve these issues by using hierarchical temporal modeling on a multi-modal ethical dataset of 68,200 scenarios, 1,000,000 numerical data points, and 500,000 behavioral logs, is presented in this paper. HTM-MDICE, utilizing a thorough evaluation framework, obtained a validation accuracy of 97.5%, an F1-score of 0.96, and an MAE of 0.12 with an early stopping patience of 5, therefore greatly outperforming four previous techniques-BSA-ANN, Decision Tree, BPNN, Petri Nets 10.5% in accuracy (
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