AAMLA aligns multimodal student data using affinity matrices and contrastive learning to predict collaboration satisfaction in game-based learning despite modality degradation.
Gifted students’ learning experiences in systematic game development pro- cess in after-school activities.Educational Technology Re- search and Development, 68:1439–1459
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Cross-modal Affinity-aligned Multimodal Learning Analytics for Predicting Student Collaboration Satisfaction in Game-Based Learning
AAMLA aligns multimodal student data using affinity matrices and contrastive learning to predict collaboration satisfaction in game-based learning despite modality degradation.