AAMLA aligns multimodal student data using affinity matrices and contrastive learning to predict collaboration satisfaction in game-based learning despite modality degradation.
Towards collaborative convergence: quantifying collaboration quality with auto- mated co-located collaboration analytics
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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.