AAMLA aligns multimodal student data using affinity matrices and contrastive learning to predict collaboration satisfaction in game-based learning despite modality degradation.
Utilizing interactive surfaces to enhance learning, collabo- ration and engagement: Insights from learners’ gaze and speech.Sensors, 20(7):1964
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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.