AI-powered multimodal approaches tracking emotional and physiological responses increase student engagement and motivation in collaborative learning¶

Claim · All claims
Evidence · 1 study · review r2 · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Multimodal AI approaches using emotional and physiological monitoring have been shown to increase student engagement and motivation in collaborative learning environments. → Kovari 2025

Evidence¶

Kovari 2025¶

Kovari, A. (2025). A systematic review of AI-powered collaborative learning in higher education: Trends and outcomes from the last decade. Social Sciences & Humanities Open, 11, 101335. https://doi.org/10.1016/j.ssaho.2025.101335

q2 · i? · review · r2

The review's discussion of its first research question reports that sensors and AI algorithms tracking emotional and physiological responses (heart rate, facial expressions, electrodermal activity) give instructors real-time insight into engagement. No effect sizes are printed.

"Multimodal approaches using artificial intelligence and emotional and physiological monitoring have recently been shown to increase student engagement and motivation."

Discussion¶

Related Claims¶

• A 2025 systematic review reports that AI tools raising social presence and emotional engagement may improve AI-supported collaborative learning outcomes — related
• AIOL research shows increasing emphasis on multimodal data integration for emotion recognition and personalized learning support — related
• Adult learners expect AI to foster involvement by sparking questions, tapping interests, and providing continuous feedback and effort acknowledgment — related
• Certain multimodal data combinations improve predictive model performance, with audio plus eye-tracking data most effective in one K–8 study — related
• Facial features of negative emotions predict low rapport, but additional modalities added no predictive power — related
• Increased physiological arousal and higher physiological synchrony relate to more monitoring with negative valence — related