Workshop
Multimodal Affect in AI for Education: Design, Application, and Ethical Implications
Sat Jun 27, 1:00 PM–6:00 PM · COEX Room 325
Affect & Engagement Detection Multimodal Learning Analytics Ethics, Governance & Responsible AI Learner & Student Modeling
★ Notable speakers
Roger Azevedo
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— Self-regulated learning; metacognition; intelligent learning environments; multimodal data in education
Susanne Lajoie.
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— Intelligent tutoring systems; self-regulated learning; metacognition; ATLAS Lab at McGill
Andy Nguyen
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— AI in education; collaborative learning; multimodal data analytics; hybrid intelligence
The Multimodal Affect in AI for Education (MAAI4Ed) workshop explores the critical intersection of artificial intelligence, emotional intelligence, and learning sciences. It focuses on leveraging multimodal data to detect and interpret learner affective states in real-time. Moving beyond simple detection, the workshop emphasizes the design of affect-aware AI systems that actively scaffold emotional regulation and promote learner well-being. By bringing together researchers and practitioners, the session aims to advance ethically responsible and inclusive AI interventions that treat emotion as a central component of the educational experience.
Speakers
- Xiaoshan Huang — McGill University
- Andy Nguyen
- Jie Gao — McGill University
- Haolun Wu
- Yimeng Wang
- Tony Ahn
- Tiantian Jin
- Susanne Lajoie.
- Roger Azevedo