You are invited to attend the first Fall 2025 seminar of the SMST seminar series delivered by the esteemed Professor Roger Azevedo.
Azevedo will be talking about Modeling and Simulating Human Learning: AI-Driven Approaches to Metacognition, Self-Regulation and Multimodal Data in Advanced Training Environments
The rapid convergence of artificial intelligence (AI), multimodal data analytics, and advanced learning technologies offers unprecedented opportunities to model, foster, and enhance metacognition and self-regulated learning (SRL). In this talk, Azevedo will present a research agenda that leverages modeling and simulation methods to capture and analyze learners’ cognitive, metacognitive, motivational and affective processes across immersive environments— ranging from intelligent tutoring systems to virtual, augmented training environments.
He will discuss how AI-powered pedagogical agents, human digital twins and simulated learners can scaffold SRL processes such as planning, monitoring, and reflection while using multimodal multichannel data streams (eye-tracking, physiological signals, facial expressions, log files, natural language).
He will also showcase how simulation-based training can be enhanced by modeling individual differences, team dynamics, and adaptive scaffolding (such as providing personalized feedback or adjusting the difficulty level of tasks) to improve decision-making, problem-solving, and transfer of learning in complex STEM and biomedical domains.
Finally, he will underscore the potential of AI-augmented learning to revolutionize education, and the opportunities it presents for building the next generation of learning and training systems.
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