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Mathematics Education

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Mathematics Education

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Research Frontiers in Artificial Intelligence Adaptive Tutoring Systems

Designs and investigates AI-powered personalized learning systems that dynamically adjust mathematics instruction based on student performance.

Cognitive Load Dynamics in Personalized Mathematical Pathways
Epistemological Shifts: When AI Reframes Mathematical Understanding
Affect Recognition and Resilience Scaffolding in Adaptive Tutors
Proof Construction: AI Guidance at the Frontier of Rigor
Implicit Misconception Detection Beyond Surface-Level Errors
Transfer Learning Across Mathematical Domains and Representations
Real-Time Pedagogical Decision-Making Under Uncertainty
Multimodal Reasoning: Gesture, Notation, and Mathematical Discourse
Equity Emergence in Adaptive Systems: Algorithmic Bias and Access
Metacognitive Scaffolding Through AI-Driven Self-Regulation

All Mathematics Education PhD categories