The chapter synthesizes the history of adaptive learning systems and examines how AI can provide instructional intelligence and real-time adaptivity in serious games while highlighting challenges such as explainability and limited long-term outcome data.
Learning Analytics: Drivers, Developments and Chal- lenges
2 Pith papers cite this work. Polarity classification is still indexing.
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Simulated AI tutor data shows early interaction patterns predict later performance and trust, with distinct behavioral-cognitive learner profiles identifiable via clustering.
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AI-Enabled Serious Games: Integrating Intelligence and Adaptivity in Training Systems
The chapter synthesizes the history of adaptive learning systems and examines how AI can provide instructional intelligence and real-time adaptivity in serious games while highlighting challenges such as explainability and limited long-term outcome data.
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Decoding AI Tutor Effects for Educational Measurement: Temporal, Multi-Outcome, and Behavior-Cognitive Analysis
Simulated AI tutor data shows early interaction patterns predict later performance and trust, with distinct behavioral-cognitive learner profiles identifiable via clustering.