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🎓 Adaptive Learning Engine: Knowledge Graph Mastery Simulator

Watch an AI tutoring engine navigate a knowledge graph of skills, picking each learner's next lesson with Bayesian Knowledge Tracing so difficulty always sits in the zone of proximal development. Compare adaptive sequencing against random ordering.

AI & Machine Learning3DModerate60 FPS

Details

CategoryAI & Machine Learning

RenderingThree.js · WebGL

DifficultyModerate

Target FPS60

ControlsSkill-nodes slider (15-60) regenerates the prerequisite graph; learning-rate slider sets the BKT transit probability p(transit) governing how fast mastery advances per attempt; target-success slider (50-90%) sets the proximal-zone success probability the AI mentor aims each pick at; attempt-pace slider speeds up or slows down the learner's movement/attempt cycle; mode toggle switches the picking policy between Adaptive AI (proximal-zone targeting) and Random order among unlocked skills.

Three.jsAIpersonalized learningknowledge graphBayesian Knowledge Tracingmastery learningInstancedMesh

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⚙ Under the hood

Watch an AI tutoring engine navigate a prerequisite knowledge graph, picking each learner's next lesson with Bayesian Knowledge Tracing so difficulty always sits in the zone of proximal development. Compare adaptive sequencing against random ordering and watch the graph turn from grey to gold as mastery converges.

Three.jsAIpersonalized learningknowledge graphBayesian Knowledge Tracingmastery learningInstancedMesh

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install