AI RESEARCH
Evaluating Adaptive Personalization of Educational Readings with Simulated Learners
arXiv CS.CL
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ArXi:2604.16744v1 Announce Type: new We present a framework for evaluating adaptive personalization of educational reading materials with theory-grounded simulated learners. The system builds a learning-objective and knowledge-component ontology from open textbooks, curates it in a browser-based Ontology Atlas, labels textbook chunks with ontology entities, and generates aligned reading-assessment pairs.