Knowledge tracing — modeling what learners know over time — is the wiki's richest modeling thread: stanbkt-bayesian-knowledge-tracing, mbp-kt-meta-behavioral-knowledge-tracing, neural-symbolic-knowledge-tracing, explainable-probabilistic-kt, and difficulty-aware-dialogue-kt advance Bayesian, deep, and hybrid models, now enhanced by LLMs (student-modeling, educational-measurement).
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📎 13 other pages tagged knowledge-tracing
- Automated Recommendation of Programming Learning Content Using Pattern-based Knowledge Components
- Benchmarking Large Language Models for Diagnosing Students' Cognitive Skills from Handwritten Math Work
- Detecting Knowledge Gaps from Conversational AI Interactions Using Curriculum Prerequisite Graphs
- Ensuring Reliability in Programming Knowledge Tracing: A Re-evaluation of Attention-augmented Models and Experimental Protocols
- Estimating Learners' Skill Acquisition Without Temporal Information
- Explainable Knowledge Tracing via Probabilistic Embeddings and Pattern-based Reasoning
- Interpretable Difficulty-Aware Knowledge Tracing in Tutor-Student Dialogues
- Interpretable Knowledge Tracing
- MBP-KT: Learning Global Collaborative Information from Meta-Behavioral Pattern for Enhanced Knowledge Tracing
- Quantum Education Intelligent Tutoring
- Reexamining the Cold-Start Problem in Knowledge Tracing Models and Implications for SafeInsights
- Reinforcement Learning Measurement Model
- Temporal Smoothness Doubly Robust Learning for Debiased Knowledge Tracing