Can a System-One LLM Perform Knowledge Tracing When Few or No Learners Are Logged?

arXiv:2610.11135 · cs.CL, cs.CY, cs.LG · Submitted 2026-10-08 · Read on arXiv

cs.CL, cs.CY, cs.LG

Submitted: 2026-10-08

Updated: 2026-10-08

Terminology

• AUC — 79× in this paper · explained in 2 episodes
• Accuracy — 11× in this paper · explained in 1 episode
• Calibration — 9× in this paper · explained in 7 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Core — 4× in this paper · explained in 2 episodes
• Knowledge Tracing Models — 4× in this paper · explained in 2 episodes
• Trace — 4× in this paper · explained in 2 episodes
• Reasoning Traces — 3× in this paper · explained in 3 episodes
• International Conference on Educational Data Mining — 2× in this paper
• Ablation — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Adversarial Training — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• In International Conference on Learning Representations — 1× in this paper
• International Conference on World Wide Web — 1× in this paper
• Interpretability — 1× in this paper · explained in 15 episodes
• Longitudinal Data — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Self-consistency — 1× in this paper · explained in 2 episodes
• Sparse Attention — 1× in this paper · explained in 5 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• DBE-KT22: A Knowledge Tracing Dataset Based on Online Student Evaluation
• MAML-KT: Addressing Cold Start Problem in Knowledge Tracing for New Students via Few-Shot Model-Agnostic Meta Learning
• Language Models (Mostly) Know What They Know
• Not All Options Are Created Equal: Textual Option Weighting for Token-Efficient LLM-Based Knowledge Tracing
• A Training-Free Large Reasoning Model-based Knowledge Tracing Framework for Unified Prediction and Prescription
• MERIT: Memory-Enhanced Retrieval for Interpretable Knowledge Tracing
• qDKT: Question-centric Deep Knowledge Tracing
• Instructions and Guide for Diagnostic Questions: The NeurIPS 2020 Education Challenge
• FoundationalASSIST: An Educational Dataset for Foundational Knowledge Tracing and Pedagogical Grounding of LLMs
• Domain Generalizable Knowledge Tracing via Concept Aggregation and Relation-Based Attention

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