Incorporating Cognitive Load and Knowledge Transfer for Multi-Domain Knowledge Tracing

arXiv:2608.24005 · cs.AI · Submitted 2026-08-25 · Read on arXiv

cs.AI

Submitted: 2026-08-25

Updated: 2026-08-25

Code: https://github.com/sosweetzhang/LT-MKT

Terminology

• Knowledge Tracing — 68× in this paper
• Cognitive Load — 56× in this paper · explained in 2 episodes
• AUC — 10× in this paper · explained in 2 episodes
• Multi-domain Hierarchical Graph — 9× in this paper
• Graph Construction — 6× in this paper · explained in 3 episodes
• Deep Knowledge Tracing — 5× in this paper
• Large Language Models (LLMs) — 4× in this paper · explained in 6 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Activation Function — 3× in this paper · explained in 1 episode
• Generalization — 3× in this paper · explained in 13 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• Intelligent Tutoring System — 2× in this paper
• Interpretability — 2× in this paper · explained in 15 episodes
• Semantic Understanding — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Annotator Agreement — 1× in this paper · explained in 1 episode
• Area Under the ROC Curve — 1× in this paper
• Attention Mechanism — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Educational Rationality — 1× in this paper
• Embeddings — 1× in this paper · explained in 2 episodes
• Gated Recurrent Unit — 1× in this paper
• Generative AI — 1× in this paper · explained in 2 episodes
• Heterogeneous Graph — 1× in this paper · explained in 2 episodes
• Knowledge Tracing Models — 1× in this paper · explained in 2 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Optimal Transport — 1× in this paper · explained in 5 episodes
• Procedural Knowledge — 1× in this paper · explained in 2 episodes
• RAG — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Structural Reasoning — 1× in this paper · explained in 2 episodes

Sources

• GPT-4 Technical Report
• Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
• Difficulty-Focused Contrastive Learning for Knowledge Tracing with a Large Language Model-Based Difficulty Prediction
• Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation
• PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments
• UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
• A Self-Attentive model for Knowledge Tracing
• HGKT: Introducing Hierarchical Exercise Graph for Knowledge Tracing
• Large Language Models for Education: A Survey and Outlook

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