knowledge tracing

Difficulty-Focused Contrastive Learning for Knowledge Tracing with a Large Language Model-Based Difficulty Prediction COLING 2024 Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach AAAI 2024 Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases IJCAI 2024 Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration EMNLP 2024 Error Tracing in Programming: A Path to Personalised Feedback NAACL 2024 FASTTRACK: Reliable Fact Tracing via Clustering and LLM-Powered Evidence Validation EMNLP 2024 KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students EMNLP 2024 Predictive, scalable and interpretable knowledge tracing on structured domains ICLR 2024 Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems AAAI 2024 Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation NeurIPS 2024 Adaptive and Personalized Exercise Generation for Online Language Learning ACL 2023 BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning AAAI 2023 Deep Attentive Model for Knowledge Tracing AAAI 2023 Enhancing Video-based Learning Using Knowledge Tracing: Personalizing Students’ Learning Experience with ORBITS ACL 2023 Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing NeurIPS 2023 Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations AAAI 2023 PTADisc: A Cross-Course Dataset Supporting Personalized Learning in Cold-Start Scenarios NeurIPS 2023 Self-Supervised Graph Learning for Long-Tailed Cognitive Diagnosis AAAI 2023 Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation AAAI 2023 simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing ICLR 2023 XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information NeurIPS 2023 GRAM: Fast Fine-tuning of Pre-trained Language Models for Content-based Collaborative Filtering NAACL 2022 How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis ACL 2022 Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations AAAI 2022 No Task Left Behind: Multi-Task Learning of Knowledge Tracing and Option Tracing for Better Student Assessment AAAI 2022