SOTAVerified

Knowledge Tracing

Knowledge Tracing is the task of modelling student knowledge over time so that we can accurately predict how students will perform on future interactions. Improvement on this task means that resources can be suggested to students based on their individual needs, and content which is predicted to be too easy or too hard can be skipped or delayed.

Source: Deep Knowledge Tracing

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 215 papers

TitleStatusHype
An Approach for Combining Multimodal Fusion and Neural Architecture Search Applied to Knowledge Tracing—0
Leveraging Skill-to-Skill Supervision for Knowledge Tracing—0
Learning states enhanced knowledge tracing: Simulating the diversity in real-world learning process—0
Deep Graph Memory Networks for Forgetting-Robust Knowledge Tracing—0
Analysis of Knowledge Tracing performance on synthesised student data—0
Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation—0
LLM-driven Effective Knowledge Tracing by Integrating Dual-channel Difficulty—0
Augmenting Interpretable Knowledge Tracing by Ability Attribute and Attention Mechanism—0
Deep Knowledge Tracing for Personalized Adaptive Learning at Historically Black Colleges and Universities—0
Deep Knowledge Tracing is an implicit dynamic multidimensional item response theory model—0
Deep Knowledge Tracing with Learning Curves—0
Deep Knowledge Tracing with Side Information—0
Language Model Can Do Knowledge Tracing: Simple but Effective Method to Integrate Language Model and Knowledge Tracing Task—0
DBE-KT22: A Knowledge Tracing Dataset Based on Online Student Evaluation—0
Learning Data Teaching Strategies Via Knowledge Tracing—0
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing—0
Knowledge Tracing in Programming Education Integrating Students' Questions—0
Knowledge Tracing in Sequential Learning of Inflected Vocabulary—0
AdvKT: An Adversarial Multi-Step Training Framework for Knowledge Tracing—0
From Prediction to Application: Language Model-based Code Knowledge Tracing with Domain Adaptive Pre-Training and Automatic Feedback System with Pedagogical Prompting for Comprehensive Programming Education—0
Knowledge Tracing Challenge: Optimal Activity Sequencing for Students—0
LSTM-SAKT: LSTM-Encoded SAKT-like Transformer for Knowledge Tracing—0
Fair Knowledge Tracing in Second Language Acquisition—0
Extending Deep Knowledge Tracing: Inferring Interpretable Knowledge and Predicting Post-System Performance—0
Interpreting Deep Knowledge Tracing Model on EdNet Dataset—0
Integrating LSTM and BERT for Long-Sequence Data Analysis in Intelligent Tutoring Systems—0
Exercise Hierarchical Feature Enhanced Knowledge Tracing—0
A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining—0
KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students—0
Equity and Fairness of Bayesian Knowledge Tracing—0
Consistency and Monotonicity Regularization for Neural Knowledge Tracing—0
A Review of Data Mining in Personalized Education: Current Trends and Future Prospects—0
Incremental Knowledge Tracing from Multiple Schools—0
Enhancing Deep Knowledge Tracing via Diffusion Models for Personalized Adaptive Learning—0
Advancing Personalized Learning Analysis via an Innovative Domain Knowledge Informed Attention-based Knowledge Tracing Method—0
Improving Question Embeddings with Cognitiv Representation Optimization for Knowledge Tracing—0
CogGen: A Learner-Centered Generative AI Architecture for Intelligent Tutoring with Programming Video—0
Imputing Knowledge Tracing Data with Subject-Based Training via LSTM Variational Autoencoders Frameworks—0
Integrating Attentional Factors and Spacing in Logistic Knowledge Tracing Models to Explore the Impact of Training Sequences on Category Learning—0
Explainable Knowledge Tracing Models for Big Data: Is Ensembling an Answer?—0
Knowledge Query Network: How Knowledge Interacts with Skills—0
Dynamic Knowledge embedding and tracing—0
A Probabilistic Generative Model for Tracking Multi-Knowledge Concept Mastery Probability—0
Feature Engineering for Second Language Acquisition Modeling—0
Dual-State Personalized Knowledge Tracing with Emotional Incorporation—0
CLUF: a Neural Model for Second Language Acquisition Modeling—0
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation—0
Do we need to go Deep? Knowledge Tracing with Big Data—0
A Survey of Explainable Knowledge Tracing—0
CLST: Cold-Start Mitigation in Knowledge Tracing by Aligning a Generative Language Model as a Students' Knowledge Tracer—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SAKTAcc70.73—Unverified
2SAINT+AUC0.79—Unverified
3SAINTAUC0.78—Unverified
4PEBG+DKTAUC0.78—Unverified
5PEBG+DKVMNAUC0.78—Unverified
6DKVMNAUC0.77—Unverified
7DKTAUC0.76—Unverified
8GIKTAUC0.75—Unverified
#ModelMetricClaimedVerifiedStatus
1DKTAUC0.86—Unverified
2BKTAUC0.67—Unverified