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

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Showing 101–150 of 215 papers

TitleStatusHype
Reinforcement Learning Guided Multi-Objective Exam Paper GenerationCode0
Revisiting Applicable and Comprehensive Knowledge Tracing in Large-Scale DataCode0
RouterKT: Mixture-of-Experts for Knowledge TracingCode0
simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge TracingCode0
Systematic Review of Approaches to Improve Peer Assessment at ScaleCode0
Temporal Cross-Effects in Knowledge TracingCode0
Test Case-Informed Knowledge Tracing for Open-ended Coding TasksCode0
Towards Modeling Learner Performance with Large Language ModelsCode0
Towards Robust Knowledge Tracing Models via k-Sparse AttentionCode0
Transition-Aware Multi-Activity Knowledge TracingCode0
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational ResourcesCode0
Using Large Multimodal Models to Extract Knowledge Components for Knowledge Tracing from Multimedia Question InformationCode0
Knowledge Tracing with Sequential Key-Value Memory NetworksCode0
Integrating Attentional Factors and Spacing in Logistic Knowledge Tracing Models to Explore the Impact of Training Sequences on Category Learning—0
Integrating LSTM and BERT for Long-Sequence Data Analysis in Intelligent Tutoring Systems—0
Deep Knowledge Tracing is an implicit dynamic multidimensional item response theory model—0
An Approach for Combining Multimodal Fusion and Neural Architecture Search Applied to Knowledge Tracing—0
Sparse Binary Representation Learning for Knowledge Tracing—0
Interpreting Deep Knowledge Tracing Model on EdNet Dataset—0
KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students—0
Survey of Loss Augmented Knowledge Tracing—0
Knowledge Query Network: How Knowledge Interacts with Skills—0
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation—0
Knowledge Tracing: A Survey—0
Knowledge Tracing Challenge: Optimal Activity Sequencing for Students—0
TutorLLM: Customizing Learning Recommendations with Knowledge Tracing and Retrieval-Augmented Generation—0
Knowledge Tracing in Programming Education Integrating Students' Questions—0
Knowledge Tracing in Sequential Learning of Inflected Vocabulary—0
Temporal Graph Memory Networks For Knowledge Tracing—0
Deep Knowledge Tracing for Personalized Adaptive Learning at Historically Black Colleges and Universities—0
A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining—0
Deep Graph Memory Networks for Forgetting-Robust Knowledge Tracing—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
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing—0
Learning Data Teaching Strategies Via Knowledge Tracing—0
Consistency and Monotonicity Regularization for Neural Knowledge Tracing—0
Learning states enhanced knowledge tracing: Simulating the diversity in real-world learning process—0
Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation—0
Learning to Love Edge Cases in Formative Math Assessment: Using the AMMORE Dataset and Chain-of-Thought Prompting to Improve Grading Accuracy—0
Time-varying Learning and Content Analytics via Sparse Factor Analysis—0
Leveraging Skill-to-Skill Supervision for Knowledge Tracing—0
LLM-driven Effective Knowledge Tracing by Integrating Dual-channel Difficulty—0
LSTM-SAKT: LSTM-Encoded SAKT-like Transformer for Knowledge Tracing—0
Mamba4KT:An Efficient and Effective Mamba-based Knowledge Tracing Model—0
Masked Deep Q-Recommender for Effective Question Scheduling—0
CogGen: A Learner-Centered Generative AI Architecture for Intelligent Tutoring with Programming Video—0
Deep Trustworthy Knowledge Tracing—0
CLUF: a Neural Model for Second Language Acquisition Modeling—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