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 126–150 of 215 papers

TitleStatusHype
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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All datasetsEdNetAssistments

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