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 1–50 of 215 papers

TitleStatusHype
Personalized Exercise Recommendation with Semantically-Grounded Knowledge TracingCode0
CogGen: A Learner-Centered Generative AI Architecture for Intelligent Tutoring with Programming Video—0
A Hierarchical Probabilistic Framework for Incremental Knowledge Tracing in Classroom SettingsCode0
Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor—0
Hierarchical Bayesian Knowledge Tracing in Undergraduate Engineering Education—0
Cuff-KT: Tackling Learners' Real-time Learning Pattern Adjustment via Tuning-Free Knowledge State Guided Model UpdatingCode0
KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge TracingCode1
Pedagogy-R1: Pedagogically-Aligned Reasoning Model with Balanced Educational Benchmark—0
Personalized Student Knowledge Modeling for Future Learning Resource PredictionCode0
Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge TransferCode0
Survey of Loss Augmented Knowledge Tracing—0
RouterKT: Mixture-of-Experts for Knowledge TracingCode0
AdvKT: An Adversarial Multi-Step Training Framework for Knowledge Tracing—0
Improving Question Embeddings with Cognitiv Representation Optimization for Knowledge Tracing—0
UniEDU: A Unified Language and Vision Assistant for Education Applications—0
Disentangled Knowledge Tracing for Alleviating Cognitive BiasCode1
LLM-driven Effective Knowledge Tracing by Integrating Dual-channel Difficulty—0
Automated Knowledge Component Generation and Knowledge Tracing for Coding ProblemsCode0
Training Turn-by-Turn Verifiers for Dialogue Tutoring Agents: The Curious Case of LLMs as Your Coding TutorsCode2
AAKT: Enhancing Knowledge Tracing with Alternate Autoregressive ModelingCode0
Revisiting Applicable and Comprehensive Knowledge Tracing in Large-Scale DataCode0
Knowledge Tracing in Programming Education Integrating Students' Questions—0
TutorLLM: Customizing Learning Recommendations with Knowledge Tracing and Retrieval-Augmented Generation—0
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing—0
Tracking student skills real-time through a continuous-variable dynamic Bayesian network—0
Sparse Binary Representation Learning for Knowledge Tracing—0
Advancing Personalized Learning Analysis via an Innovative Domain Knowledge Informed Attention-based Knowledge Tracing Method—0
Uncertainty-aware Knowledge TracingCode1
Learning states enhanced knowledge tracing: Simulating the diversity in real-world learning process—0
Fair Knowledge Tracing in Second Language Acquisition—0
Not All Options Are Created Equal: Textual Option Weighting for Token-Efficient LLM-Based Knowledge Tracing—0
Deep Knowledge Tracing for Personalized Adaptive Learning at Historically Black Colleges and Universities—0
Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge TracingCode0
Using Large Multimodal Models to Extract Knowledge Components for Knowledge Tracing from Multimedia Question InformationCode0
Test Case-Informed Knowledge Tracing for Open-ended Coding TasksCode0
Learning to Love Edge Cases in Formative Math Assessment: Using the AMMORE Dataset and Chain-of-Thought Prompting to Improve Grading Accuracy—0
Exploring Knowledge Tracing in Tutor-Student Dialogues using LLMsCode1
Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AICode0
Temporal Graph Memory Networks For Knowledge Tracing—0
Personalized Knowledge Tracing through Student Representation Reconstruction and Class Imbalance Mitigation—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
Enhancing Knowledge Tracing with Concept Map and Response DisentanglementCode1
Hierarchical Multi-Armed Bandits for the Concurrent Intelligent Tutoring of Concepts and Problems of Varying Difficulty LevelsCode0
DyGKT: Dynamic Graph Learning for Knowledge TracingCode1
Towards Robust Knowledge Tracing Models via k-Sparse AttentionCode0
Uncertainty-preserving deep knowledge tracing with state-space models—0
Domain Generalizable Knowledge Tracing via Concept Aggregation and Relation-Based Attention—0
SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language ModelCode1
Integrating Attentional Factors and Spacing in Logistic Knowledge Tracing Models to Explore the Impact of Training Sequences on Category Learning—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