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
Counterfactual Monotonic Knowledge Tracing for Assessing Students' Dynamic Mastery of Knowledge ConceptsCode0
Leveraging Skill-to-Skill Supervision for Knowledge Tracing—0
Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation—0
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation—0
A Conceptual Model for End-to-End Causal Discovery in Knowledge TracingCode0
Adaptive Learning Path Navigation Based on Knowledge Tracing and Reinforcement Learning—0
Multi-granulariy Time-based Transformer for Knowledge Tracing—0
Knowledge Relation Rank Enhanced Heterogeneous Learning Interaction Modeling for Neural Graph Forgetting Knowledge TracingCode0
Attentive Q-Matrix Learning for Knowledge TracingCode0
Quiz-based Knowledge Tracing—0
Reinforcement Learning Guided Multi-Objective Exam Paper GenerationCode0
Imputing Knowledge Tracing Data with Subject-Based Training via LSTM Variational Autoencoders Frameworks—0
A Probabilistic Generative Model for Tracking Multi-Knowledge Concept Mastery Probability—0
DKT-STDRL: Spatial and Temporal Representation Learning Enhanced Deep Knowledge Tracing for Learning Performance Prediction—0
Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations—0
Enhancing Deep Knowledge Tracing with Auxiliary Tasks—0
simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing—0
Augmenting Interpretable Knowledge Tracing by Ability Attribute and Attention Mechanism—0
Transition-Aware Multi-Activity Knowledge TracingCode0
HiTSKT: A Hierarchical Transformer Model for Session-Aware Knowledge TracingCode0
Differentiating Student Feedbacks for Knowledge Tracing—0
Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics—0
DAGKT: Difficulty and Attempts Boosted Graph-based Knowledge TracingCode0
SAICL: Student Modelling with Interaction-level Auxiliary Contrastive Tasks for Knowledge Tracing and Dropout Prediction—0
Knowledge Tracing for Complex Problem Solving: Granular Rank-Based Tensor FactorizationCode0
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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