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

Showing 91100 of 215 papers

TitleStatusHype
Leveraging Skill-to-Skill Supervision for Knowledge Tracing0
Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation0
Adaptive and Personalized Exercise Generation for Online Language LearningCode1
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation0
A Conceptual Model for End-to-End Causal Discovery in Knowledge TracingCode0
Adaptive Learning Path Navigation Based on Knowledge Tracing and Reinforcement Learning0
Tracing Knowledge Instead of Paterns: Stable Knowledge Tracing with Diagnostic TransformerCode1
Multi-granulariy Time-based Transformer for Knowledge Tracing0
Knowledge Relation Rank Enhanced Heterogeneous Learning Interaction Modeling for Neural Graph Forgetting Knowledge TracingCode0
Attentive Q-Matrix Learning for Knowledge TracingCode0
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Benchmark Results

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