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 131140 of 215 papers

TitleStatusHype
GPT-based Open-Ended Knowledge TracingCode1
Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing0
Knowledge Tracing: A Survey0
Incremental Knowledge Tracing from Multiple Schools0
Empirical Evaluation of Deep Learning Models for Knowledge Tracing: Of Hyperparameters and Metrics on Performance and Replicability0
Masked Deep Q-Recommender for Effective Question Scheduling0
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal RelationsCode1
Programming Knowledge Tracing: A Comprehensive Dataset and A New Model0
Learning Data Teaching Strategies Via Knowledge Tracing0
An Approach for Combining Multimodal Fusion and Neural Architecture Search Applied to Knowledge Tracing0
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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