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

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Showing 126–150 of 215 papers

TitleStatusHype
Code-DKT: A Code-based Knowledge Tracing Model for Programming TasksCode1
Equity and Fairness of Bayesian Knowledge Tracing—0
Contrastive Learning for Knowledge TracingCode1
No Task Left Behind: Multi-Task Learning of Knowledge Tracing and Option Tracing for Better Student Assessment—0
GRAM: Fast Fine-tuning of Pre-trained Language Models for Content-based Collaborative FilteringCode1
GPT-based Open-Ended Knowledge TracingCode1
Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing—0
Knowledge Tracing: A Survey—0
Incremental Knowledge Tracing from Multiple Schools—0
Empirical Evaluation of Deep Learning Models for Knowledge Tracing: Of Hyperparameters and Metrics on Performance and Replicability—0
Masked Deep Q-Recommender for Effective Question Scheduling—0
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal RelationsCode1
Programming Knowledge Tracing: A Comprehensive Dataset and A New Model—0
Learning Data Teaching Strategies Via Knowledge Tracing—0
An Approach for Combining Multimodal Fusion and Neural Architecture Search Applied to Knowledge Tracing—0
Interpreting Deep Knowledge Tracing Model on EdNet Dataset—0
Assessing the Performance of Online Students -- New Data, New Approaches, Improved AccuracyCode1
Deep Graph Memory Networks for Forgetting-Robust Knowledge Tracing—0
Learning Process-consistent Knowledge TracingCode1
Multi-Factors Aware Dual-Attentional Knowledge TracingCode1
Enhancing Knowledge Tracing via Adversarial TrainingCode1
Question Generation for Adaptive EducationCode1
MathBERT: A Pre-trained Language Model for General NLP Tasks in Mathematics EducationCode1
Application of Deep Self-Attention in Knowledge TracingCode1
A Survey of Knowledge Tracing: Models, Variants, and ApplicationsCode1
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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