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 151–175 of 215 papers

TitleStatusHype
APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing—0
DBE-KT22: A Knowledge Tracing Dataset Based on Online Student Evaluation—0
Equity and Fairness of Bayesian Knowledge Tracing—0
No Task Left Behind: Multi-Task Learning of Knowledge Tracing and Option Tracing for Better Student Assessment—0
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
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
Deep Graph Memory Networks for Forgetting-Robust Knowledge Tracing—0
Consistency and Monotonicity Regularization for Neural Knowledge Tracing—0
On Representation Learning for Scientific News Articles Using Heterogeneous Knowledge Graphs—0
Temporal Cross-Effects in Knowledge Tracing—0
MUSE: Multi-Scale Temporal Features Evolution for Knowledge Tracing—0
LSTM-SAKT: LSTM-Encoded SAKT-like Transformer for Knowledge Tracing—0
On the Interpretability of Deep Learning Based Models for Knowledge Tracing—0
Do we need to go Deep? Knowledge Tracing with Big Data—0
An Empirical Comparison of Deep Learning Models for Knowledge Tracing on Large-Scale Dataset—0
Using Deep Reinforcement Learning to Train and Evaluate Instructional Sequencing Policies for an Intelligent Tutoring System—0
BKT-LSTM: Efficient Student Modeling for knowledge tracing and student performance prediction—0
Explainable Knowledge Tracing Models for Big Data: Is Ensembling an Answer?—0
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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