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 201–215 of 215 papers

TitleStatusHype
Deep Learning for Educational Data Science—0
Adaptive Learning Path Navigation Based on Knowledge Tracing and Reinforcement Learning—0
Deep Knowledge Tracing with Side Information—0
HGKT: Introducing Hierarchical Exercise Graph for Knowledge Tracing—0
Hierarchical Bayesian Knowledge Tracing in Undergraduate Engineering Education—0
SAICL: Student Modelling with Interaction-level Auxiliary Contrastive Tasks for Knowledge Tracing and Dropout Prediction—0
An Empirical Comparison of Deep Learning Models for Knowledge Tracing on Large-Scale Dataset—0
How deep is knowledge tracing?—0
Second Language Acquisition Modeling—0
Deep Knowledge Tracing with Learning Curves—0
Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation—0
Improving Question Embeddings with Cognitiv Representation Optimization for Knowledge Tracing—0
Imputing Knowledge Tracing Data with Subject-Based Training via LSTM Variational Autoencoders Frameworks—0
Using Deep Reinforcement Learning to Train and Evaluate Instructional Sequencing Policies for an Intelligent Tutoring System—0
Incremental Knowledge Tracing from Multiple Schools—0
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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