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 2650 of 215 papers

TitleStatusHype
SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language ModelCode1
Adaptive and Personalized Exercise Generation for Online Language LearningCode1
Enhancing Knowledge Tracing via Adversarial TrainingCode1
Improving Knowledge Tracing via Pre-training Question EmbeddingsCode1
Tracing Knowledge Instead of Paterns: Stable Knowledge Tracing with Diagnostic TransformerCode1
LANA: Towards Personalized Deep Knowledge Tracing Through Distinguishable Interactive SequencesCode1
Exploring Knowledge Tracing in Tutor-Student Dialogues using LLMsCode1
GIKT: A Graph-based Interaction Model for Knowledge TracingCode1
GRAM: Fast Fine-tuning of Pre-trained Language Models for Content-based Collaborative FilteringCode1
Application of Deep Self-Attention in Knowledge TracingCode1
Deep Knowledge TracingCode1
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge TracingCode1
Code-DKT: A Code-based Knowledge Tracing Model for Programming TasksCode1
DyGKT: Dynamic Graph Learning for Knowledge TracingCode1
Dynamic Student Classiffication on Memory Networks for Knowledge TracingCode1
Learning Behavior-oriented Knowledge TracingCode1
Context-Aware Attentive Knowledge TracingCode1
MonaCoBERT: Monotonic attention based ConvBERT for Knowledge TracingCode1
Contrastive Learning for Knowledge TracingCode1
Convolutional Knowledge Tracing: Modeling Individualization in Student Learning ProcessCode1
Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty EffectCode1
Option Tracing: Beyond Correctness Analysis in Knowledge TracingCode1
pyBKT: An Accessible Python Library of Bayesian Knowledge Tracing ModelsCode1
Question Generation for Adaptive EducationCode1
Automated Knowledge Component Generation and Knowledge Tracing for Coding ProblemsCode0
Show:102550
← PrevPage 2 of 9Next →

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