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 161170 of 215 papers

TitleStatusHype
Do we need to go Deep? Knowledge Tracing with Big Data0
An Empirical Comparison of Deep Learning Models for Knowledge Tracing on Large-Scale Dataset0
Using Deep Reinforcement Learning to Train and Evaluate Instructional Sequencing Policies for an Intelligent Tutoring System0
BKT-LSTM: Efficient Student Modeling for knowledge tracing and student performance prediction0
Option Tracing: Beyond Binary Knowledge TracingCode1
Improving Knowledge Tracing via Pre-training Question EmbeddingsCode1
Explainable Knowledge Tracing Models for Big Data: Is Ensembling an Answer?0
Exercise Hierarchical Feature Enhanced Knowledge Tracing0
SAINT+: Integrating Temporal Features for EdNet Correctness PredictionCode1
GIKT: A Graph-based Interaction Model for Knowledge TracingCode1
Show:102550
← PrevPage 17 of 22Next →

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