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 101–150 of 215 papers

TitleStatusHype
MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCsCode1
Quiz-based Knowledge Tracing—0
Reinforcement Learning Guided Multi-Objective Exam Paper GenerationCode0
Imputing Knowledge Tracing Data with Subject-Based Training via LSTM Variational Autoencoders Frameworks—0
A Probabilistic Generative Model for Tracking Multi-Knowledge Concept Mastery Probability—0
DKT-STDRL: Spatial and Temporal Representation Learning Enhanced Deep Knowledge Tracing for Learning Performance Prediction—0
Enhancing Deep Knowledge Tracing with Auxiliary TasksCode0
Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive RepresentationsCode0
simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge TracingCode0
Augmenting Interpretable Knowledge Tracing by Ability Attribute and Attention Mechanism—0
Transition-Aware Multi-Activity Knowledge TracingCode0
HiTSKT: A Hierarchical Transformer Model for Session-Aware Knowledge TracingCode0
Differentiating Student Feedbacks for Knowledge Tracing—0
Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics—0
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge TracingCode1
DAGKT: Difficulty and Attempts Boosted Graph-based Knowledge TracingCode0
SAICL: Student Modelling with Interaction-level Auxiliary Contrastive Tasks for Knowledge Tracing and Dropout Prediction—0
Knowledge Tracing for Complex Problem Solving: Granular Rank-Based Tensor FactorizationCode0
APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing—0
MonaCoBERT: Monotonic attention based ConvBERT for Knowledge TracingCode1
DBE-KT22: A Knowledge Tracing Dataset Based on Online Student Evaluation—0
Visual Knowledge TracingCode1
Towards a General Pre-training Framework for Adaptive Learning in MOOCsCode1
Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty EffectCode1
pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing ModelsCode2
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