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 151–200 of 215 papers

TitleStatusHype
BKT-LSTM: Efficient Student Modeling for knowledge tracing and student performance prediction—0
Multi-granulariy Time-based Transformer for Knowledge Tracing—0
Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics—0
MUSE: Multi-Scale Temporal Features Evolution for Knowledge Tracing—0
Analysis of Knowledge Tracing performance on synthesised student data—0
No Task Left Behind: Multi-Task Learning of Knowledge Tracing and Option Tracing for Better Student Assessment—0
On Representation Learning for Scientific News Articles Using Heterogeneous Knowledge Graphs—0
On the Interpretability of Deep Learning Based Models for Knowledge Tracing—0
On the verification of Embeddings using Hybrid Markov Logic—0
Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing—0
Not All Options Are Created Equal: Textual Option Weighting for Token-Efficient LLM-Based Knowledge Tracing—0
Augmenting Interpretable Knowledge Tracing by Ability Attribute and Attention Mechanism—0
Parametric Constraints for Bayesian Knowledge Tracing from First Principles—0
Pedagogy-R1: Pedagogically-Aligned Reasoning Model with Balanced Educational Benchmark—0
AdvKT: An Adversarial Multi-Step Training Framework for Knowledge Tracing—0
Personalized Forgetting Mechanism with Concept-Driven Knowledge Tracing—0
Personalized Knowledge Tracing through Student Representation Reconstruction and Class Imbalance Mitigation—0
Towards Interpretable Deep Learning Models for Knowledge Tracing—0
Predicting Learning Performance with Large Language Models: A Study in Adult Literacy—0
Uncertainty-preserving deep knowledge tracing with state-space models—0
UniEDU: A Unified Language and Vision Assistant for Education Applications—0
Programming Knowledge Tracing: A Comprehensive Dataset and A New Model—0
Programming knowledge tracing based on heterogeneous graph representation—0
A Survey of Explainable Knowledge Tracing—0
A Review of Data Mining in Personalized Education: Current Trends and Future Prospects—0
qDKT: Question-centric Deep Knowledge Tracing—0
Advancing Personalized Learning Analysis via an Innovative Domain Knowledge Informed Attention-based Knowledge Tracing Method—0
Dual-State Personalized Knowledge Tracing with Emotional Incorporation—0
Do we need to go Deep? Knowledge Tracing with Big Data—0
A Probabilistic Generative Model for Tracking Multi-Knowledge Concept Mastery Probability—0
Dynamic Knowledge embedding and tracing—0
Domain Generalizable Knowledge Tracing via Concept Aggregation and Relation-Based Attention—0
Quiz-based Knowledge Tracing—0
Tracing Player Knowledge in a Parallel Programming Educational Game—0
Enhancing Deep Knowledge Tracing via Diffusion Models for Personalized Adaptive Learning—0
Tracking student skills real-time through a continuous-variable dynamic Bayesian network—0
Domain Adaption for Knowledge Tracing—0
DKT-STDRL: Spatial and Temporal Representation Learning Enhanced Deep Knowledge Tracing for Learning Performance Prediction—0
Equity and Fairness of Bayesian Knowledge Tracing—0
Difficulty-Focused Contrastive Learning for Knowledge Tracing with a Large Language Model-Based Difficulty Prediction—0
Exercise Hierarchical Feature Enhanced Knowledge Tracing—0
APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing—0
Explainable Knowledge Tracing Models for Big Data: Is Ensembling an Answer?—0
Differentiating Student Feedbacks for Knowledge Tracing—0
Extending Deep Knowledge Tracing: Inferring Interpretable Knowledge and Predicting Post-System Performance—0
Fair Knowledge Tracing in Second Language Acquisition—0
Feature Engineering for Second Language Acquisition Modeling—0
Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor—0
From Prediction to Application: Language Model-based Code Knowledge Tracing with Domain Adaptive Pre-Training and Automatic Feedback System with Pedagogical Prompting for Comprehensive Programming Education—0
Empirical Evaluation of Deep Learning Models for Knowledge Tracing: Of Hyperparameters and Metrics on Performance and Replicability—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