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 76–100 of 215 papers

TitleStatusHype
Integrating LSTM and BERT for Long-Sequence Data Analysis in Intelligent Tutoring Systems—0
Exercise Hierarchical Feature Enhanced Knowledge Tracing—0
A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining—0
KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students—0
Equity and Fairness of Bayesian Knowledge Tracing—0
Consistency and Monotonicity Regularization for Neural Knowledge Tracing—0
A Review of Data Mining in Personalized Education: Current Trends and Future Prospects—0
Incremental Knowledge Tracing from Multiple Schools—0
Enhancing Deep Knowledge Tracing via Diffusion Models for Personalized Adaptive Learning—0
Advancing Personalized Learning Analysis via an Innovative Domain Knowledge Informed Attention-based Knowledge Tracing Method—0
Improving Question Embeddings with Cognitiv Representation Optimization for Knowledge Tracing—0
CogGen: A Learner-Centered Generative AI Architecture for Intelligent Tutoring with Programming Video—0
Imputing Knowledge Tracing Data with Subject-Based Training via LSTM Variational Autoencoders Frameworks—0
Integrating Attentional Factors and Spacing in Logistic Knowledge Tracing Models to Explore the Impact of Training Sequences on Category Learning—0
Explainable Knowledge Tracing Models for Big Data: Is Ensembling an Answer?—0
Knowledge Query Network: How Knowledge Interacts with Skills—0
Dynamic Knowledge embedding and tracing—0
A Probabilistic Generative Model for Tracking Multi-Knowledge Concept Mastery Probability—0
Feature Engineering for Second Language Acquisition Modeling—0
Dual-State Personalized Knowledge Tracing with Emotional Incorporation—0
CLUF: a Neural Model for Second Language Acquisition Modeling—0
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation—0
Do we need to go Deep? Knowledge Tracing with Big Data—0
A Survey of Explainable Knowledge Tracing—0
CLST: Cold-Start Mitigation in Knowledge Tracing by Aligning a Generative Language Model as a Students' Knowledge Tracer—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