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 101–125 of 215 papers

TitleStatusHype
Imputing Knowledge Tracing Data with Subject-Based Training via LSTM Variational Autoencoders Frameworks—0
Incremental Knowledge Tracing from Multiple Schools—0
Integrating Attentional Factors and Spacing in Logistic Knowledge Tracing Models to Explore the Impact of Training Sequences on Category Learning—0
Integrating LSTM and BERT for Long-Sequence Data Analysis in Intelligent Tutoring Systems—0
Interpreting Deep Knowledge Tracing Model on EdNet Dataset—0
KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students—0
Knowledge Query Network: How Knowledge Interacts with Skills—0
Knowledge Tracing: A Survey—0
Knowledge Tracing Challenge: Optimal Activity Sequencing for Students—0
Knowledge Tracing in Programming Education Integrating Students' Questions—0
Knowledge Tracing in Sequential Learning of Inflected Vocabulary—0
Language Model Can Do Knowledge Tracing: Simple but Effective Method to Integrate Language Model and Knowledge Tracing Task—0
Learning Data Teaching Strategies Via Knowledge Tracing—0
Learning states enhanced knowledge tracing: Simulating the diversity in real-world learning process—0
Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation—0
Learning to Love Edge Cases in Formative Math Assessment: Using the AMMORE Dataset and Chain-of-Thought Prompting to Improve Grading Accuracy—0
Leveraging Skill-to-Skill Supervision for Knowledge Tracing—0
LLM-driven Effective Knowledge Tracing by Integrating Dual-channel Difficulty—0
LSTM-SAKT: LSTM-Encoded SAKT-like Transformer for Knowledge Tracing—0
Mamba4KT:An Efficient and Effective Mamba-based Knowledge Tracing Model—0
Masked Deep Q-Recommender for Effective Question Scheduling—0
Deep Trustworthy Knowledge Tracing—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
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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