A survey of knowledge tracing: Models, variants, and applications

S Shen, Q Liu, Z Huang, Y Zheng, M Yin… - IEEE Transactions …, 2024‏ - ieeexplore.ieee.org
Modern online education has the capacity to provide intelligent educational services by
automatically analyzing substantial amounts of student behavioral data. Knowledge tracing …

Language model can do knowledge tracing: Simple but effective method to integrate language model and knowledge tracing task

U Lee, J Bae, D Kim, S Lee, J Park, T Ahn… - arxiv preprint arxiv …, 2024‏ - arxiv.org
Knowledge Tracing (KT) is a critical task in online learning for modeling student knowledge
over time. Despite the success of deep learning-based KT models, which rely on sequences …

CLST: Cold-Start Mitigation in Knowledge Tracing by Aligning a Generative Language Model as a Students' Knowledge Tracer

H Jung, J Yoo, Y Yoon, Y Jang - arxiv preprint arxiv:2406.10296, 2024‏ - arxiv.org
Knowledge tracing (KT), wherein students' problem-solving histories are used to estimate
their current levels of knowledge, has attracted significant interest from researchers …

[PDF][PDF] Improving Knowledge Tracing via modeling Students' Learning Behaviors

H Jung, J Yoo, Y Yoon, Y Jang - Authorea Preprints, 2024‏ - researchgate.net
Knowledge tracing (KT), which involves the use of students' problem-solving histories to
estimate their current level of knowledge, has attracted significant interest from researchers …

A Systematic Review of Language Aptitude and Proficiency: EEG and ERP Measurements

Z Ashofteh, R Bahri Roudposhti… - Journal of Cognition …, 2023‏ - ceejournal.com
How to evaluate and predict the degrees of language aptitude and language proficiency is
one of the controversial issues in the world of second language learning. To address this …