most citedDifficulty-Focused Contrastive Learning for Knowledge Tracing with a Large Language Model-Based Difficulty Prediction

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2024

Language Model Can Do Knowledge Tracing: Simple but Effective Method to Integrate Language Model and Knowledge Tracing Task

Unggi Lee, Jiyeong Bae, Dohee Kim +6

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…

cs.CL2023★ 2 cited

Difficulty-Focused Contrastive Learning for Knowledge Tracing with a Large Language Model-Based Difficulty Prediction

Unggi Lee, Sungjun Yoon, Joon Seo Yun +4

This paper presents novel techniques for enhancing the performance of knowledge tracing (KT) models by focusing on the crucial factor of question and concept difficulty level. Desp…