most citedHow to Align Large Language Models for Teaching English? Designing and Developing LLM based-Chatbot for Teaching English Conversation in EFL, Findings and Limitations

2 citations · 4 across the 4 of their papers we have counts for

collaborators

4 papers

cs.SI2024

ES-KT-24: A Multimodal Knowledge Tracing Benchmark Dataset with Educational Game Playing Video and Synthetic Text Generation

Dohee Kim, Unggi Lee, Sookbun Lee +5

This paper introduces ES-KT-24, a novel multimodal Knowledge Tracing (KT) dataset for intelligent tutoring systems in educational game contexts. Although KT is crucial in adaptive…

cs.HC20242 cited

How to Align Large Language Models for Teaching English? Designing and Developing LLM based-Chatbot for Teaching English Conversation in EFL, Findings and Limitations

Jaekwon Park, Jiyoung Bae, Unggi Lee +7

This study investigates the design, development, and evaluation of a Large Language Model (LLM)-based chatbot for teaching English conversations in an English as a Foreign Language…

cs.CL20241 cited

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

Unggi Lee, Jiyeong Bae, Yeonji Jung +9

Knowledge Tracing (KT) is a critical component in online learning, but traditional approaches face limitations in interpretability and cross-domain adaptability. This paper introdu…

cs.CY20221 cited

MonaCoBERT: Monotonic attention based ConvBERT for Knowledge Tracing

Unggi Lee, Yonghyun Park, Yujin Kim +2

Knowledge tracing (KT) is a field of study that predicts the future performance of students based on prior performance datasets collected from educational applications such as inte…