19 citations · 28 across the 12 of their papers we have counts for
12 papers
Ensuring Reliability in Programming Knowledge Tracing: A Re-evaluation of Attention-augmented Models and Experimental Protocols
Jaewook Kim, Hyeoncheol Kim
Programming Knowledge Tracing (PKT) has recently advanced through hybrid approaches that integrate attention-based feature modeling for code representation with RNN-based sequentia…
Evaluating LLMs for Police Decision-Making: A Framework Based on Police Action Scenarios
Sangyub Lee, Heedou Kim, Hyeoncheol Kim
The use of Large Language Models (LLMs) in police operations is growing, yet an evaluation framework tailored to police operations remains absent. While LLM's responses may not alw…
Pedagogy-R1: Pedagogically-Aligned Reasoning Model with Balanced Educational Benchmark
Unggi Lee, Jaeyong Lee, Jiyeong Bae +6
Recent advances in large reasoning models (LRMs) show strong performance in structured domains such as mathematics and programming; however, they often lack pedagogical coherence a…
How Can Video Generative AI Transform K-12 Education? Examining Teachers' Perspectives through TPACK and TAM
Unggi Lee, Yeil Jeong, Seungha Kim +4
The rapid advancement of generative AI technology, particularly video generative AI (Video GenAI), has opened new possibilities for K-12 education by enabling the creation of dynam…
Echo-Teddy: Preliminary Design and Development of Large Language Model-based Social Robot for Autistic Students
Unggi Lee, Hansung Kim, Juhong Eom +9
Autistic students often face challenges in social interaction, which can hinder their educational and personal development. This study introduces Echo-Teddy, a Large Language Model…
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…
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…
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…
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…
I See You: Teacher Analytics with GPT-4 Vision-Powered Observational Assessment
Unggi Lee, Yeil Jeong, Junbo Koh +7
This preliminary study explores the integration of GPT-4 Vision (GPT-4V) technology into teacher analytics, focusing on its applicability in observational assessment to enhance ref…
LLaVA-Docent: Instruction Tuning with Multimodal Large Language Model to Support Art Appreciation Education
Unggi Lee, Minji Jeon, Yunseo Lee +5
Despite the development of various AI systems to support learning in various domains, AI assistance for art appreciation education has not been extensively explored. Art appreciati…
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…