The Role of Social Presence in MOOC Students' Behavioral Intentions and Sentiments Toward the Usage of a Learning Assistant Chatbot: A Diversity, Equity, and Inclusion Perspective Examination. - Songhee Han; Jiyoon Jung; Hyangeun Ji; Unggi Lee; Min Liu 004 (AIED (Posters/Late Breaking Results/...), 2023)

Monacobert. - Unggi Lee; Yonghyun Park; Yujin Kim; Seoungyun Choi; Hyeoncheol Kim (IEEE DataPort, 2023)

Difficulty-Focused Contrastive Learning for Knowledge Tracing with a Large Language Model-Based Difficulty Prediction. - Unggi Lee; Sungjun Yoon; Joon Seo Yun; Kyoungsoo Park; Younghoon Jung; Damji Stratton; Hyeoncheol Kim (LREC/COLING, 2024)

MonaCoBERT: Monotonic Attention Based ConvBERT for Knowledge Tracing. - Unggi Lee; Yonghyun Park; Yujin Kim; Seongyune Choi; Hyeoncheol Kim (ITS (2), 2024)

LLaVA-docent: Instruction tuning with multimodal large language model to support art appreciation education. - Unggi Lee; Minji Jeon; Yunseo Lee; Gyuri Byun; Yoorim Son; Jaeyoon Shin; Hongkyu Ko; Hyeoncheol Kim (Comput. Educ. Artif. Intell., 2024)

Language Model Can Do Knowledge Tracing: Simple but Effective Method to Integrate Language Model and Knowledge Tracing Task. - Unggi Lee; Jiyeong Bae; Dohee Kim; Sookbun Lee; Jaekwon Park; Taekyung Ahn; Gunho Lee; Damji Stratton; Hyeoncheol Kim (CoRR, 2024)

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; Minji Kang; Gyuri Byun; Yeonseo Lee; Dohee Kim; Sookbun Lee; Jaekwon Park; Taekyung Ahn; Gunho Lee; Hyeoncheol Kim (CoRR, 2024)

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; Taekyung Ahn; Sookbun Lee; Dohee Kim; Aram Choi; Yeil Jeong; Jewoong Moon; Hyeoncheol Kim (CoRR, 2024)

Prompt Aloud!: Incorporating image-generative AI into STEAM class with learning analytics using prompt data. - Unggi Lee; Ariel Han; Jeongjin Lee; Eunseo Lee; Jiwon Kim; Hyeoncheol Kim; Cheolil Lim (Educ. Inf. Technol., 2024)

Few-shot is enough: exploring ChatGPT prompt engineering method for automatic question generation in english education. - Unggi Lee; Haewon Jung; Younghoon Jeon; Younghoon Sohn; Wonhee Hwang; Jewoong Moon; Hyeoncheol Kim (Educ. Inf. Technol., 2024)

I see you: teacher analytics with GPT-4 vision-powered observational assessment. - Unggi Lee; Yeil Jeong; Junbo Koh; Gyuri Byun; Yunseo Lee; Hyunwoong Lee; Seunmin Eun; Jewoong Moon; Cheolil Lim; Hyeoncheol Kim (Smart Learn. Environ., 2024)

ES-KT-24: A Multimodal Knowledge Tracing Benchmark Dataset with Educational Game Playing Video and Synthetic Text Generation. - Dohee Kim; Unggi Lee; Sookbun Lee; Jiyeong Bae; Taekyung Ahn; Jaekwon Park; Gunho Lee; Hyeoncheol Kim (ITS (2), 2025)

Echo-Teddy: Preliminary Design and Development of Large Language Model-Based Social Robot for Autistic Students. - Unggi Lee; Hansung Kim; Juhong Eom; Hyeonseo Jeong; Seungyeon Lee; Gyuri Byun; Yunseo Lee; Minji Kang; Gospel Kim; Jihoi Na; Jewoong Moon; Hyeoncheol Kim (ITS (2), 2025)

LLaVA-Docent-V2: Improving Data Quality and Pedagogical Data Generation to Train Large Multimodal Models for Art Appreciation Education. - Unggi Lee; Yoorim Son; Jaeyoon Shin; Gyuri Byun; Yunseo Lee; Junbo Koh; Minji Jeon; Hyeoncheol Kim (ITS (2), 2025)

Development and implementation of a generative artificial intelligence-enhanced simulation to enhance problem-solving skills for pre-service teachers. - Jieun Lim; Unggi Lee; Junbo Koh; Yeil Jeong; Yunseo Lee; Gyuri Byun; Haewon Jung; Yoonsun Jang; Sanghyeok Lee; Jewoong Moon (Comput. Educ., 2025)

Echo-Teddy: Preliminary Design and Development of Large Language Model-based Social Robot for Autistic Students. - Unggi Lee; Hansung Kim 002; Juhong Eom; Hyeonseo Jeong; Seungyeon Lee; Gyuri Byun; Yunseo Lee; Minji Kang; Gospel Kim; Jihoi Na; Jewoong Moon; Hyeoncheol Kim (CoRR, 2025)

How Can Video Generative AI Transform K-12 Education? Examining Teachers' Perspectives through TPACK and TAM. - Unggi Lee; Yeil Jeong; Seungha Kim; Yoorim Son; Gyuri Byun; Hyeoncheol Kim; Cheolil Lim (CoRR, 2025)

Generative Artificial Intelligence in Educational Game Design: Nuanced Challenges, Design Implications, and Future Research. - Jewoong Moon; Unggi Lee; Junbo Koh; Yeil Jeong; Yunseo Lee; Gyuri Byun; Jieun Lim (Technol. Knowl. Learn., 2025)

Pedagogy-R1: Pedagogically-Aligned Reasoning Model with Balanced Educational Benchmark. - Unggi Lee; Jaeyong Lee; Jiyeong Bae; Yeil Jeong; Junbo Koh; Gyeonggeon Lee; Gunho Lee; Taekyung Ahn; Hyeoncheol Kim (CoRR, 2025)