Unggi Lee

According to our database, Unggi Lee authored at least 19 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, May, 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., March, 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, March, 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

CoRR, February, 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

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

Proceedings of the Generative Systems and Intelligent Tutoring Systems, 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

Proceedings of the Generative Systems and Intelligent Tutoring Systems, 2025

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

Proceedings of the Generative Systems and Intelligent Tutoring Systems, 2025

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., December, 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., June, 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., June, 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

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

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

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

MonaCoBERT: Monotonic Attention Based ConvBERT for Knowledge Tracing.

Unggi Lee, Yonghyun Park, Yujin Kim, Seongyune Choi, Hyeoncheol Kim

Proceedings of the Generative Intelligence and Intelligent Tutoring Systems, 2024

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

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Monacobert.

Unggi Lee, Yonghyun Park, Yujin Kim, Seoungyun Choi, Hyeoncheol Kim

Dataset, February, 2023

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

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023