Lee, S., Eun, S., Kim, D., & Shin, J. (In Preparation). A Meta-Analysis of Instructional Effectiveness on Computational Thinking: How Computational Thinking Is Defined Matters
Cho, M., Kim, Y., Ahn, S., & Eun, S. (Under Review). Analyzing EFL Learners' Interaction Types with ChatGPT and Learner Variables in English Reading Comprehension: A Study Based on the ICAP Framework
Eun, S., Kim, K., & Lee, C. An Exploratory Study on Potentials, Limitations, and Improvements of Using AI Digital Textbooks in Inclusive Elementary Classrooms. The Journal of Educational Studies, 56(3), 253-290.
Lee, Y., & Eun, S., Kim, A., & Cho, Y. H. Challenges of Standardizing Learning Data Standardization for Public Education in the Digital Age. The Journal of Educational Information and Media, 31(4). http://dx.doi.org/10.15833/KAFEIAM.31.4.1355
Eun, S., & Jin, S. The Effects of Persona-Based Argumentative Interaction with ChatGPT on Argumentative Writing, Tolerance, and Learning Engagement. The Journal of Educational Information and Media, 31(4). http://dx.doi.org/10.15833/KAFEIAM.31.4.1791
Eun, S., Kim, K., Kim, J., & Lee, K. A Comparative Analysis of Elementary School Teachers' Experiences in General and Educational Graduate Schools: An Activity Theory Perspective. The Journal of Elementary Education, 38(3), 401–439. http://dx.doi.org/10.29096/JEE.38.3.15
Jang, J., Eun, S., & Cho, Y. H. (In Preparation). The effects of prompt scaffolding on learning to write arguments with ChatGPT
Go, M., & Eun, S. (2024). A review of university course evaluation research in Korea: Focusing on the instructor variable (1994–2024). Journal of Learner-Centered Curriculum and Instruction, 24(24), 1049–1075. http://dx.doi.org/10.22251/jlcci.2024.24.24.1049
Jeong, S., Baek., S., Eun., S., Yoo., Y., & Kim., Y. (2024). An analysis of life-designing needs of college students: The case of S university. Journal of Teaching & Learning Research, 17(4), 1 - 23. http://dx.doi.org/10.23122/kactl.2024.17.4.001
Lee, U., Jeong, Y., Koh, J., Byun, G., Lee, Y., Lee, H., ... & Kim, H. (2024). I see you: teacher analytics with GPT-4 vision-powered observational assessment. Smart Learning Environments, 11(1), 48. https://doi.org/10.1186/s40561-024-00335-4
Go, M., & Eun, S. (2023). A review of university course evaluation research in Korea: Focusing on the learner variable (1994–2022). Journal of Learner-Centered Curriculum and Instruction, 23(4), 443–465. http://dx.doi.org/10.22251/jlcci.2023.23.4.443
Choo, Y., Shin, B., Kim, H., Han, Y., & Eun, S. (2024). Exploring the research trends in Korea of teaching analytics: A systematic review. The Journal of Educational Information and Media, 30(2), 549-570. http://dx.doi.org/10.15833/KAFEIAM.30.2.549
Eun, S., Kim, K., & Lee, C. (2025). Exploring the Use of AI Digital Textbooks (AIDT) in Inclusive Elementary Classrooms: Benefits, Challenges, and Directions for Improvement. 23rd International Conference for Media in Education 2025.
Lee, H., Eun, S., & Cho, Y. H. (2025). Relationships Between Learning Behaviors and Achievement in AI-Based EFL Learning App. 23rd AsiaTEFL International Conference 2025.
Eun, S., Kim, K., & Kim, J. (2025). A comparative analysis of elementary school teachers’ experiences in academic and professional graduate programs: An activity theory perspective. In Proceedings of the Korean Society for Elementary Education Annual Conference 2025.
Lee, Y., & Eun, S., Kim, A., & Cho, Y. H. (2025). Issues in standardizing public education learning data: Policy challenges and international cases. In Proceedings of the Korean Association for Educational Information and Media Annual Conference 2025.
Shin B., & Kang, M., Eun, S., & Cho, Y. H. (2025). Effects of generative AI-extended support on digital reading: Cognitive offloading and extended mind. In Proceedings of the Korean Association for Educational Information and Media Annual Conference 2025.
Eun, S., & Kim, K. (2025). Navigating Teacher Identity in the Generative AI Era: A Comparative Qualitative Study of English Teachers in Korea.
Jang, J., Eun, S., Lee, H., Choi, J., & Cho, Y. H. (2024). The effects of prompt scaffolding on learning to write arguments with ChatGPT. In Proceedings of the 18th International Conference of the Learning Sciences-ICLS 2024, pp. 1502-1505. International Society of the Learning Sciences.
Choo, Y., Eun, S., & Cho, Y. H. (2024). The Relationship between Teacher-Student Interaction and Student Well-Being in South Korea. In Proceedings of the 18th International Conference of the Learning Sciences-ICLS 2024, pp. 1622-1625. International Society of the Learning Sciences.
Naver Connect Foundation Research Project Call for Proposals (2024)
Self-Directed Learning in Online Learning Platforms: Analyzing the Impact of Learners' Independence and Interaction Characteristics
2024 Seoul National University College of Education AI-Integrated Education Long-Term Student Research Project (2024)
Development of a Task-Based Speaking Instruction Model and Teaching Strategies Using ChatGPT
2024 International Conference of the Learning Sciences ICLS Outstanding Short Paper (2024)
The effects of prompt scaffolding on learning to write arguments with ChatGPT
Naver Connect Foundation Research Project Call for Proposals (2023)
Improving Online Educational Platforms Using Interaction Data: Leveraging Predictive Machine Learning
2023 3rd Seoul National University AI-Integrated Education Content/Tool Development Hackathon – AIED-On
My Name is Kim Bong-gil": Development of a History Exploration VR
Traditional history education primarily relies on text, images, and videos to convey factual knowledge about historical events. However, this approach often limits learners' ability to emotionally engage with historical contexts. By utilizing VR technology, this project aims to immerse learners directly into historical events, allowing them to experience these situations firsthand. This immersive experience enhances emotional engagement and improves the effectiveness of factual knowledge acquisition in history education.
2023 3rd Seoul National University AI-Integrated Teaching Tools and Content Development Competition (AIED-Con) – Encouragement Award (2023)
AI Curator: Art Appreciation and Creation Classes Using Generative AI
This course aims to enhance students' abilities in art appreciation and creation. Moving away from traditional teacher-centered lectures, it encourages learners to engage in a dialogue with artworks independently while collaborating with multimodal AI to recognize and interpret images. Through this interactive appreciation process, students will internalize knowledge about Impressionism and apply it by crafting AI-generated prompts to create and parody Impressionist-style artworks. This design ensures that their appreciation-based knowledge seamlessly transfers into creative expression.
Outstanding Poster Award, Korean Society for Educational Technology (KSET) Fall Conference (2023)
Development of a ChatGPT-Based Physical Health Management Chatbot
Idea Award, 5th Seoul Education Data Utilization Idea Contest (2023)
2023 Seoul National University College of Education AI-Integrated Education Long-Term Student Research Project (2023)
English Writing Class Project Utilizing AI Machine Translation and the Metaverse