News
2025년도 교육정보미디어연구 학술우수상 수상
Seong Eun Kim (Ph.D. student), Kyuwon Kim and Jeanhee Lee (M.S. student), and Professor Hyo-Jeong So received the 2025 Outstanding Research Award from the Journal of Educational Information and Media. The award is presented by the editorial board of the Korean Association for Educational Information and Media to papers published in the journal during 2025 that are recognized for excellence in research design, methodology, data analysis, and overall scholarly contribution. :::paper title: Designing a dialogue-game for AI ethics education: Supporting ethical discourse through collective decision-making type: Outstanding Research Award · Journal of Educational Information and Media, v.31, no.5 authors: Sung-Eun Kim, Kyuwon Kim, Jeanhee Lee, Hyo-Jeong So link: https://doi.org/10.15833/KAFEIAM.31.5.2033 ::: This study employed the dilemma-based digital game The Desk: Dilemmas in AI Ethics to explore the social dynamics and discourse characteristics of group decision-making surrounding AI ethics issues. The findings highlighted the importance of designing learning environments that delay premature consensus and promote the integration of diverse perspectives. Furthermore, the study demonstrated that dilemma-based dialogue games can serve as effective tools for fostering deliberative reasoning on complex ethical issues.
2026 한국교육정보미디어학회 춘계학술대회 최우수논문상 수상
At the 2026 Spring Conference of the Korean Association for Educational Information and Media (KAEIM), Kyuwon Kim (M.S. student) received the Best Paper Award. The conference was held at Yonsei University on May 29–30, 2026, under the theme, "Expanding AI-Based Education and Ensuring Trustworthiness: Reframing the Future of Education." :::paper title: Examining the Effects of Participation and Functional Roles of LLM-Based Conversational Agents in Decision-Making on Controversial Issues type: Best Paper Award · 2026 KAEIM Spring Conference authors: Kyuwon Kim, Hyo-Jeong So ::: Kyuwon received the Best Paper Award for the study, "Examining the Effects of Participation and Functional Roles of LLM-Based Conversational Agents in Decision-Making on Controversial Issues." This study investigated how different roles performed by LLM-based conversational agents influence discussion processes and the quality of decisions in collaborative decision-making contexts. The findings demonstrated the educational potential of AI agents and showed that peer-role agents can go beyond simply providing information to facilitate learner interaction and deliberative engagement. The study also offers implications for the design of collaborative learning and decision-support systems powered by generative AI.
AIED 2026 발표 소식
Five research papers from the IDL Lab have been accepted for presentation at AIED 2026, an A-ranked conference in the CORE Conference Ranking that places among the top 13.09% of ranked computer science venues. The papers will be presented at AIED 2026, held in Seoul, Republic of Korea, from June 29–July 3, 2026. :::paper title: Supporting Scientific Sensemaking under Uncertainty in Inquiry-Based Learning with an AI-based Chatbot type: Full Paper · AIED 2026 authors: Ga Young Lee, Hyo-Jeong So ::: Lee and So (2026) designed InquirySenseBot, a generative AI-based chatbot that scaffolds students’ sensemaking by providing support aligned with phase-specific types of scientific uncertainty in middle school STEM inquiry-based learning. The findings showed that students who used the chatbot demonstrated significantly higher inquiry performance compared to those who did not, with significant gains in research question formulation, hypothesis formulation, experiment planning, and drawing conclusions. :::paper title: An Adaptive Multi-Agent Learning Environment for Interprofessional Communication Training in Nursing Education type: Short Paper · AIED 2026 authors: Eunyoung Kim, Hyosung Park, Subin Yu, Jiyeong Shin, Hyo-Jeong So ::: Kim et al. (2026) designed an adaptive multi-agent learning environment (IPES) to support interprofessional communication training in nursing education and conducted an initial usability evaluation with nursing students. By integrating role-based AI agents and real-time SBAR-based scaffolding, the study explored the potential of supporting collaborative communication and role negotiation in healthcare education. :::paper title: PersonA.I.: Supporting Ethical Decision-Making Through a Role-Playing Game with Conversational Agents type: Poster · AIED 2026 authors: Yue Wang, Yeji Ko, Sieun Park, Hyo-Jeong So ::: Wang et al. (2026) introduces PersonA.I., a branching-narrative role-playing game with conversational agents designed to support AI ethics learning. A mixed-methods pilot study found that the game provided positive, immersive experiences and encouraged students to deliberate carefully and take the perspective of multiple stakeholders during the gameplay. :::paper title: Pedagogically Steered LLM-Based Teachable Agents for Scaffolding Tutor Learning in Learning-by-Teaching type: Doctoral Consortium · AIED 2026 authors: Lingxi Jin, Hyo-Jeong So ::: Jin and So (2026) proposes a pedagogical steering framework that enables LLM-based teachable agents to support tutors’ reflective knowledge building in Learning-by-Teaching through formalized tutoring strategies. :::paper title: When Should AI Intervene? Rethinking In-Video Quizzes as Affective Transition Points type: Workshop Paper · MAAI Workshop at Festival of Learning 2026 authors: Eunyoung Kim, Kyuwon Kim, Hyo-Jeong So ::: Kim, Kim and So (2026) investigates learners’ affective changes surrounding in-video quizzes in video-based learning environments and explores how affect-adaptive quiz delivery shapes emotions such as confusion. By viewing quizzes not merely as assessment tools but as learning activities that support affective changes, the study emphasizes the importance of learners’ emotional states in video-based learning design.
ICLS 2026 발표 소식
Two papers from the IDL Lab have been accepted for presentation at the International Conference of the Learning Sciences (ICLS 2026), which will be held in Irvine, California, USA, from June 15–19, 2026. :::paper title: Exploring Multidimensional Thinking in a Community of Philosophical Inquiry for AI Ethics Education type: Full Paper · ICLS 2026 authors: Yeji Ko, Hyo-Jeong So ::: Ko and So (2026) designed a community of philosophical inquiry (CPI) using a tabletop role-playing game (TRPG) for AI ethics learning and analyzed the patterns of multidimensional thinking emerging from participants' dialogues. The study identified key patterns of creative and caring thinking supporting critical reasoning in AI ethics inquiry, and highlighted the practical potential of TRPG-based CPI as an effective environment for AI ethics education. :::paper title: How Teachers Learn by Designing AI-Ethics Scenarios Using an LLM-Supported Authoring Tool type: Short Paper · ICLS 2026 authors: Jeanhee Lee, Sieun Park, Yue Wang, Kyuwon Kim, Yeji Ko, Hyo-Jeong So ::: Lee et al. (2026) explores teachers’ prompting patterns and learning experiences while designing AI ethics dilemma scenarios through a Learning by Design activity supported by an LLM-based authoring tool and examines how interactions with generative AI influence teachers’ understanding of AI ethics and instructional design capacities.
석사과정생 김규원, ICALT Student Award 선정
Kyuwon Kim, a master’s student in the IDL Lab, has been selected as a recipient of the Student Award hosted by the IEEE Technical Community on Learning Technology (IEEE TCLT). The program aims to achieve greater Equity, Diversity and Inclusion within the TCLT community, and through this award, she will receive approximately $1,500 in travel support. :::paper title: Understanding Productive Dialogue in Value-Laden Contexts through Hidden Markov Models type: Full Paper · ICALT 2026 authors: Kyuwon Kim, Jeanhee Lee, Hyo-Jeong So ::: ICALT 2026 is an international conference in the field of advanced learning technologies co-organized by the IEEE Computer Society and IEEE TCLT. The conference will be held in Hung Yen, Vietnam from July 6 to 9. At ICALT 2026, she will present the full paper titled "Understanding Productive Dialogue in Value-Laden Contexts through Hidden Markov Models."