Knowledge-based Computing, Education & Ethics Design Laboratory
CEED Lab focuses on research in knowledge graphs, AI and digital education, AI ethics, and inclusive digital education that encompasses learners of all ages, including seniors. Students who join the lab will participate in various research projects under the supervision of Prof. Sujin Yoo, gaining hands-on research experience that connects computing and education, such as data analysis, knowledge graph construction, and the development of AI educational content.
CEED Lab News & Updates
[2026.05] Youngmin Noh joined the lab as an undergraduate research assistant.
[2026.04] The paper “An Analysis of Factors Affecting Student Satisfaction in Online Liberal Arts Software Courses” by Sujin Yoo and Hyodong Ha has been published in the Journal of The Korean Association of Computer Education.
[2026.04] Professor Sujin Yoo’s paper, “From Clicks to Insights: Machine Learning–Driven Learner Modeling in Korean National Digital Literacy Assessment,” presented at ICONI 2025, has been selected as an Outstanding Paper.
[2026.04] Dam Lee joined the lab as an undergraduate research assistant.
[2026.04] Prof. Sujin Yoo has been selected for the 2026 Hansung University AI·SW Industry-Academia Collaborative Project. The project will be carried out from April to July 2026, with undergraduate students Minpil Kim, Taewoo Kim, Dam Lee, Seongjin Cho, and Wooyoung Hong participating as team members.
[2026.04] Woohyun Lee joined the lab as an undergraduate research assistant.
[2026.04] Prof. Sujin Yoo joined the KERIS project on measuring AI and digital literacy for primary and secondary students as a co-investigator.
[2026.03] Prof. Sujin Yoo has been appointed as a member of the Digital Information Office Steering Committee at Hansung University.
[2026.03] Prof. Sujin Yoo has been appointed as the Head of the Web Engineering Track at Hansung University.
[2026.01] Prof. Sujin Yoo has been appointed as a member of the Education Committee of the Korean Institute of Information Scientists and Engineers (KIISE).
[2025.12] Prof. Sujin Yoo and students Sunjun Kim, Moonkwon Kim, Kiup Moon, and Heechan Lee have filed a patent titled “Real-time Meeting Visualization Device and Method Based on Mind Maps.”
[2025.11] A paper titled “A Study on the Development of a Multimodal Daily Life Support App for People with Visual Impairment,” submitted by students Junhyeok Jeon, Youngju Lee, Kyuri Kim, and Joonhee Choi, has been accepted for publication in the Journal of the Korean Association of Computer Education.
[2025.11] Two teams supervised by Prof. Sujin Yoo received awards at the 2025 Fall SW Festival: an Excellence Award (Jiyoung Seo et al.) and an Encouragement Award (Jaehyun Choi et al.).
[2025.10] Students Sunjun Kim, Moonkwon Kim, Kiup Moon, and Heechan Lee presented their research titled “MindRoad: Design and Implementation of a Mind Map–Based Real-Time Meeting Visualization Model” at the KSII Fall Conference.
[2025.10] A paper titled “Development of a Web Platform for Supporting Pronunciation Correction for the Hearing Impaired,” submitted by students Keejeong Lee, Heewook Yoon, Seungmin Oh, and Minseo Cho, has been accepted for publication in the Journal of the Korean Association of Computer Education.
[2025.07] Prof. Sujin Yoo’s paper titled “Exploring Strategies to Improve Digital Literacy Assessment Using Log Data Analysis” has been published in JOIV (Journal of Informatics and Visualization).
[2025.05] Three teams supervised by Prof. Sujin Yoo received awards at the 2025 Spring Capstone Design Exhibition of the Department of Computer Science at Hansung University: an Excellence Award (Heewook Yoon et al.) and two Encouragement Awards (Joonhee Choi et al., Geonwoo Do et al.).
[2025.03] Prof. Sujin Yoo joined the KERIS project on measuring digital literacy for primary and secondary students as a co-investigator.
[2025.02] Prof. Sujin Yoo joined the KERIS research project on data consistency for AI digital textbooks as a co-investigator.
[2025.01] Prof. Sujin Yoo’s paper titled "A Rule-Based Stock Trading Recommendation System Using Sentiment Analysis and Technical Indicators" has been published in Electronics.
[2024.09] Prof. Sujin Yoo joined Hansung University as an Assistant Professor in the Department of Computer Science.
Recruitment
CEED Lab focuses on research in knowledge graphs, AI and digital education, AI ethics, and inclusive digital education for diverse learners, including seniors. Our research aims to create an educational environment where everyone can understand and effectively use AI and digital technologies by integrating computing technologies with education. In particular, we explore a wide range of topics, including knowledge representation and utilization based on knowledge graphs, AI-supported teaching and learning methods, ethical and social issues surrounding responsible AI use, and digital education approaches designed for diverse learners across different age groups.
Students who join the lab will participate in various research projects under the supervision of Prof. Sujin Yoo. Through these projects, students will gain hands-on research experience connecting computing and education, such as data analysis, knowledge graph construction and applications, and the development of AI-based educational content. During the research process, students will also experience essential stages of research, including problem definition, data collection and analysis, system design and implementation, and the organization and presentation of research outcomes.
Through these experiences, students will develop interdisciplinary research skills that bridge computer science and education, while also building the problem-solving abilities and research experience required in the future digital society.
If you are interested in joining our lab or collaborating with us, please contact us through the Contact us page.