AI-Based Education Research Center

Location

Building 10-1, Rooms 208 and 305

Participating Institutions and Research Achievements

A. Participating Colleges within the University : College of Education
B. Participating Departments within the University : Education, Korean Education, Physics Education, French Education, Mathematics Education, English Education, Geography Education, and AI Convergence Education.
C. External Participating Institutions : Artificial Intelligence Research Center of Electronics and Telecommunications Research Institute (ETRI), Tutorus Labs Co., Ltd., TeamBell Co., Ltd., NSDouble Co., Ltd.
D. Interdisciplinary Research Achievements : The center bases its research on interdisciplinary collaborations among various departments within the College of Education. The projects carried out at the center are divided according to the characteristics of each department, and in relation to AI technologies, they are conducted in collaboration with internal and external experts and institutions. To facilitate this, the center holds regular or irregular meetings of the entire research team. They also conduct various activities, such as roundtable discussions, colloquia, and expert-invited lectures, to take advantage of interdisciplinary research.

Research Topics

With the advancement of AI technology, a significant amount of research and development is taking place in the edtech sector. However, existing technologies have primarily been planned and developed by engineers, often lacking sufficient educational integration and validation. The AI-Based Education Research Center aims to develop technologies and systems that meet the requirements of the educational field through collaboration with the College of Education, AI research institutes, and companies.

Research on AI-based Technologies for Personalized Learning

- Investigation into the balance between traditional classroom education and personalized learning.

- Exploring technologies that can automatically adjust and provide content based on each student's learning style, pace, strengths, and weaknesses.

Research on Automated Assessment and Feedback Technologies

- Development of an automated assessment system that ensures accuracy and fairness, along with an automated feedback system to guide individual learning.

Research on AI Systems Supporting Emotional and Social Learning

- Investigation into systems that can detect and respond to students' emotional states to optimize their learning experiences.

- Research into technologies that support students' socio-emotional learning, enabling them to develop interpersonal skills and emotional intelligence.

Center Members

Position	Name	Department	Term
Director	Yunjoo Yoo	Department of Mathmatics	September 2024 - Present
Operating Committee	Yong-nam Kim	Department of Education	June 2023 - Present
Operating Committee	Ho-jung Kim	Department of Korean Education	June 2023 - Present
Operating Committee	Young-soon So	Department of English Education	June 2023 - Present
Operating Committee	Jong-ho Shin	Department of Education	June 2023 - Present
Operating Committee	Yeon-joo Yoo	Department of Mathematics Education	June 2023 - Present
Operating Committee	Joon-hee Yoo	Department of Physics Education	June 2023 - Present
Operating Committee	Sang-il Lee	Department of Geography Education	June 2023 - Present
Operating Committee	Sun-young Lee	Department of Education	June 2023 - Present

Overview of achievements by year

Year	Content
2021.04.01 ~ 2021.10.30	Development of Gyeongnam Future Education Platform and Big Data & AI-Based Education System with Gyeongnam Office of Education
2022.01.28 ~ 2022.08.30	Usability research of UBLCLOUD (Ubiquitous Based Learning Cloud) platform and attention supervision AI, centered on user experience
2022.02.01 ~ 2023.12.31	Development of a personalized teaching and learning support system based on multi-modal AI Agent