Korean Council for University College Education to offer online training for education staff on ‘AI-powered classroom innovation and work automation’
- Input
- 2026-10-22 15:47:21
- Updated
- 2026-10-22 15:47:21

The training was developed to help faculty and staff learn new technologies and apply them in their work amid rapidly changing AI and digital environments. In particular, it includes courses on using ‘Vibe Coding,’ in which AI creates programs in response to verbal instructions, and ‘AI agents,’ which independently handle multiple steps of a task instead of people, to automate college operations and boost practical productivity in areas such as data analysis and report writing.
Training in AI-based teaching methods for instructors will also be offered. Practical courses reflecting the distinctive features of vocational education at junior colleges will cover AI-based lesson design and assessment, as well as capstone design, problem-based learning (PBL), flipped learning and industry-linked projects.
The council has also expanded hands-on courses to strengthen faculty and staff’s professional skills, including college tax strategies, internal regulations management, audit response for university-industry cooperation foundations, and tailored financial asset management for different stages of life.
The training comprises 25 courses across four areas and will be delivered in 27 sessions using the Zoom video conferencing platform.
Oh Byeong-jin, director of the Competency Development Training Institute, said, “The capabilities needed in junior college settings go beyond understanding technology; they include the ability to connect new technologies to changes in teaching, research, student support and college operations.” He added, “This training is designed around AI to address practical challenges in education and administration and to ensure that faculty and staff can immediately apply what they learn to their work, with an emphasis on practical application and usability.”
[email protected] Man-gi Kim Reporter