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Instructional Innovation and the Reconstruction of Teacher Professionalism in K-Issue-Based AI Convergence Education: Focusing on the Case of AIEDAP

  • International Journal of K-Culture/K-Culture융합연구
  • Abbr : IJKC
  • 2026, 9(9), pp.207~228
  • Publisher : K-culture Convergence Research Society
  • Research Area : Humanities > Other Humanities
  • Received : May 20, 2026
  • Accepted : June 15, 2026
  • Published : June 30, 2026

YOOWHA HONG 1

1경민대학교

Candidate

ABSTRACT

(1) Objectives: This study examines how K-issue-based AI convergence education promotes instructional innovation and reconstructs teacher professionalism. It focuses on AIEDAP as a national support system for strengthening teachers’ AI and digital competencies. (2) Methods: This study analyzes classroom cases in which AI was used to address real social and local issues. In Korean language classes, students analyzed YouTube comments and connected the results to persuasive writing. In vocational high school classes, students used AI to analyze product reviews and propose improvements. (3) Conclusions: AI convergence education should not be understood merely as tool-use training. It enables students to collect, analyze, and interpret data while participating in authentic problem-solving. AIEDAP also supports the reconstruction of teacher professionalism by linking subject expertise, data literacy, instructional design, and community-based education.

Citation status

* References for papers published after 2025 are currently being built.