교육대학원 인공지능 융합교육 전공 캡스톤 디자인 교과목 개발 및 적용

Abstract

Objectives This study aimed to develop a capstone design course in the artificial intelligence convergence education major at the graduate school of education and apply it to actual classes to assess its educational effectiveness.
 Methods To achieve this, the artificial intelligence convergence education capstone design course was developed and implemented following the ADDIE model. Additionally, a survey consisting of problem-solving efficacy, task value, task authenticity, and satisfaction was conducted before and after the class to examine educational effectiveness. The collected data was analyzed using descriptive statistics and t-tests.
 Results Artificial intelligence convergence education capstone design course and teaching materials were developed for a total of 45 sessions, consisting of the first half of tool learning and example project implementation and the second half of presenting and discussing the research plan. The results showed statistically significant improvements across all areas after applying the course.
 Conclusions While the operation of capstone design courses for field research in the graduate school's artificial intelligence convergence education major is recommended, the lack of operational cases and efficacy evaluations is evident. Further research building upon these findings is anticipated to contribute to substantial course operations in the future.