인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
This study identifies priority areas of EdTech and generative AI faculty support that university teaching and learning centers (CTL) should strengthen. Drawing on survey responses from 151 faculty members, the study employed a modified needs index based on the Borich approach, the Locus for Focus (LfF) model, Importance-Performance Analysis (IPA), and thematic analysis with convergent mixed-methods triangulation. Because present and required levels were measured as dichotomous multiple-response items, the index is interpreted as a relative priority among the surveyed areas; a sensitivity analysis restricted to program participants reproduced identical rank order and quadrant classifications. EdTech competencies for creative teaching and learner-centered instructional design emerged as higher relative priorities in the HH quadrant. The IPA results identified plagiarism detection and citation guidelines for AI-assisted student work as a Q1 area requiring priority improvement, while all seven items showed high absolute importance, indicating that lower-quadrant items should be maintained rather than reduced. Qualitative findings strongly converged with the quantitative results, supporting an integrated short-, mid-, and long-term faculty support strategy. The findings offer practical implications for faculty support in fisheries, marine, and vocational higher education, where practice-based instruction and academic integrity in AI-assisted work are pressing concerns.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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