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 preliminarily developed a scale for measuring teachers’ generative AI instructional integration experience and conducted a pilot examination of its item structure using expert content validation and two independent synthetic persona-based simulated response datasets. Based on prior studies on TPACK, AI self-efficacy, teacher AI competence, AI acceptance, and ethical use of generative AI, 40 initial items were developed across four dimensions: AI lesson preparation, AI lesson implementation, AI assessment and feedback, and AI use reflection. Twelve experts reviewed item relevance, clarity, representativeness, redundancy, and factor fit, resulting in 28 preliminary items. For exploratory factor analysis, 549 valid responses were obtained after excluding 11 inattentive cases from 560 Nemotron-Personas-KOREA-based simulated responses. Maximum likelihood extraction and direct oblimin rotation retained 20 items. For cross-validation within synthetic persona-based data, a separate synthetic persona sample(N=600), generated independently from the EFA sample, was used for confirmatory factor analysis. The one-factor model was inadequate, whereas the correlated four-factor model showed acceptable fit and the second-order model also showed acceptable fit. The findings provide preliminary evidence for the item structure of a multidimensional construct and demonstrate a methodological example for early-stage item refinement in the AI era. Because the simulated responses were generated from synthetic personas rather than actual teachers, the results should be interpreted as a supplementary pilot examination of item structure, not as final validation evidence for the teacher population.
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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