인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
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.
학술저널
DBpia Top 1%
오류 신고하기해당 페이지 내 제목·저자·목차·페이지정보가 잘못된 경우 알려주세요!
초록·키워드
The purpose of this study is to examine the patterns of generative artificial intelligence(AI) usage in educational settings among learners and to analyze the associated ethical and unethical issues, as well as their multifaceted impacts on learners. The research method involved a systematic review of 34 domestic studies published between January 2023 and February 2025, selected based on the PICOS criteria, which focused on the use of generative AI by learners. Each study was analyzed with regard to the level of education, purpose of use, ethical and unethical cases, and the presence or absence of educational intervention. The findings of this study are as follows. First, generative AI was being utilized across diverse educational contexts for various purposes, including learning support, assignment generation, writing assistance, and inquiry-based activities. Second, ethical use cases reported positive effects such as enhanced creativity, self-directed learning, and improved metacognitive abilities, while unethical use cases included plagiarism, uncritical acceptance of information, and academic dishonesty. Third, unethical usage was found to be driven more by structural factors—such as the lack of AI ethics education, insufficient usage guidelines, and inadequate teacher expertise—rather than by a lack of moral integrity. Fourth, learners who had experience using generative AI demonstrated positive changes in autonomy, creativity, metacognition, and self-efficacy. Ethical awareness differed significantly depending on whether educational intervention had taken place. The discussion and conclusion of this study emphasize the necessity of education that fosters digital literacy and ethical thinking suitable for the era of generative AI. Accordingly, the study proposes relevant policy and educational measures in response to these emerging needs.
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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