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.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2023.03
- 수록면
- 1 - 17 (17page)
- DOI
- https://doi.org/10.31216/BDL.20230001
이용수
초록· 키워드
Recently, generative AI could create new information and contents similar to the real, and the AI interacts like humans. The investigation of teaching and learning is essential to use generative AI in education. Therefore researchers performed a literature review of the characteristics and types of generative AI for the guide and direction of the educational application. ChatGPT is a representative example of generative AI, and it is an unsupervised learning model based on GPT(a deep learning-based language model). It can generate output like humans from pre-learned big data and experience similar to the teacher and student interaction. In particular, life science targets living organisms and must consider multidimensional perspectives. Therefore generative AI can use as an assistance tool for concept learning and inquiry activities in biology education. According to the theoretical considerations and use cases presented above, it was possible to learn with the help of generative AI without experts to verify learners' intuition concepts, inquiry performance, maintain safety, analysis of results, and etc. Researchers present a teaching-learning model using generative AI based on a literature review and examples for biological concept learning and inquiry activities using ChatGPT. It is necessary to shift the evaluation method from quantitative to qualitative to utilize generative AI. Also, it is essential to present a strategy for teaching and learning using AI in consideration of ethical aspects and to develop learners' decision-making capabilities.
상세정보 수정요청해당 페이지 내 제목·저자·목차·페이지정보가 잘못된 경우 알려주세요!
목차
등록된 정보가 없습니다.
참고문헌
참고문헌 신청최근 본 자료
