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
- 저널정보
- J-INSTITUTE International Journal of Human & Disaster International Journal of Human & Disaster Vol.5 No.1
- 발행연도
- 2020.1
- 수록면
- 1 - 9 (9page)
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초록· 키워드
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Purpose; The purpose of this study is to examine the problems of the traditional teaching method, and to clari-fy how the teaching and learning methods for creative talents is reflected through the design on teaching and learning method for creative talent in the age of artificial intelligence(AI). The design of the creative teaching and learning model proposed in this study is largely classified into two stages, In-class(Offline Practice Learning Steps) and After-class(Post-Class Inquiry and Project-Based Learning). And the mechanism that connects learning states organically rather than independently separate concept, but is analyzed based on a questionnaire evaluation on the concentration and immersion of classes and the understanding of creative teaching and learning methods. And this paper explores that learners who will be at the center of future society have the power to think through concentration and immersion in solving their own difficult problems based on their experience of teaching and learning methods in university education. In this process, creativity is expressed. They will also feel happy with a sense of accomplishment, confidence, and satisfaction while solving difficult problems. This is why problem-based learning is necessary in university education. The teaching and learning method proposed in this study is to in-duce learners to think freely based on dialogue rather than discussion, and to lead the class by achieving the con-centration and immersion in class, thus leading to a sense of achievement. The teaching-learning model, which incorporates elements that can solve problems on their own with convergent and logical thinking, has become an opportunity to reveal the importance of fostering creative talent for the artificial intelligence era.
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