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비대면 수업 융합교과의 효과적인 팀학습 지원에 관한 연구

A study on Effective Team Learning Support in Non-Face-To-Face Convergence Subjects

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참고문헌

키워드

주제분류학제간연구

초록

In a future society where cutting-edge science technology such as artificial intelligence becomes commonplace, the demand for talented people with basic knowledge of mathematics and science is expected to increase continuously, and the educational infrastructure suitable for the characteristics of future generations is still insufficient. In particular, in the case of students taking convergence courses including practical training, there was a problem in communication with the instructor. In this study, we looked at the current status of distance learning at domestic universities that came suddenly due to the global pandemic of COVID-19. In addition, a case study of the use of technology was conducted to facilitate the interaction between instructors and learners through case analysis of distance classes in convergence subjects. Therefore, this study aims to introduce the case of developing lecture contents for smooth convergence education in a non-face-to-face educational environment targeting the developed AI convergence courses and applying them to the education of enrolled students.

Abstract

In a future society where cutting-edge science technology such as artificial intelligence becomes commonplace, the demand for talented people with basic knowledge of mathematics and science is expected to increase continuously, and the educational infrastructure suitable for the characteristics of future generations is still insufficient. In particular, in the case of students taking convergence courses including practical training, there was a problem in communication with the instructor. In this study, we looked at the current status of distance learning at domestic universities that came suddenly due to the global pandemic of COVID-19. In addition, a case study of the use of technology was conducted to facilitate the interaction between instructors and learners through case analysis of distance classes in convergence subjects. Therefore, this study aims to introduce the case of developing lecture contents for smooth convergence education in a non-face-to-face educational environment targeting the developed AI convergence courses and applying them to the education of enrolled students.

참고문헌 (8)

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  2. Bourne, J., "Online engineering education : Learning anywhere, anytime", Journal of Engineering Education, 94, pp.131~146 (2005)
  3. Dew, R., "Creative resolve response : How changes in creative motivation relate to cognitive style", Journal of Management Development, 28(10), pp.945~966 (2009)
  4. Glynn, M. A., "Innovative Genius : A framework for relating individual and organizational intelligences to innovation", Academy of Management Review, 21(4), pp.1081~1111 (1996)
  5. 하대현, "T. Amabile의 창의성 이론에 근거한 동기와 창의성간의 관계 연구", 교육학연구, 40(2), pp.6~142 (2002), 한국교육학회
  6. Janssen, O., "Voicing by adapting and innovation employees : An empirical study on how personality and environment interact to affect voice behavior", Human Relations, 51(7), pp.945~967 (1998)
  7. Michaelsen, L. K., "Team-based learning in large classes" (2004), Team-based learning
  8. Shalley, C. E., "The effects of personal and contextual characteristics on creativity", Journal of Management, 30(6), pp.933~958 (2004)

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