• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.591-592
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• 2020

본 연구에서는 코로나19 사태로 인해 대학교육에서 전면적으로 실시되고 있는 온라인 강의 환경에서 플립러닝의 학습효과를 규명하였다. 실시간 온라인 프로그래밍 수업에서 85명의 학습자를 대상으로 설문을 분석한 결과, 학습내용이해도에 대해서는 학습활동의 적절성이, 만족도에 대해서는 교수자지원과 학습내용의 적절성이, 역량향상도에 대해서는 교수자지원이 유의한 영향을 미치는 것으로 나타났다. 연구결과를 바탕으로 프로그래밍교육을 위한 실시간 온라인 강의에서 플립러닝 설계 및 운영 전략에 대한 시사점을 제언하였다.

• Journal of Practical Engineering Education
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• v.14 no.1
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• pp.75-83
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• 2022

Most of the courses that teach the Python programming language are liberal arts courses that all students in general universities must complete. Through this, non-major students who have learned the basic programming process based on computational thinking are strengthening their convergence capabilities to apply SW in various major fields. In the previous research results, various evaluation methods for understanding the concept of computational thinking and writing code were suggested. However, there are no examples of evaluation problems, so it is difficult to apply them in actual course operation. Accordingly, in this paper, a Python basic programming curriculum that can be applied as a liberal arts subject for non-majors is proposed according to the ADDIE model. In addition, the case of evaluation problems for each Python element according to the proposed detailed curriculum was divided into 1st and 2nd phases and suggested. Finally, the validity of the proposed evaluation problem was analyzed based on the evaluation scores of non-major students calculated in the course to which this evaluation problem case was applied. It was confirmed that the proposed evaluation problem case was applied as a real-time online non-face-to-face evaluation method to effectively evaluate the programming competency of non-major students.