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Application and Effect Analysis of ARCS Model to Improve Learner's Learning Motivation in Liberal Computational Thinking Subjects

교양 컴퓨팅 사고력 과목의 학습자 학습동기 향상을 위한 ARCS 모델의 적용 및 효과 분석

  • Jun, Soo-jin (Department of Innovation and Convergence, Hoseo University) ;
  • Shin, ChwaCheol (Department of Innovation and Convergence, Hoseo University)
  • Received : 2020.01.23
  • Accepted : 2020.01.31
  • Published : 2020.02.29

Abstract

The purpose of this study is to analyze the effects of computational thinking class using ARCS model to increase students' learning motivation. Then, this study designed the detailed instruction strategy according to each motivation factor(Attention, Relevance, Confidence, Satisfaction) of ARCS through the previous study on computational thinking education and ARCS model. The results of the ARCS test were compared between the experimental group to which the ARCS model was applied and the control group to which the general class was conducted. As a result, students in the experimental group showed significantly higher motivation for learning about computational thinking. In particular, the learning motivation of computer-related majors was significantly higher than that of the control group. In addition, majors were found to have high relevance(R) and non-majors had high satisfaction(S). Therefore, based on these findings, this study suggests an improvement for effective computational thinking class in liberal arts education.

본 연구의 목적은 ARCS 모형을 적용한 컴퓨팅 사고력 수업에 대한 효과를 분석하는 것이다. 이에 본 연구에서는 컴퓨팅 사고력 교육과 ARCS 모델에 대한 선행연구를 통해 ARCS의 각 동기요소(주의집중(A), 관련성(R), 자신감(C), 만족감(S))에 따른 세부 수업 전략을 설계하였다. 그리고 ARCS 모델을 적용한 실험반과 일반적인 수업을 실시한 비교반의 학습동기 검사결과를 비교하였다. 그 결과, 실험반의 학생들이 컴퓨팅 사고력 수업에 대한 학습동기가 유의미하게 높게 나타났다. 특히 컴퓨터 전공 관련 학생들의 학습 동기는 비교반에 비해 현저히 높게 나타났으며 전공 학생들은 관련성(R) 영역이, 비전공 학생들은 만족감(S) 영역이 높게 나타났다. 따라서 본 연구에서는 이러한 결과를 토대로 향후 효과적인 교양 교육에서의 컴퓨팅 사고력 수업에 대한 개선을 제안하였다.

Keywords

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