융합정보논문지 (Journal of Convergence for Information Technology)

중소기업융합학회 (Convergence Society for SMB)
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문제해결학습 기반의 소프트웨어 교육에 대한 만족도와 학업 성적의 상관관계 분석

Analysis of Correlation between Satisfaction and Academic Achievement of Software Education Based on Problem-solving Learning

  • 이영석 (강남대학교 KNU 참인재대학) ;
  • 조정원 (제주대학교 컴퓨터교육과)
  • Lee, Youngseok (KNU College of Liberal Arts and Sciences, Kangnam University) ;
  • Cho, Jungwon (Department of Computer Education, Jeju National University)
  • 투고 : 2019.01.14
  • 심사 : 2019.02.20
  • 발행 : 2019.02.28
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초록

대학 교육은 컴퓨팅 사고력 기반의 융합 인재 양성을 강조하고 있으며, 문제 해결력을 향상시키기 위해 소프트웨어 교육을 강조하고 있다. 본 연구에서는 문제해결학습 기반의 파이선 프로그래밍을 통한 소프트웨어 교육을 실시하고, 이에 대한 만족도와 학업 성적간의 상관관계를 분석한다. 문제해결학습 기반의 소프트웨어 교육을 받는 대학생 143명을 대상으로 설문조사를 실시한 결과, 실제 학업 성적과의 상관관계 분석과 다중회귀분석을 통해 문제해결학습의 만족도와 학업 성적 간에 관련성이 있고, 학업 성적에도 영향을 주는 것으로 나타났다. 다양한 문제상황을 파악하고 컴퓨팅 사고력을 활용하여 문제를 해결하는 능력은 점점 더 중요해질 것이므로, 대학 소프트웨어 교육은 문제해결학습 기반으로 실시하는 것이 바람직한 방향이 될 것이다.

University education emphasizes the development of convergent as well as computational thinking, many universities provide software education to improve their problem-solving ability. In this study, we use Python programming based on problem-solving learning, and analyze the correlation between problem-solving learning satisfaction and academic achievement. A questionnaire survey was conducted among 143 students, we tried to analyze the relationship of problem-solving learning with actual academic performance using correlation and multiple regression analysis. The results indicate a relationship between satisfaction and academic achievement, and that it affects students' academic achievement. The ability to identify various problem situations and solve problems using computational thinking will become increasingly important, it is desirable that the universities provide software education based on problem-solving learning.

키워드

Table 1. Detailed criteria for satisfaction with software education based on problem-solving learning

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Table 2. A questionnaire survey

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Table 5. The results of correlation analysis

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Table 6. The results of multiple regression analysis

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Table 3. The results of descriptive table

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Table 4. The results of ANOVA analysis

JKOHBZ_2019_v9n2_49_t0006.png 이미지

참고문헌

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