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The Study on the Software Educational Needs by Applying Text Content Analysis Method: The Case of the A University

텍스트 내용분석 방법을 적용한 소프트웨어 교육 요구조사 분석: A대학을 중심으로

  • Park, Geum-Ju (Center for Teaching and Learning, Dankook University)
  • 박금주 (단국대학교 교수학습개발센터)
  • Received : 2018.12.20
  • Accepted : 2019.03.08
  • Published : 2019.03.31

Abstract

The purpose of this study is to understand the college students' needs for software curriculum which based on surveys from educational satisfaction of the software lecture evaluation, as well as to find out the improvement plan by applying the text content analysis method. The research method used the text content analysis program to calculate the frequency of words occurrence, key words selection, co-occurrence frequency of key words, and analyzed the text center and network analysis by using the network analysis program. As a result of this research, the decent points of the software education network are mentioned with 'lecturer' is the most frequently occurrence after then with 'kindness', 'student', 'explanation', 'coding'. The network analysis of the shortage points has been the most mention of 'lecture', 'wish to', 'student', 'lecturer', 'assignment', 'coding', 'difficult', and 'announcement' which are mentioned together. The comprehensive network analysis of both good and shortage points has compared among key words, we can figure out difference among the key words: for example, 'group activity or task', 'assignment', 'difficulty on level of lecture', and 'thinking about lecturer'. Also, from this difference, we can provide that the lack of proper role of individual staff at group activities, difficult and excessive tasks, awareness of the difficulty and necessity of software education, lack of instructor's teaching method and feedback. Therefore, it is necessary to examine not only how the grouping of software education (activities) and giving assignments (or tasks), but also how carried out group activities and tasks and monitored about the contents of lectures, teaching methods, the ratio of practice and design thinking.

본 연구는 대학생을 대상으로 시행되고 있는 소프트웨어 교육의 강의평가결과에 대해 텍스트 내용분석 방법을 적용하여 수강생의 요구사항을 파악하고 개선방안을 도출하는 데 목적이 있다. 연구방법은 텍스트 내용분석 프로그램을 활용해 단어출현빈도, 핵심단어 선정, 핵심단어의 공출현빈도를 산출하고, 네트워크 분석 프로그램을 활용해 텍스트 중앙성 분석, 네트워크 분석을 실시하였다. 연구결과, 소프트웨어 교육의 좋은 점 네트워크는 '교수님'에 대한 언급이 가장 많고 '친절', '학생', '설명', '코딩'과 함께 언급되고 있다. 개선점 네트워크는 '강의'에 대한 언급이 가장 많고 '좋겠다', '학생', '교수님', '과제', '코딩', '어려운', '발표'가 함께 언급되었다. 좋은 점과 개선점에 대한 네트워크 비교 분석에서 공통으로 언급된 핵심 단어 중 조별(활동), 과제, 수업의 난이도, 교수자에 대한 생각에서 차이를 보였다. 이러한 생각 차이는 강의평가 내용을 통해, 개별 조원의 적절한 역할 부족, 어렵고 과다한 과제, 소프트웨어 교육의 난이도와 필요성에 대한 인식, 교수자의 수업방식과 피드백의 부족을 확인할 수 있었다. 따라서, 소프트웨어 교육의 조별(활동)과 과제부여가 어떻게 이루어지고 있는지 살펴보고 강의내용과 교수방법, 실습과 디자인 싱킹을 다루는 비율에 대한 점검이 필요하다.

Keywords

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Fig. 1. Status of Software curriculums in A university

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Fig. 2. Data collection and analysis methods

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Fig. 3. Frequency of occurrence of key words

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Fig. 4. The good points of software curriculums: co-occurrence frequency

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Fig. 5. The improvement points of software curriculums: co-occurrence frequency

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Fig. 6. Network analysis for the good points

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Fig. 7. Network analysis for the shortage points

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Fig. 8. The analysis of text centrality

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Fig. 9. Comparing network analysis for the good and shortage points

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