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The concept presentation method presented in the middle school informatics textbook Impact on learners' understanding

중학교 정보교과 개념 제시 방법이 학습 이해도에 미치는 영향

  • Received : 2019.01.24
  • Accepted : 2019.04.05
  • Published : 2019.04.30

Abstract

The 2015 revised information curriculum emphasizes the ability to solve problems in real life based on the basic concepts, principles and techniques of computer science. How the contents of textbooks are designed is an important issue in terms of achievement of educational goals and whether contents can be easily and clearly communicated. The purpose of this study is to analyze the concept presentation method presented in middle school informatics textbooks by three types of text- centered type, picture-centered type, and case-centered type- to analyze differences in understanding according to individual variables (sex, subject preference). Analysis results found the figure-centered type showed the highest degree of comprehension among students, and the preference of contents design type and the difference of understanding according to sex did not show significant differences. According to the preferred subjects, understanding of the content design types were found to be significantly different according to preferred subjects.

2015 개정 정보 교과에서는 컴퓨터 과학의 기본 개념과 원리 및 기술을 바탕으로 실생활과 다양한 학문 분야의 문제를 창의적이고 효율적으로 해결할 수 있는 능력을 강조하고 있다. 교과서의 내용이 어떻게 설계되어 있는지는 이러한 교육 목표 달성 여부와 교육 내용을 쉽고 명확하게 전달할 수 있느냐에 있어 중요한 문제이다. 본 연구는 중학교 정보 교과서에 제시된 개념 제시 방법을 텍스트 중심 유형, 그림 중심 유형, 사례 중심 유형의 3가지로 분석하여 학생의 개인 변인(성별, 선호 과목)에 따라 이해도에 어떤 차이가 있는지 분석해보고자 수행되었다. 서울 소재 중학교 1학년 학생 75명을 대상으로 개념 제시 방법을 제시하기에 앞서 사전 진단평가를 실시하고 개념 제시 방법을 제시한 후 학생들의 이해도를 평가하는 사후 평가지와 선호도를 묻는 설문지를 제시하였다. 분석 결과 그림 중심 유형이 가장 높은 이해도를 보였으며 개념 제시 방법의 선호도와 성별에 따른 이해도 차이는 유의미하게 나타나지 않았다. 선호하는 과목에 따라 개념 제시 방법의 이해도 차이는 선호하는 과목에 따라 유의미한 차이가 있는 것으로 나타났다.

Keywords

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Table 1. Content presentation method

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Fig. 1. Text centered type

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Fig. 2. Image centered type

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Fig. 3. Case centered type

Table 2. Content presentation method of three textbooks

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Table 3. Demographic characteristics

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Table 4. Understanding analysis result by content design type

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Table 5. Preference analysis result by content design type

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Table 6. Understanding analysis result by gender

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Table 7. Understanding analysis result by subject preference

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