• Title/Summary/Keyword: Dr. Scratch

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Analysis of Computational Thinking Level Through the Scratch Project Analyzation (스크래치 프로젝트 분석을 통한 컴퓨팅사고력 수준 분석)

  • Park, SunJu
    • Journal of The Korean Association of Information Education
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    • v.22 no.6
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    • pp.661-669
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    • 2018
  • As SW education has become essential since 2018 due to the revised curriculum in 2015, researches on SW education are actively being carried out. In order to understand the level of pre-service teachers' computational thinking level, we analyzed a correlation of CT element scores with each year and each grade based on the calculated Scratch project by years using the analysis tool Dr. Scratch, which was targeted for 325 students in K National University of Education who passed the scratch course from 2016 to 2018. The result indicated that there is a positive correlation between all the CT related factors and both the year and the grade. Conclusionally, it is crucial to have students undergo revising process by using an automated evaluation tool such as Dr. Scratch and cultivate ability to create and utilize required materials. Furthermore, it is necessary to educate students to utilize logical thinking elements such as complex conditions and logic operations.

Evaluation of Computational Thinking through Code Analysis of Elementary School Students' Scratch Projects (초등학생의 스크래치 프로젝트 코드 분석을 통한 컴퓨팅 사고력 평가)

  • Park, Juyeon
    • Journal of The Korean Association of Information Education
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    • v.23 no.3
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    • pp.207-217
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    • 2019
  • In order to improve computational thinking, elementary schools have been using 'Scratch' to provide basic programming education. However, the study on evaluation of computational thinking is at an early stage. Therefore, this study evaluated the conceptual level of computational thinking using the scratch code analyzing. For this, Dr. Scratch was used to analyze 179 scratch projects. The results showed that the conceptual level of computational thinking of most elementary students was at the developing level, and that it varied according to gender and production style, showed the lowest level of logic and abstraction, and improved computational thinking during programming. This study is meaningful in that it provides implications for the improvement of teaching methods and self-directed evaluation in learning.

A Complementary Approach of Three Methods for Computational Thinking Assessment (컴퓨팅 사고력 평가를 위한 3가지 상호보완적 접근 방안)

  • Choi, Hyungshin;Kim, Mi Song
    • Journal of The Korean Association of Information Education
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    • v.21 no.6
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    • pp.639-646
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    • 2017
  • As computational thinking(CT) is gaining focus as a key 21st century skill much attention has been paid to promoting CT through software education. However, more studies are needed to design and implement effective CT assessment methods. This study aims to investigate the effects of three CT assessment methods in a course designed to enhance CT competencies of 52 pre-service teachers with a non-computer science background during one semester. To analyze pre-service teachers' CT competencies, we used 3 CT assessment methods: (1) pre-and post-testing based on Bebras computational thinking challenge questions, (2) Dr. Scratch to analyze group scratch projects automatically, and (3) scratch exam designed in this study to evaluate the development of CT. Our results show the positive effects of integrating assessment methods for promoting CT competencies. We end this paper with the discussion of advantages and implications of this integration.

A Study on the Effectiveness of CT-TDPS Learning Model in Problem Solving Programming using Scratch (스크래치를 이용한 문제해결 프로그래밍에서 CT-TDPS 학습 모형의 효과성 연구)

  • Kim, Young-Jik;Kim, Seong-Sik
    • The Journal of Korean Association of Computer Education
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    • v.23 no.3
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    • pp.41-47
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    • 2020
  • Computational Thinking(CT) is drawing attention as a core competency required for future talent in the 21st century. Software education for improving CT ability at home and abroad is in full swing. Among them, problem-solving programming education helps to improve CT ability. The CT-TDPS learning model follows the decomposition, abstraction thinking process, which modularizes complex problems, and the Agile development method, which is an iterative and incremental programming method to implement it. In this study, we tried to confirm the improvement of CT ability by applying CT-TDPS learning model to problem solving programming education using Scratch. As a result of the study, it was confirmed that in the problem solving programming education using the CT-TDPS learning model, it improved in all aspects of computing concept, computing performance, and computing perspective, which are sub-factors of CT ability. In addition, it was confirmed that there was a significant difference in the experimental group as a result of the t-test on the Dr.Scratch automatic evaluation result.