Toward Developing a Real-World Computational Thinking Test Tool from Existing Models
Youngseok Lee1, Jungwon Cho2

1Youngseok Lee, KNU College of Liberal Arts and Sciences, Kangnam University, Yongin-si, South Korea.
2Jungwon Cho, Department of Computer Education, Jeju National University, Jeju-si, South Korea.
Manuscript received on 19 August 2019 | Revised Manuscript received on 29 August 2019 | Manuscript Published on 16 September 2019 | PP: 389-393 | Volume-8 Issue-2S6 July 2019 | Retrieval Number: B10730782S619/2019©BEIESP | DOI: 10.35940/ijrte.B1073.0782S619
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: Various researches are always being carried out to measure the effectiveness of software education. We analyzed previously developed computational thinking tools and studied their practical application and verification methods. Using this information, we developed a 20-item questionnaire to categorize the tools by the abilities they measured: analysis, design, implementation, and reasoning. We surveyed college freshman and 204 students in computer programming subjects in liberal arts and then conducted an exploratory factor analysis to analyze the validity and reliability of our questionnaire test tool. Our test showed that previously used computational testing tools lacked the ability to measure problem-solving processes based on computational thinking. To solve this problem, we revised the questionnaire items to consider the problem-solving process based on computational thinking and proposed a tool that can check the computational thinking through the material of real life using the students’ empirical knowledge. The statistical analysis was as follows: analysis ability (reliability α = .895); design ability (reliability α = .727); implementation ability (reliability α = .745), and reasoning ability (reliability α = .833). To measure computing errors, you need a testing tool that can address real-world problems. We aimed to develop a research tool for measuring computational thinking based on the case of applying and revising existing test tools.
Keywords: Computational Thinking, Testing Tools, Exploratory Factors Analysis, Software Education.
Scope of the Article: Computational Economics, Digital Photogrammetric