Research Article

Development of Computational Thinking Scale: Validity and Reliability Study

Volume: 5 Number: 3 August 15, 2019
  • Buket Ertugrul-akyol *
EN

Development of Computational Thinking Scale: Validity and Reliability Study

Abstract

Computational thinking is a way of thinking that covers 21st century skills and includes new generation concepts such as robotics, coding, informatics and information construction. Computational thinking has reached an important point especially in the field of science in line with the rapid developments in technology. Robotics applications, software-based activities, STEM (Science, Technology, Engineering, Math) education and problem-based studies are some of the areas where this thinking is used. In this study, which is based on this point, it is aimed to develop a scale for computational thinking. Exploratory sequential design, one of the mixed research methods, was used in the study. First of all, a detailed literature review was conducted and needs analysis was carried out. This study consists of two stages. In the first stage, exploratory factor analysis was performed and analyzed with SPSS 23 program. In the second stage, confirmatory factor analysis was performed and analyzed with LISREL 9.2 program. As a result of the study, the goodness of fit indexes of the scale was found. According to this; X2/df value 1.81; NNFI value 0.97; NFI value 0.93; CFI value 0.98; RMR value 0.05; SRMR value 0.04; AGFI value 0.91 and GFI value was found to be 0.93. When the reliability values of the study were examined, Cronbach’s Alpha value was found to be 0.86. As a result of the research, a computational thinking scale consisting of 3 factors and 30 items was developed. This scale was developed for prospective teachers and can be used at all levels of prospective teachers.

Keywords

References

  1. Acar, I. H. (2017). Karma yontem arastirmalarina giris [Introduction to mixed method research]. In M. Sozbilir (Eds.). Temel ve gelismis karma yontem desenleri [Basic and advanced mixed method designs] (pp. 35-51). Ankara, Turkey: Pegem Academy.
  2. Aho, A. V. (2012). Computation and computational thinking. The Computer Journal, 55(7), 832-835.
  3. Ardies, J., Maeyer, S.D., & Gijbels, D. (2013). Reconstructing the pupils attitude towards technology survey. Design and Technology Education: An International Journal, 18(1), 8-19.
  4. Barr, V. (2014). Computational thinking. In T. Gonzalez & A. Tucker (Eds.), Computation handbook (3rd ed.). Abingdon, UK: Chapman & Hall/CRC Press.
  5. Brennan, K., & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. In Proceedings of the 2012 Annual Meeting of the American Educational Research Association. Vancouver, Canada.
  6. Burton, B. A. (2010). Encouraging algorithmic thinking without a computer. Olympiads in Informatics, 4, 3-14.
  7. Buyukozturk, S. (2010). Sosyal bilimler icin veri analizi el kitabi: Istatistik, arastirma deseni SPSS uygulamalari ve yorum [Data analysis manual for social sciences: Statistics, research design SPSS applications and interpretation] (11th ed.). Ankara, Turkey: Pegem Academy.
  8. Calvini, A., Fini, A., & Ranieri M. (2008). Models and instruments for assessing digital competence at school. Journal of E-Learning and Knowledge Society, 3(4), 183-193.

Details

Primary Language

English

Subjects

Studies on Education

Journal Section

Research Article

Authors

Buket Ertugrul-akyol * This is me
Türkiye

Publication Date

August 15, 2019

Submission Date

June 23, 2019

Acceptance Date

July 30, 2019

Published in Issue

Year 2019 Volume: 5 Number: 3

APA
Ertugrul-akyol, B. (2019). Development of Computational Thinking Scale: Validity and Reliability Study. International Journal of Educational Methodology, 5(3), 421-432. https://doi.org/10.12973/ijem.5.3.421