Research Article

Adaptation of T-STEM CT Scale to Turkish: Teacher Self-Efficacy and Outcome Expectancy for Teaching Computational Thinking

Volume: 6 Number: Special Issue April 30, 2022
EN

Adaptation of T-STEM CT Scale to Turkish: Teacher Self-Efficacy and Outcome Expectancy for Teaching Computational Thinking

Abstract

Computational thinking (CT) skills are accepted as fundamental literacy. Although the idea that K-12 teachers should teach students CT skills in an interdisciplinary context is heavily expressed, there is a need for a measurement tool in Turkish that measures teachers' self-efficacy in this regard. This study aims to adapt the T-STEM CT scale, developed by Boulden et al. (2021), into Turkish and to carry out validity and reliability studies of this scale. The original scale consists of a 5-point Likert scale and 13 items. The participants of this study consisted of 168 teachers from different branches working in K-12 schools. It was carried out by selecting for application purposes and a convenient sampling method. Various validity and reliability methods were used to validate the scale. According to the results, the two-factor (Factor1: T-STEM CT self-efficacy, Factor2: T-STEM CT outcome expectancy) and thirteen-item structure had an acceptable fit with the data. Consequently, the validity and reliability of a Turkish tool measuring teaching efficacy beliefs for computational thinking skills were confirmed.

Keywords

References

  1. Aho, A. V. (2012). Computation and computational thinking. The Computer Journal, 55(7), 832-835. https://doi.org/10.1093/comjnl/bxs074
  2. Atmatzidou, S., & Demetriadis, S. (2016). Advancing students’ computational thinking skills through educational robotics: A study on age and gender relevant differences. Robotics and Autonomous Systems, 75, 661-670. https://doi.org/10.1016/j.robot.2015.10.008
  3. Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94.
  4. Barr, D., Harrison, J., & Conery, L. (2011). Computational thinking: A digital age skill for everyone. Learning & Leading with Technology, 38(6), 20-23.
  5. Barr, V., & Stephenson, C. (2011). Bringing computational thinking to K-12: What is involved and what is the role of the computer science education community? Acm Inroads, 2(1), 48-54. https://doi.org/10.1145/1929887.1929905
  6. Basogain, X., Olabe, M., Olabe, J., Maiz, I., & Castaño, C. (2012). Mathematics Education through Programming Languages. 21st Annual World Congress on Learning Disabilities, In 21st annual world congress on learning disabilities (pp. 553-559).
  7. Bell, J., & Bell, T. (2018). Integrating computational thinking with a music education context. Informatics in Education, 17(2), 151-166. https://www.doi.org/10.15388/infedu.2018.09
  8. Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological bulletin, 88(3), 588. https://doi.org/10.1037/0033-2909.88.3.588

Details

Primary Language

English

Subjects

Studies on Education

Journal Section

Research Article

Publication Date

April 30, 2022

Submission Date

February 28, 2022

Acceptance Date

April 6, 2022

Published in Issue

Year 2022 Volume: 6 Number: Special Issue

APA
Sarıtepeci, M., & Durak, A. (2022). Adaptation of T-STEM CT Scale to Turkish: Teacher Self-Efficacy and Outcome Expectancy for Teaching Computational Thinking. Research on Education and Psychology, 6(Special Issue), 47-56. https://doi.org/10.54535/rep.1080132

Cited By

17908

All the articles published in REP are licensed with "Creative Commons Attribution 4.0 International License"