Journals / Participatory Educational Research / 2023 / Cilt: 10 - Sayı: 2

An Evaluation of the Effect of Activity-Based Computational Thinking Education on Teachers: A Case Study

Pages
1–25
Publication Date
2023-03-30
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Our findings revealed that thanks to the teaching practices performed, classroom teachers had significantly higher problem solving, diverse thinking, algorithmic thinking, and computational thinking total scores, while preschool teachers achieved significantly higher total scores in algorithmic thinking skills and computational thinking.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study aimed to conduct an in-depth evaluation of the activity-based computational thinking teaching practices performed to improve computational thinking and teaching skills of the basic education teachers.
📊
Key Findings & Data:As a result of the collaborative work of five experts, a 20-hour education program built on two core competencies, four sub-competencies and eight thinking skills was implemented.
💡
Conclusion & Impact:Our findings revealed that thanks to the teaching practices performed, classroom teachers had significantly higher problem solving, diverse thinking, algorithmic thinking, and computational thinking total scores, while preschool teachers achieved significantly higher total scores in algorithmic thinking skills and computational thinking.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Computational thinking · activity-based teaching · teacher education

Abstract

This study aimed to conduct an in-depth evaluation of the activity-based computational thinking teaching practices performed to improve computational thinking and teaching skills of the basic education teachers. Based on the aim of the study, the case study design, one of the qualitative research methods, was selected. As a result of the collaborative work of five experts, a 20-hour education program built on two core competencies, four sub-competencies and eight thinking skills was implemented. The participants were 40 teachers, 20 of whom were classroom teachers and 20 of whom were pre-school teachers. Data were collected from three different sources using five data collection tools in order to conduct an in-depth analysis of the practices. Quantitative and qualitative data collection tools were used in a combined fashion in the research. The data were analyzed through content analysis and non-parametric analyses. Our findings revealed that thanks to the teaching practices performed, classroom teachers had significantly higher problem solving, diverse thinking, algorithmic thinking, and computational thinking total scores, while preschool teachers achieved significantly higher total scores in algorithmic thinking skills and computational thinking. It was observed that the participants defined computational thinking on the basis of 18 different thinking skills. The explanations of the participants about the functions of computational thinking skills were grouped under seven categories. When the principles that should be considered in the teaching of computational thinking skills were examined, it was seen that the need for utilizing scaffolds was stated the most.

🔖

Cite This Article

SALTALI, N. D., ÖZMUTLU, E. B., ERGAN, S. N., ÖZSOY, G., KORKMAZ, Ö. (2023). An Evaluation of the Effect of Activity-Based Computational Thinking Education on Teachers: A Case Study. Participatory Educational Research, Cilt: 10 - Sayı: 2, 1–25. https://ajindex.com/articles/892479

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (9)

  1. Akar, H. (2016). Case study. Qualitative research patterns in education. Ani Publishing. Angeli, C. (2021). The effects of scaffolded programming scripts on pre-service teachers’ computational thinking: Developing algorithmic thinking through programming robots. International Journal of Child-Computer Interaction, 100329. https://doi.org/10.1016/j.ijcci.2021.100329
  2. Angeli, C., & Valanides, N. (2020). Developing young children's computational thinking with educational robotics: An interaction effect between gender and scaffolding strategy. Computers in Human Behavior, 105, 105954. https://doi.org/10.1016/j.chb.2019.03.018
  3. Angeli, C., Voogt, J., Fluck, A., Webb, M., Cox, M., Malyn-Smith, J., & Zagami, J. (2016). A K-6 computational thinking curriculum framework: Implications for teacher knowledge. Journal of Educational Technology & Society, 19(3), 47-57. Available at: http://www.jstor.org/stable/jeductechsoci.19.3.47 Access date: 12.12.2021.
  4. 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
  5. Aydoğdu, E. (2019). Examination of students' algorithmic thinking skills in the process of non-computer activities. [Unpublished Master thesis]. Trabzon University. Barr, D., Harrison, J., & Conery, L. (2011). Computational thinking: a digital age skill for everyone, Available at: http://files.eric.ed.gov/fulltext/EJ918910.pdf Access date: 1.12.2021.
  6. 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
  7. Bell, T., Alexander, J., Freeman, J. & Grimley, M. (2009). Computer science unplugged: school students doing real computing without computers. New Zealand Journal of Applied Computing and Information Technology, 13(1), 20-29. Available at: https://purehost.bath.ac.uk/ws/files/214932627/NZJACIT_Unplugged.pdf Access date: 20.11.2021.
  8. Blum, L., & Cortina, T. J. (2007). CS4HS: An outreach program for high school CS teachers. ACM SIGCSE Bulletin, 39(1), 19-23. https://doi.org/10.1145/1227504.1227320
  9. Bocconi, S., Chioccariello, A., Dettori, G., Ferrari, A., Engelhardt, K., Kampylis, P., & Punie, Y. (2016, June). Exploring the field of computational thinking as a 21st century skill. In Proceedings of the I