Araştırma Makalesi

Integrating Computational Thinking into Mathematics Education: Its Effects On Achievement, Motivation, And Learning Strategies

Cilt: 19 Sayı: 42 30 Haziran 2024
PDF İndir
EN TR

Integrating Computational Thinking into Mathematics Education: Its Effects On Achievement, Motivation, And Learning Strategies

Abstract

This study aimed to explore the impact of mathematics instruction supplemented with CT activities on mathematics achievement, motivation, and learning techniques. A quasi-experimental research design involving a pretest-posttest control group was used for the present study. Research was carried out in a Turkish middle school with sixth-grade pupils in a mathematics class. The courses were provided via CT tasks to the experimental group. CT tasks were performed using a scratch-block-based coding tool. The results showed that the experimental group had much higher mathematical performance than the control group. Furthermore, substantial differences were discovered in favor of the experimental group in the motivation scale sub-dimension of learning control belief and the learning methods scale sub-dimension of time and study environment. The results of this research show that mathematics instruction supplemented with CT activities is effective in enhancing students' mathematical achievement. This helps students to organize their study time and environment effectively. This also reinforces the belief that learning objectives provide successful outcomes. Thus, computer laboratories should be considered essential alternatives for mathematical instruction.

Keywords

Kaynakça

  1. Akkuş-Çakır, N., & Senemoğlu, N. (2016). Analytical thinking skills in higher education. Kastamonu Eğitim Dergisi, 24(3), 1487-1502.
  2. 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.
  3. Aslan, Ö. (2007). Bilgi toplumunda teknolojinin ve teknoloji politikalarının yeri (Tez No. 217574) (Doktora Tezi, İstanbul Üniversitesi- İstanbul). Yükseköğretim Kurulu Başkanlığı Tez Merkezi.
  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. Bandura, A. (1997). Self-efficacy: The exercise of control. W H Freeman/Times Books/ Henry Holt & Co.
  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.
  7. Başün, A. R. (2016). Oyunla Öğretimin Çarpanlar ve Katlar Alt Öğrenme Alanında Başarı ve Kalıcılığa Etkisi. (Tez No. 442978) (Yüksek Lisans Tezi, Ondokuz Mayıs Üniversitesi- Samsun). Yükseköğretim Kurulu Başkanlığı Tez Merkezi.
  8. Beletti, C., & Vaillant, D. (2022). Self-regulation and learning strategies of beginner and advanced university students. Cuadernos de Investigación Educativa, 13(2). https://doi.org/10.18861/cied.2022.13.2.3255.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Matematik Eğitimi

Bölüm

Araştırma Makalesi

Erken Görünüm Tarihi

13 Haziran 2024

Yayımlanma Tarihi

30 Haziran 2024

Gönderilme Tarihi

3 Kasım 2023

Kabul Tarihi

27 Şubat 2024

Yayımlandığı Sayı

Yıl 2024 Cilt: 19 Sayı: 42

Kaynak Göster

APA
Top, O., & Arabacıoglu, T. (2024). Integrating Computational Thinking into Mathematics Education: Its Effects On Achievement, Motivation, And Learning Strategies. Bayburt Eğitim Fakültesi Dergisi, 19(42), 2034-2066. https://doi.org/10.35675/befdergi.1385749

Cited By