Middle school students' views on mathematical situations designed with Scratch

Year 2025, Volume: 8 Issue: 2, 190 - 205, 31.05.2025

Elif Çelik , Sevim Sevgi

https://doi.org/10.31681/jetol.1636413

Abstract

This research investigates the impact of mathematical problems created with Scratch on the problem-solving skills of 8th-grade middle school students. The research was based on the descriptive design of mixed research approaches. In this direction, the research model was single-group pretest-posttest design, which is a weak experimental design from experimental designs. Qualitative data were collected using the interview technique to complete the experimental design for the research. The participants were eight students studying in the 8th grade at Vocational Religious School at 2022-2023 academic year in central Anatolia, Turkey. Coding activities created with the Scratch program, developed by the researcher and containing mathematical situations, were carried out with the students. At the end of the activities, the data obtained from semi-structured interviews with 6 volunteer students were analyzed using the descriptive analysis technique. The mathematical algorithms designed with Scratch developed positive attitudes in students. The majority of the students did not experience any difficulties. Recommendations were made regarding the necessity of a strategic focus on the integration of computational thinking into the current curriculum in primary and middle school education and the evaluation of its effects on achievement.

Keywords

Computational Thinking , Middle School Students , Problem-Solving Skills , Scratch

References

• Alp, G. (2019). Scratch programı ile web destekli işbirlikli öğrenme yönteminin ilkokul 5. sınıf öğrencilerinin kavramsal anlama düzeylerine ve eleştirel düşünme becerilerine etkisi (Thesis number. 543479) [Master’s Thesis, Bursa Uludağ University]. Higher Council of Education.
• Bakır, E. E. (2023). Blok tabanlı Scratch eğitimi ve uygulamalarının okul öncesi öğretmen adaylarının bilimsel yaratıcılık ve bilgi işlemsel düşünme becerilerine etkisinin incelenmesi (Thesis number. 805462) [Master’s Thesis, Kastamonu University]. Higher Council of Education.
• Büyüköztürk, Ş. (2023). Sosyal bilimler için veri analizi el kitabı istatistik, araştırma deseni SPSS uygulamaları ve yorum. Pegem Academy.
• Büyüköztürk, Ş., Kılıç-Çakmak, E., Akgün, Ö., Karadeniz, Ş. & Demirel, F. (2008). Eğitimde bilimsel araştırma yöntemleri. Pegem Academy. doi.org/10.14527/9789944919289
• Çelik, E. (2024). Scratch kullanımının matematiksel problem çözme becerilerine etkisi. (Thesis number. 868062) [Master’s Thesis, Erciyes University]. Higher Council of Education.
• Erol, O. (2016). Scratch ile programlama öğretiminin bilişim teknolojileri öğretmen adaylarının motivasyon ve başarılarına etkisi (Thesis number. 395186) [Doctoral Thesis, Anadolu University]. Higher Council of Education.
• Erol, O. & Çırak, N. S. (2022). The effect of a programming tool scratch on the problem-solving skills of middle school students. Education and Information Technologies, 27(3), 4065-4086. https://doi.org/10.1007/s10639-021-10776-w
• Fagerlund, J., Häkkinen, P., Vesisenaho, M. & Viiri, J. (2021). Computational thinking in programming with Scratch in primary schools: A systematic review. Computer Applications in Engineering Education, 29(1), 12-28. https://doi.org/10.1002/cae.22255
• Gagné, R. M. (1985). The conditions of learning and theory of instruction (4 edition). Holt, Rinehart and Winston.
• Genç, Z. & Karakuş, S. (2013). Tasarımla öğrenme: eğitsel bilgisayar oyunları tasarımında Scratch kullanımı. In Z. Genç, International Computer & Instructional Technologies Symposium (pp. 22-24). 5th International Computer & Instructional Technologies Symposium. Elazığ, Türkiye.
• Green, A. J. & Gilhooly, K. (2005). Problem solving. In Cognitive psychology (pp. 347-366).
• Gültepe, A. (2018). Kodlama öğretimi yapan bilişim teknolojileri öğretmenleri gözüyle öğrenciler kodluyor. Uluslararası Liderlik Eğitimi Dergisi, 2(2), 50-60.
• Howard, N. R. & Howard, K. E. (2020). Coding+ Math: Strengthen K–5 math skills with computer science. International Society for Technology in Education.
• Hwang, W. Y., Wang, C. Y., Hwang, G. J., Huang, Y. M. & Huang, S. (2008). A web-based programming learning environment to support cognitive development. Interacting with Computers, 20(6), 524-534. https://doi.org/10.1016/j.intcom.2008.07.002
• Ioannidou, A., Bennett, V., Repenning, A., Koh, K. H. & Basawapatna, A. (2011). Computational thinking patterns [White paper]. AERA. https://files.eric.ed.gov/fulltext/ED520742.pdf
• Karataş, Z. (2015). Sosyal bilimlerde nitel araştırma yöntemleri. Manevi Temelli Sosyal Hizmet Araştırmaları Dergisi, 1(1), 62-80.
• Korkmaz, Ö. (2016). The effect of scratch-based game activities on students' attitudes, self-efficacy and academic achievement. International Journal Modern Education and Computer Science, 8(1), 16-23. https://doi.org/10.5815/ijmecs.2016.01.03
• Korkmaz, Ö. (2018). The effect of scratch-and Lego mindstorms Ev3-Based programming activities on academic achievement, problem-solving skills and logical-mathematical thinking skills of students. MOJES: Malaysian Online Journal of Educational Sciences, 4(3), 73-88.
• Lau, W. W. & Yuen, A. H. (2011). Modelling programming performance: Beyond the influence of learner characteristics. Computers & Education, 57(1), 1202-1213.
• Lye, S. Y. & Koh, J. H. L. (2014). Review on teaching and learning of computational thinking through programming: What is next for K-12? Computers in Human Behavior, 41, 51-61. https://doi.org/10.1016/j.chb.2014.09.012
• Marcelino, M. J., Pessoa, T., Vieira, C., Salvador, T. & Mendes, A. J. (2018). Learning computational thinking and scratch at distance. Computers in Human Behavior, 80, 470-477.
• Mayer, R. E. (1998). Cognitive, metacognitive, and motivational aspects of problem solving. Instructional Science, 26(1), 49-63.
• McGehee, J. J. (2001). Developing interdisciplinary units: A strategy based on problem solving. School Science and Mathematics, 101(7), 380-389.
• MoNE. (2023). Matematik Dersi Öğretim Programı [White paper]. MEB. https://mufredat.meb.gov.tr/ProgramDetay.aspx?PID=329
• Miller, M. & Nunn, G. D. (2001). Using group discussions to improve social problem-solving and learning. Education, 121(3), 470.
• OECD. (2013). “Problem-Solving Framework”, in PISA 2012 Assessment and Analytical Framework: Mathematics, Reading, Science, Problem Solving and Financial Literacy [White paper]. O. Publishing. https://doi.org/10.1787/9789264190511-en
• Papert, S. (1980). Mindstorms: Children, computers, and powerful ideas. Basic Books.
• Polya, G. (1945). How to solve it: A new aspect of mathematical method (Vol. 85). Princeton University Press.
• Repenning, A. (2006). Excuse me, I need better AI! Employing Collaborative Diffusion to make Game AI Child's Play. In A. Heirich, Sandbox '06: An ACM Video Game Symposium 2006 (pp. 169-178). Association for Computing Machinery. Proceedings of the 2006 ACM SIGGRAPH symposium on Videogames. Boston, Massachusetts https://doi.org/10.1145/1183316.1183341
• Ross, A. & Willson, V. L. (2018). Basic and advanced statistical tests: Writing results sections and creating tables and figures. Springer.
• Schoenfeld, A. H. (1983). The wild, wild, wild, wild, wild world of problem solving (A review of sorts). For the learning of mathematics, 3(3), 40-47.
• Şeker, Z. (2020). Dinleme ve konuşma becerilerine yönelik lisansüstü tezlerin anahtar kelimeleri üzerine bir inceleme: Betimsel analiz. RumeliDE Dil ve Edebiyat Araştırmaları Dergisi(19), 128-140.
• Taylor, M. (2019). Class Notes: Algorithmic Thinking. 2023, Mayıs 2 tarihinde https://www.cs.cmu.edu/~112-s23/notes/notes-algorithmic-thinking.html adresinden erişilmiştir.
• Voskoglou, M. G. & Buckley, S. (2012). Problem solving and computational thinking in a learning environment. arXiv preprint arXiv:1212.0750. https://doi.org/10.48550/arXiv.1212.0750
• Werner, L., Campe, S. & Denner, J. (2012). Children learning computer science concepts via Alice game-programming. In L. S. King, Special Interest Group on Computer Science Education (SIGCSE) (pp. 427-432). Proceedings of the 43rd ACM Technical Symposium on Computer Science Education. Raleigh North Carolina, ABD. https://doi.org/10.1145/2157136.2157263
• Wing, J. M. (2010). Computational Thinking: What and Why? [White paper]. CMU. https://www.cs.cmu.edu/~CompThink/resources/TheLinkWing.pdf
• Woo, K. & Falloon, G. (2022). Problem solved, but how? An exploratory study into students’ problem solving processes in creative coding tasks. Thinking Skills and Creativity, 46, 101193. https://doi.org/10.1016/j.tsc.2022.101193
• Yalçınkaya, B., Dönmez, A., Aydın, F., Kayalı, N. & Sönmez, A. (2018). İlköğretim çocuklarının kodlama algısı üzerine emprik bir analiz çalışması ve çocuk kütüphanelerinde uygulanmasının önemi. In A. K. Yıldız, Uluslararası Çocuk Kütüphaneleri Sempozyumu Bildirileri (pp. 126-138). 1. Uluslararası Çocuk Kütüphaneleri Sempozyumu Bildirileri. Nevşehir, Türkiye.
• Yıldırım, A. & Şimşek, H. (2021). Sosyal bilimlerde nitel araştırma yöntemleri. Seçkin Publishing.
• Yılmaz, T., & İzmirli, S. (2023). Effect of unplugged and plugged coding activities on secondary school students’ computational thinking skills. Journal of Educational Technology and Online Learning, 6(4), 1180-1193. https://doi.org/10.31681/jetol.1375335
• Zhang, L. & Nouri, J. (2019). A systematic review of learning computational thinking through Scratch in K-9. Computers & Education, 141, 103607.