The Effect of Gender on Fifth-Grade Students’ Computational Thinking Skills

Authors

  • Yahya Gunawan Universitas Riau
  • Zetra Hainul Putra Universitas Riau
  • Zariul Antosa Universitas Riau
  • Dahnilsyah Universitas Riau
  • Hartono Tjoe The Pennsylvania State University

DOI:

https://doi.org/10.31980/mosharafa.v12i3.820

Keywords:

Computational Thinking, Gender, Kurikulum Matematika, Mathematics Curriculum

Abstract

Computational thinking (CT) merupakan topik baru yang muncul dalam penelitian pendidikan matematika. Isu gender telah mendapat perhatian ilmiah untuk diselidiki di antara banyak faktor yang mempengaruhi CT siswa. Oleh karena itu, penelitian ini berusaha untuk mengeksplorasi pengaruh gender pada keterampilan CT siswa kelas lima sekolah dasar. Penelitian ini menggunakan penelitian kuantitatif dengan metode komparatif. Subjek penelitian ini adalah 120 siswa kelas V di Pekanbaru, Riau, Indonesia. Analisis data menggunakan uji parametrik untuk membandingkan keterampilan CT siswa secara umum dan tes non parametrik untuk membandingkan keterampilan CT siswa dalam empat kompetensi yaitu dekomposisi, berpikir algoritmik, pengenalan pola, dan abstraksi. Hasil temuan menunjukkan bahwa siswa memiliki kemampuan berpikir komputasi yang rendah dan tidak ada perbedaan kemampuan berpikir komputasi yang signifikan antara siswa laki-laki dan perempuan pada umumnya. Namun, pengenalan pola siswa laki-laki secara signifikan lebih tinggi daripada siswa perempuan. Ini menyiratkan bahwa pembuat kebijakan perlu mempertimbangkan CT sebagai bagian dari kurikulum matematika di sekolah dasar.

Computational thinking (CT) has become an emerging topic in mathematics education research. The gender issue has gained scholarly attention to be investigated among many factors affecting students' CT. Therefore, the present study seeks to explore the effect of gender on fifth-grade students' CT skills. This study applied quantitative research using the comparative method. The subjects were 120 fifth-grade students in Pekanbaru, Riau, Indonesia. Data analysis used the parametric test to compare students’ CT skills in general and the non-parametric test to compare students' CT skills in four competencies, decomposition, algorithmic thinking, pattern recognition, and abstraction. The findings indicate that students have low CT skills and no significant differences in CT skills between male and female students. However, male students' pattern recognition is significantly higher than female students. This implies that policymakers need to consider CT as part of the mathematics curriculum in primary schools.

References

Alfina, A. (2017). Berpikir komputasional siswa dalam menyelesaikan masalah yang berkaitan dengan aritmatika sosial ditinjau dari gender. Simki-Techsain, 1(4).

Aminah, N., Maat, S. M., & Sudarsono, S. (2023). Computational Thinking of Prospective Mathematics Teacher Viewed from Entrepreneur Character. Mosharafa: Jurnal Pendidikan Matematika, 12(2), 267-278.

Anistyasari, Y., Ekohariadi, E., & Munoto, M. (2020). Strategi pembelajaran untuk meningkatkan keterampilan pemprograman dan berpikir komputasi: Sebuah studi literatur. Journal of Vocational and Technical Education, 2(2), 37–44. https://doi.org/10.26740/jvte.v2n2.p37-44

Anriana, R., Witri, G., Putra, Z. H., Fendrik, M., Dahnilsyah, & Aljarrah, A. (2023). Ethnomathematics study in measurement of Bengkalis Malay community as mathematics resources for elementary school. Ethnography and Education, 1–24. https://doi.org/10.1080/17457823.2023.2232500

Ansori, M. (2020). Penilaian kemampuan computational thinking (Pemikiran komputasi)[Assessment of computational thinking skills]. Salimiya: Jurnal Studi Ilmu Keagamaan Islam, 1(2), 176–193.

Ardito, G., Czerkawski, B., & Scollins, L. (2020). Learning Computational Thinking Together: Effects of Gender Differences in Collaborative Middle School Robotics Program. TechTrends, 64(3), 373–387. https://doi.org/10.1007/s11528-019-00461-8

Arends, R. (2012). Learning to teach. Mc Graw Hill.

Asbell-Clarke, J., Rowe, E., Almeda, V., Edwards, T., Bardar, E., Gasca, S., Baker, R. S., & Scruggs, R. (2021). The development of students’ computational thinking practices in elementary- and middle-school classes using the learning game, Zoombinis. Computers in Human Behavior, 115, 106587. https://doi.org/10.1016/j.chb.2020.106587

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

Barr, D., Harrison, J., & Conery, L. (2011). Computational thinking: A digital age skill for everyone. Learning & Leading with Technology, 38(6), 20–23.

Bundy, A. (2007). Computational thinking is pervasive. Journal of Scientific and Practical Computing, 1(2), 67–69.

Cahdriyana, R. A., & Richardo, R. (2020). Berpikir komputasi dalam pembelajaran matematika [computational thinking in learning mathematics]. LITERASI (Jurnal Ilmu Pendidikan), 11(1), 50–56. https://doi.org/10.21927/literasi.2020.11(1).50-56

Chevalier, M., Giang, C., Piatti, A., & Mondada, F. (2020). Fostering computational thinking through educational robotics: a model for creative computational problem solving. International Journal of STEM Education, 7(1), 39. https://doi.org/10.1186/s40594-020-00238-z

Cohan, L., Manion, L., & Morrison, K. (2007). Research methods in education (Sixth Edit). Routledge.

Cui, Z., & Ng, O.-L. (2021). The Interplay Between Mathematical and Computational Thinking in Primary School Students’ Mathematical Problem-Solving Within a Programming Environment. Journal of Educational Computing Research, 59(5), 988–1012. https://doi.org/10.1177/0735633120979930

Dagienė, V., & Sentance, S. (2016). It’s Computational Thinking! Bebras Tasks in the Curriculum BT - Informatics in Schools: Improvement of Informatics Knowledge and Perception (A. Brodnik & F. Tort (eds.); pp. 28–39). Springer International Publishing.

Durak, H. Y., & Saritepeci, M. (2018). Analysis of the relation between computational thinking skills and various variables with the structural equation model. Computers & Education, 116, 191–202. https://doi.org/10.1016/j.compedu.2017.09.004

Gong, D., Yang, H. H., & Cai, J. (2020). Exploring the key influencing factors on college students’ computational thinking skills through flipped-classroom instruction. International Journal of Educational Technology in Higher Education, 17(1), 19. https://doi.org/10.1186/s41239-020-00196-0

Grover, S., Pea, R., & Cooper, S. (2015). Designing for deeper learning in a blended computer science course for middle school students. Computer Science Education, 25(2), 199–237. https://doi.org/10.1080/08993408.2015.1033142

Gustiani, D. D., & Puspitasari, N. (2021). Kesalahan siswa dalam menyelesaikan soal matematika materi operasi pecahan kelas VII di Desa Karangsari. Plusminus: Jurnal Pendidikan Matematika, 1(3), 435-444.

Hafidz, A. A. (2019). Pengaruh Jenis Kelamin terhadap Hasil Belajar Matematika Siswa. Buana Matematika : Jurnal Ilmiah Matematika Dan Pendidikan Matematika, 9(2), 69–72. https://doi.org/10.36456/buanamatematika.v9i2:.2118

Hamid, H., Arhasy, E. A., & Muhtadi, D. (2023). Kesalahan peserta didik dalam menyelesaikan soal cerita sistem persamaan linear tiga variabel berdasarkan kriteria watson. Jurnal Inovasi Pembelajaran Matematika: PowerMathEdu, 2(2), 139-156.

Haseski, H. I., Ilic, U., & Tugtekin, U. (2018). Defining a New 21st Century Skill-Computational Thinking: Concepts and Trends. International Education Studies, 11(4), 29–42. https://doi.org/10.5539/ies.v11n4p29

Junaeti, E., Herman, T., Priatna, N., Dasari, D., & Juandi, D. (2023). Students' Computational Thinking Ability in Calculating an Area Using The Limit of Riemann Sum Approach. Mosharafa: Jurnal Pendidikan Matematika, 12(2), 215-228.

Kale, U., & Yuan, J. (2021). Still a New Kid on the Block? Computational Thinking as Problem Solving in Code.org. Journal of Educational Computing Research, 59(4), 620–644. https://doi.org/10.1177/0735633120972050

Khan, F., Fauzee, M. S. O., & Daud, Y. (2016). Qualitative analysis of the teacher’s performance in private and public sector schools: a developing country’s experience. Educational Research International, 5(4), 33–39.

Kong, S.-C., Chiu, M. M., & Lai, M. (2018). A study of primary school students’ interest, collaboration attitude, and programming empowerment in computational thinking education. Computers & Education, 127, 178–189. https://doi.org/10.1016/j.compedu.2018.08.026

Li, Y., Xu, S., & Liu, J. (2021). Development and Validation of Computational Thinking Assessment of Chinese Elementary School Students. Journal of Pacific Rim Psychology, 15, 183449092110102. https://doi.org/10.1177/18344909211010240

Mullis, I. V. ., Martin, M. O., Foy, P., & Hooper, M. (2015). TIMSS 2015 International results in Mathematics. Lynch School of Education, Boston College: TIMSS & PIRLS International Study Center. https://doi.org/10.1007/978-1-4939-1292-6

Nurrawi, A. E. P., Zahra, A. T., Aulia, D., Greis, G., & Mubarok, S. (2023). Motivasi Belajar Siswa Terhadap Hasil Belajar Matematika. Plusminus: Jurnal Pendidikan Matematika, 3(1), 29-38.

OECD. (2019). PISA 2018 Assessment and analytical framework.

Putra, Z. H., Hermita, N., Afrillia, Y. M., & Dahnilsyah, D. (2022). The Effect of Gender, Teaching Experience, Educational Background, and the School Type on Teachers’ Mathematical, Didactic, and Technological Competences. Perspectives of Science and Education, 60(6), 612–624. https://doi.org/10.32744/pse.2022.6.37

Putra, Z. H., Hermita, N., Yuliani, S., & Fatmawilda, F. (2022). The effects of gender, study major, and year of study on prospective teachers’ mathematical, didactic, and technological knowledge. Journal of Teaching and Learning in Elementary Education, 5(2), 243–253. https://doi.org/10.33578/jtlee.v5i2.7946

Putra, Z. H., Ramiati, Zufriady, Hidayat, R., Jismulatif, Hermita, N., & Sulistiyo, U. (2022). Development of computational thinking tasks based on Riau Malay culture: a study of fifth-grade public school students in Pekanbaru, Indonesia. Education 3-13, 1–11. https://doi.org/10.1080/03004279.2022.2150063

Reilly, D., Neumann, D. L., & Andrews, G. (2019). Investigating Gender Differences in mathematics and science: Results from the 2011 trends in mathematics and science survey. Research in Science Education, 49(1), 25–50. https://doi.org/10.1007/s11165-017-9630-6

Relkin, E., de Ruiter, L. E., & Bers, M. U. (2021). Learning to code and the acquisition of computational thinking by young children. Computers & Education, 169, 104222. https://doi.org/10.1016/j.compedu.2021.104222

Rohmawati, E., & Afriansyah, E. A. (2022). Kemampuan Abstraksi Matematis Siswa Ditinjau Dari Perbedaan Gender. Jurnal Kongruen, 1(4), 379-405.

Saad, A., & Zainudin, S. (2022). A review of Project-Based Learning (PBL) and Computational Thinking (CT) in teaching and learning. Learning and Motivation, 78, 101802. https://doi.org/10.1016/j.lmot.2022.101802

Schleicer, A. (2019). PISA 2018: Insights and interpretations. OECD.

Shute, V. J., Sun, C., & Asbell-Clarke, J. (2017). Demystifying computational thinking. Educational Research Review, 22, 142–158. https://doi.org/10.1016/j.edurev.2017.09.003

Sun, L., Hu, L., & Zhou, D. (2021). Improving 7th-graders’ computational thinking skills through unplugged programming activities: A study on the influence of multiple factors. Thinking Skills and Creativity, 42, 100926. https://doi.org/10.1016/j.tsc.2021.100926

Sung, J. (2022). Assessing young Korean children’s computational thinking: A validation study of two measurements. Education and Information Technologies, 1–29. https://doi.org/10.1007/s10639-022-11137-x

Tambak, S., Ahmad, M. Y., Amril, A., Sukenti, D., Hamzah, H., & Marwiyah, S. (2022). Madrasa teacher professionalism: Effects of gender and teaching experience in learning. International Journal of Evaluation and Research in Education (IJERE), 11(3), 1490–1499. https://doi.org/10.11591/ijere.v11i3.22539

Tsai, M.-J., Liang, J.-C., Lee, S. W.-Y., & Hsu, C.-Y. (2022). Structural Validation for the Developmental Model of Computational Thinking. Journal of Educational Computing Research, 60(1), 56–73. https://doi.org/10.1177/07356331211017794

Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33–35. https://doi.org/10.1145/1118178.1118215

Wing, J. M. (2008). Computational thinking and thinking about computing. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 366(1881), 3717–3725. https://doi.org/10.1098/rsta.2008.0118

Downloads

Published

2023-07-30

How to Cite

Gunawan, Y., Putra, Z. H., Antosa, Z., Dahnilsyah, & Tjoe, H. (2023). The Effect of Gender on Fifth-Grade Students’ Computational Thinking Skills . Mosharafa: Jurnal Pendidikan Matematika, 12(3), 465–476. https://doi.org/10.31980/mosharafa.v12i3.820

Issue

Section

Articles

Similar Articles

<< < 11 12 13 14 15 16 17 18 19 20 > >> 

You may also start an advanced similarity search for this article.