Exploration students' computational thinking skills in mathematical problem solving based on field independent and dependent cognitive style
Abstract
Computational thinking skills play an important role in helping students solve mathematical problems. Students' problem-solving ability is influenced by cognitive style. The purpose of this study was to explore the computational thinking ability of prospective mathematics teachers based on field-independent and field-dependent cognitive styles. This research uses a qualitative approach with a case study design. Data collection instruments used are test questions, cognitive style questionnaires, and interview guidelines. Before use, the test questions were validated by two mathematics education experts and tested on five prospective mathematics teacher students. The subjects of this study were 47 prospective math teacher students at one of the private universities in Surakarta. Based on the test results and cognitive style questionnaire, researchers selected 3 field independent students and 2 field dependent students to be interviewed. The results showed that at the abstraction stage, all subjects can represent mathematical concepts in symbols or mathematical language appropriately. While at the stage of thinking algorithms and generalization, subjects with a field-dependent style tend to give answers that are less precise. Thus, it can be concluded that there are differences in the ability in the computational thinking process of students based on cognitive style.
Full Text:
PDFReferences
Alfiyah. (2022). Analisis kemampuan pemecahan masalah siswa pada materi transformasi geometri berbasis konteks keislaman ditinjau dari gaya kognitif siswa. UIN Syarif Hidayatullah, Jakarta.
Altun, A., & Cakan, M. (2006). Undergraduate students’ academic achievement, field dependent/independent cognitive styles and attitude toward computers. Educational Technology and Society, 9(1).
Amaliah, N., Wahyuddin, & Andi Quraisy. (2022). Analisis kemampuan pemahaman konsep pertidaksamaan linear satu variabel ditinjau dari gaya kognitif siswa. DIAJAR: Jurnal Pendidikan Dan Pembelajaran, 1(1). https://doi.org/10.54259/diajar.v1i1.183
Armstrong, S. J., Cools, E., & Sadler-Smith, E. (2012). Role of cognitive styles in business and management: Reviewing 40 years of research. International Journal of Management Reviews, 14(3). https://doi.org/10.1111/j.1468-2370.2011.00315.x
Azizah, N. I., Roza, Y., & Maimunah, M. (2022). Computational thinking process of high school students in solving sequences and series problems. Jurnal Analisa, 8(1), 21–35. https://doi.org/10.15575/ja.v8i1.17917
Bocconi, S., Chioccariello, A., Dettori, G., Ferrari, A., Engelhardt, K., Kampylis, P., & Punie, Y. (2016, July). Exploring the field of computational thinking as a 21st century skill. 4725–4733. https://doi.org/10.21125/edulearn.2016.2136
Bouck, E. C., Sands, P., Long, H., & Yadav, A. (2021). Preparing special education preservice teachers to teach computational thinking and computer science in mathematics. Teacher Education and Special Education: The Journal of the Teacher Education Division of the Council for Exceptional Children, 44(3), 221–238. https://doi.org/10.1177/0888406421992376
Csizmadia, A., Curzon, P., Dorling, M., Humphreys, S., Ng, T., Selby, C., & Woollard, J. (2015). Computational thinking: A guide for teachers. Computing At School, (October 2018).
Firmansyah, M. A., & Syarifah, L. L. (2023). Mathematical problem solving ability in view of learning styles. Prima: Jurnal Pendidikan Matematika, 7(1), 58. https://doi.org/10.31000/prima.v7i1.7217
Gadanidis, G. (2017). Artificial intelligence, computational thinking, and mathematics education. International Journal of Information and Learning Technology, 34(2). https://doi.org/10.1108/IJILT-09-2016-0048
Komarudin, K., Suherman, S., & Anggraini, A. (2021). Analysis of mathematical concept understanding capabilities: The impact of makerspae stem learning approach models and student learning activities. Journal of Innovation in Educational and Cultural Research, 2(1), 35–43. https://doi.org/10.46843/jiecr.v2i1.21
Kusnadi, R. M., & Mardiani, D. (2022). Kemampuan pemecahan masalah matematis siswa sekolah menengah pertama negeri 3 tarogong kidul dalam masalah statistika. Jurnal Inovasi Pembelajaran Matematika: PowerMathEdu, 1(2), 173–182. https://doi.org/10.31980/powermathedu.v1i2.2229
Lee, S. W.-Y., Tu, H.-Y., Chen, G.-L., & Lin, H.-M. (2023). Exploring the multifaceted roles of mathematics learning in predicting students’ computational thinking competency. International Journal of STEM Education, 10(1), 64. https://doi.org/10.1186/s40594-023-00455-2
Maharani, S., Nusantara, T., Rahman Asari, A., & Qohar, A. (2020). Computational thinking pemecahan masalah di abad ke-21.
Muhtarom, M. (2019). Profil kemampuan pemecahan masalah mahasiswa yang mempunyai gaya kognitif field independen (fi) pada mata kuliah kalkulus.
Rosana, D., Widodo, E., Setianingsih, W., & Setyawarno, D. (2020). Developing assessment instruments of pisa model to measure students’ problem-solving skills and scientific literacy in junior high schools. Jurnal Pendidikan Sains Indonesia, 8(2), 292–305. https://doi.org/10.24815/jpsi.v8i2.17468
Sheromova, T. S., Khuziakhmetov, A. N., Kazinets, V. A., Sizova, Z. M., Buslaev, S. I., & Borodianskaia, E. A. (2020). Learning styles and development of cognitive skills in mathematics learning. Eurasia Journal of Mathematics, Science and Technology Education, 16(11), em1895. https://doi.org/10.29333/ejmste/8538
Supiarmo, M. G., Hadi, H. S., & Tarmuzi, T. (2022). Studentâ€TMs computational thinking process in solving pisa questions in terms of problem solving abilities. (JIML) Journal of Innovative Mathematics Learning, 5(1), 01–11. https://doi.org/10.22460/jiml.v5i1.p01-11
Suryani, G. (2022). Apa itu computational thinking? Retrieved from https://www.refoindonesia.com/apa-itu-computational-thinking/
Susanto, R., Rachmadtullah, R., & Rachbini, W. (2020). Technological and pedagogical models: Analysis of factors and measurement of learning outcomes in education. Journal of Ethnic and Cultural Studies, 1–14. https://doi.org/10.29333/ejecs/311
Tabesh, Y. (2017). Computational thinking: A 21st century skill. OLYMPIADS IN INFORMATICS, 11(2), 65–70. https://doi.org/10.15388/ioi.2017.special.10
Widayanti, N. S. (2010). Peningkatan kemampuan penalaran matematis siswa kelas viii smp negeri 3 banguntapan dalam pembelajaran matematika melalui pendekatan pendidikan matematika realistik indonesia (PMRI).
Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33–35. https://doi.org/10.1145/1118178.1118215
Yadav, A., Hong, H., & Stephenson, C. (2016). Computational thinking for all: Pedagogical approaches to embedding 21st century problem solving in k-12 classrooms. TechTrends, 60(6), 565–568. https://doi.org/10.1007/s11528-016-0087-7
Zahid, M. Z. (2020). Telaah kerangka kerja pisa 2021: Era integrasi computational thinking dalam bidang matematika. Prosiding Seminar Nasional Matematika, 3(2020).
DOI: http://dx.doi.org/10.24042/djm.v7i3.23832
Refbacks
- There are currently no refbacks.
Copyright (c) 2024 Desimal: Jurnal Matematika
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Desimal: Jurnal Matematika is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
