Characteristics of Computational Thinking in Solving Mathematical Problems based on Kolb's Learning Style

Miswanto Miswanto

Abstract


The approach in this research is qualitative research with an exploratory descriptive research type. The subjects in this research were several students from the Mathematics Tadris study program, Faculty of Tarbiyah and Teacher Training, UIN Sayyid Ali Rahmatullah Tulungagung semester 5 who met the subject selection requirements. This research uses two types of instruments, namely researchers as the main instrument and supporting instruments which include questionnaires and tests. Based on the results of research and discussion about students' computational thinking processes in solving mathematical problems based on learning styles, namely (1) students' computational thinking processes in solving mathematical problems based on divergent learning styles start from the decomposition stage, algorithmic stage, decomposition stage, generalization stage, debugging stage, abstraction stage, and decomposition stage. Where the stages of computational thinking include incoherent, complete and systematic; (2) Students' computational thinking processes in solving mathematical problems based on the assimilation learning style start from the decomposition stage, abstraction stage, algorithmic stage, debugging stage, generalization stage, abstraction stage, and decomposition stage. Where the stages of computational thinking include incoherent, complete and unsystematic; (3) Students' computational thinking processes in solving mathematical problems based on the convergent learning style start from the decomposition stage, abstraction stage, algorithmic stage, debugging stage, generalization stage, algorithmic stage, abstraction stage, and decomposition stage. Where the stages of computational thinking include coherent, complete and systematic; and (4) Students' computational thinking processes in solving mathematical problems based on accommodation learning styles start from the decomposition stage, abstraction stage, generalization stage, algorithmic stage, and debugging stage. Where the stages of computational thinking are coherent, complete and systematic.


Keywords


Kolb Learning Style, Computational Thinking, Problem Solving.

Full Text:

PDF

References


Aho, A. (2012). Computation and Computational Thinking. The Computer Journal, 56(7): 832–835.

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. Educational Technology & Society, 19(3), 47–57.

Azza A,. (2017). Berpikir Komputasional Siswa dalam Menyelesaikan Masalah yang Berkaitan dengan Aritmetika Sosial ditinjau dari Gender. Jurnal Takhsin. Universitas Nusantara PGRI Kediri, 6(9), 23-40.

Barra’., M. (2012). Implementasi Gaya Belajar Model Kolb Dalam LC5E Untuk Memaksimalkan Pembelajaran Luas Segitiga Heron Dikelas VIII A SMPN 19 Palu. Jurnal DIKDAS, 1(1), 123-139.

Benakli, N., Kostadinov, B., Satyanarayana, A., & Singh, S. (2017). Introducing computational thinking through hands-on projects using R with applications to calculus, probability and data analysis. International Journal of Mathematical Education in Science and Technology, 48(3), 393-427.

Boom, K. D., Bower, M., Arguel, A., Siemon, J., & Scholkmann, A. (2018). Relationship between computational thinking and a measure of intelligence as a general problem-solving ability. Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE, 206 211.

Brennan, K., & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. AERA, 1–25.

Council, N. R. (2011). Report of a workshop of pedagogical aspects of computational thinking. The National Academic Press : Newyork.

Curzon, P., Dorling, M., Ng, T., Selby, C., & Woollard, J. (2014). Developing computational thinking in the classroom: a framework. In Computing at School : USA.

DeSchryver, M. D., & Yadav, A. (2015). Creative and Computational Thinking in the Context of New Literacies: Working with Teachers to Scaffold Complex Technology-Mediated Approaches to Teaching and Learning. Journal Society for Information Technology & Teacher Education, 23(3), 65-71.

Fathur. (2015). Apa Itu Computational Thinking – Berfikir Komputasi. Diakses pada 10 Maret 2023, dari https://www.fathur.web.id/2015/09/computational-thinking-computer-science.html.

Gadanidis, G., Cendros, R., Floyd, L., & Namukasa, I. (2017). Computational Thinking in Mathematics Teacher Education. Contemporary Issues in Technology and Teacher Education, 17(4), 458-477.

Guba dan Lincoln. (1981). Effective Evalution. Jossey Bass Publisher. San. Fransisco.

Kazakoff, E. R., Sullivan, A., & Bers, M. U. (2013). The Effect of a Classroom-Based Intensive Robotics and Programming Workshop on Sequencing Ability in Early Childhood. Early Childhood Education Journal, 41(4), 245–255.

Kolb, A.Y, Kolb, D.A. (2005). Learning styles and learning spaces: Enhancing experiential learning in higher education. The Academy of Management Learning and Education, 4(2),193–212.

Lu, J., Zhang, X., & Stephens, M. (2019). Visualizing the commognitive processes in computer-supported one-to-one tutoring. Interactive Learning Envorinments, 27(5 – 6), 645 – 654.

Maharani, S., Kholid, M. N., Pradana, L. N., & Nusantara, T. (2019). Problem Solving in the Context of Computational Thinking. Infinity Journal of Mathematics Education, 8(2), 109–116.

Maharani, S., Nusantara, T., As‘ari, A. R., & Qohar, A. (2019). How The Students Computational Thinking Ability On Algebraic?. International Journal of Scientific & Technology Research, 8(9), 419–423.

Maharani, S., Kholid, M. N., Pradana, L. N., & Nusantara, T. (2019). Problem Solving in the Context of Computational Thinking. Infinity Journal of Mathematics Education, 8(2), 109–116.

Marchelin, L.E., Hamidah, D., & Resti, N. C. (2022). Efektifitas Metode Scaffolding dalam Meningkatkan Computational Thinking Siswa SMP pada Materi Perbandingan. Jurnal Pengembangan Pembelajaran Matematika (JPPM), 4(2), 20-42.

Moleong, Lexy J. 2013. Metode Penelitian Kualitatif. Edisi Revisi. Bandung : PT. Remaja Rosdakarya.

Orton, K., Weintrop, D., Beheshti, E., Horn, M., Jona, K., & Wilensky, U. (2016). Bringing Computational Thinking into High School Mathematics and Science Classrooms. Transforming Learning, Empowering Learners: The International Conference of the Learning Sciences (ICLS) 2016, 2(4), 705 – 712.

Polya, George. (2011). How To Solve It 2nd ed. New Jersey : Princeton University Press.

Puspa, R.D., As’ari, A.R, dan Sukoriyanto. Analisis Kemampuan Siswa Dalam Menyelesaikan Soal Tipe Higher Order Thinking Skills (HOTS) Ditinjau Dari Tahapan Pemecahan Masalah Polya. Jurnal Kajian Pembelajaran Matematika, 3(2), 201-219.

Rambally, G. (2017). Integrating Computational Thinking in Discrete Structures In Emerging Research, Practice and Policy on Computational Thinking. Educational Communication and Technology : Issues and Innovations, 8(3), 99 – 119.

Ramlah, (2014). Pengaruh Gaya Belajar Dan Keaktifan Siswa Terhadap Prestasi Belajar Matematika. Jurnal Ilmiah Solusi, 3(1), 245-260.

Scherer, R., Siddiq, F., & Viveros, B. S. (2019). The cognitive benefits of learning computer programming: A meta-analysis of transfer effects. Journal of Educational Psychology, 111(5), 764–792.

Selby, C., & Woollard, J. (2013a). Computational Thinking : The Developing Definition. ITiCSE Conference 2013, 3(1), 5–8.

Sung, W., Ahn, J., & Black, J. (2017). The Design of Embodied Activities Promoting Computational Thinking and Mathematics Learning in Early-chilhood. The Annual Conference of the American Educational Reasearch Association, 2(4), 54-90.

Supiarmo, M. G., Turmudi., & Susanti, E. (2021). Proses Berpikir Komputasional Siswa dalam Menyelesaikan Soal PISA Konten Change And Relationship Berdasarkan Self-Regulated Learning. Jurnal Numeracy, 18(1), 78 - 101

Wing, J. M. (2017). Computational Thinking. Communication of The ACM, 49(3), 33 – 35.

Zulfah. (2017). Analisis Kesalahan Peserta Didik pada Materi Persamaan Linear Dua Veriabel di Kelas VIII MTs Negeri Sungai Tonang. Journal Cendekia: Jurnal Pendidikan Matematika.




DOI: https://doi.org/10.30596/jmea.v3i1.18855

Refbacks

  • There are currently no refbacks.


 

 

Journal of Mathematics Education and Application: JMEA

University Muhammadiyah of Sumatera Utara

Magister Pendidikan Matematika Program Pascasarjana Universitas Muhammadiyah Sumatera Utara, Jl. Denai No 217, Indonesia

email: jmea@umsu.ac.id