Student Computational Thinking in Solving Sequence Problems Based on Learning Styles
Keywords:
Computational thinking; problem solving; Kolb learning style
Abstract
The purpose of this study is to describe students' computational thinking in solving sequence problems based on learning styles. This research approach is qualitative research with exploratory and descriptive research types. The subjects in this study were students majoring in Mathematics Tadris, Fakultas Tarbiyah dan Ilmu Keguruan UIN SATU Tulungagung semester 5. First, students' computational thinking in solving sequence problems based on assimilation and convergent learning styles, including incoherent, complete, and systematic. Second, students' computational thinking in solving sequence problems based on assimilation and accommodation learning styles, including coherent, complete, and systematic. Third, students' computational thinking in solving sequence problems is based on convergent learning styles and accommodation, including coherent, complete, and unsystematic. Fourth, students' computational thinking in solving sequence problems is based on divergent and convergent learning styles, including incoherent, incomplete, and unsystematic.
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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.
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, (September: 2012).
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.
Christi, S. R., & Rajiman, W. (2023). Pentingnya Berpikir Komputasional dalam Pembelajaran Matematika. Journal on Education, 5(04).
Clements, D. H., Battista, M. T., & Sarama, J. (2001). Logo and Geometry. Journal for Research in Mathematics Education. Monograph, 10, 1–177.
Council, N. R. (2011). Report of a workshop on pedagogical aspects of computational thinking. The National Academic Press: Newyork.
Creswell, J, W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, In………… (4th ed., Vol. 59). United States of America: SAGE.
Denning, P. J., & Tedre, M., (2016). The long quest for computational thinking. ACM
International Conference Proceeding Series, 120–129.
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).
Gadanidis, G. (2016). Artificial intelligence, computational thinking, and mathematics education. The International Journal of Information and Learning Technology, 34(2), 133-139.
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.
Grover, S., & Pea, R. (2013). Computational Thinking in K – 12: A Review of the State of the Field. 42(1), 38-43. Di akses tanggal 10 Januari 2023, dari https://doi.org/10.3102/0013189X12463051.
Kallia, M., van Borkulo, S. P. Drijvers, P., Barendsen, E., & Tolboom, J. (2021). Characterizing computational thinking in mathematics education: a literature-informed Delphi study. Research in Mathematics Education, 23(2), 159 – 187.
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.
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), Vol. 4, Issue 1, February 2022.
Nagai, Y., Shimogoori, A., Ariga, M., & Georgiev, G. V. (2019). Future learning and design creativity competency. Proceedings of the International Conference on Engineering Design, ICED, 2019-August(August), 499–508.
NCTM., (2010). Principles and Standards for School Mathematics. Reston, VA: The
National Council of Teachers Mathematics, Inc.
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., Agustina, Z. F., & Kholid, M. N. (2021). Exploring the Prospective Mathematics Teacher's Computational Thinking in Solving Pattern Geometry Problems. Al-Ishlah: Jurnal Pendidikan, 13(3), 1756–1767.
Maharani, S., Nusantara, T., As’ari, A. R., & Qohar, A. (2019). How is The Student's Computational Thinking Ability On Algebraic? International Journal of Scientific & Technology Research, 8(9), 419–423.
Maharani, S., Nusantara, T., As’ari, A. R., & Qohar, Abd. (2020). Computational Thinking: Media Pembelajaran CSK (CT-Sheet for Kids) dalam Matematika PAUD. Jurnal Obsesi : Jurnal Pendidikan Anak Usia Dini, 5(1), 975–984. https://doi.org/10.31004/obsesi.v5i1.769
Papert, S. (1996). The Connected Family: Bridging the Digital Generation Gap. World: 221 Press.
Plucker, J. A. & Beghetto, R. A. (2016). Revisiting the relationship among schooling, learning, and creativity. In J. C. Kaufman and J. Baer. (Eds.). Creativity and reasoning in cognitive development. New York: Cambridge University Press.
Putra, M. R. A. L., Mahardika, G. P & Putro, H. P. (2019). Penerapan Kemampuan Problem Solving pada Siswa SMP Menggunakan Pendekatan Computational Thinking (CT) Berbasis Role Playing Game. Jurnal Ilmiah Teknik Informatika, 8(2) 158-164.
Safitri, R., Jamal, A., Hermawan, D., & Supriyanto, A. (2022). Pengenalan Pelatihan Computational Thinking untuk Guru dan Siswa SD-SMP di Jabodetabek. Prosiding Seminar Nasional Pemberdayaan Masyarakat 2022.
Sagala, R., Naungchalerm, P., Saregar, A., & El Islami, R. A. Z. (2019). Environment-friendly education as a solution to against global warming: A case study at Sekolah Alam Lampung, Indonesia. Journal for the Education of Gifted Young Scientist, 7(2), 85 – 97.
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. (2014). How Can the Teaching of Programming Be Used to Enhance Computational Thinking Skills? Di akses tanggal 3 Maret 2023, dari https:doi.org/10.5694/j.1326-5377.1981.tb113016.x.
Sung, W., Ahn, J., & Black, J. B. (2017). Introducing Computational Thinking to Young Learners: Practicing Computational Perspectives Through Embodiment in Mathematics Education. Technology, Knowledge and Learning, 22(3), 1 – 21.
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).
Syaeful, M., Prabawa, H.W., & Rusnayati, H. (2018). Peningkatan Kemampuan Berpikir Komputasi Siswa Melalui Multimedia Interaktif Berbasis Model Quantum Teaching and Learning. Bandung : Universitas Pendidikan Indonesia.
Ramlah, (2014). Pengaruh Gaya Belajar Dan Keaktifan Siswa Terhadap Prestasi Belajar Matematika. Jurnal Ilmiah Solusi, Edisi 1 bulan Nopember.
Weintrop, D., Beheshti, E., Horn, M., Orton, K., Jona, K., Trouille, L., & Wilensky, U. (2015). Defining Computational Thinking for Mathematics and Science Classrooms. Journal of Science Education and Technology, 25(1), 127–147.
Wing, J. M. (2017). Computational Thinking. Communication of The ACM, 49(3), 33 – 35.
Yadaf, A., Stephenson, C., & Hong, H. (2017). Computational thinking for teacher education. Communications of the ACM, 60(4), 55 – 62.
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.
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, (September: 2012).
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.
Christi, S. R., & Rajiman, W. (2023). Pentingnya Berpikir Komputasional dalam Pembelajaran Matematika. Journal on Education, 5(04).
Clements, D. H., Battista, M. T., & Sarama, J. (2001). Logo and Geometry. Journal for Research in Mathematics Education. Monograph, 10, 1–177.
Council, N. R. (2011). Report of a workshop on pedagogical aspects of computational thinking. The National Academic Press: Newyork.
Creswell, J, W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, In………… (4th ed., Vol. 59). United States of America: SAGE.
Denning, P. J., & Tedre, M., (2016). The long quest for computational thinking. ACM
International Conference Proceeding Series, 120–129.
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).
Gadanidis, G. (2016). Artificial intelligence, computational thinking, and mathematics education. The International Journal of Information and Learning Technology, 34(2), 133-139.
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.
Grover, S., & Pea, R. (2013). Computational Thinking in K – 12: A Review of the State of the Field. 42(1), 38-43. Di akses tanggal 10 Januari 2023, dari https://doi.org/10.3102/0013189X12463051.
Kallia, M., van Borkulo, S. P. Drijvers, P., Barendsen, E., & Tolboom, J. (2021). Characterizing computational thinking in mathematics education: a literature-informed Delphi study. Research in Mathematics Education, 23(2), 159 – 187.
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.
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), Vol. 4, Issue 1, February 2022.
Nagai, Y., Shimogoori, A., Ariga, M., & Georgiev, G. V. (2019). Future learning and design creativity competency. Proceedings of the International Conference on Engineering Design, ICED, 2019-August(August), 499–508.
NCTM., (2010). Principles and Standards for School Mathematics. Reston, VA: The
National Council of Teachers Mathematics, Inc.
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., Agustina, Z. F., & Kholid, M. N. (2021). Exploring the Prospective Mathematics Teacher's Computational Thinking in Solving Pattern Geometry Problems. Al-Ishlah: Jurnal Pendidikan, 13(3), 1756–1767.
Maharani, S., Nusantara, T., As’ari, A. R., & Qohar, A. (2019). How is The Student's Computational Thinking Ability On Algebraic? International Journal of Scientific & Technology Research, 8(9), 419–423.
Maharani, S., Nusantara, T., As’ari, A. R., & Qohar, Abd. (2020). Computational Thinking: Media Pembelajaran CSK (CT-Sheet for Kids) dalam Matematika PAUD. Jurnal Obsesi : Jurnal Pendidikan Anak Usia Dini, 5(1), 975–984. https://doi.org/10.31004/obsesi.v5i1.769
Papert, S. (1996). The Connected Family: Bridging the Digital Generation Gap. World: 221 Press.
Plucker, J. A. & Beghetto, R. A. (2016). Revisiting the relationship among schooling, learning, and creativity. In J. C. Kaufman and J. Baer. (Eds.). Creativity and reasoning in cognitive development. New York: Cambridge University Press.
Putra, M. R. A. L., Mahardika, G. P & Putro, H. P. (2019). Penerapan Kemampuan Problem Solving pada Siswa SMP Menggunakan Pendekatan Computational Thinking (CT) Berbasis Role Playing Game. Jurnal Ilmiah Teknik Informatika, 8(2) 158-164.
Safitri, R., Jamal, A., Hermawan, D., & Supriyanto, A. (2022). Pengenalan Pelatihan Computational Thinking untuk Guru dan Siswa SD-SMP di Jabodetabek. Prosiding Seminar Nasional Pemberdayaan Masyarakat 2022.
Sagala, R., Naungchalerm, P., Saregar, A., & El Islami, R. A. Z. (2019). Environment-friendly education as a solution to against global warming: A case study at Sekolah Alam Lampung, Indonesia. Journal for the Education of Gifted Young Scientist, 7(2), 85 – 97.
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. (2014). How Can the Teaching of Programming Be Used to Enhance Computational Thinking Skills? Di akses tanggal 3 Maret 2023, dari https:doi.org/10.5694/j.1326-5377.1981.tb113016.x.
Sung, W., Ahn, J., & Black, J. B. (2017). Introducing Computational Thinking to Young Learners: Practicing Computational Perspectives Through Embodiment in Mathematics Education. Technology, Knowledge and Learning, 22(3), 1 – 21.
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).
Syaeful, M., Prabawa, H.W., & Rusnayati, H. (2018). Peningkatan Kemampuan Berpikir Komputasi Siswa Melalui Multimedia Interaktif Berbasis Model Quantum Teaching and Learning. Bandung : Universitas Pendidikan Indonesia.
Ramlah, (2014). Pengaruh Gaya Belajar Dan Keaktifan Siswa Terhadap Prestasi Belajar Matematika. Jurnal Ilmiah Solusi, Edisi 1 bulan Nopember.
Weintrop, D., Beheshti, E., Horn, M., Orton, K., Jona, K., Trouille, L., & Wilensky, U. (2015). Defining Computational Thinking for Mathematics and Science Classrooms. Journal of Science Education and Technology, 25(1), 127–147.
Wing, J. M. (2017). Computational Thinking. Communication of The ACM, 49(3), 33 – 35.
Yadaf, A., Stephenson, C., & Hong, H. (2017). Computational thinking for teacher education. Communications of the ACM, 60(4), 55 – 62.
Published
2022-06-29
How to Cite
Miswanto, M., Nusantara, T., As’ari, A. R., & Sukoriyanto, S. (2022). Student Computational Thinking in Solving Sequence Problems Based on Learning Styles. QALAMUNA: Jurnal Pendidikan, Sosial, Dan Agama, 14(1), 453-470. https://doi.org/10.37680/qalamuna.v14i1.4400
Section
Articles
Copyright (c) 2022 Miswanto Miswanto, Toto Nusantara, Abdur Rahman As'ari, Sukoriyanto Sukoriyanto
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