Exploring Students Computational Thinking based on Self-Regulated Learning in the Solution of Linear Program Problem

Diah Nuraisa, Amalina Nur Azizah, Dian Nopitasari, Swasti Maharani


This study aims to analyze the students computational thinking in the solution of the linear program problem based on self-regulated learning. The data were collected by self-regulated learning questionnaire, computational thinking test, and depth interviews. This study was conducted in SMAN 10 Tangerang. Computational thinking in students with high and medium levels of self-regulated learning has no difference. Students still make a solution that is fixated with linear program problem-solving procedures in general, that is using examples, substitution, and elimination. In solving problems, students can reach the stages of decomposition and pattern recognition only. Students still do not evaluate the results of their work. Algorithmic performed is less coherent because the abstraction has not been done. The recommendation for further research is the need for research that can develop student abstraction in solving problems. Besides, there is also a need for research that analyzes the reflective of students in computational thinking when solving problems.


Computational Thinking; Linear Program; Self-Regulated Learning; Problem-Solving

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Barr, D., Harrison, J., & Conery, L. (2011). Computational Thinking: A Digital Age Skill for Everyone. Learning and Leading with Technology, 38(6), 20–23. Retrieved from http://quijote.biblio.iteso.mx/wardjan/proxy.aspx?url=https://search.ebscohost.com/login.aspx?direct=true&db=ehh&AN=59256559〈=es&site=eds-live%5Cnhttps://content.ebscohost.com/ContentServer.asp?T=P&P=AN&K=59256559&S=R&D=ehh&EbscoContent=dGJyMMTo50Sep6

Guzdial, M. (2008). Education Paving the way for computational thinking. Communications of the ACM, 51(8), 25. https://doi.org/10.1145/1378704.1378713

Jamil, H. M. (2017). Visual Computational Thinking Using Patch. ICWL, 10473, 208–214. https://doi.org/10.1007/978-3-319-66733-1

Latipah, E. (2010). Strategi Self Regulated Learning dan Prestasi Belajar : Jurnal Psikologi, 37(1), 110–129.

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).

Muis, K. R. (2008). Epistemic profiles and self-regulated learning: Examining relations in the context of mathematics problem solving. Contemporary Educational Psychology, 33(2), 177–208. https://doi.org/10.1016/j.cedpsych.2006.10.012

Noroozi, O., Järvelä, S., & Kirschner, P. A. (2019). Introduction paper special issue computers in human behavior multidisciplinary innovations and technologies for facilitation of self-regulated learning. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2019.07.020

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, Volume 2, 705–712.

Peters-Burton, E. E., Cleary, T. J., & Kitsantas, A. (2015). The development of computational thinking in the context of science and engineering practices: A self-regulated learning approach. Proceedings of the 12th International Conference on Cognition and Exploratory Learning in the Digital Age, CELDA 2015, (Celda), 257–261.

Rambally, G. (2017). Integrating Computational Thinking in Discrete Structures. In Emerging Research, Practice, and Policy on Computational Thinking, Educational Communications and Technology: Issues and Innovations (pp. 99–119). https://doi.org/10.1007/978-3-319-52691-1

Sanford, J. F., & Naidu, J. T. (2016). Computational Thinking Concepts for Grade School. Contemporary Issues in Education Research, 9(1), 23–32.

Schroeder, C. M., Scott, T. P., Tolson, H., Huang, T.-Y., & Lee, Y.-H. (2007). The challenge of altering elementary school teachers’ beliefs and practices regarding linguistic and cultural diversity in science instruction. Journal of Research in Science Teaching, 44(2), 1269–1291. https://doi.org/10.1002/tea

Whittle, R. J., Telford, A., & Benson, A. (2015). The ‘Perfect’ Senior (VCE) Secondary Physical Education Teacher: Student Perceptions of Teacher-related Factors that Influence Academic Performance. Australian Journal of Teacher Education, 40(40). https://doi.org/10.14221/ajte.2015v40n8.1

Wilensky, U., & Weintrop, D. (2016). Constructionist Approaches for Computational Thinking in Math and Science classrooms.

Zamnah, L. N. (2017). Hubungan Antara Self-Regulated Learning Dengan Kemampuan Pemecahan Masalah Matematis Pada Mata Pelajaran Matematika Kelas Viii Smp Negeri 3 Cipaku Tahun Pelajaran 2011/2012. Jurnal Teori Dan Riset Matematika (TEOREMA), 1(2), 31. https://doi.org/10.25157/.v1i2.549

Zheng, J., Xing, W., Zhu, G., Chen, G., Zhao, H., & Xie, C. (2020). Profiling self-regulation behaviors in STEM learning of engineering design. Computers & Education, 143(August 2019), 103669. https://doi.org/10.1016/j.compedu.2019.103669

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DOI: http://doi.org/10.25273/jipm.v8i1.4871


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