Analisis Kemampuan Computational Thinking Dalam Pembuatan Media Pembelajaran Matematika
The purpose of this study was to reveal the implementation of Project Base Learning (PjBL)-based learning and then analyze the Computational Thinking (CT) ability of students of the Mathematics Education Study Program, University of Muhammadiyah Malang through a learning media development project. The approach used in this research is descriptive qualitative. The subjects in this study were students who programmed the Programming Language course in semester 3. The results of the research, the projects carried out in PjBL learning were making learning media using Matlab which included the stages of needs analysis, project planning, scheduling, monitoring, testing results and evaluating carried out. very well and systematically. The media produced by students has met the aspects of fluency in use, accuracy of scripts, and flowchart logic. The student's CT ability is in a good category from the aspect of abstraction, logarithmic thinking, debugging/evaluation, and generalization because it has met the achievement percentage of 82%. In conclusion, the learning media developed based on Project Base Learning (PjBL) has been implemented well, covering aspects of smooth use and effectively increasing the Computational Thinking (CT) ability of students of the Mathematics Education Study Program, University of Muhammadiyah Malang.
Keywords: Computational Thinking, Learning Media, Project Base Learning
Carlborg, N., Tyrén, M., Heath, C., & Eriksson, E. (2019). International Journal of ChildComputer Interaction The scope of autonomy when teaching computational thinking in primary school. International Journal of Child-Computer Interaction, 21, 130–139. https://doi.org/10.1016/j.ijcci.20 19.06.005
Francisco, J. G. P., & López, A. R. (2016). Relationship of knowledge to learn in programming methodology and evaluation of computational thinking. ACM International Conference Proceeding Series, 02-04-Nove, 73–77. https://doi.org/10.1145/3012430. 3012499
Gil, P. (2017). Short Project-Based Learning with MATLAB Applications to Support the Learning of Video-Image Processing. Journal of Science Education and Technology, 26(5), 508–518. https://doi.org/10.1007/s10956- 017-9695-z
Grover, S., & Pea, R. (2013). Computational Thinking in K12: A Review of the State of the Field. Educational Researcher, 42(1), 38–43. https://doi.org/10.3102/0013189 X12463051
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. https://doi.org/10.1080/0899340 8.2015.1033142
Jim, C., & Rom, M. (2016). Computers in Human Behavior Which cognitive abilities underlie computational thinking ? Criterion validity of the Computational Thinking Test n-Gonz a. https://doi.org/10.1016/j.chb.201 6.08.047
Magana, A. J., & Silva Coutinho, G. (2017). Modeling and simulation practices for a computational thinking-enabled engineering workforce. Computer Applications in Engineering Education, 25(1), 62–78. https://doi.org/10.1002/cae.2177 9
Yasin, M. (2020). Computational Thinking untuk Pembelajaran Dasar-Dasar Pemrograman Komputer. April, 0–11.
Zhong, B., Wang, Q., Chen, J., & Li, Y. (2016). An exploration of three-dimensional integrated assessment for computational thinking. Journal of Educational Computing Research, 53(4), 562–590. https://doi.org/10.1177/0735633 115608444