Integrasi Computational Thinking dalam Pendidikan Matematika: Tinjauan Literatur Sistematis
DOI:
https://doi.org/10.31851/indiktika.v7i2.15591Keywords:
pendidikan matematika, Computational ThinkingAbstract
Pemikiran Komputasional (Computational Thinking) telah diakui sebagai keterampilan kritis di era digital, relevan untuk berbagai disiplin ilmu dan penting untuk memecahkan masalah kompleks. Studi ini melakukan Tinjauan Literatur Sistematis (SLR) untuk menganalisis penelitian yang ada mengenai integrasi Computational Thinking dalam pendidikan. Metode SLR digunakan untuk mengidentifikasi, mengevaluasi, dan menyintesis temuan dari berbagai studi yang dipublikasikan antara tahun 2021 hingga 2024. Artikel ini bertujuan untuk mengumpulkan informasi tentang penerapan Computational Thinking dalam pendidikan. Pendekatan penelitian yang digunakan adalah tinjauan sistematis (Systematic Literatur Review) dengan fase: 1) Fase Identifikasi; 2) Fase Penyaringan; 3) Fase Kelayakan; dan 4) Fase Inklusi. Sumber data yang dianalisis berasal dari jurnal internasional yang terindexs schopus terbitan 4 tahun terakhir yakni dari tahun 2021 hingga 2024. Analisis data dilakukan dengan melakukan penelaahan dari sisi konten artikel yang telah memenuhi kriteria penilaian kelayakan artikel dan difokuskan pada pertanyaan penelitian. Hasil dari penelitian ini menjawab integrasi Computational Thinking dalam pembelajaran, sisi lainnya juga akan ditelaah menghubungkan Computational Thinking ke Sistem informasi dengan mengintegrasikan Sistem Thinking ke dalam penelitian Computational Thinking.
References
Akiba, D. (2022). Computational Thinking and Coding for Young Children: A Hybrid Approach to Link Unplugged and Plugged Activities. Education Sciences, 12(11), 793.
Astuti, A., Syahza, A., & Putra, Z. H. (2023). Penelitian Computational Thinking dalam Pembelajaran Matematika. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 12(1), 363–384.
Baig, M. I., & Yadegaridehkordi, E. (2023). Flipped Classroom in Higher Education: A Systematic Literature Review and Research Challenges. International Journal of Educational Technology in Higher Education, 20(1), 1–26.
Colclasure, B. C., Durham Brooks, T., Helikar, T., King, S. J., & Webb, A. (2022). The Effects of A Modeling and Computational Thinking Professional Development Program on STEM Educators’ Perceptions Toward Teaching Science and Engineering Practices. Education Sciences, 12(570), 1–18.
Dahshan, M., & Galanti, T. (2024). Teachers in The Loop: Integrating Computational Thinking and Mathematics to Build Early Place Value Understanding. Education Sciences, 14(201), 1–19.
del Olmo-Muñoz, J., Bueno-Baquero, A., Cózar-Gutiérrez, R., & González-Calero, J. A. (2023). Exploring Gamification Approaches for Enhancing Computational Thinking in Young Learners. Education Sciences, 13(5), 1–16.
Ersozlu, Z., Swartz, M., & Skourdoumbis, A. (2023). Developing Computational Thinking Through Mathematics: An Evaluative Scientific Mapping. Education Sciences, 13(4), 1–15.
Fauzi, A. L., Kusumah, Y. S., Nurlaelah, E., & Juandi, D. (2024). Computational Thinking in Mathematics Education: A Systematic Literature Review on its Implementation and Impact on Students’ Learning. Jurnal Kependidikan: Jurnal Hasil Penelitian Dan Kajian Kepustakaan Di Bidang Pendidikan, Pengajaran Dan Pembelajaran, 10(2), 640–653.
Gilchrist, P. O., Alexander, A. B., Green, A. J., Sanders, F. E., Hooker, A. Q., & Reif, D. M. (2021). Development of a Pandemic Awareness STEM Outreach Curriculum: Utilizing a Computational Thinking Taxonomy Framework. Education Sciences, 11(3), 109.
Hamidi, A., Mirijamdotter, A., & Milrad, M. (2023). A Complementary View to Computational Thinking and Its Interplay With Systems Thinking. Education Sciences, 13(2), 201.
Kaya, D., Yaşar, A. Ö., Çetin, İ., & Kutluca, T. (2025). The relationship between the 21st-century skills and computational thinking skills of prospective mathematics and science teachers.
Khan, S. (2025). Integrating Computational Thinking Across the Curriculum.
Kitchenham, B., & Charters, S. (2007). Guidelines for Performing Systematic Literature Reviews in Software Engineering Version 2.3. Engineering, 45(4ve), 1051.
Kjällander, S., Mannila, L., Åkerfeldt, A., & Heintz, F. (2021). Elementary Students’ First Approach to Computational Thinking and Programming. Education Sciences, 11(2), 80.
Kourti, Z., Michalakopoulos, C.-A., Bagos, P. G., & Paraskevopoulou-Kollia, E.-A. (2023). Computational Thinking in Preschool Age: A Case Study in Greece. Education Sciences, 13(2), 157.
Labadze, L., Grigolia, M., & Lela, M. (2023). Role of AI Chatbots in Education: Systematic Literature Review. International Journal of Eductional Technology in Higher Education. https://doi.org/http://dx.doi.org/10.1186/s41239-023-00426-1
Lestari, A. C., & Annizar, A. M. (2020). Proses Berpikir Kritis Siswa dalam Menyelesaikan Masalah PISA Ditinjau dari Kemampuan Berpikir Komputasi. Jurnal Kiprah, 8(1), 46–55.
Liu, Z., Gearty, Z., Richard, E., Orrill, C. H., Kayumova, S., & Balasubramanian, R. (2024). Bringing Computational Thinking into Classrooms: A Systematic Review on Supporting Teachers in Integrating Computational Thinking into K-12 Classrooms. International Journal of STEM Education, 11(1), 51.
Marethi, I., Rafianti, I., & Setiani, Y. (2024). Tinjauan Literatur Sistematis tentang Berpikir Komputasional dalam Pendidikan Matematika: Implikasi dan Tantangan. Wilangan: Jurnal Inovasi Dan Riset Pendidikan Matematika, 5(4), 351–368.
Molina-Ayuso, Á., Adamuz-Povedano, N., Bracho-López, R., & Torralbo-Rodríguez, M. (2022). Introduction to Computational Thinking with Scratch for Teacher Training for Spanish Primary School Teachers In Mathematics. Education Sciences, 12(12), 899.
Montuori, C., Pozzan, G., Padova, C., Ronconi, L., Vardanega, T., & Arfé, B. (2023). Combined unplugged and educational robotics training to promote computational thinking and cognitive abilities in preschoolers. Education Sciences, 13(9), 858.
Mumcu, F., Kidiman, E., & Özdinç, F. (2023). Integrating Computational Thinking into Mathematics Education through an Unplugged Computer Science Activity. Journal of Pedagogical Research, 7(2), 72–92.
Niousha, R., Saito, D., Washizaki, H., & Fukazawa, Y. (2023). Investigating the effect of binary gender preferences on computational thinking skills. Education Sciences, 13(5), 433.
Nuzzaci, A. (2024). Incorporating Computational Thinking into Education: From Teacher Training to Student Mastery. Journal of Education and Training, 11(2), 70–97.
Paucar-Curasma, R., Villalba-Condori, K. O., Mamani-Calcina, J., Rondon, D., Berrios-Espezúa, M. G., & Acra-Despradel, C. (2023). Use of Technological Resources for The Development of Computational Thinking Following The Steps of Solving Problems in Engineering Students Recently Entering College. Education Sciences, 13(3), 279.
Pellas, N., & Tzafilkou, K. (2023). The influence of absorption and need for cognition on students’ learning outcomes in educational robot-supported projects. Education Sciences, 13(4), 379.
Pérez-Suay, A., García-Bayona, I., Van Vaerenbergh, S., & Pascual-Venteo, A. B. (2023). Assessing a didactic sequence for computational thinking development in early education using educational robots. Education Sciences, 13(7), 669.
Silva, R., Fonseca, B., Costa, C., & Martins, F. (2021). Fostering computational thinking skills: A didactic proposal for elementary school grades. Education Sciences, 11(9), 518.
Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339.
Suarsana, I. M., Dasari, D., & Nurlaelah, E. (2024). Integration of Computational Thinking in Mathematics Education in Indonesia (Issue Icetech 2023). Atlantis Press International BV.
Suhendar, Y., & Rosita, N. T. (2023). Analisis Kemampuan Computational Thinking (CT) Peserta Didik Kelas 8 Smp Negeri 1 Jatinangor. Symmetry: Pasundan Journal of Research in Mathematics Learning and Education, 9(2), 191–203.
Tengler, K., Kastner-Hauler, O., Sabitzer, B., & Lavicza, Z. (2021). The effect of robotics-based storytelling activities on primary school students’ computational thinking. Education Sciences, 12(1), 10.
Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence‐informed management knowledge by means of systematic review. British Journal of Management, 14(3), 207–222.
Villalustre, L., & Cueli, M. (2023). Assessing the computational thinking of pre-service teachers: A gender and robotics programming experience analysis. Education Sciences, 13(10), 1032.
Yadav, A., Stephenson, C., & Hong, H. (2017). Computational thinking for teacher education. Communications of the ACM, 60(4), 55–62.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Dedy Rosadi, Ketut Agustini, Gede Rasben Dantes, I Gde Wawan Sudatha
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
