Eksplorasi Hubungan Critical Thinking Disposition dan Computational Thinking Skills dalam Problem-Based Learning Model
DOI:
https://doi.org/10.55340/japm.v11i2.1985Kata Kunci:
Critical Thinking Disposition, Computational Thinking Skills, Problem-Based Learning, Pembelajaran MatematikaAbstrak
Critical Thinking Disposition (CTD) dan Computational Thinking Skills (CTS) merupakan kompetensi esensial yang diperlukan untuk menghadapi kompleksitas tantangan abad ke-21, khususnya dalam pembelajaran matematika di tingkat SMA. Penelitian ini bertujuan untuk mendeskripsikan tingkat pencapaian CTS dan CTD siswa setelah mengikuti pembelajaran berbasis Problem-Based Learning (PBL), serta menganalisis hubungan antara kedua variabel tersebut. Penelitian menggunakan pendekatan kuantitatif dengan desain deskriptif–korelasional, melibatkan 55 siswa kelas X dari salah satu SMA swasta di kota Medan yang dipilih melalui teknik purposive sampling. Data CTS diperoleh melalui tes essay berupa pemecahan masalah matematis, sedangkan CTD diukur melalui angket dengan skala Likert. Analisis deskriptif menunjukkan bahwa baik CTD maupun CTS berada pada kategori capaian yang tinggi dengan variasi data yang moderat. Hasil uji korelasi Pearson mengungkapkan hubungan positif yang kuat dan signifikan antara CTD dan CTS (r = 0.723; p = 0.001 < 0.05), yang mengindikasikan bahwa kecenderungan disposisi berpikir kritis berkontribusi substansial terhadap pengembangan keterampilan berpikir komputasional siswa. Temuan ini menegaskan bahwa PBL merupakan pendekatan pedagogis yang efektif dalam mengintegrasikan aspek disposisional dan kognitif secara simultan, dan memberikan implikasi penting bagi desain pembelajaran yang berorientasi pada penguatan keterampilan berpikir tingkat tinggi. Penelitian selanjutnya direkomendasikan untuk memperluas cakupan variabel dan desain longitudinal guna memperkuat generalisasi temuan.
Unduhan
Referensi
Aksakal, H., & Kucuk, S. (2025). Secondary school students’ computational thinking skills, group cohesion, and performance in problem-based programming education. Journal of Systems and Software, 230. https://doi.org/10.1016/j.jss.2025.112535
Bellare, M., Coppersmith, D., Hastad, J., Kiwi, M., & Sudan, M. (2002). Linearity testing in characteristic two. IEEE Transactions on Information Theory, 42(6), 1781–1795.
Brennan, K., & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. Proceedings of the 2012 Annual Meeting of the American Educational Research Association, Vancouver, Canada, 1, 25.
Denning, P. J., & Tedre, M. (2019). Computational Thinking. https://doi.org/10.7551/mitpress/11740.001.0001
Facione, N. C., Facione, P. A., & Sanchez, C. A. (1994). Critical thinking disposition as a measure of competent clinical judgment: the development of the California Critical Thinking Disposition Inventory. Journal of Nursing Education, 33(8), 345–350. https://doi.org/10.3928/0148-4834-19941001-05
Handayani, R. D., Prastowo, S. H. B., Prihandono, T., Nuraini, L., Supriadi, B., Maryani, M., Bektiarso, S., Lesmono, A. D., & Mahardika, I. K. (2022). Computational Thinking: Students’ Abstraction on the Concepts of Kinematics. Jurnal Penelitian Pendidikan Ipa, 8(1), 114–118. https://doi.org/10.29303/jppipa.v8i1.1188
Hegade, P., & Shettar, A. (2022). Effectiveness of Computational Thinking in Problem Based Learning. Journal of Engineering Education Transformations, 36(Special Issue 2), 179–185. https://doi.org/10.16920/jeet/2023/v36is2/23025
Ji, W., & Wong, G. K. W. (2025). Integrating problem-based learning and computational thinking: cultivating creative thinking in primary education. Frontiers in Education, 10. https://doi.org/10.3389/feduc.2025.1625105
Julfianto, M., Suanto, E., & Siregar, S. N. (2022). Developing Problem Based Learning Device to Grow Students’ Mathematical Critical Thinking Ability. Jurnal Gantang, 7(2), 173–184.
Lisa, L., Hasratuddin, H., Sinaga, B., Napitupulu, E. E., & Panjaitan, A. (2024). Computational Thinking Skills in Understanding The Limit of Algebraic Functions. Mathline: Jurnal Matematika Dan Pendidikan Matematika, 9(2), 365–380.
Liu, Y., & Pásztor, A. (2022). Effects of problem-based learning instructional intervention on critical thinking in higher education: A meta-analysis. Thinking Skills and Creativity, 45, 101069.
Lubis, T. Y., Sinaga, B., & Mulyono, M. (2023). Learning Tool Project to Create PBL Model to Stimulate Computational Thinking Ability of Students. Randwick International of Education and Linguistics Science Journal, 4(4), 965–971.
Lüdecke, D., Ben-Shachar, M. S., Patil, I., Waggoner, P., & Makowski, D. (2021). performance: An R package for assessment, comparison and testing of statistical models. Journal of Open Source Software, 6(60).
Masruroh, V., Lusiana, R., & Susanti, V. D. (2023). Development of Student Worksheets Oriented to Problem Based Learning Integrated 21st Century Skills. AL-ISHLAH: Jurnal Pendidikan, 15(1), 519–532.
Nelson Laird, T. F. N. (2005). College students’ experiences with diversity and their effects on academic self-confidence, social agency, and disposition toward critical thinking. Research in Higher Education, 46(4), 365–387. https://doi.org/10.1007/s11162-005-2966-1
Niswa, W. K., Agustiningsih, A., & Mahmudi, K. (2022). Problem-Based Learning (PBL): An Innovation in Natural Sciences Studies to Improve Critical Thinking Skills. Pancaran Pendidikan, 11(2).
Oktaviani, D., & Satanti, S. (2024). Improving Unplugged Computational Thinking Skills Through Integrated Problem-Based and Differentiated Learning in Indonesia. Acta Paedagogica Vilnensia, 52, 93–110. https://doi.org/10.15388/ActPaed.2024.52.10
Palinussa, A. L., Lakusa, J. S., & Moma, L. (2023). Comparison of problem-based learning and discovery learning to improve students’ mathematical critical thinking skills. Formatif: Jurnal Ilmiah Pendidikan MIPA, 13(1).
Ramaila, S., & Shilenge, H. (2023). Integration of Computational Thinking Activities in Grade 10 Mathematics Learning. International Journal of Research in Business and Social Science (2147-4478), 12(2), 458–471. https://doi.org/10.20525/ijrbs.v12i2.2372
Scott, J. D., Rubenstein, E., Peake, J., Fuhrman, N. E., & Hall, J. N. (2025). Examining Student Critical Thinking Dispositions within the College and Career Readiness of Students Involved in FFA and 4-H in Georgia. Journal of Youth Development, 20(3), 125–145. https://www.scopus.com/inward/record.uri?eid=2-s2.0-105015993980&partnerID=40&md5=2659d206eef499d11177b1a1eb2b9f33
Shin, H., Park, C. G., & Kim, H. (2015). Validation of Yoon’s critical thinking disposition instrument. Asian Nursing Research, 9(4), 342–348.
Sosu, E. M. (2013). The development and psychometric validation of a Critical Thinking Disposition Scale. Thinking Skills and Creativity, 9, 107–119. https://doi.org/10.1016/j.tsc.2012.09.002
Syahfitri, J., & Muntahanah, M. (2024). The effectiveness of local wisdom-based interactive digital module on students’ critical thinking disposition. International Journal of Evaluation and Research in Education (IJERE), 13(4), 2170.
Syamsulrizal, n., Khabibah, S., & Lukito, A. (2025). Critical thinking disposition: A systematic literature review. AIP Conference Proceedings, 3316(1). https://doi.org/10.1063/5.0290331
Verawati, N. N. S. P., Rokmat, J., Sukarso, A. A., Harjono, A., & Makhrus, M. (2024). Analysis of Students’ Critical Thinking Disposition in Science Learning. Jurnal Pendidikan Fisika Dan Teknologi, 10(1), 200–210.
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. https://doi.org/10.1007/s10956-015-9581-5
Weng, X., Ye, H., Dai, Y., & Ng, O. (2024). Integrating Artificial Intelligence and Computational Thinking in Educational Contexts: A Systematic Review of Instructional Design and Student Learning Outcomes. Journal of Educational Computing Research, 07356331241248686.
Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33–35.
Wing, J. M. (2008). Computational Thinking and Thinking About Computing. https://doi.org/10.1109/ipdps.2008.4536091
Yadav, A., Hai, H., & Stephenson, C. (2016). Computational Thinking for All: Pedagogical Approaches to Embedding 21st Century Problem Solving in K-12 Classrooms. Techtrends, 60(6), 565–568. https://doi.org/10.1007/s11528-016-0087-7
Zhao, Y., Liu, Y., Pásztor, A., & Molnár, G. (2025). Relationships Among Components of Critical Thinking Disposition in Primary School Students: An Investigation Based on Hungarian Context. Psychology in the Schools, 62(7), 2029–2046. https://doi.org/10.1002/pits.23445



















