Students’ Computational Thinking Skills in PISA Problem Solving: Insights from Multiple Intelligences Theory
DOI:
https://doi.org/10.26740/jrpipm.v9n1.p1-17Keywords:
Computational Thinking, PISA, Multiple IntelligencesAbstract
Computational thinking (CT) has become one of the essential skills in responding to the dynamic and rapid advancement of technology, as it enables individuals to solve problems effectively, efficiently, and optimally. Various studies have examined CT in mathematics education, but few have considered students' cognitive diversity, particularly the theory of multiple intelligences. The connection between CT and multiple intelligences theory has not been widely explored, even though this theory offers a holistic approach to cognitive potential. This study aims to describe students’ computational thinking abilities in solving PISA questions on space and shape content from the perspective of multiple intelligences. The method used in this study is descriptive qualitative. The research instruments include a computational thinking test, interview guidelines, and a multiple intelligences test. The research subjects consist of three students from SMP Muhammadiyah 2 Surakarta who were selected based on their dominant type of intelligence to represent each intelligence category, namely Linguistic-Verbal (LV), Logical-Mathematical (LM), and Visual-Spatial (VS). The research findings show that students with LV intelligence were able to fulfill all indicators of CT, namely decomposition, pattern recognition, abstraction, and algorithm. Students with LM intelligence demonstrated competence in decomposition, pattern recognition, and algorithm. Students with VS intelligence fulfilled pattern recognition and abstraction.
References
Aminah, N., Sukestiyarno, Y. L., Cahyono, A. N., & Maat, S. M. (2023). Student activities in solving mathematics problems with a computational thinking using Scratch. International Journal of Evaluation and Research in Education (IJERE), 12(2), 613. https://doi.org/10.11591/ijere.v12i2.23308
Cachero, C., Barra, P., Melia, S., & Lopez, O. (2020). Impact of Programming Exposure on the Development of Computational Thinking Capabilities: An Empirical Study. IEEE Access, 8, 72316–72325. https://doi.org/10.1109/ACCESS.2020.2987254
Cahdriyana, R. A., & Richardo, R. (2020). Berpikir Komputasi Dalam Pembelajaran Matematika. LITERASI (Jurnal Ilmu Pendidikan), 11(1), 50. https://doi.org/10.21927/literasi.2020.11(1).50-56
Czerkawski, B. C., & Lyman, E. W. (2015). Exploring Issues About Computational Thinking in Higher Education. TechTrends, 59(2), 57–65. https://doi.org/10.1007/s11528-015-0840-3
Duffy, G., Sorby, S., & Bowe, B. (2024). Exploring the role of spatial ability in the mental representation of word problems in mathematics. Frontiers in Education, 9. https://doi.org/10.3389/feduc.2024.1346474
Elyasarikh, A. A., Ekawati, R., & Shodikin, A. (2025). Solving the PISA model problem: How is students’ computational thinking based on self-efficacy level?. In AIP Conference Proceedings (Vol. 3316, No. 1). AIP Publishing. https://doi.org/10.1063/5.0290366
Fakhriyana, D., Mardiyana, & Aryuana, D. R. (2018). Analisis Kemampuan Literasi Matematika dalam Memecahkan Masalah Model Programme for International Student Assessment (PISA) pada Konten Perubahan dan Hubungan Ditinjau dari Kecerdasan Logis Matematis Siswa Kelas IX SMP Muhammadiyah Program Khusus Surakarta. Jurnal Pendidikan Matematika dan Matematika, 11(6), 421–434.
Gardner, H. (1983). Frames of mind : the theory of multiple intelligence. Basic Books.
Gardner, H. E. (2000). Intelligence Reframed: Multiple Intelligences for the 21st Century. Basic Books.
Hartono, H., Febriani, N., & Prihatin, I. (2019). Kemampuan Menerjemahkan Ekspresi Aljabar Ditinjau dari Kecerdasan Majemuk Siswa. MaPan, 7(2), 328–341. https://doi.org/10.24252/10.24252/mapan.2019v7n2a11
Hasanah, U., & Jailani, J. (2024). Analysis of Mathematical Problem-Solving Ability in Terms of Multiple Intelligence, Cognitive Style and Learning Style of Junior High School Students. International Journal of Multicultural and Multireligious Understanding, 11(10), 497. https://doi.org/10.18415/ijmmu.v11i10.6317
Hurt, T., Greenwald, E., Allan, S., Cannady, M. A., Krakowski, A., Brodsky, L., Collins, M. A., Montgomery, R., & Dorph, R. (2023). The computational thinking for science (CT-S) framework: operationalizing CT-S for K–12 science education researchers and educators. International Journal of STEM Education, 10(1), 1. https://doi.org/10.1186/s40594-022-00391-7
Indahyani, N. M. S., Paloloang, B., & Rochaminah, S. (2022). Analisis Pemecahan Masalah Luas Permukaan dan Volume Balok Siswa Kelas VIII SMP Negeri 1 Palu Berdasarkan Tahapan Polya Ditinjau dari Kecerdasan Visual Spasial dan Kecerdasan Logis Matematis. Jurnal Elektronik Pendidikan Matematika Tadulako, 10(1), 84–98.
Iskandar, I., Wahyudin, W., Suhendra, S., Ramlah, R., & Ardiyanti, Y. (2024). Mathematical literacy of senior high school students on different multiple intelligences groups. Research and Development in Education (RaDEn), 4(2), 1216–1229. https://doi.org/10.22219/raden.v4i2.36300
Ismawati, I., & Setianingsih, R. (2019). Kemampuan Komunikasi Matematis Siswa SMP berdasarkan Kecerdasan Linguistik dan Kecerdasan Logis Matematis dalam Menyelesaikan Masalah SPLDV. MATHEdunesa, 8(3), 524–530. https://doi.org/10.26740/mathedunesa.v8n3.p524-530
Juldial, T. U. H., & Haryadi, R. (2024). Analisis Keterampilan Berpikir Komputasional dalam Proses Pembelajaran. Jurnal Basicedu, 8(1), 136–144. https://doi.org/10.31004/basicedu.v8i1.6992
Kurniawati, I., & Kurniasari, I. (2019). Literasi Matematika Siswa Dalam Menyelesaikan Soal Pisa Konten Space and Shape Ditinjau dari Kecerdasan Majemuk. Mathedunesa: Jurnal Ilmiah Pendidikan Matematika, 8(2), 441–448. https://doi.org/10.26740/mathedunesa.v8n2.p441-448
Li, Z., & Oon, P. T. (2024). The transfer effect of computational thinking (CT)-STEM: a systematic literature review and meta-analysis. International Journal of STEM Education, 11(1), 44. https://doi.org/10.1186/s40594-024-00498-z
Natsir, I., & Munfarikhatin, A. (2021). Analisis Kemampuan Literasi Matematika Siswa Berdasarkan Multiple Intelligence dalam Menyelesaikan Soal Matematika. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 10(1), 273. https://doi.org/10.24127/ajpm.v10i1.3384
Nurhajarurahmah, S. Z. (2021). Students’ Multiple Intelligence in Visualization of Mathematics Problem Solving. Journal of Physics: Conference Series, 1752(1), 012063. https://doi.org/10.1088/1742-6596/1752/1/012063
Pertiwi, K. J., & Setyaningsih, N. (2024). Students Mathematical Literacy Level in Solving PISA-Based Problems Shape and Space Content: Analysis from the perspective of self-concept mathematics. Jurnal Riset Pendidikan Dan Inovasi Pembelajaran Matematika (JRPIPM), 7(2), 105–116. https://doi.org/10.26740/jrpipm.v7n2.p105-116
PISA 2022 Assessment and Analytical Framework. (2023). OECD. https://doi.org/10.1787/dfe0bf9c-en
Pradini, W. (2019). Analisis kesalahan siswa dalam menyelesaikan soal cerita persamaan linear dua variabel. Pythagoras: Jurnal Pendidikan Matematika, 14(1), 33–45. https://doi.org/10.21831/pg.v14i1.21481
Qadry, I. K., Dassa, A., & Aynul, N. (2022). Analisis Kemampuan Literasi Matematika Siswa dalam Menyelesaikan Soal Pisa Konten Space and Shape pada Kelas IX SMP Negeri 13 Makassar. Infinity: Jurnal Matematika Dan Aplikasinya, 2(2), 78–92. https://science.e-journal.my.id/ijma/article/view/99
Rahma, F. L., Indah Aditya Putri, Mila Sari Tanjung, & Rosliana Siregar. (2024). Studi Literatur: Pentingnya Berpikir Komputasional dalam Meningkatkan Kemampuan Pemecahan Masalah Matematis Peserta Didik. Bilangan : Jurnal Ilmiah Matematika, Kebumian Dan Angkasa, 2(2), 23–33. https://doi.org/10.62383/bilangan.v2i2.36
Rosalina, A. D., & Ekawati, R. (2017). Profil Pemecahan Masalah Pisa pada Konten Change and Relationship Siswa SMP Ditinjau dari Kecerdasan Linguistik, Logis-Matematis, dan Visual-Spasial. Mathedunesa: Jurnal Ilmiah Pendidikan Matematika, 3(6), 53–62. https://ejournal.unesa.ac.id/index.php/mathedunesa/article/view/21725
Silwana, A., Subanji, Manyunu, M., & Rashahan, A. A. (2021). Students’ Responses Leveling in Solving Mathematical Problem Based on SOLO Taxonomy Viewed from Multiple Intelligences. Indonesian Journal on Learning and Advanced Education (IJOLAE), 1–16. https://doi.org/10.23917/ijolae.v3i1.10528
Sukirman, S., Ibharim, L. F. M., Said, C. S., & Murtiyasa, B. (2024). The Effect of Virtual Reality Gaming on Developing Computational Thinking Skills. The Indonesian Journal of Computer Science, 13(2). https://doi.org/10.33022/ijcs.v13i2.3829
Utami, N. W., Dwi Susandi, A., Yudi Purwoko, R., Agustina Putri, A., Deshinta Ayuningtyas, A., & Irfan, M. (2024). Analysis of students’ computational thinking skills in solving algebraic problems in cultural contexts. Edelweiss Applied Science and Technology, 8(5), 662–671. https://doi.org/10.55214/25768484.v8i5.1730
Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33–35. https://doi.org/10.1145/1118178.1118215
Zhang, Y., & Savard, A. (2023). Defining Computational Thinking as an Evident Tool in Problem-Solving: Comparative Research on Chinese and Canadian Mathematics Textbooks. ECNU Review of Education, 6(4), 677–699. https://doi.org/10.1177/20965311231158393
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