Optimizing Science Concept Learning: The Challenge of Computational Thinking Skills Integration
Article Number: e2025206 | Available Online: May 2025 | DOI: 10.22521/edupij.2025.16.206
Roy Ardiansyah , Soetarno Joyoatmojo , Gunarhadi , Idam Ragil Widianto Atmojo , Ira Wati Subandi , Rizqi Karisma Rahmadian
Full text PDF |
3571 |
2201
Abstract
|
Background/purpose. 21st-century skills are essential across all aspects of life in the modern era. Pre-service elementary school teachers must also develop computational thinking skills as part of the problem-solving process—one of the most critical 21st-century competencies. These skills are critical in science learning and serve as fundamental expertise for future elementary school teachers in their profession. This study aims to analyze the learning of science concepts in the Natural Resources and Energy course and to describe the implementation of computational thinking skills integration into the learning of science concepts in the same course. Materials/methods. This research employs a survey method, utilizing observation sheets and questionnaires as instruments. The study involved 198 students from the Elementary School Teacher Education program at the Faculty of Teacher Training and Education, Universitas Sebelas Maret. Results. Findings indicate that science concept learning in the Elementary School Teacher Education program has not yet effectively facilitated computational thinking skills. Observation data reveal that the current learning implementation provides insufficient stimulation for computational thinking skills, with an average rate below 50%, except for learning objectives exceeding 50%. Moreover, real-world case presentations are only incorporated at a rate of 35%. The integration of computational thinking skills in science concept learning remains significantly low. All key aspects of computational thinking—decomposition, pattern recognition, abstraction, and algorithm—score below 50%. |
Conclusion. Current science concept learning practices in the Elementary School Teacher Education program need to be restructured to optimize the development of computational thinking skills among pre-service elementary school teachers.
Keywords: computational thinking skills, science concept learning, elementary school, learning models
ReferencesAgbo, F. J., Okpanachi, L. O., Ocheja, P., Oyelere, S. S., & Sani, G. (2024). How can unplugged approach facilitate novice students’ understanding of computational thinking? An exploratory study from a Nigerian university. Thinking Skills and Creativity, 51. https://doi.org/10.1016/j.tsc.2023.101458
Anderson, N. D. (2016). A call for computational thinking in undergraduate psychology. Psychology Learning and Teaching, 15(3), 226–234. https://doi.org/10.1177/1475725716659252
Amalia, A. R. (2022, November). Model computational thinking pada kurikulum merdeka sebagai inovasi pembelajaran di SD. In Proseding Didaktis: Seminar Nasional Pendidikan Dasar, 7(1), 499-507).
Anistyasari, Y., Ekohariadi, E., & Hidayati, S. C. (2022). Stimulasi berpikir komputasi melalui digital storytelling menggunakan coSpaces edu. Journal of Information Engineering and Educational Technology, 6(1), 1–6. https://doi.org/10.26740/jieet.v6n1.p1-6
Angeli, C., & Giannakos, M. N. (2020). Computational thinking education: Issues and challenges. Computers in Human Behavior, 105, 106185. https://doi.org/10.1016/j.chb.2019.106185
Ardiansyah, R., Atmojo, I. R. W., & Widianto, J. T. (2024). Literature Review: Computational thinking dalam pembelajaran IPAS Sekolah Dasar. Jurnal Pendidikan Dasar, 12(1), 77-83. https://doi.org/10.20961/jpd.v12i1.92929
Arnyana, I. B. P. (2019). Pembelajaran untuk Meningkatkan Kompetensi 4C (Communication, Collaboration, Critical Thinking dan Creative Thinking) untuk Menyongsong Era Abad 21. Prosiding: Konferensi Nasional Matematika Dan IPA Universitas PGRI Banyuwangi, 1(1), i–xiii.
Asbell-Clarke, J., Rowe, E., Almeda, V., Edwards, T., Bardar, E., Gasca, S., Baker, R. S., & Scruggs, R. (2021). The development of students’ computational thinking practices in elementary- and middle-school classes using the learning game, Zoombinis. Computers in Human Behavior, 115. https://doi.org/10.1016/j.chb.2020.106587
Brackmann, C., Moreno-León, J., Román-González, M., Casali, A., Robles, G., & Barone, D. (2017). Development of computational thinking skills through unplugged activities in primary school. ACM International Conference Proceeding Series, 65–72. https://doi.org/10.1145/3137065.3137069
Cheng, L., Wang, X., & Ritzhaupt, A. D. (2023). The effects of computational thinking integration in STEM on students’ learning performance in K-12 education: A meta-analysis. Journal of Educational Computing Research, 61(2), 1–25. https://doi.org/10.1177/07356331221114183
Cresswell, J. W., Plano-Clark, V. L., Gutmann, M. L., & Hanson, W. E. (2003). Desain penelitian metode campuran tingkat lanjut. Buku Pegangan Metode Campuran dalam Penelitian Sosial dan Perilaku, 209–240.
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
Cansu, F. K., & Cansu, S. K. (2019). An overview of computational thinking. International Journal of Computer Science Education in Schools, 3(1), 17–30. https://doi.org/10.21585/ijcses.v3i1.53
Csizmadia, A., Curzon, P., Dorling, M., Humphreys, S., Ng, T., Selby, C., & Woollard, J. (2015). Computational Thinking: A Guide for Teachers. Computing At School, October 2018, 18, 7-8.
Dalyono, M. (2012). Psikologi Pendidikan. Jakarta: Rineka Cipta
Daryanes, F., Darmadi, D., Fikri, K., Sayuti, I., Rusandi, M. A., & Situmorang, D. D. B. (2023). The development of articulate storyline interactive learning media based on case methods to train student's problem-solving ability. Heliyon, 9(4). https://doi.org/10.1016/j.heliyon.2023.e15082
Denning, P. J., & Tedre, M. (2019). Computational Thinking: A Disciplinary Perspective. Informatics in Education, 20(3), 361. https://doi.org/10.15388/infedu.2021.21
Dharmayanthi, N. P. I. (2023). Penerapan Model Case Based Learning (CBL) untuk Mengembangkan Critical Thinking Skills Siswa dalam Pembelajaran Geografi di SMA Negeri 1 Kuta Utara. Jurnal Pendidikan Geografi Undiksha, 10(3), 291–300. https://doi.org/10.23887/jjpg.v10i3.50446
Diantary, V. A., & Akbar, B. (2022). Perbandingan Keterampilan Computational Thinking Antara Sekolah Dasar Akreditasi A dengan Sekolah Dasar Akreditasi B Pada Mata Pelajaran Matematika. Jurnal Cendekia : Jurnal Pendidikan Matematika, 6(3), 2749–2756. https://doi.org/10.31004/cendekia.v6i3.1576
Desstya, A. (2016). Kedudukan Dan Aplikasi Pendidikan Sains Di Sekolah Dasar. Profesi Pendidikan Dasar, 1(2), 193–200. https://doi.org/10.23917/ppd.v1i2.1002
Doleck, T., Bazelais, P., Lemay, D. J., Saxena, A., & Basnet, R. B. (2017). Algorithmic thinking, cooperativity, creativity, critical thinking, and problem solving: exploring the relationship between computational thinking skills and academic performance. Journal of Computers in Education, 4(4), 355–369. https://doi.org/10.1007/s40692-017-0090-9
Fauji, T., Sampoerna, P. D., & Hakim, L. E. (2022). Penilaian Berpikir Komputasi Sebagai Kecakapan Baru dalam Literasi Matematik. Prosiding Seminar Nasional Fakultas Tarbiyah dan Keguruan Universitas Negeri Alauddin Makasar, 598–514.
Fauzi, A., Ermiana, I., Rosyidah, A. N. K., & Sobri, M. (2022). Implementasi Case Method (Pembelajaran Berbasis Pemecahan Kasus) Ditinjau Dari Kemampuan Kolaboratif Mahasiswa. Jurnal Eduscience, 9(3), 809–817. https://doi.org/10.36987/jes.v9i3.3446
Fitriani, W., Suwarjo, S., & Wangid, M. N. (2021). Berpikir Kritis dan Komputasi: Analisis Kebutuhan Media Pembelajaran di Sekolah Dasar. Jurnal Pendidikan Sains Indonesia, 9(2), 234–242. https://doi.org/10.24815/jpsi.v9i2.19040
Fried, D., Legay, A., Ouaknine, J., & Vardi, M. Y. (2018, July). Sequential relational decomposition. In Proceedings of the 33rd annual ACM/IEEE Symposium on Logic in computer science, 432-441). https://doi.org/10.1145/3209108.3209203
Grover, S., & Pea, R. (2013). Computational thinking in K–12: A review of the state of the field. Educational Researcher, 42(1), 38-43.
Harefa, D., Sarumaha, M., Fau, A., Telaumbanua, T., Hulu, F., Telambanua, K., Sari Lase, I. P., Ndruru, M., & Marsa Ndraha, L. D. (2022). Penggunaan Model Pembelajaran Kooperatif Tipe Jigsaw Terhadap Kemampuan Pemahaman Konsep Belajar Siswa. Aksara: Jurnal Ilmu Pendidikan Nonformal, 8(1), 325. https://doi.org/10.37905/aksara.8.1.325-332.2022
Hunsaker, E. (2020). The K-12 Educational Technology Handbook (1st ed.). https://doi.org/https://dx.doi.org/10.59668/7
Hsu, T. C., Chang, S. C., & Hung, Y. T. (2018). How to learn and how to teach computational thinking: Suggestions based on a review of the literature. Computers and Education, 126, 296–310. https://doi.org/10.1016/j.compedu.2018.07.004
Ioannidou, A., Bennett, V., Repenning, A., Koh, K. H., & Basawapatna, A. (2011). Computational Thinking Patterns. Online Submission, 2, 1–15. http://www.eric.ed.gov/ERICWebPortal/recordDetail?accno=ED520742
Jamalludin, J., Muddakir, I., & Wahyuni. S. (2022). Analisis Keterampilan Berpikir Komputasi Peserta Didik SMP Berbasis Pondok Pesantren pada Pembelajaran IPA. Jurnal Pendidikan Mipa, 12(2), 265–269. https://doi.org/10.37630/jpm.v12i2.593
Jamna, N. D., Hamid, H., & Bakar, M. T. (2022). Analisis Kemampuan berpikir Komputasi Matematis Siswa SMP pada Materi Persamaan Kuadrat. Jurnal Pendidikan Guru Matematika, 2(3). 277. https://doi.org/10.33387/jpgm.v2i3.5149
Jauhariyah, M. N. R., Sunarti, T., Wasis, W., Setyarsih, W., Zainuddin, A., Fatimah, S., Syahidi, K., Safitri, N. S. (2021). Scientific Research Trend on Creativity in Physics Learning. International Joint Conference on Science and Engineering 2021 (IJCSE 2021), 209(Ijcse), 560–567.
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
Kamil, M. R., Ihsan Imami, A., Prasetyo Abadi, A., Matematika, P., & Singaperbangsa Karawang, U. (2021). Analisis kemampuan berpikir komputasional matematis Siswa Kelas IX SMP Negeri 1 Cikampek pada materi pola bilangan. AKSIOMA: Jurnal Matematika Dan Pendidikan Matematika, 12(2), 259–270. https://journal.upgris.ac.id/index.php/aksioma/article/view/8447
Kite, V., Park, S., & Wiebe, E. (2021). The code-centric nature of computational thinking education: A review of trends and issues in computational thinking education research. Sage Open, 11(2), https://doi.org/10.1177/21582440211016418
Kolb, J. (2023). Muslim diversity, religious formation and Islamic religious education. Everyday practical insights into Muslim parents’ concepts of religious education in Austria. British Journal of Religious Education, 45(2), 172-185.
Kong, S. C., & Abelson, H. (2019). Computational thinking education (p. 382). Springer Nature. https://doi.org/https://doi.org/10.1007/978-981-13-6528-7
Labusch, A., Eickelmann, B., & Vennemann, M. (2019). Computational thinking processes and their congruence with problem-solving and information processing. In S. Kong & H. Abelson (Eds.), Computational Thinking Education (pp. 65–78). Springer. https://doi.org/10.1007/978-981-13-6528-7_5
Lase, D. (2019). Pendidikan di Era Revolusi Industri 4.0. SUNDERMANN: Jurnal Ilmiah Teologi, Pendidikan, Sains, Humaniora Dan Kebudayaan, 12(2), 28 43. https://doi.org/10.36588/sundermann.v1i1.18
Lestari, A. C., & Annizar, A. M. (2020). Proses Berpikir Kritis Siswa dalam Menyelesaikan Masalah PISA Ditinjau dari Kemampuan Berpikir Komputasi. Jurnal Kiprah, 8(1), hlm. 46–55. https://doi.org/10.31629/kiprah.v8i1.2063
Lestari, S., & Roesdiana, L. (2023). Analisis kemampuan berpikir komputasional matematis siswa pada materi program linear. Range: Jurnal Pendidikan Matematika, 4(2), 178–188. https://doi.org/10.32938/jpm.v4i2.3592
Liu, L. (2023). Integrating computational thinking into K-12 education: Bridging the gap between theories and practices. STEM Education Review, 3(4), 467. https://doi.org/10.54844/stemer.2023.0467
Lodi, M., & Martini, S. (2021). Computational thinking, between papert and wing. Science and Education, 30(4), 883–908. https://doi.org/10.1007/s11191-021-00202-5
Malik, S., Prabawa, H. W., & Rusnayati, H. (2019). Peningkatan Kemampuan Berpikir Komputasi Siswa melalui Multimedia Interaktif Berbasis Model Quantum Teaching and Learning. International Journal of Computer Science Education in Schools, 8(November), 41. https://doi.org/10.13140/RG.2.2.34438.83526
Mania, S. (2021). Pengembangan instrumen tes untuk mengukur kemampuan berpikir komputasi siswa. JPMI (jurnal pembelajaran matematika inovatif), 4(1), 17-26. https://doi.org/10.22460/jpmi.v4i1.17-26
Mestry, R. (2017). Empowering principals to lead and manage public schools effectively in the 21st century. South African Journal of Education, 37(1), 1 11. https://doi.org/10.15700/saje.v37n1a1334
Noh, J., & Lee, J. (2020). Effects of robotics programming on the computational thinking and creativity of elementary school students. Educational Technology Research and Development, 68(1), 463–484. https://doi.org/10.1007/s11423-019-09708-w
Nugraha, D. M. D. P. (2022). Hubungan Kemampuan Literasi Sains Dengan Hasil Belajar IPA Siswa Sekolah Dasar. Jurnal Elementary, 5(2), 153–158. http://journal.ummat.ac.id/index.php/elementary
Nugroho, R. A. I. (2022). Upaya Peningkatan Kompetensi Guru dalam Penyusunan RPP Berorientasi HOTS melalui In House Training di SD Negeri Panjatan. Jurnal Riset Pendidikan Indonesia, 2(10), 1373-1382.
Nurwulandari, I., Sajidan, S., Rochsantiningsih, D., & Sukarmin, S. (2024). Optimisation of Critical Thinking, Creative Thinking, Collaboration, and Communication (4C) in the Micro Teaching Programme in the Department of Elementary School Teacher Education. Ianna Journal of Interdisciplinary Studies, 6(2), 263–276.
OECD. (2023). PISA 2022 Results (Volume I) (PISA). OECD. https://doi.org/10.1787/53f23881-en
Pantić, N., & Wubbels, T. (2012). Competence-based teacher education: A change from Didaktik to Curriculum culture? Journal of Curriculum Studies, 44(1), 61–87. https://doi.org/10.1080/00220272.2011.620633
Peel, A., Sadler, T. D., & Friedrichsen, P. (2021). Using unplugged computational thinking to scaffold natural selection learning. American Biology Teacher, 83(2), 112–117. https://doi.org/10.1525/abt.2021.83.2.112
Piatti, A., Adorni, G., El-Hamamsy, L., Negrini, L., Assaf, D., Gambardella, L., & Mondada, F. (2022). The CT-cube: A framework for the design and the assessment of computational thinking activities. Computers in Human Behavior Reports, 5. https://doi.org/10.1016/j.chbr.2021.100166
Prawiyogi, A. G., Sadiah, T. L., Purwanugraha, A., & Elisa, P. N. (2021). Penggunaan Media Big Book untuk Menumbuhkan Minat Membaca di Sekolah Dasar. Jurnal Basicedu, 5(1), 446–452. https://doi.org/10.31004/basicedu.v5i1.787
Puspita, D., & Dwikoranto, D. (2020). Validitas Perangkat Model Pembelajaran Case Based Learning Untuk Melatihkan Pemecahan Masalah Peserta Didik Pada Materi Getaran Harmonis Sederhana. IPF: Inovasi Pendidikan Fisika, 9(3), 543–550. https://ejournal.unesa.ac.id/index.php/inovasi-pendidikan-fisika/article/view/35916
Putri, W. A., Astalini, A., & Darmaji. D. (2022). Analisis Kegiatan Praktikum untuk Dapat Meningkatkan Keterampilan Proses Sains dan Kemampuan Berpikir Kritis. Edukatif: Jurnal Ilmu Pendidikan, https://doi.org/10.31004/edukatif.v4i3.2638
Ramlawati, R., Tawil, M., Rismayani, Mamin, R., & Arif, R.N.H. (2019). Scientific Approach to Enhance Students’ Science Process Skills. In I. Ifdil, Y. Yohandri, K. Krismadinata, & R. Rahim (Eds.), Education, Science, and Technology in Industrial Revolution 4.0 (pp. 306 - 313). Jakarta: Redwhite Press. https://doi.org/10.32698//tech1315164
Rijke, W. J., Bollen, L., Eysink, T. H. S., & Tolboom, J. L. J. (2018). Computational thinking in primary school: An examination of abstraction and decomposition in different age groups. Informatics in Education, 17(1), 77–92. https://doi.org/10.15388/infedu.2018.05
Rini, C. P., Dwi Hartantri, S., & Amaliyah, A. (2021). Analisis Kemampuan Literasi Sains Pada Aspek Kompetensi Mahasiswa PGSD FKIP Universitas Muhammadiyah Tangerang. Jurnal Pendidikan Dasar Nusantara, 6(2), 166 179. https://doi.org/10.29407/jpdn.v6i2.15320
Román-González, M., Moreno-León, J., & Robles, G. (2019). Combining Assessment Tools for a Comprehensive Evaluation of Computational Thinking Interventions. In Computational Thinking Education, 79–98, Springer Singapore. https://doi.org/10.1007/978-981-13-6528-7_6
Rosadi, M. E., Wagino, W., Alamsyah, N., Rasyidan, M., & Kurniawan, M. Y. (2020). Sosialisasi Computational Thinking untuk Guru-Guru di SDN Teluk dalam 3 Banjarmasin. Jurnal SOLMA, 9(1), 45–54. https://doi.org/10.29405/solma.v9i1.3352
Septikasari, R., & Frasandy, R. N. (2018). Keterampilan 4C abad 21 dalam pembelajaran pendidikan dasar. Tarbiyah Al-Awlad: Jurnal Kependidikan Islam Tingkat Dasar, 8(2), 107-117.
Shute, V. J., Sun, C., & Asbell-Clarke, J. (2017). Demystifying computational thinking. In Educational Research Review, Vol. 22, 142–158, Elsevier Ltd. https://doi.org/10.1016/j.edurev.2017.09.003
Sinaga, J. A. G. (2022). Analisis Kemampuan Berpikir Komputasi (Computational Thinking) Siswa SMA dalam Pemecahan Masalah (Doctoral dissertation, UNIMED). https://digilib.unimed.ac.id/id/eprint/49541
Sugiyono. (2010). Metode Penelitian Pendidikan (Pendekatan Kuantitatif, Kualitatif, dan R&D). Bandung: Alfabeta
Sulastri, S., Fitria, H., & Martha, A. (2020). Kompetensi profesional guru dalam meningkatkan mutu pendidikan. Journal of Education Research, 1(3), 258-264. https://doi.org/10.37985/jer.v1i3.30
Sundahry, S., Fitria, Y., & Rakimahwati, R. (2018). The Effect Reciprocal Teaching Strategy of Critical Thinking Skills in Learning Tematic Class V. In I. Ifdil, & Z. Ardi (Eds.), Education, Social Sciences and Technology Application in Digital Era (pp. 816 - 822). Padang: Fakultas Ilmu Pendidikan UNP. https://doi.org/10.29210/20181118
Supiarmo, M. G., Mardhiyatirrahmah, L., & Turmudi, T. (2021). Pemberian Scaffolding untuk Memperbaiki Proses Berpikir Komputasional Siswa dalam Memecahkan Masalah Matematika. Jurnal Cendekia: Jurnal Pendidikan Matematika, 5(1), 368–382. https://doi.org/10.31004/cendekia.v5i1.516
Tsarava, K., Moeller, K., Román-González, M., Golle, J., Leifheit, L., Butz, M. V., & Ninaus, M. (2022). A cognitive definition of computational thinking in primary education. Computers and Education, 179(November 2020). https://doi.org/10.1016/j.compedu.2021.104425
Wing, J. (2011). Research notebook: Computational thinking—What and why. The link magazine, 6, 20-23.
Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35. https://doi.org/10.1145/1118178.1118215
Wiranata, R. A., & Sujana, I. W. (2021). Pengembangan Lembar Kerja Peserta Didik Berbasis Pemecahan Masalah Kontekstual Materi Masalah Sosial Kelas IV SD. Jurnal Pedagogi Dan Pembelajaran, 4(1), 30–38. https://doi.org/10.23887/jp2.v4i1.31926
Xu, W., Geng, F., & Wang, L. (2022). Relations of computational thinking to reasoning ability and creative thinking in young children: Mediating role of arithmetic fluency. Thinking Skills and Creativity, 44. https://doi.org/10.1016/j.tsc.2022.101041
Yulianto, D., Azhari, A., & Rahani, F. F. (2021). Pelatihan Cara Berpikir Komputasi dan Lomba Tantangan Bebras untuk Guru dan Siswa SMP Muhammadiyah di Wilayah Bantul. Seminar Nasional Hasil Pengabdian Kepada Masyarakat Universitas Ahmad Dahlan, 849–855.
Yuntawati, Y., Sanapiah, S., & Aziz, L. A. (2021). Analisis kemampuan computational thinking mahasiswa dalam menyelesaikan masalah matematika. Media Pendidikan Matematika, 9(1), 34–42. https://e-journal.undikma.ac.id/index.php/jmpm
Zafrullah, Z., Gunawan, R. N., Ramadana, N., Mutiara, E., & Nur, M. I. (2024). Instrumen Literasi Numerasi Berbasis Kemampuan Berpikir Komputasi pada Matematika SMP: Pembuktian Validitas Isi dengan Aiken’s. Indo-MathEdu Intellectuals Journal, 5(5), 6177-6189.
Zhang, S., & Wong, G. K. W. (2023). Exploring the underlying cognitive process of computational thinking in primary education. Thinking Skills and Creativity, 48. https://doi.org/10.1016/j.tsc.2023.101314
Zen, B. P., Fitriana, G. F., & Gustalika, M. A. (2021). Peran Kompetensi melalui berfikir komputasi dalam membangun karir di dunia IT menuju Era Society 5.0. Dedikasi Sains dan Teknologi, 1(2), 94–98. https://doi.org/10.47709/dst.v1i2.1122