The Influence of the Coding and Artificial Intelligence Program on Fifth Graders’ Computational Thinking Skills
DOI:
https://doi.org/10.17977/um009v35i12026p195-212Keywords:
coding, computational thinking, artificial intelligence, kecerdasan buatan, berpikir komputasi, elementary school, sekolah dasarAbstract
Abstract: The massive use of technology, which has become a dominant and transformational force, requires students to develop computational thinking (CT) skills from elementary school. However, observations in class 5C SDN Keboansikep 2 showed that students’ CT skills were low despite students’ familiarity with technology. This study aims to examine the effect of the Coding and Artificial Intelligence (CAI) program on students’ CT skills in class 5C SDN Keboansikep 2. The research used a quantitative approach with a pre-experimental one-group pretest-posttest design. Data were collected through a 20-item multiple-choice test based on CT indicators. Data were analyzed using descriptive and inferential statistics. Descriptive results showed an average pretest of 64.26 and posttest of 82.22, with an increase of 17.96 points. The paired sample t-test showed Sig. (2-tailed) < 0.001, showing that the CAI program had a significant influence on CT skills. The N-Gain average of 0.5693, meaning that the CAI program was moderately effective in improving CT skills. The results show that the CAI program has a significant influence and quite an effective impact on improving the CT skills. Theoretically, the CAI program aligns with Vygotsky’s social constructivism theory, and practically encourages schools and policymakers to strengthen the CAI program in preparing a generation capable of creating technology-based solutions through CT.
Abstrak: Penggunaan teknologi yang masif, yang telah menjadi kekuatan dominan dan transformatif, menuntut siswa untuk mengembangkan keterampilan berpikir komputasional (CT) sejak sekolah dasar. Namun, pengamatan di kelas VC Sekolah Dasar Negeri Keboansikep 2 menunjukkan bahwa keterampilan CT siswa masih rendah, meskipun siswa sudah terbiasa dengan teknologi. Penelitian ini bertujuan untuk mengkaji pengaruh program Coding and Artificial Intelligence (CAI) terhadap keterampilan CT 27 siswa di kelas VC Sekolah Dasar Negeri Keboansikep 2. Penelitian ini menggunakan pendekatan kuantitatif dengan desain one-group pretest-posttest. Data dikumpulkan melalui tes pilihan ganda yang terdiri dari 20 soal berdasarkan indikator CT. Data dianalisis menggunakan statistik deskriptif dan inferensial. Hasil deskriptif menunjukkan nilai rata-rata pretest sebesar 64,26 dan posttest sebesar 82,22, dengan peningkatan sebesar 17,96 poin. Uji paired-t menghasilkan nilai Sig. (dua sisi) < 0,001, yang menunjukkan adanya pengaruh yang signifikan. Rata-rata N-Gain sebesar 0,5693, menunjukkan efektivitas sedang. Hasil menunjukkan bahwa program CAI memiliki pengaruh yang signifikan dan dampak yang cukup efektif dalam meningkatkan keterampilan CT. Secara teoritis, program CAI sejalan dengan teori konstruktivisme sosial Vygotsky, dan secara praktis mendorong sekolah serta pembuat kebijakan untuk memperkuat program CAI dalam mempersiapkan generasi yang mampu menciptakan solusi berbasis teknologi melalui CT.
References
Abidin, Z., Herman, T., & Wahyudin, W. (2023). The Computational Thinking in Elementary School in the Indonesia New Curriculum: A Teacher’s Perspective. Sekolah Dasar: Kajian Teori Dan Praktik Pendidikan, 32(2), 178–185. https://doi.org/10.17977/um009v32i22023p178-185
Adzkia, M. S., & Refdinal, R. (2024). Teacher readiness in terms of technological skills in facing artificial intelligence in the 21st century education era. JPPI: Jurnal Penelitian Pendidikan Indonesia, 10(4), 1048-1057. https://doi.org/10.29210/020244152
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, Article 112535. https://doi.org/10.1016/j.jss.2025.112535
Aminah, N., Sukestiyarno, Y. L., Cahyono, A. N., & Maat, S. (2023). Student Activities in Solving Mathematics Problems With a Computational Thinking Using Scratch. IJERE: International Journal of Evaluation and Research in Education, 12(2), 613–621. https://doi.org/10.11591/ijere.v12i2.23308
Arikunto, S. (2021). Prosedur Penelitian: Suatu Pendekatan Praktik. Jakarta: Rineka Cipta.
APJII. (2025). Survei Internet APJII 2025: Tingkat Penetrasi Internet di Indonesia. https://survei.apjii.or.id/
Acevedo-Borrega, J., Valverde-Berrocoso, J., & Garrido-Arroyo, M. C. (2022). Computational Thinking and Educational Technology: A Scoping Review of the Literature. Education Sciences, 12(1), 1-16. https://doi.org/10.3390/educsci12010039
Badan Standar, Kurikulum, dan Asesmen Pendidikan, Kementerian Pendidikan Dasar dan Menengah Republik Indonesia. (2025). Naskah Akademik Pembelajaran Koding dan Kecerdasan Artifisial pada Pendidikan Dasar dan Menengah. Pusat Kurikulum dan Pembelajaran & Pusat Standar dan Kebijakan Pendidikan Kemendikdasmen. https://kurikulum.kemdikbud.go.id/file/1741766787_manage_file.pdf
Bali, M. M. E. I., Kumalasani, M. P., & Yunilasari, D. (2022). Artificial Intelligence in Higher Education: Perspicacity Relation between Educators and Students. JIECR: Journal of Innovation in Educational and Cultural Research, 3(2), 146–152. https://doi.org/10.46843/jiecr.v3i2.88
Bazán-Perkins, B., Santibañez-Salgado, J.A. Relationship between the learning gains and learning style preferences among students from the school of medicine and health sciences. BMC Med Educ 25, 71 (2025). https://doi.org/10.1186/s12909-024-06554-0
Budiyanto, C. W., Shahbodin, F., Umam, M. U. K., Isnaini, R., Rahmawati, A., Widiastuti, I. (2021). Developing Computational Thinking Ability in Early Childhood Education: The Influence of Programming Toy on Parent-Children Engagement. IJPTE: International Journal of Pedagogy and Teacher Education, 5(1), 19-25. https://dx.doi.org/10.20961/ijpte.v5i1.44397
Christman, E., Miller, P., & Stewart, J. (2024). Beyond normalized gain: Improved comparison of physics educational outcomes. APS: Physical Review Physics Education Research, 20(1), 1-17. https://doi.org/10.1103/PhysRevPhysEducRes.20.010123
Cırıt, D. K., & Aydemir, S. (2023). Online Scratch Activities during the COVID-19 Pandemic: Computational and Creative Thinking. IJERE: International Journal of Evaluation and Research in Education, 12(4), 2111–2120. https://doi.org/10.11591/ijere.v12i4.24938
Coletta, V. P. (2023). Evidence for a normal distribution of normalized gains. APS: Physical Review Physics Education Research, 19(1), 1-5. https://doi.org/10.1103/PhysRevPhysEducRes.19.010111
Curi, M, E., Gerosa, A., Viera, M., Carboni, A. (2025). A review of computational thinking interventions in upper elementary education. Computers and Education Open. https://doi.org/10.1016/j.caeo.2025.100252
Daulay, L. A., Nasution, A. K. P., Asnawi, A., Zahari, C. L., & Wardani, H. (2025). Bibliometric study on research trends in artificial intelligence and mathematics education. Alifmatika: Jurnal Pendidikan dan Pembelajaran Matematika, 7(1), 124–147. https://doi.org/10.35316/alifmatika.2025.v7i1.124-147
Elmawati, E., Dahlan, J. A., Marthadiputra, B. A. P., & Muhammad, I. (2024). Student's Computational Thinking Ability in Solving Sequences and Series: The Difference between Male and Female. Mosharafa: Jurnal Pendidikan Matematika, 13(1), 199–214. https://doi.org/10.31980/mosharafa.v13i1.1987
Fitri, T. E., Almairus, A. N., Estuhono, E., Filahanasari, E., Ahmad, S., Sukma, E., Bentri, A., & Anggraeni, A. (2025). Improving Students' Computational Thinking Skills Based on Minangkabau Literature. Mosharafa: Jurnal Pendidikan Matematika, 14(1), 119–130. https://doi.org/10.31980/mosharafa.v14i1.2760
Ghifari, M.T., et al. (2024). Challenges in Developing Junior High School Students' Computational Thinking Skills in Mathematics Through Problem-Based Learning. Kalamatika: Jurnal Pendidikan Matematika, 9(2), 135–146. https://doi.org/10.22236/KALAMATIKA.vol9no2.2024pp135-146
Guan, Y., Zhang, C., He, H., Zhang, W., Hu, Z., Bi, T., Jin, X. (2025). AI literacy predicts computational thinking through multidimensional interactions among Chinese high school students. Scientific Reports, 33092 (2025). https://doi.org/10.1038/s41598-025-16712-z
Hake, R. R. (1998). Interactive-engagement versus traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses. American Journal of Physics, 66(1), 64–74. https://doi.org/10.1119/1.18809
Handayani, M., Wahono, B., & Anam, R. S. (2025). Advancements in computational thinking research in science education: a bibliometric analysis of reputable international journals (2014-2024). Jurnal Penelitian Pendidikan Indonesia, 11(3), 225-237. https://doi.org/10.29210/020254495
Hasan, M. F., Patty, A., Sani, A., & Taufiq, F. (2023). Chat GPT as A Learning Assistant for Islamic Education: A Study in Madrasah Ibtidaiyah. Nadwa: Jurnal Pendidikan Islam, 17(2), 203–230. https://doi.org/10.21580/nw.2023.17.2.26167
Helsa, Y., Juandi, D., & Turmudi, T. (2023). Computational thinking skills indicators in number patterns. Jurnal Pendidikan Matematika, 17(2), 167–188. https://doi.org/10.22342/jpm.17.2.20042.167-188
Hsu, TC., Hsu, TP. (2025). Teaching AI with games: the impact of generative AI drawing on computational thinking skills. Education and Information Technologies, 30, 21499–21518. https://doi.org/10.1007/s10639-025-13624-3
Ibrohim, M. M., Siregar, E., & Chaeruman, U. A. (2023). Scratch and Computational Thinking in Elementary School: A Meta-analysis. Al-Ishlah: Jurnal Pendidikan, 15(3), 2703–2715. https://doi.org/10.35445/alishlah.v15i3.2326
Irawan, E., Huda, M. K., & Purwasih, R. (2025). A learning trajectory for developing computational thinking in prospective mathematics teachers through Python programming in Google Colab. Alifmatika: Jurnal Pendidikan dan Pembelajaran Matematika, 7(1), 34-52. https://doi.org/10.35316/alifmatika.2025.v7i1.34-52
Jiang, B., & Li, Z. (2021). Effect of Scratch on computational thinking skills of Chinese primary school students. Journal of Computers in Education, 8(4), 505–525. https://doi.org/10.1007/s40692-021-00190-z
Jung, Y., Tscholl, M., & Xie, Y. (2025). Enhancing computational thinking in upper elementary: A two-phase study examining the effect of unplugged activities. International Journal of Child-Computer Interaction, 45, 100765.https://doi.org/10.1016/j.ijcci.2025.100765
Kominfo. (2023). 98 Persen Anak dan Remaja Tahu Internet. Kominfo.go.id. https://www.kominfo.go.id/index.php/content/detail/3836/98-persen-anak-dan-remaja-tahu-internet/0/berita_satker
Korte, S.-M., Körkkö, M., & Føreland, L. R. (2025). Developing computational thinking skills in higher education through peer reflection on robotics and programming exercises with Bee-Bots, Lego Mindstorms EV3 and Minecraft Education. Learning, Culture and Social Interaction, 55. https://doi.org/10.1016/j.lcsi.2025.100947
Larasati, I., & Astuti, T. (2025). Effectiveness of PBL Model Assisted by 3D Animation Media on Motivation and Learning Outcomes of Science In Elementary School. Sekolah Dasar: Kajian Teori dan Praktik Pendidikan, 34(1), 24–35. https://doi.org/10.17977/um009v34i12025p24-35
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(51). https://doi.org/10.1186/s40594-024-00510-6
Liu, J., Zhang, Y., Li, W., Wang, Q., Niu, P., & Zhang, X. (2025). Adaptive vs. planned metacognitive scaffolding for computational thinking: Evidence from generative AI-supported programming in elementary education. Computers & Education, 241. https://doi.org/10.1016/j.compedu.2025.105473
Majid, M., Oroh, F. A., Zakaria, P., Maharani, S., & Moha, A. (2025). Publication Trends of Computational Thinking in Elementary School Students: A Bibliometric Review. Al-Ishlah: Jurnal Pendidikan, 17(1), 39–48. https://doi.org/10.35445/alishlah.v17i1.3161
Murtiningsih, S., Sujito, A., & Soe, K. K. (2024). Challenges of using ChatGPT in education: A digital pedagogy analysis. IJERE: International Journal of Evaluation and Research in Education, 13(5), 3466–3473. https://doi.org/10.11591/ijere.v13i5.29467
Muvid, M. B., Arnandy, D. A., Arrosyidi, A., & Sulistiowati, S. (2025). ChatGPT in Education: A New Paradigm for Enhancing Student Learning and Engagement. Al Ishlah: Jurnal Pendidikan, 17(1), 673–682. https://doi.org/10.35445/alishlah.v17i1.5874
Normansyah, A. D., Sjam, D. A., & Khoerudin, C. M. (2025). Integration of artificial intelligence (AI) technology in teaching and learning to build resilient character. JKP: Jurnal Konseling dan Pendidikan, 13(3), 245–257. https://doi.org/10.29210/1174000
Noviyanti, N., Yuniarti, Y., & Lestari, T. (2023). Pengaruh Pembelajaran Berdiferensiasi Terhadap Kemampuan Computational Thinking Siswa Sekolah Dasar. Prima Magistra: Jurnal Ilmiah Kependidikan, 4(3), 283-293. https://doi.org/10.37478/jpm.v4i3.2806
Nurwita, F., Kusumah, Y. S., & Juandi, D. (2025). Design and Evaluation of a mobile application for achieving computational thinking skills through geometric transformation learning in middle school. Infinity Journal, 14(4), 877-898. https://doi.org/10.22460/infinity.v14i4.p877-898
OECD. (2023). PISA 2022 Results (Volume I): The State of Learning and Equity in Education. OECD Publishing, Paris. https://doi.org/10.1787/53f23881-en
Omeh, C. B., Ayanwale, M. A., Mnguni, L. E., & Olelewe, C. J. (2025). Fostering programming skill and critical thinking through AI-assisted PBL integration. Journal of New Approaches in Educational Research, 14(22), 1-25. https://doi.org/10.1007/s44322-025-00041-0
Otoluwa, M. H., Salim, A., Kadir, K., Saud, I. W., Darise, G. N., & Asma, A. (2025). Students’ perceptions and effect of ChatGPT on research proposal quality across gender in Indonesia. IAES: International Journal of Artificial Intelligence (IJ-AI), 14(5), 3613–3623. https://doi.org/10.11591/ijai.v14.i5.pp3613-3623
Possaghi, I., & Papavlasopoulou, S. (2026). Technologically-rich computational activities in K–12 education: A systematic review of constructivist and constructionist interventions. Behaviour & Information Technology, 45(2), 197–236.https://doi.org/10.1080/0144929X.2025.2513569
Purbohadi, D., & Santoso, J. (2025). Child-friendly e-learning for artificial intelligence education in Indonesia: conceptual design. IAES: International Journal of Artificial Intelligence, 14(4), 2622–2633. https://doi.org/10.11591/ijai.v14.i4.pp2622-2633
Rahmadhani, F., Mulyono, B., & Hapizah, H. (2024). The Effectiveness of Differentiating Mathematics Learning in Arithmetic Sequence to Support Computational Thinking Ability. Journal La Edusci, 5(5), 323-337. https://doi.org/10.37899/journallaedusci.v5i5.1782
Ruangtip, P., Ruckbumrung, T., & Rueboon, W. (2025). Enhancing computational thinking in elementary students through STEM and Mojobot. IJERE: International Journal of Evaluation and Research in Education, 14(5), 3917–3927. https://doi.org/10.11591/ijere.v14i5.33091
Sadik, M. A., Budiyanto, C. W., & Yuana, R. A. (2024). The Influence of Educational Robotics in STEM Integrated Learning and the Development of Computational Thinking Abilities. JANAPATI: Jurnal Nasional Pendidikan Teknik Informatika, 13(3), 760–768. https://doi.org/10.23887/janapati.v13i3.81608
Santaengracia, J.J., Palop, B. & Rodríguez-Muñiz, L.J. (2026). Computational thinking in K-6 education: a scoping review of instructional practices. Journal of Computers in Education, 1-34. https://doi.org/10.1007/s40692-025-00380-z
Saragih, M. V. A., Nurjanah, N., & Yulianti, K. (2025). The Improve High School Student’s Computational Thinking Ability and Mathematical Resilience With Project Based Learning Assisted by GeoGebra. Edumatica: Jurnal Pendidikan Matematika, 15(1), 87–101. https://doi.org/10.22437/edumatica.v15i1.42801
Şen, Ş. (2023). Relations between preservice teachers’ self-efficacy, computational thinking skills and metacognitive self-regulation. European Journal of Psychology of Education, 38, 1251-1269. https://doi.org/10.1007/s10212-022-00651-8
Sugiyono. (2023). Metode Penelitian Pendidikan: Pendekatan Kuantitatif, Kualitatif, Kombinasi, R&D dan Penelitian Tindakan (Edisi ke-3, Cetakan ke-3). Bandung: Alfabeta.
Surur, M., Nadeak, B., Rianita. N. M., Ratnadi, N. N. A., Suparjan, S., Nasution, B., Primo, A. (2024). Use of Artificial Intelligence in Learning: Analysis of Effectiveness and Potential in Improving the Quality of Learning. JIP: Jurnal Ilmu Pendidikan, 30(2), 160–167. https://doi.org/10.17977/um048v30i2p160-167
Tariq, R., Babines, B. M. A., Ramirez, J., Alvarez-Icaza, I., & Naseer, F. (2024). Computational thinking in STEM education: Current state-of-the-art and future research directions. Frontiers in Computer Science, 6. https://doi.org/10.3389/fcomp.2024.1480404
Vygotsky, L. S. (1978). Mind in Society: The Development of Higher Psychological Processes (M. Cole, V. John-Steiner, S. Scribner & E. Souberman, Eds.). Cambridge: Harvard University Press.
Weng, X., Ye, H., Dai, Y., & Ng, O.-L. (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, 62(6), 1640–1670. https://doi.org/10.1177/07356331241248686
Wing, J. M. (2017). Computational thinking’s influence on research and education for all. Italian Journal of Educational Technology, 25(2), 7–14. https://doi.org/10.17471/2499-4324/922
Wu, T.-T., Elsa, E., & Huang, Y.-M. (2026). Integrating computational thinking into problem-based learning in EAP writing: Effects on motivation and writing performance. Journal of English for Academic Purposes, 80. https://doi.org/10.1016/j.jeap.2026.101641
Yunianto, W., Lavicza, Z., Kastner-Hauler, O., & Houghton, T. (2024). Investigating the use of ChatGPT to solve a GeoGebra based mathematics+computational thinking task in a geometry topic. Journal on Mathematics Education, 15(3), 1027–1052. https://doi.org/10.22342/jme.v15i3.pp1027-1052
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