PARADIGMA FILSAFAT ILMU DALAM TRANSFORMASI PEMBELAJARAN MENDALAM DAN KODING: STUDI KASUS DI SEKOLAH DASAR PENERIMA BOS KINERJA

Authors

  • Ai Patimah Sahra Universitas Pendidikan Indonesia
  • Asep Saiful Alfazr Universitas Pendidikan Indonesia
  • Jenuri Universitas Pendidikan Indonesia

DOI:

https://doi.org/10.23969/jp.v10i04.35382

Abstract

Educational transformation in the digital age requires fundamental changes in how teachers understand the nature of science and the learning process. In this context, the philosophy of science paradigm becomes an important foundation that determines the direction of pedagogical innovation, including the application of deep learning and coding in elementary schools. This study aims to analyze how the philosophy of science paradigm plays a role in directing the transformation of deep learning and coding in elementary schools receiving BOS Kinerja (School Performance-Based Funding). The focus of the study is directed at teachers' perspectives on knowledge, technology, and reflective practices in building a 21st-century learning ecosystem. The method used is a qualitative approach with a case study design, conducted in high-ranking elementary schools based on the results of the National Education Report Card. Data were collected through in-depth interviews, participatory observation, and document analysis, then analyzed thematically using the stages of reduction, categorization, and interpretation of meaning. The results of the study show that teachers who have a constructivist and humanistic paradigm are able to transform learning into a more meaningful, reflective, and collaborative process. Deep learning encourages the development of higher-order thinking and social empathy, while the application of coding plays a role in fostering computational thinking and creativity in students. The support of the BOS Kinerja policy strengthens innovation through the provision of resources and performance-based management. The conclusion of this study confirms that a paradigm shift in the philosophy of science among teachers is the key to the success of learning transformation in elementary schools. Philosophical awareness of the nature of science, values, and technology is the main foundation for sustainable and meaningful education.

Keywords: Keywords: philosophy of science, deep learning, coding, elementary school, BOS Performance

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References

Al Ghifari, B. dkk. (2025). Filsafat Ilmu dan Implikasinya terhadap Pendidikan Islam di Era Digital. Jurnal Filsafat, Pendidikan, dan Dakwah, 16(1), 1–12.

Biggs, J., & Tang, C. (2011). Teaching for Quality Learning at University (4th ed.). Maidenhead: McGraw-Hill/Open University Press.

Bogdan, R. C., & Biklen, S. K. (2007). Qualitative Research for Education: An Introduction to Theories and Methods (5th ed.). Boston, MA: Pearson.

Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27-40. https://doi.org/10.3316/QRJ0902027

Brennan, K., & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. In Proceedings of the 2012 ACM annual meeting on Innovation and technology in computer science education (pp. 1-15). ACM.

Chalmers, A. F. (1999). What Is This Thing Called Science? (3rd ed.). Buckingham: Open University Press.

Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4 ed.). Sage.

Creswell, J. W., & Poth, C. N. (2018). Qualitative Inquiry and Research Design: Choosing Among Five Approaches (4 ed.). SAGE.

Curren, R. (2018). “Philosophy of education.” In E. N. Zalta (Ed.), The Stanford Encyclopedia of Philosophy (Winter 2018 ed.). Retrieved from https://plato.stanford.edu/entries/education-philosophy/

Demir, Ü. (2023). The effect of computer-free coding education for special education students on problem-solving skills. International Journal of Computer Science Education in Schools, 4(3). https://doi.org/10.21585/ijcses.v4i3.95

Dewey, J. (1938). Experience and Education. New York, NY: Macmillan.

Entwistle, N., & Ramsden, P. (1983). Understanding Student Learning. London: Croom Helm.

Fullan, M. dkk. (2018). Deep Learning: Engage the World Change the World. Corwin Press.

Gane, B., Elagha, N., Luo, F., Liu, R., Yan, W., Strickland, C., Franklin, K. M., & Israel, M. (2020). Developing computational thinking assessments for elementary students: Connecting cognition, observation, and interpretation. Journal of Educational & Learning Research, 10(2), 23-40.

Geertz, C. (1973). The Interpretation of Cultures. New York, NY: Basic Books.

Handayani, D. dkk. (2025). Peran Filsafat Pendidikan dalam Membangun Pola Pikir Kritis dan Reflektif Guru Sekolah Dasar. Jurnal Pendidikan dan Pembelajaran Dasar, 9(2), 110–123.

Hidayat, A. (2022). Implementasi pembelajaran mendalam untuk meningkatkan berpikir kritis siswa SD di Bandung. Jurnal Pendidikan Dasar, (1), 45-60.

Holden Thorp, H. (2023). Teach philosophy of science. Science, 379(6633), 101-103. https://doi.org/10.1126/science.adp7153

Hirst, P., & White, J. (1998). Knowledge and the Curriculum: A Collection of Philosophical Papers. London: Routledge.

Jonassen, D. H. (1999). Designing Constructivist Learning Environments. In C. M. Reigeluth (Ed.), Instructional-Design Theories and Models (Vol. II, pp. 215-239). Mahwah, NJ: Lawrence Erlbaum Associates.

Kemendikbudristek. (2023). Rapor Pendidikan 2023 Lebih Kaya dan Menarik. https://bbpmpjatim.kemdikbud.go.id/main/rapor-pendidikan-2023-lebih-kaya-menarik/

Kuhn, T. S. (1970). The Structure of Scientific Revolutions. University of Chicago Press.

Kvale, S., & Brinkmann, S. (2009). InterViews: Learning the Craft of Qualitative Research Interviewing (2nd ed.). Thousand Oaks, CA: SAGE.

Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic Inquiry. SAGE.

Miles, M. B. dkk. (2014). Qualitative data analysis: A methods sourcebook (3 ed.). SAGE Publications.

Nafi’ah, J., & Faruq, D. J. (2025). Conceptualizing deep learning approach in primary education: Integrating mindful, meaningful and joyful. Jurnal Pendidikan Dasar dan Pembelajaran, 4, 1–15.

Nurhasanah, A. S. dkk. (2025). Integrasi Filsafat Ilmu dan Nilai-Nilai Agama dalam Pembentukan Karakter Peserta Didik di Era Modern. Jurnal Pendidikan Karakter dan Nilai Islami, 14(3), 283–296.

Ponce, O., Gómez-Galán, J., & Pagan-Maldonado, N. (2018). Philosophy of science and educational research: Strategies for scientific effectiveness and improvement of the education. arXiv preprint. http://arxiv.org/abs/1803.01220

Popper, K. R. (1963). Conjectures and Refutations: The Growth of Scientific Knowledge. Routledge and Kegan Paul.

Pršala, J. (2024). The effect of block-based programming activities on the computational thinking skills of pre-service primary school teachers. Journal of Pedagogical Sociology and Psychology, 6(3), 1-9. https://doi.org/10.33902/jpsp.202426267

Qian, Y., Ha, T., & Zhang, C. (2024). Redefining computational thinking: A holistic framework and its pedagogical implications. Education and Information Technologies. https://doi.org/10.1007/s10639-024-13297-4

Raharjo, S. (2021). Paradigma ilmiah guru sekolah dasar dalam mengembangkan pembelajaran kritis. Jurnal Kepemimpinan Pendidikan, 5(2), 85-102.

Spradley, J. P. (1980). Participant Observation. Holt, Rinehart and Winston.

Suryani, D., & Wahyudi, Y. (2022). Integrasi pembelajaran koding di sekolah dasar: Dampak terhadap keterampilan berpikir logis dan kreativitas siswa. Jurnal Teknologi Pendidikan, (13), 34-48.

Suparlan, R. (2020). Konstruktivisme dan pembelajaran reflektif di sekolah dasar. Jurnal Pendidikan Filosofis, 2(1), 19-33.

Wencheng Liu, Li, X., & Li, G. (2023). The Contributions of philosophy of science in science education research: A literature review. Science & Education. https://doi.org/10.1007/s11191-023-00485-w

Wing, J. (2006). Computational thinking. Communications of the ACM, 49(3), 33–35.

Yin, R. K. (2018). Case Study Research and Applications: Design and Methods (6 ed.). SAGE.

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Published

2025-11-13