DEEP LEARNING: TRANSFORMASI PARADIGMA MENUJU PEMBELAJARAN BERMAKNA DAN KARAKTER UNGGUL

Authors

  • Indra Mukti Abam Universitas Islam Negeri Raden Fatah Palembang
  • Asmiranda Universitas Islam Negeri Raden Fatah Palembang
  • Indah Wigati Universitas Islam Negeri Raden Fatah Palembang
  • Yuniar Universitas Islam Negeri Raden Fatah Palembang

DOI:

https://doi.org/10.23969/jp.v11i02.50728

Keywords:

Deep Learning, Meaningful Learning, Superior Character

Abstract

This study aims to describe the deep learning policy as a new approach in transforming the educational paradigm. The method used is a literature review that explores the definition, objectives, framework, and practical implementation of deep learning in the context of education. The results of the discussion indicate that in the world of education, deep learning is an approach that emphasizes genuine conceptual understanding, rather than mere memorization, in order to develop students' critical and creative thinking skills. The main focus of this approach encompasses three aspects: mindful learning, meaningful learning, and joyful learning. The implementation of this policy requires synergy between active pedagogical practices, inclusive learning environments, utilization of digital technology, and strong partnerships among schools, parents, and the community. The conclusion of this paper affirms that deep learning serves as an important foundation for shaping a generation with strong character, such as honesty and empathy, as well as competencies that are relevant in facing future global challenges.

Downloads

Download data is not yet available.

References

Bloom, D. E., Canning, D., & Sevilla, J. (2003). The demographic dividend: A new perspective on the economic consequences of population change. Santa Monica: RAND Corporation.

Fatmawati, I. (2025). Transformasi Pembelajaran Sejarah dengan Deep Learning Berbasis Digital untuk Gen Z. Jurnal REVORMA, 5(1), 25–39.

Fullan, M., & Langworthy, M. (2014). A rich seam: How new pedagogies find deep learning. London: Pearson.

Hartono, M. B., Darmawan, A. K., & Hoiriyah, H. (2023). Komparasi Deep Learning Dan Traditional Machine Learning Untuk Email Spam Filtering. Jurnal Minfo Polgan, 12(1), 636–643. https://doi.org/10.33395/jmp.v12i1.12474

Kementerian Pendidikan Dasar dan Menengah. (2023). Kerangka Pembelajaran Mendalam dan Profil Lulusan. Jakarta: Kemendikdasmen.

Wijaya, A. A., Haryati, T., & Wuryandini, E. (n.d.-b). Implementasi Pendekatan Deep Learning dalam Peningkatan Kualitas Pembelajaran di SDN 1 Wulung, Randublatung, Blora.

Nova, N., Mulyanti, A., Silmy, C., Putri, A., & Mulyani, L. (2025). Systematic Review : Pemanfaatan Deep Learning untuk Diagnosis Penyakit Menggunakan MRI. Jurnal Penelitian Inovatif, 5(2), 839–852.

Nur, H., & Pujiati, P. (2025). Penerapan Pendekatan Deep Learning Pada Pembelajaran Di Sekolah Dasar Kota Bekasi. El Banar: Jurnal Pendidikan Dan Pengajaran, 08(1), 72–79.

Raup, A., Ridwan, W., Khoeriyah, Y., Supiana, S., & Zaqiah, Q. Y. (2022). Deep Learning dan Penerapannya dalam Pembelajaran. JIIP - Jurnal Ilmiah Ilmu Pendidikan, 5(9), 3258–3267. https://doi.org/10.54371/jiip.v5i9.805

Sari, A. W., Arta, D. J., Studi, P., Bahasa, P., Keguruan, F., Pendidikan, I., Muhammadiyah, U., & Utara, S. (2025). Implementasi Deep Learning : Suatu Inovasi Pendidikan. WASPADA (Jurnal Wawasan Pengembangan Pendidikan), 13(01), 121–126.

Putri, R. (2024). Inovasi Pendidikan dengan Menggunakan Model Deep Learning di Indonesia. 2(2), 69–77

Wijaya, M. (2025). Kurikulum Deep Learning di Indonesia ; Sebuah Harapan Baru. Jurnal JIPS (Jurnal Ilmiah Pendidikan Scholastic), 1(1), 10–15.

Downloads

Published

2026-06-14