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Uslan
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Journal : journal of deep learning

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Challenges, Prospects, and Strategic Integration of Deep Learning for Enhancing Digital Literacy in Primary Education Wicaksana, Anfa Muarif; Prayitno, Harun Joko; Uslan, Uslan; Malonisio, Manuel
Journal of Deep Learning Vol. 2, No. 1, June 2026
Publisher : Universitas Muhammadiyah Surakarta in Collaboration with Kemdikdasmen RI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jdl.v2i1.11856

Abstract

The advancement of artificial intelligence technologies, particularly deep learning, offers new opportunities for transforming education, including efforts to enhance digital literacy at the elementary school level (SD/MI). However, the implementation of this technology is accompanied by various complex challenges, encompassing technical, pedagogical, and policy-related aspects. This study aims to comprehensively examine the challenges, prospects, and the need for strategic integration in the application of deep learning to improve students’ digital literacy in primary education. The study employs a library research method with a descriptive qualitative approach, analyzing relevant scientific literature published within the last five years (2020–2025). The data were analyzed using content analysis techniques to identify patterns related to the implementation of deep learning in elementary education. The findings reveal that the main challenges include limited technological infrastructure, low levels of teacher competence, misalignment of pedagogical approaches, as well as ethical and data security concerns. On the other hand, deep learning demonstrates significant potential in supporting personalized, adaptive, and data-driven learning, as well as in enhancing student engagement and the quality of digital literacy. Furthermore, the successful implementation of this technology depends on strategic integration among technological, pedagogical, human resource, and policy dimensions. This study provides a conceptual contribution to understanding the dynamics of deep learning implementation in primary education and offers practical implications for developing contextual and sustainable technology-based learning innovations. Future research is recommended to conduct empirical studies to evaluate the effectiveness of deep learning implementation in real classroom settings.
Co-Authors Abdul Syahril Muh Abuk, Maria Getrudis Ahmad ahmad yani Ahmad, Rizqy Amelia Ramadhaniyah Aiman, Ummu Ambu, Valentina Inya Aryani, Nova Dwi Azizah, Wiwil Berek, Natalia Retha Salsa Binti Abdullah, Norazilawati Boineno, Arni Buchari, Abu Saman Endang Triwahyuni Fauzana, Nana Gigin Ginanjar Handayani, Sri Harun Joko Prayitno Haryanti, Yulia Hasyda, Suryadin Helmia Tasti Adri Helzi, Helzi Hoar, Febriana Holbala, Dervino I. P. Honest Ummi Kaltsum Huki, Riski Dan. A. Rame Huky, Weldiana Rame Ihwan Ihwan Ihwan Imam Mujahid Irma Inesia Sri Utami Julhidayat Muhsam Lamahala, Muhaimin H Lamen , Sumarni Leki, Martha Bano LETASADO, MUHAMAD RUSADI Linome, Bilam S. M. Saleh, Mega MADE PHARMAWATI Mahmud, Nur Robiah Adawiyah Malonisio, Manuel Meilani, Dian Minsih Missa, Irfan Muhammad, Nur'aini Nahak, Maria Devawanti Fontes Nasir, Gamar Abdul Ndolu, Ery Frederika Nitano, Adelina NURIYAH Nurlailah Raisia, Alifah Ramadiansyah Rusnilawati Saruang, Gratia Fitriani Selan, Debora Siti Marpuah, Siti Sose, Maria Fenisiana Suhada, Farhan Sya, Mega Febriani Tadzkiroh, Ummi Tamonob, Trivena R.M. Tanalinal Khasna, Fenny Tanau, Vebi Elisabet Taneo, Noniansi T Taruddin, Taruddin Tausbele, Martensi B Wicaksana, Anfa Muarif Yenni . Zahra Khusnul Lathifah