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Nilawati Tadjudin
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PEMBELAJARAN BERBASIS ARTIFICIAL INTELLIGENCE DALAM PENDIDIKAN DIGITAL: PELUANG, TANTANGAN, DAN IMPLIKASINYA TERHADAP MASA DEPAN PENDIDIKAN Mohamad Tohadi Irfan; Muhammad Davit Priatama; Maruli Simbolon; Nilawati Tadjudin; Andi Warisno
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 02 (2026): Volume 11 No. 02 Juni 2026 Press
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i02.51539

Abstract

The rapid development of Artificial Intelligence (AI) has significantly transformed digital education by introducing innovations that support more effective, adaptive, and personalized learning processes. This article aims to analyze the opportunities, challenges, and implications of AI implementation for the future of education through a Systematic Literature Review (SLR) approach. The research data were collected from scientific articles, academic books, reports from international organizations, and other relevant publications discussing AI in digital education. The review process involved identification, selection, evaluation, and synthesis of the literature to provide a comprehensive understanding of current research developments. The findings reveal that AI offers numerous opportunities, including supporting adaptive learning, improving assessment efficiency, expanding access to education, strengthening data-driven decision-making, and assisting educators in designing more personalized learning experiences. However, the implementation of AI also faces several challenges, such as limited AI literacy, technological access disparities, ethical and academic integrity concerns, and issues related to data security and privacy. Furthermore, AI encourages a paradigm shift in education by redefining teachers’ roles as facilitators and mentors within digital learning ecosystems. Therefore, enhancing digital competencies, developing adaptive policies, and establishing appropriate regulations are essential to ensure that AI contributes to high-quality, inclusive, and sustainable education in the future.
INOVASI DAN MASA DEPAN PENDIDIKAN DIGITAL Halimatus Sadiyah; Siti Roudhoh; Mardiah; Nilawati Tadjudin; Andi Warisno
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 02 (2026): Volume 11 No. 02 Juni 2026 Press
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i02.51561

Abstract

The rapid development of Generative Artificial Intelligence (AI) has significantly transformed digital education by creating both opportunities and challenges for the learning process. This study aims to examine the opportunities, risks, and implications of Generative AI for the future of education through a Systematic Literature Review (SLR) approach. The data were collected from scholarly articles, academic books, reports from international organizations, and reputable publications published between 2019 and 2025. Data analysis was conducted using content analysis to identify major themes related to the implementation of Generative AI in digital education. The findings reveal that Generative AI offers numerous benefits, including supporting personalized learning, improving access to educational resources, enhancing student engagement, assisting educators’ professional tasks, and fostering the development of twenty-first-century skills. However, the technology also presents several challenges, such as plagiarism, academic integrity violations, technological dependency, misinformation, and issues related to ethics and data privacy. The study highlights that the successful implementation of Generative AI requires stronger digital literacy, adaptive educational policies, and effective collaboration between human intelligence and artificial intelligence. When properly managed, Generative AI has the potential to become a catalyst for a more innovative, inclusive, and sustainable educational transformation in the future.
Co-Authors Andi Warisno Halimatus Sadiyah Mardiah Maruli Simbolon Mohamad Tohadi Irfan Muhammad Davit Priatama Siti Roudhoh