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All Journal Nusantara Education Studies
Dedi Faqih Wahana
Universitas Teknologi Digital Indonesia, Yogyakarta

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Artificial Intelligence-Based Personalized Learning in Twenty-First Century Learning Transformation Prinastiti Dwi Santika; Zahra Radhiyya Magfira; Dedi Faqih Wahana
Nusantara Education Studies Vol. 3 No. 2 (2025): December Edition
Publisher : Integra Academic Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63208/21011-601

Abstract

The advancement of Artificial Intelligence (AI) has accelerated the transformation of learning toward a more adaptive and learner-centered approach through the implementation of personalized learning. This article aims to analyze the concepts, implementation, challenges, and strengthening strategies of AI-based personalized learning within the context of general education. The study employed a qualitative descriptive library research method by reviewing scientific publications published over the last five years. The findings indicate that AI supports the analysis of learners' characteristics, develops adaptive learning pathways, provides timely feedback, and facilitates the creation of learning materials tailored to individual needs. This approach has significant potential to improve learning effectiveness, student engagement, and the development of twenty-first-century competencies. Nevertheless, its implementation continues to face challenges related to teachers' readiness, AI literacy, data privacy, algorithmic bias, and ethical considerations. Therefore, the successful implementation of AI-based personalized learning requires synergy among technological innovation, teachers' pedagogical competence, responsible governance, and educational policies that promote adaptive, inclusive, and sustainable learning.
Artificial Intelligence for Strengthening Inclusive Education for Students with Special Needs Wasian Fauzi Nugroho; Yoga Tama; Dedi Faqih Wahana
Nusantara Education Studies Vol. 4 No. 1 (2026): June Edition
Publisher : Integra Academic Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63208/21011-703

Abstract

The development of Artificial Intelligence (AI) provides new opportunities for transforming inclusive education, particularly in supporting learning for students with special needs. This article aims to analyze the roles, benefits, challenges, and implementation strategies of AI in strengthening inclusive education through a Systematic Literature Review (SLR) approach. The review examined scientific publications from the last five years focusing on AI integration in education, assistive technology, adaptive learning, personalized learning, and accessibility for diverse learners. The findings indicate that AI contributes to more personalized learning experiences through adaptive learning systems, learning analytics, AI-based communication technologies, and assistive devices. Furthermore, AI supports teachers in instructional planning, assessment, and data-driven decision-making processes. However, several challenges remain, including teacher competency readiness, unequal access to technology, data privacy, and ethical concerns regarding AI implementation. Therefore, AI integration in inclusive education should adopt a human-centered, equitable, and responsible approach to ensure that technological advancement contributes to creating accessible and supportive learning environments for all students.
Co-Authors Prinastiti Dwi Santika Wasian Fauzi Nugroho Yoga Tama Zahra Radhiyya Magfira