Firdausi, Mirma Yudha
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Utilization of Artificial Intelligence in Personalized Learning Nindia, Astrid; Firdausi, Mirma Yudha; Prapantja, Yudha; Zulfitria, Zulfitria
Journal of English Language and Education Vol 11, No 1 (2026)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jele.v11i1.2134

Abstract

The rapid advancement of artificial intelligence (AI) over the past decade has driven significant transformations in educational practices, particularly through the implementation of personalized learning. This article aims to comprehensively examine the utilization of AI in supporting adaptive, learner-centered personalized learning and to identify the opportunities and challenges associated with its implementation. This study adopts a literature review approach by analyzing relevant peer-reviewed journal articles retrieved from Google Scholar published between 2015 and 2025. The findings indicate that the application of Intelligent Tutoring Systems, Adaptive Learning Management Systems, and Generative AI enables the dynamic adaptation of learning content, pacing, and learning pathways based on individual learner profiles, thereby enhancing learner engagement, learning efficiency, and academic achievement. Furthermore, the role of educators is shifting from content delivery toward facilitation and mentoring of the learning process. Nevertheless, the integration of AI in education also presents critical challenges, including data privacy concerns, algorithmic bias, AI hallucinations, and the risk of depersonalization in learning environments. This article underscores the importance of adopting a human-centered and ethical approach to AI integration to ensure that personalized learning is implemented effectively, equitably, and sustainably.
Efektivitas Program Pelatihan Pilah Sampah Di Indonesia: Literature Review (2022-2025) Firdausi, Mirma Yudha; Imaduddin, Rahmat; Prapantja, Yudha; Zulfitria, Zulfitria
EDUPEDIA Vol. 10 No. 1 (2026): April
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/ed.v10i1.3617

Abstract

The transformation of waste management in Indonesia requires substantial changes in public behavior, particularly in the practice of waste sorting at the source, which remains limited. This study aims to comprehensively analyze the effectiveness of various waste-sorting training models and to identify the key factors influencing their success in shaping public mindset and behavior. The research employed a Systematic Literature Review (SLR) by examining six indexed scientific articles published between 2022 and 2025 that focus on awareness-building and basic educational interventions in school and residential settings. The synthesis of findings indicates that the effectiveness of training programs does not operate in isolation but is simultaneously influenced by three main factors: (1) technical factors, including the availability of supporting infrastructure such as segregated waste bins; (2) cognitive factors related to participants’ understanding, facilitated through instructional methods, visual demonstrations, and interactive simulations; and (3) policy-related factors involving the implementation of regulations and the role of social role models. The results reveal that while waste-sorting training programs are highly effective in improving knowledge among students and community members, a gap remains in translating knowledge into consistent behavioral change. This gap highlights the need for continuous mentoring supported by adequate infrastructure to sustain behavioral consistency. Overall, the study indicates that maximum cognitive effectiveness is achieved through the integration of interactive educational methods, complemented by sufficient physical facilities and reinforced through continuous assistance or binding regulatory strategies that incorporate elements of positive enforcement to maintain long-term behavioral change.