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Personalized Learning with Artificial Intelligence: A Systematic Literature Review on Implementation and Outcomes in Educational Settings Rifai, Alfan; AN, Andri Nirwana; Wachidi, Wachidi; Budihargo, Mushab Umar
Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2025: Proceeding ISETH (International Summit on Science, Technology, and Humanity)
Publisher : Universitas Muhammadiyah Surakarta

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Purpose: This study examines the application of artificial intelligence (AI) in education, with an emphasis on personalized learning across K–12, higher education, and online learning, and evaluates both its benefits and implementation challenges. Methodology: The research uses a qualitative literature-based synthesis of empirical and conceptual studies on AI-enabled personalized learning. Evidence is compared across education levels and learning domains to identify (1) observed learning impacts (e.g., engagement and achievement) and (2) recurring adoption barriers (e.g., infrastructure readiness, equity, and governance). Results: The findings indicate that AI-supported personalized learning can improve learner engagement and motivation by delivering adaptive content and feedback. Reported outcomes include performance gains in adaptive learning implementations, such as an increase in average scores from 68.4 to 82.7. However, implementation obstacles remain substantial, including limited infrastructure, unequal access, insufficient educator training, data privacy risks, and institutional resistance to change. Several studies also highlight unintended effects such as learner over-reliance on technology and reduced teacher–student social interaction. Applications/Originality/Value: This study consolidates cross-level evidence on where AI personalization is most effective and where it is most fragile. It provides practical implications for policymakers and institutions: invest in infrastructure, deliver sustained teacher training, and enforce strict data protection governance to enable responsible adoption. The study argues for a balanced integration model that leverages AI’s adaptivity while preserving human-centered educational values.
Islamic Value-Based Self-Regulated Learning Strategy for PAI Students as The Contribution of Islamic Psychology to Civilization Hadi, Abil Fida Muhammad Qois Al; Istanto, I; Shobahiya, Mahasri; Siati, Is Silaning; Maksum, Muh. Nur Rochim; Jamroji, Bagus; Vambudi, Viky Nur; Budihargo, Mushab Umar
Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2025: Proceeding ISETH (International Summit on Science, Technology, and Humanity)
Publisher : Universitas Muhammadiyah Surakarta

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Abstract

Purpose: This study aims to examine the application of Self-Regulated Learning (SRL) based on Islamic values by PAI students, as well as the factors that affect its success.Methodology: The research method used is qualitative with a phenomenological approach, involving interviews and observations on PAI students at the University of Muhammadiyah Surakarta. Data were analyzed descriptively to understand students' experiences and perceptions related to SRL in the context of Islamic values.Results: The study found that students used various SRL strategies, such as learning planning and self-reflection, integrating Islamic values like patience, tawakal, and sincerity. Supporting factors included intrinsic motivation, social support, and supportive facilities. Inhibiting factors included a lack of understanding of Islamic-based SRL and the influence of technology. The implementation of SRL positively impacted academic achievement and character development.Applications/Originality/Value: The study highlights the importance of integrating Islamic values into SRL to enhance both academic and moral development of PAI students, emphasizing its relevance in the context of modern education. The findings offer insights into how Islamic teachings can be applied to foster better learning outcomes and personal growth.