Fida Rachmadiarti, Ika Diyah Candra Arifah, Felix Tan, Arif Hidayat, Muji Sri Prastiwi, Dwi Anggorowati, Enny Susiyawati
The rapid integration of Artificial Intelligence (AI) into education has advanced personalized learning yet concerns about its alignment with equitable andragogy remain. This study responds to the lack of empirical evidence on how AI personalization affects student learning while considering ethical, social, and pedagogical dimensions often overlooked in tech- centered research. Using data from 150 university students on an AI-powered learning platform, the study examines the influence of AI personalization on learning performance, with learning experience as a mediator and AI technology acceptance as a moderator. PLS-SEM results show that personalized AI learning improves performance primarily through enhanced learning experiences. Moderation analysis reveals that student acceptance of AI significantly affects its impact. This study contributes by integrating ethical, human-centered perspectives into AI evaluation and advocates for inclusive, transparent, and andragogy-driven AI design to ensure alignment with educational values. The findings offer implications for educators, designers, and policymakers. © 2025 IEEE.
Universitas Negeri, Biology Department, Surabaya, Indonesia; Universitas Negeri, Digital Business Department, Surabaya, Indonesia; University of New South, Business School, Australia; Universitas Pendidikan, Physics Department, Indonesia; Universitas Negeri, Research and Education Evaluation Department, Surabaya, Indonesia; Universitas Negeri, Science Education Department, Surabaya, Indonesia
