© MAR 2025 | IRE Journals | Volume 8 Issue 9 | ISSN: 2456-8880 IRE 1707507 ICONIC RESEARCH AND ENGINEERING JOURNALS 670 The Role of Artificial Intelligence in Personalized Education: Tailoring Learning to Individual Needs IRENE MERIDA CALVO Abstract- Educational systems experience a transformation through Artificial Intelligence (AI) because it develops learning solutions that fulfill individual student’s requirements. The combination of adaptive learning systems with intelligent tutoring applications allows AI to create better student involvement during their learning sessions. Educational staff rely on this technology to provide immediate feedback during performance evaluations, that enables students to improve their learning for future goals. Full educational potential remains out of reach for AI because of important barriers blocking its achievement. The implementation of AI depends on combined efforts from educational leaders together with policymakers since educational technology inequalities produce expanding achievement gaps among different student groups thus leading to unequal access for all students to AI educational tools. Latitude requirements and data protection regulations function as pillars of trust between education professionals, parents, and their student learners. AI integration produces successful results in educational practices through extensive training of educators about these technological implementations. Academic success using AI technologies in educational environments depends on necessary competencies that require teachers to receive ongoing professional development. Training commitment maintained by educational institutions enables the maximum usage of AI tools which leads to personalized teaching. The effectiveness of AI education systems arises from solving equality issues and moral adherence since both factors extend educational prospects that transcend standard learning boundaries. Teamwork-based educational strategies at educational institutions enable the creation of useful learning environments which allow AI to enhance student achievements and enhance classroom participation. Indexed Terms- Artificial Intelligence, personalized education, adaptive learning, elementary education, middle school, learning styles, student engagement, intelligent tutoring systems, learning pathways, data analytics, academic achievement, social-emotional learning, educational technology, individualized instruction, feedback systems, growth mindset, student-centered learning, critical thinking, problem-solving, curriculum design, inclusive learning, real-time assessment, educational resources, motivation, self-directed learning, teacher support, academic performance, learning environments, innovative solutions, lifelong learning. I. INTRODUCTION Schools use Artificial Intelligence (AI) integration to reshape how teachers address student learning requirements in their primary and intermediate classrooms. Students learning in diverse educational settings do not get sufficient help from established teaching approaches to address their requirements. Research demonstrates that designing specific educational information results in increased student concentration and enhanced academic achievements and classroom success, based on Hattie (2012). The evolution of artificial intelligence exceeds its function as a traditional standard assessment tool because it shapes the school system for creating individualized educational pathways. The Imperative for Personalization in Education Every school must deal with student heterogeneity because its students exhibit different cognitive abilities, emotional needs, and learning styles. U.S. public primary and secondary institutions host 50 million students who represent an extensive array of diverse life experiences based on reports from the National Center for Education Statistics (NCES, 2022). The different learners in these classrooms lack adequate academic support from standard teaching