THE TRANSFORMATIVE IMPACT OF AI-DRIVEN PERSONALIZATION IN EDUCATIONAL SETTINGS: FROM ADMINISTRATIVE EFFICIENCY TO ENHANCED LEARNING OUTCOMES
Keywords:
Artificial Intelligence In Education, Personalized Learning Systems, Intelligent Tutoring, Educational Technology, K-12 Digital TransformationAbstract
This article examines the transformative role of artificial intelligence (AI) in contemporary K-12 education, focusing on its applications in personalized learning, intelligent tutoring systems, and administrative efficiency. Through a comprehensive analysis of current implementations, the article investigates how AI-driven technologies are revolutionizing traditional educational paradigms by enabling customized learning experiences and reducing administrative burdens on educators. The article explores various dimensions of AI integration, including automated assessment systems, adaptive learning platforms, and intelligent administrative tools, while considering their impact on student engagement, learning outcomes, and teaching effectiveness. Findings indicate that AI-enhanced educational systems significantly contribute to personalized learning experiences, improve assessment efficiency, and enable educators to focus more on higher-order teaching activities. The article also addresses implementation challenges, resource optimization, and policy implications, providing insights for educational institutions considering AI adoption. This article contributes to the growing body of literature on educational technology by offering a structured framework for understanding the current state and future potential of AI in education, while highlighting the importance of balanced integration that preserves the essential human elements of teaching and learning.
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