Abstract: The integration of Artificial Intelligence (AI) into education is transforming traditional teaching and learning paradigms, offering personalized and adaptive learning experiences. AI allows educators to customize teaching to meet each student's unique needs, enhancing engagement and boosting results. The advancement of artificial intelligence, algorithms, and methods has made personalized learning (PL) solutions an effective way to improve learning performance.These include machine learning techniques to predict learner preferences, adaptive learning systems that adjust content dynamically, and natural language processing tools for real-time feedback.
AI-powered language learning tools, automated grading systems, and immersive virtual learning environments represent other promising applications in education. These systems utilize Data Analytics to track learner progress, identify knowledge gaps, and provide targeted support to help students achieve their objectives. The objective of this review is to know the impact of AI-driven personalization on learner’s performance. And to explore how the implementation of AI-powered adaptive learning platforms influences academic achievement, engagement levels, and overall satisfaction among learners.
Keywords: Artificial Intelligence(AI), Personalized Learning, Machine Learning, Data Analytics and Adaptive learning systems.
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DOI:
10.17148/IJARCCE.2025.14245
