Transforming Education Through Artificial Intelligence: Personalization, Engagement and Predictive Analytics

Abstract

AI can boost education's efficiency and effectiveness in teaching and learning. In the first step, provide a summary of AI in the multipronged service to education, show the capacity of AI to tailor instruction to the interactive learning environments that it makes possible, and thereby urge its application in this area. Next, this paper uses the literature review, examples, and fictitious data commentaries to show how artificial intelligence tools and programming A and B above (including intelligent tutoring systems, adaptive learning platforms, automatic grading, and VR AR technology) reshape school outcomes and redefines student engagement. This study adopts a mixed-methods approach to investigate the impact of Artificial Intelligence (AI) on academic outcomes and engagement. By combining qualitative and quantitative research methods, this paper aims to comprehensively analyze AI's role in modern educational settings. The methodology is designed to gather data from various sources, including case studies, surveys, and experimental data, to offer a holistic view of AI's educational implications. Sampling was done from the 100 teachers and students about the public and private schools and universities of Central Karachi. The analysis highlights positive recognition of AI's value in lifelong learning and increased engagement. It also underscores the need to address existing challenges to ensure AI effectively delivers its potential benefits. Future enhancements should prioritize design aspects such as user experience, adaptability, and accuracy to optimize AI's impact on engagement and learning quality.