Transforming Education with Intelligent Solutions
Abstract
This paper explores the transformation of education through intelligent solutions enabled by AI-driven engineering. Through case studies and research insights, it investigates how artificial intelligence is reshaping teaching, learning, and administrative processes in educational institutions. The study highlights the application of AI techniques such as personalized learning, adaptive assessment, and virtual tutoring in enhancing student outcomes, engagement, and retention. Additionally, it discusses the integration of AI with learning management systems, educational content platforms, and student support services to enable data-driven decision-making, curriculum personalization, and learning analytics. The paper also addresses challenges such as ethical considerations, digital divide, and teacher training in the adoption of AI-driven engineering solutions in education. It emphasizes the importance of pedagogical research, policy frameworks, and stakeholder collaboration in leveraging AI's potential to create inclusive, accessible, and equitable educational experiences for all learners.
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References
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