AI-driven Personalized Learning Environments: Design, Implementation, and Evaluation

Thesis Abstract

Abstract

This research addresses the imperative need for personalized learning experiences through the lens of artificial intelligence (AI) in educational settings. Focused on design, implementation, and evaluation, the study explores the evolution of AI in education, emphasizing personalized learning models and adaptive technologies. The literature review scrutinizes the ethical considerations in AI-driven education and current challenges in personalized learning. The core of the research involves the development and assessment of an AI-driven personalized learning environment, covering user profiling, natural language processing, and real-time adaptation mechanisms. The implementation and evaluation phases encompass integration with educational institutions, performance metrics, user experience, ethical implications, and long-term impact assessment. The outcomes contribute to the discourse on leveraging AI to revolutionize educational paradigms for tailored and effective learning experiences.