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Artificial Intelligence in Education: Supporting Diverse Learning Styles and Addressing Ethical Considerations
Abstract
This chapter explores the transformative potential of artificial intelligence (AI) in education, focusing on how AI technologies support diverse learning styles and foster inclusive pedagogy. Drawing on theories such as Gardner's multiple intelligences and Vygotsky's social constructivism, it examines the role of intelligent tutoring systems, adaptive learning platforms, and natural language processing tools in personalizing instruction and promoting learner autonomy. The chapter also addresses critical ethical concerns, including data privacy, algorithmic bias, and the evolving role of educators. Emphasizing alignment with Universal Design for Learning (UDL) and global AI ethics frameworks, it advocates for responsible integration of AI to enhance accessibility and equity in education while reaffirming the indispensable human dimension of teaching.
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