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AI for Data-Driven Decision Making in Education
Abstract
This chapter will explore the role of artificial intelligence (AI) in data-driven decision-making within educational settings, highlighting how AI can enhance the process of collecting, analyzing, and interpreting vast amounts of data to inform strategic choices. By leveraging AI-powered tools, educators and administrators can gain deeper insights into student performance, engagement, attendance, and other critical metrics, enabling more informed, timely, and personalized decisions. The chapter will examine the benefits of AI in improving educational outcomes, such as identifying at-risk students, optimizing resource allocation, and supporting evidence-based policy development. Additionally, it will address the challenges and ethical considerations associated with using AI for decision-making, including data privacy, algorithmic bias, and the need for transparency and accountability.
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