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Enhancing Assessment With AI: Strategies for Complementing Teacher Expertise
Abstract
This chapter examines the revolutionary impact of Artificial Intelligence (AI) on educational evaluation, highlighting how AI tools can enhance, rather than supplant, teacher ability. In response to the changing requirements of 21st-century education, AI provides avenues for individualized learning, immediate feedback, and effective performance monitoring. Grounded in cognitive and constructivist learning theories, the book delineates various AI-driven assessment models, encompassing rule-based grading and adaptive analytics. It emphasizes the pedagogical, ethical, and technical aspects of AI integration by utilizing empirical research and practical case studies. The debate emphasizes promoting a human-centered approach that maintains teacher autonomy, guarantees equity, and fosters inclusivity. The book advocates for a collaborative future where instructors and AI synergistically enhance assessment processes and student results.
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