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AI in Education: Bridging Misconceptions
This chapter explores the integration of AI, particularly large language models, in addressing student misconceptions and enhancing educational outcomes. It discusses the challenges of data collection, the development of AI models for assessment optimization, and the potential role of AI in supporting teachers. Through various experiments and insights, the narrative evaluates both the strengths and limitations of AI in tackling real-world educational challenges.