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Impact of AI on Student Learning Outcomes: Measuring Success and Identifying Challenges
Abstract
This chapter investigates the transformative impact of artificial intelligence (AI) on student learning outcomes, concentrating on the possibilities and constraints of AI-powered personalized learning systems. AI offers a dynamic approach to education by enabling tailored learning paths that respond to individual student needs, enhancing both interest and accomplishment. Through a detailed study of important success measures, this chapter illustrates how AI-driven technologies boost student performance and outlines the primary issues associated with their adoption, including data protection, teacher adaptability, and the digital divide. Case examples of successful AI integration highlight the effectiveness of these technologies, while future recommendations underline the need for equal access and continuing growth in the field. Ultimately, this chapter contends that AI has the potential to improve education, but success requires careful monitoring and addressing inherent obstacles.
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