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2025 | OriginalPaper | Chapter

5. Transforming Education: The Potential of Generative AI Tools for Improving Learning Experience

Authors : Mateus David Finco, Vagner Ramos Dantas, Lucas Raphael da Costa Queiroz, Miriã de Lira Calado

Published in: Human-Computer Creativity

Publisher: Springer Nature Switzerland

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Abstract

The chapter delves into the transformative potential of Generative Artificial Intelligence (GAI) in education, highlighting its ability to create and enhance educational systems through personalised learning and adaptive teaching methods. GAI tools, such as chatbots and language models, are explored for their capacity to assist in content creation, immediate feedback, and formative assessment, thereby reducing the workload for educators and promoting high-quality teaching. The text also addresses the ethical challenges and concerns surrounding GAI, including issues of academic integrity, data privacy, and the potential for bias. It discusses the importance of transparency, fairness, and equity in the implementation of GAI, emphasizing the need for ethical guidelines and collaborative efforts among stakeholders. The chapter concludes with a forward-looking perspective, advocating for the responsible development and application of GAI to ensure its benefits are harnessed while mitigating risks. It underscores the necessity of addressing biases, ensuring data privacy, and managing the impact on educational equity, paving the way for a future where GAI drives meaningful progress in education.

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Literature
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Metadata
Title
Transforming Education: The Potential of Generative AI Tools for Improving Learning Experience
Authors
Mateus David Finco
Vagner Ramos Dantas
Lucas Raphael da Costa Queiroz
Miriã de Lira Calado
Copyright Year
2025
DOI
https://doi.org/10.1007/978-3-031-86551-0_5