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Transforming Science Education Through Generative AI Through Adaptive Learning, Ethical Practices, and Inclusive Curriculum Design

Transforming Science Education Through Generative AI Through Adaptive Learning, Ethical Practices, and Inclusive Curriculum Design
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Author(s): Dipta Gomes (American International University-Bangladesh, Bangladesh), Saikat Baul (American International University-Bangladesh, Bangladesh), Jubayer Ahamed (American International University-Bangladesh, Bangladesh)and Dip Nandi (American International University-Bangladesh, Bangladesh)
Copyright: 2026
Pages: 44
Source title: Harnessing Generative Artificial Intelligence for Science Education
Source Author(s)/Editor(s): Michail Kalogiannakis (University of Thessaly, Greece)and Dimitrios Sotiropoulos (University of Thessaly, Greece)
DOI: 10.4018/979-8-3373-2913-0.ch006

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Abstract

This chapter explores the integration of GenAI into STEM education with a primary focus on Science education. It examines how GenAI can revolutionize teaching and learning by providing adaptive learning environments, personalized assessments, and real-time feedback that cater to the diverse needs of students also ensuring the ethical challenges associated with the implementation of GenAI, including concerns around bias, transparency, data privacy, and academic integrity. The chapter emphasizes the importance of balancing technological innovation with ethical practices to ensure equitable access and responsible use of GenAI tools. Looking ahead, the chapter outlines key future directions, including the refinement of adaptive learning tools and the need for AI literacy programs for educators. The chapter concludes by highlighting the potential of GenAI to transform science education while ensuring that it is used in ways that promote fairness, inclusivity, and accountability.

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