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

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Authors: Dipta Justin Gomes, Saikat Baul, Jubayer Ahamed, Dip Nandi
Cited by: 0
References: 57

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.

Fields of Study & Subjects

Intelligent Tutoring Systems and Adaptive Learning Innovative Teaching and Learning Methods E-Learning and Knowledge Management

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Pages
163–206
Publication date
9 January 2026
Document type
Book chapter