Transforming Science Learning Materials in the Era of Artificial Intelligence

TL;DR

This paper explores how AI is transforming science learning materials by enabling personalization, interactivity, and accessibility, while emphasizing ethical considerations and the importance of responsible implementation.

Contribution

It provides a comprehensive analysis of AI's role across six domains in science education and discusses ethical challenges and best practices for responsible AI integration.

Findings

AI enables dynamic simulations and real-time data interaction.

AI supports personalized and accessible science instruction.

Educators collaborate with AI tools for culturally responsive content.

Abstract

The integration of artificial intelligence (AI) into science education is transforming the design and function of learning materials, offering new affordances for personalization, authenticity, and accessibility. This chapter examines how AI technologies are transforming science learning materials across six interrelated domains: 1) integrating AI into scientific practice, 2) enabling adaptive and personalized instruction, 3) facilitating interactive simulations, 4) generating multimodal content, 5) enhancing accessibility for diverse learners, and 6) promoting co-creation through AI-supported content development. These advancements enable learning materials to more accurately reflect contemporary scientific practice, catering to the diverse needs of students. For instance, AI support can enable students to engage in dynamic simulations, interact with real-time data, and explore science concepts through multimodal representations. Educators are increasingly collaborating with generative AI tools to develop timely and culturally responsive instructional resources. However, these innovations also raise critical ethical and pedagogical concerns, including issues of algorithmic bias, data privacy, transparency, and the need for human oversight. To ensure equitable and meaningful science learning, we emphasize the importance of designing AI-supported materials with careful attention to scientific integrity, inclusivity, and student agency. This chapter advocates for a responsible, ethical, and reflective approach to leveraging AI in science education, framing it as a catalyst for innovation while upholding core educational values.