Artificial Intelligence (AI) is rapidly transforming how students access information, construct knowledge, and engage with scientific ideas. For science educators, this presents both exciting opportunities and important responsibilities. This session explores how AI can be meaningfully and ethically integrated into science teaching to support inquiry-based learning, deepen conceptual understanding, and strengthen assessment practices across primary and secondary contexts.
Rather than positioning AI as a replacement for traditional teaching approaches, the session emphasises its role as a powerful partner in learning. Participants will explore how AI tools can help students generate hypotheses, visualise abstract processes, interpret data, model scientific phenomena, and refine scientific explanations. Practical classroom examples will demonstrate how AI can scaffold thinking while maintaining the integrity of disciplinary knowledge and scientific reasoning.
A key focus of the session is supporting teachers in developing students’ scientific literacy in an AI-rich environment. As learners increasingly rely on intelligent systems to gather and synthesise information, they must also learn to question sources, evaluate outputs critically, and recognise limitations and bias within AI-generated responses. Strategies will be shared for helping students become reflective users of AI who can distinguish between evidence-based reasoning and plausible but inaccurate outputs.
Participants will also examine how AI can support inclusive science education. AI-powered tools can help differentiate instruction, provide accessible explanations, support multilingual learners, and offer alternative ways for students to demonstrate understanding. Examples will highlight how thoughtful integration of AI can increase participation and confidence among learners who may otherwise feel excluded from science learning.
Assessment is another important dimension addressed in the session. As AI tools become more widely available, educators are reconsidering how to design tasks that promote authentic scientific thinking. The session will present approaches for designing assessments that value process, reasoning, and interpretation over simple recall, while also using AI to support formative feedback and student reflection. These approaches encourage learners to engage more deeply with scientific practices such as modelling, argumentation, and evaluation of evidence.
Ethical considerations will be woven throughout the session, including responsible classroom use, transparency, data awareness, and supporting students to understand how AI systems function. Participants will leave with practical strategies for introducing AI in ways that align with curriculum expectations and uphold professional standards.
This interactive session is designed for educators who are curious about using AI in science education but want practical guidance grounded in pedagogy rather than technology alone. Through discussion, examples, and collaborative reflection, participants will develop confidence in identifying opportunities where AI can enhance—not replace—effective science teaching.
By the end of the session, participants will have concrete ideas they can adapt immediately within their own classrooms and departments to support thoughtful, future-ready science learning.
