Teaching about AI and data science

In 2025, we are looking at research in schools to identify what students should learn about AI, machine learning, and data science, and the best ways to teach these critical topics. Watch recordings, read our summary blogs, and download speakers' slides.

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A teacher helps a student with a computing task

Teaching with and about AI in K–12 education: A clear-eyed approach to navigating the road ahead (21 January 2025)

Speaker: Shuchi Grover (Looking Glass Ventures)

AI has a dual role in K–12 education: it can be used as a teaching tool (teaching with AI) and it necessitates the promotion of AI literacy (teaching about AI).

Through these two themes, Shuchi Grover will look at how generative AI can be used in STEM and computer science (CS) classrooms to ethically support teaching and learning. She will also explore how foundational AI literacy and AI concepts can be integrated into CS curricula, to develop students' understanding of AI and machine learning as well as AI ethics.

Through concrete examples and recently developed frameworks, this seminar aims to equip educators with practical insights to understand AI's impact on society and its role in the future of education.

Dr Shuchi Grover is the Director of AI and Education Research at Looking Glass Ventures in Austin, Texas. She is a computer scientist and learning scientist with over 20 years’ experience in PK–12 computing education in formal and informal settings. She has led several National Science Foundation-funded projects involving research & design of curriculum, assessments, tools, and environments that help develop 21st-century competencies in computing, data science, AI, and cybersecurity, as well as the integration of STEM, computer science, and data science.