Should We Still Teach Coding in the AI Era? An Interview with Prof Sue Sentance, Director of the Raspberry Pi Computing Education Research Centre at the University of Cambridge

Start your data & AI transformation journey with Cambridge Spark. What does it take to prepare students—and their teachers—for a future shaped by AI? In this episode of Data & AI Mastery, host Dr. Raoul-Gabriel Urma sits down with Prof. Sue Sentance, Director of the Raspberry Pi Computing Education Research Centre at the University of Cambridge, to explore the evolving landscape of computing education.  From the importance of teaching AI literacy and programming skills, to the challenges of teacher development and interdisciplinary learning, Sue offers research-backed insights into what inclusive, future-ready education should look like.  They discuss the role of pedagogy like PRIMM, frameworks such as SEAME, and why critical thinking—not just technical know-how—is essential for navigating today’s digital world. Whether you're an educator, policymaker, or AI enthusiast, this conversation will leave you rethinking how we equip the next generation with the skills to engage with, critique, and shape AI technologies. Chapter Markers: (00:00) Start Your Journey into AI Mastery Kick off with Dr. Raoul-Gabriel Urma as he sets the stage for this episode's deep dive into computing education and AI literacy. (01:20) Discover Prof. Sue Sentance’s Path to Shaping Computing Education Explore Sue’s unique journey from AI PhD to classroom teacher to academic leader in computing pedagogy. (03:29) Unpack the Latest Research in AI and Programming Education Learn about Sue’s current work, including AI education, debugging, and longitudinal studies in physical computing. (04:43) Master the Skills You Need in the Age of AI Find out what essential skills students need today to thrive in an AI-driven world—and why confidence and critical thinking are key. (08:51) Learn Why We Must Teach AI—and How to Do It Effectively Sue explains why understanding AI isn't optional and offers insights on how we can teach it meaningfully in schools. (11:59) Break Down AI Literacy with Real-World Frameworks Get to grips with leading AI literacy models from UNESCO, OECD, and the EU—and their implications for education. (15:01) Get Actionable Advice for Parents Navigating AI and Tech Sue shares how parents can support their children in learning about AI—even without technical expertise. (17:23) Explore the Line Between Teaching with AI and Teaching About It Understand the difference and how educators can responsibly integrate AI tools into teaching practices. (21:26) Debate the Future: Should We Still Teach Programming? Sue tackles the hot topic of whether coding still matters in an age of generative AI—and what we risk if we stop. (24:08) Hear Personal Insights in a Rapid-Fire Q&A Find out Sue’s favourite programming language, subjects at school, and the music that fuels her work. (28:23) Wrap Up with Final Thoughts on Empowering Learners with AI Raoul reflects on key themes, from coding's long-term value to the role of education in fostering AI literacy. Useful Links: Enjoying the Show? If you enjoyed this conversation, help us spread the word: Rate & Review on Apple PodcastsVisit Cambridge Spark to explore programmes that future-proof your data & AI skillsConnect with Dr. Raoul-Gabriel Urma on LinkedInConnect with Prof. Sue Sentance on LinkedInExplore Cambridge Spark’s AI upskilling programs at cambridgespark.com