ChangED
What did you think of the episode? Send us a text! [https://www.buzzsprout.com/2245327/fan_mail/new] AI can write code now, so what exactly should computer science class teach next year, or five years from now? We sit down with Jigar Patel, Director of Innovation and Special Projects at Tuscarora Intermediate Unit 11, to get practical about what’s changing in K-12 computer science education and what should stay non-negotiable. We unpack the big shift happening inside the revised CSTA computer science standards and why the next wave goes beyond block coding. Think machine learning, artificial intelligence, data science, systems and network security, plus “computing and society” so students can grapple with ethics, bias, policy, and the environmental impact of technology. We also talk about how CS teaching may become more student-driven and discovery-based, which raises real questions about teacher prep, certification, and how schools build strong learning experiences from elementary through high school career pathways like cybersecurity, software development, and AI. Then we head straight into equity: what happens when students are asked to learn programming but do not have reliable internet at home? Jigar shares an intriguing direction using Raspberry Pi and local open source models to explore an offline AI tutor for Python and debugging support, alongside the bigger concerns of affordability and student data privacy. We close with a hard truth: so many classroom tools still rely on a small handful of large language model providers, and that concentration matters. If you got value from this, subscribe, share with a colleague, and leave a review. What do you think every graduate should know about AI and computer science? Want to send us a show idea or just say hi? Email us at: thechangedpodcast@gmail.com!
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