Skip to main content
📰ArticleTeacher Training

“Coding is dead”? Teaching computer programming in the age of AI

AI in Education EditorialUpdated June 2, 20261 min readRead source
“Coding is dead”? Teaching computer programming in the age of AI
🌍Global👩‍🏫Teachers🎯Teaching📚Computer Science🏛️Administrators👤Policymakers+5 more

Skip to main content Search Search Quick links: Mondiacult Revive the Spirit of Mosul World Heritage Idea “Coding is dead”? Teaching computer programming in the age of AI Can students truly learn to program when machines can write code for them? Has the "learn to code" movement reached its end? 3 December 2025 Last update: 24 December 2025 ©Unsplash/arnold-francisca By Craig McNeile, University of Plymouth With the current mania for generative Artificial Intelligence (AI), there is much anguish about AI

Analysis & Perspectives

People Also Ask

What recent news of AI is most relevant for classroom teachers?
Most relevant for classroom teachers is news about AI writing and detection tools, institutional AI policies, research on AI tutoring effectiveness, and practical guides for integrating AI into lesson planning. Organizations like ISTE and ASCD regularly synthesize these updates for educators.
How has news of AI changed public perception of education?
News of AI in education has sparked significant public debate, shifting perception from technology as neutral tool to technology as a values-laden decision. Parents, policymakers, and educators are increasingly engaged in conversations about what learning should look like when AI can perform many traditional academic tasks.
What news of AI should schools track for policy planning?
Schools should track news on AI in standardized testing, AI acceptable use frameworks from peer districts, legal developments around student data privacy with AI tools, and emerging research on AI impact on reading and writing skill development.
How do I teach students to critically assess news of AI?
Teach students to ask who published the story and what their interests are, what evidence supports the claims, and whether the story conflates narrow AI capabilities with general intelligence. AI news is frequently misrepresented in both optimistic and alarmist directions, making critical evaluation essential.