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- Why kids still need to learn to code in the age of AI
to program In an era of AI-generated code, it’s tempting to assume that the hard work of actually writing code is becoming obsolete Surely we can just teach young people how to vibe code? The reality is that coding is still the most effective way we know for young people to develop
- New Guidance from TeachAI and CSTA Emphasizes Computer . . .
CS teachers need support to teach with and about AI: 88% indicated a need for additional resources and professional learning to teach with and about AI “We need to help students learn to ask questions well,” said Christina Gardner-McCune, associate professor at the University of Florida and co-chair of AI4K12
- In the Age of AI, What Should We Teach Student Programmers?
AI Reliability Engineering: Welcome to the Third Age of SRE Jun 4th 2025 1:00pm, by Denys Vasyliev Why CI CD Alone Won’t Cut It for Infrastructure as Code
- AI Literacy Guide: How To Teach It, Plus Resources To Help
“AI literacy for K-12 students and families is essential for navigating an AI-driven world and should include four pillars: understanding AI basics, recognizing AI’s strengths and limitations, ethical and responsible AI use and critical thinking, and media literacy,” says Womble
- Coding in the Age of AI - Constructing Modern Knowledge
This workshop is about thinking, computing, teaching, and learning This workshop is not about ChatGPT, but will help educators understand the issues at hand in the age of AI The workshop leader, Dr Gary Stager, has more than four decades worth of experience teaching computer programming to learners of all ages and their teachers
- 5 Ways to Actually Teach AI (Not Just Use It)
AI tools are showing up in classrooms, but are we actually teaching kids how AI works? In this post, we share 5 simple, powerful ways to teach AI in K–5 classrooms From hands-on projects to ethical discussions, discover how to move beyond using AI and start building real understanding Perfect for educators ready to make AI literacy fun, age-appropriate, and meaningful
- Why Learning Programming Still Matters in the Era of AI
3 Ethical AI Programming Approach: Teach students about the ethical implications of AI and how programming decisions can impact AI behavior This should include discussions on bias in AI, data privacy, and the societal impacts of AI technologies Example: Students could explore case studies of AI failures, such as biased algorithms in hiring
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