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"Dating from 1991, the Python programming language was considered a gap-filler, a way to write scripts that "automate the boring stuff" (as one popular book on learning Python put it) or to rapidly prototype applications that will be implemented in other languages. However, over the past few years, Python has emerged as a first-class citizen in modern software development, infrastructure management, and data analysis. It is no longer a back-room utility language, but a major force in web application creation and systems management, and a key driver of the explosion in big data analytics and machine intelligence."

"The Maker Movement in schools is exploding.  It's exciting to see so many schools starting makerspaces and offering students opportunities to express their creativity.  But with this explosion also comes the desire to focus too much on the STUFF and not on the EXPERIENCE."

"The phrase "artificial Intelligence" was coined by pointy-heads at MIT in 1955. Back then, it referred to an obscure field of computer science devoted to then-hypothetical programs that could engage in tasks that "require high-level mental processes such as: perceptual learning, memory organization, and critical reasoning." Fast-forward to 2023: While AI has been a murmur in tech circles for the last few years, those conversations really get loud until the commercial release of products like Chat GPT and DALL-e. Now everyone is talking about AI, everywhere you go-hyping it, demonizing it, fearing it-but most of all, misunderstanding it. This is partly because it's a complex subject-we don't even agree on what "intelligence" is, let alone "artificial intelligence"-but another reason so many are getting AI wrong essentially comes down to that familiar villain capitalism. With the explosion in popular interest, advertisers and marketers are using terms like "AI," "AI-powered," and "artificial intelligence" as a selling point so much, they're beginning to lose what little meaning they once had."

"The explosion of generative AI has created significant challenges and sparked new opportunities for our students. So, how do we decide when students should and should not use AI? In this article and podcast, I explore seven key areas you might consider as you craft the policies and design the systems within your school."