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School tech decisions are complex! School boards, admins, educators, and tech experts all have different perspectives & understanding.

Successful tech planning requires ongoing dialogue & a planning cycle. This helps ensure systems meet the needs of educators & students.

Traditional tests isolate students and focus on individual performance, yet we believe they accurately predict students' abiliy to use the information... in the wild.

I complain about MFW at work, but not on my private accounts.
Does that say anything about me?

For generations folks avoided coding... I hope we can reverse that and have students create, customize, evaluate, and improve AI tools.

Robots reading text generated by AI... yeah this time seems different. I think there are folks who'll be happy to repace teachers with this model.

Ethics. Whatever you field, if it isn't in your syllabus, you are not doing your job.

If you conclude in your book that “AI is neutral and takes bias out of decisions,” in not sure I trust your judgment on the rest of the chapters.

“Have AI write your SMART goals” is the best advice I’ve ever read.

The Complete, if Flawed, Guide to Generative AI
buff.ly/41fpa3Z
My summation of a good, but incomplete, book on AI.

“There are three stages in scientific discovery. First, people deny that it is true, then they deny that it is important; finally they credit the wrong person.”
― Bill Bryson,

Chromebooks are easy to manage, but limit students' computing experiences. Schools should expose students to different operating systems and applications.

Students who are comfortable with a variety of tech are better prepared to assess IT. This is especially important today, as technology is constantly evolving.

We should teach students to be problem-solvers, not just users of specific tech. This means giving them the tools and autonomy to explore different computing options.

Using diverse computer systems, including different operating systems and software applications, better prepares students for real-world IT environments. It exposes them to a wider range of tools and technologies, enabling them to adapt to different situations and make informed decisions about technology choices.

I thought we were all going to be making $200k as prompt engineers by now.

I've added an audio deep dive to by blog post "Don't be the Department of 'No'."
buff.ly/40mJKPs

Organizations rely on data analysis for informed choices, but data isn't always perfect. Leaders, however, assume it is... and that is a (large) part of the problem.

“The opposite of a correct statement is a false statement. But the opposite of a profound truth may well be another profound truth.”
― Niels Bohr

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