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Here is your regular reminder that Deming was working in manufacturing not education.

Humans who are thinking in groups do it differently than when they do it individually.

Call me what you will, but I participate in and identify with communities that reject ideas that are demonstrably false.

What if the purpose of education standards were designed to “spur addictions, expansions, and variations—not adherence?”

For humans, “What is better?” varies. AI is based on algorithms that need more clear criteria than humans do.

AI is overly confident in its conclusions that are based on biased data. So, this is different from humans?

Let’s stop using colors that make slides unreadable to those who have imperfect vision.

The most distressing aspect of public discourse recently is that it has become accepted that folks can make up any “facts” they want and others believe them without question.

Differences among students are just differences; there is no need to confuse everyone by suggesting each has a learning style.

When listens to users and the problems they face, things are solved. When we focus on tools, their problems get worse.

In education, and a few other fields, research is driven by improvement as much as by curiosity.

If students know and care, but don’t act, have we done our job?

If students know and care, but don’t act, have we fine our job?

AI “hallucinates” (it makes up information, including citations). I’m wondering how this is different from humans creating conspiracy theories.

If education is about outcomes, and AI allows us to get to outcomes immediately, then we should embrace it, right?

The predictions about how AI will replaced teachers should be concerning… even the ones made 50 years ago.

When do we stop calling it artificial intelligence?

“I just teach, I don’t worry about theory.” Thus is a sign your teaching is based on crummy theory.

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