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Sometimes people collect the data before they develop good theories. Without theory, data is meaningless.

Instant feedback (from computer) is good; insightful feedback (from human) is better.

When we consider data (least meaning) < information < knowledge < wisdom (most meaning ), one wonders why we focus so much on data.

We can't simultaneously optimize everything.

Stop worrying about outcomes, start worrying about learning.
Heresy that must become mainstream

"What if we gave a test and no one came?" my notes say this came from Alfie Kohn.

When the IT folks say "it can't be done," they means, "it shouldn't be done," "it is too expensive," "we don't have the time," or "I don't know how."

Cliff Stoll: Data is not information, info is not knowledge, knowledge is not understanding, understanding is not wisdom. Yet schools focus on...?

Learning is working on the line between competence and incompetence.

We can’t even be reasonable with drones, when we get flying cars we are in trouble.

We can’t define artificial intelligence because we don’t know what natural intelligence is.

Interaction in Preliterate Societies
buff.ly/3DFT3kg
A blog post turned AI-generated podcast.

There are so many great IT tools until you use them.

"I could not think of a different explanation" isn't proof.

One thing I learned during my education career: Every school has multiple on-going initiatives. Some of which have contradictory goals.

I can at least understand the fact that money buys access to political leaders; it is shameful, but understandable. I cannot understand school leaders allowing outside money to make their decisions.

Only school IT professionals have ever experienced the intense pressure of entering a classroom to fix the computer and projector for a classroom of students who are awaiting the start of the long-promised movie.

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