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“We have become, by the power of a glorious evolutionary accident called intelligence, the stewards of life's continuity on earth. We did not ask for this role, but we cannot abjure it. We may not be suited to it, but here we are.”
― Stephen Jay Gould

If teaching was simple, we would have solved it long ago.

“People learn many different kinds of things and use different learning strategies and brain processes in doing so."

The inability (or unwillingness) to adopt innovations or to do things differently when they improve efficiency and effectiveness ensures your failure.

Those ideas you advocate as a leader... can you at recognize those that are contradictory and avoid advocating each in the same meeting.

Those who avoid technology cannot complain when it is applied to uses they dislike.

Without efficient search and sort functions, vast information is pretty much useless.

Developing skills applicable beyond the immediate need should be teachers' concern more often than it is.

Textbooks are the authority to which we should pay the least attention.

"Big idea people" often fail because the people to whom they look for help are too busy implementing their own big ideas.

Exaptation is a concept that was originally used in biology to describe structures that were adaptations for one function that were later used for another purpose. Today, we see many examples in technology.

Chromebooks are great, but we used to allow studnets to use technology they could control... we should return to that.

I'm to old to pay attention to self-congratulatory statements.

Technologies have real and permanent influences on how individuals and groups think and interact.

Because education is a wicked problem, cause and effect relationships are very difficult to ascertain.

Failed searches increase when your institution's reputation gets known... and folks start talking about salaries.

As presented to educators, data driven decision making is summarized as a step-by-step process: a) we administer a test, b) identify deficiencies as demonstrated in the data, c) take remediation actions to address those deficiencies, and d) find the deficiencies reduced when a test is again administered. Too bad it's a myth.

The recent generation of AI seems to have some properties that were not there previously.

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