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Correlation, association, causation. Humans are not good at differentiating these.

Campbell's Law: "The more any quantitative social indicator is used for social decision-making, the more subject it will be to corruption pressures and the more apt it will be to distort and corrupt the social processes it is intended to monitor" is particularly true in education.

No c-level executive manages, works, and leads within a vacuum. At the highest level—decisions are made to satisfy the needs and limitations of the entire organization, so they often take "bad news" to those who report to them.

AI doe bring "the hard problem" into focus, but I am increasingly convinced it isn't conscious.

Who knew AI could write tweets about technology as Charles Darwin?

“It is not the strongest computer that survives, nor the most intelligent, but the one most responsive to change.”

Even those educators who claim to be unaffected by psychology or learning theory (in my experience a large majority of teachers eschew theory), their teaching is grounded in someone’s concepts of psychology and how human brains function.

We all know the teacher who insists, “but my field is content-rich. I need to cover all of this, so that students are ready for next year.” This attitude is grounded in a sincere interest that students “know” what they should know. It also results in the teacher adopting the “fill their brains” with information approach to teaching.

Regardless of the experiences or situation that led to the trauma, schools have a responsibility to organize their structures, facilitate interactions, and manage their operations in a manner that minimizes the adverse effects on traumatized individuals.

When your team is more diverse , you make better decisions . Those who align their work with this reality will realize better outcomes.

Early in the history of desktop computing in schools, it was common to find tech-savvy teachers who supported and managed the devices.

In political processes, participants are not bound to evidence and reason in the same manner as scientists and scholars; so, any decision can be justified. Keep that in mind when you hear folks talk about their "data/"

Goodhart's Law: "When a measure becomes a target, it ceases to be a good measure" is particularly true in education .

If learning styles were a “real thing,” then we would expect to see differences in how individuals learn when we use their self-reported learning style. We do not see this effect in controlled settings.

Field trips, well-stocked libraries, and time to read and explore unfamiliar topics are all strategies for enhancing and extending our students' foundational knowledge.

Field trips, well-stocked libraries, and time to read and explore unfamiliar topics are all strategies for enhancing and extending our students' foundational knowledge.

Criticism of your methods and results and interpretations of results. If you can't handle these, then please do not call yourself data-driven.

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