Gary Ackerman @garyackerman@qoto.org

One reason we should admire science is practitioners try really hard to be wrong. They start from the hypothesis that their results are just random.

One thing I learned during 35 years in education: Doing nothing is sometimes a good strategy.

Just because you are “in charge” does not mean your ideas are worth following.

A blog post on interaction in onoine classrooms, now with audio:
https://www.hackscience.education/interaction-in-online-classrooms/

Conspiracy theories are so tiresome.

One thing I learned during 35 years in education: No matter how carefully practices are defined by researchers, by the time they reach teachers, they have been transmogrified into something much different.

You can keep your beliefs, but I’ll take empirical observation… especially observation confirmed by others and that accurately predicts other observations.

The Dunning-Kruger effect is so obvious when talking with parents about teaching.

One thing I learned during 35 years in education: it’s almost impossible to differentiate those who did well in prerequisites from those who did not by looking at current performance.

I am increasingly adopting a positivist approach to life.

“I know lots of people who…” isn’t evidence.

The sense that you know something can be the biggest impediment to actually learning it.

Does anyone else notice the claims “you can do this with AI” are things we have been able to do without AI for some time?

Ignorance is not nearly the problem that the illusion of knowledge is.

Data/driven folks always assume their interventions caused every “positive” change (no matter how minute).

Can we draw any conclusions (as educators) from the observation that cave paintings are dominated by prey and predators?

“Budgets are moral documents” is the most accurate thing I’ve heard recently.

If your classroom protocols are not faded, then they are not working.

Learning is an interesting phenomenon. How it proceeds depends 100% on the learner *and* 100% on the teacher/ coach/ mentor.

Data/driven folks always assume their interventions caused every “positive” change (no matter how minute).