If someone claims to be an “innovator,” but then describes how they have implemented similar solutions in different places, they are probably not.

“I want my students to be like me,” is an indication you misunderstand being a

“I’m an expert in one narrow field, therefore I can make sound decisions about everything.” Yeah... no.

Has anyone else “discovered” that good teaching is good teaching regardless of the age of the students or the nature of the curriculum.

A boss who tells me to “stay in your lane” while also encouraging “inclusive decision-making” can be sure I have begun a job search.

I always smile when I read a book on “innovation” that is maybe three years old and see the examples of “world changing companies” that are now gone. It reminds me that the best ideas and organizations continually adapt.

Fast creation of things that matter for many is rare. -David Edwards

"Garbage in, garbage out" is a core truth in data analytics. Messy, incomplete, or wrong data leads to inaccurate, useless results. No fancy tools can fix bad ingredients for your d ta.

Humans have been offloading cognitive load for a long time. It is what we do with the cognition that remains that matters.

All of those things that make learning easier... none work. Learning is hard work.

LLMs may reduce immediate cognitive load but simultaneously diminish critical thinking and lead to decreased engagement in deep analytical processes.

How much of is really just the ability to score well in arbitrary tests?

A list of links isn’t really useful. Cull them... give them context... state strengths and limitations.

If your answer doesn’t start with “It depends,” you don’t really understand the problem.

“New and improved” has been dubious since the 1970’s (for me anyways). It is more obviously false when applied to software updates than for any other type of product in the last 40+ years.

Successful develops as we help ask specific questions... just like we do in face-to-face classrooms.

“I don’t understand it, therefore it is false.” Yeah... when I hear that in , I slowly back away.

The number of “data driven leaders” who cannot interpret different types of distributions is distressing.

“I didn’t measure what I thought I would, so I must have measured wrong,” is a conclusion that is too commonly drawn.

Show older
Qoto Mastodon

QOTO: Question Others to Teach Ourselves
An inclusive, Academic Freedom, instance
All cultures welcome.
Hate speech and harassment strictly forbidden.