Gary Ackerman @garyackerman@qoto.org

More on Learning Styles
https://hackscience.education/2019/03/21/more-on-learning-styles/?utm_source=dlvr.it&utm_medium=mastodon

Any idea can be plausible, but that doesn't mean its true.

Hey folks.... maybe drop the attitude when asking for help.

Legitimate connection to the real world. Let's start here when designing curriculum.

When we think for others.... and maybe money... our thoughts become less valuable to the thinker.

Curriculum for individuals to learn. Curriculum for social thinking. Curriculum for situated cognition. Our students need 'em all.

Students arrive in classrooms with brains that are already adapted to digital media.

Updating UTAUT Instrument
https://hackscience.education/2019/03/21/updating-utaut-instrument/?utm_source=dlvr.it&utm_medium=mastodon

On Declarative Knowledge https://hackscience.net/2024/03/11/on-declarative-knowledge/

Watching #edtech-Using Students
https://hackscience.education/2019/03/14/watching-edtech-using-students/?utm_source=dlvr.it&utm_medium=mastodon

“Let us stop tracking: no student is a winner” don’t you hate it when the evidence does not support your favorite intervention?

Your computer may not do everything better than you, but it remembers way better than you do.

We change as our technology changes. It’s been like that since our species evolved.

Agency is the big question regarding AI it seems. Once it gets it, we are probably in trouble. How will we identify when it does?

Elevator Pitch on John Dewey https://hackscience.net/2024/03/10/elevator-pitch-on-john-dewey/

Schooling experience grounded in the pedagogy and technology designed to prepare students for a print-dominated culture is no longer appropriate.

All of your data contain errors is measurement. If you act like they don't you can't call yourself "data driven."

Many social science (including education) researchers argue that quantitative data have limited usefulness in their field as there are many factors influencing humans’ actions, thus the reduction of human experience and activity to a single number may not fully capture the situation.

The best quantitative data are those gathered in such a manner that the effect being measured is real and the one the researcher claims (internally valid), the same effect could be measured in other populations (externally valid) by other researchers (objective) using other instruments (reliable).

When computing was done on mainframe computers, the user accessed a terminal with limited functionality, and the important processing occurred on a machine hidden from view. We have retunred to that model of computing.