Mark and Chance talk about ways to make workshops more accessible to teachers, given the limited amount of time we all have in the summertime. They talk about CESAME at Cal Poly, which works to recruit more science and math teachers for K12 education. They talk about how AI may impact modeling classrooms, including some ideas he has about how to use the power of AI to get to the physics principles, even in high school, that are usually pushed until students have 2-3 years of college math.

Guest

Chance Hoellwarth, a professor of physics at California Polytechnic State University (Cal Poly), serves as the director of Cal Poly’s Center for Engineering, Science, and Mathematics Education. This center’s primary focus is on recruiting STEM teachers and providing support to inservice K-12 science teachers. One of their initiatives is organizing Modeling Workshops in biology, chemistry, and physics every summer.

 

Highlights

[5:24] Chance Hoellwarth "It's so much easier to edit than to pull from scratch."

[26:23] Chance Hoellwarth, on letting AI do some of the complicated data analysis to let students "see" the physics: "it's about the physics. How do we get to the physics more and not all the calculations we need to do to do the physics kind of thing."

Resources

Ep 71 Transcript

CESAME Website