In Part 1 of this workshop, we
Demonstrated how content and pedagogy are inextricably linked when one thinks about building a GAISE-College report compliant course.
Demonstrated how statistical thinking, statistical investigations, and multivariable thinking can be brought into an introductory course that makes heavy use of simulations in developing inferential reasoning.
In this part of the workshop,
Discuss how these topics and technology approaches look in the modern classroom.
Share strategies for active learning in in-person and online courses (asynchronous and synchronous).
Share examples of approaches to assessment.
Discuss approaches for using and managing AI.
Recap, motivation, and goals
Multivariable thinking (Typing speed, FEV)
Active learning strategies (in-person, online)
Assessment - sample questions
Additional resources:
Join our Google group for updates and info about workshops, resources, and other opportunities
Expanding and assessing the art and practice of statistical thinking (NSF Grant #2235355)
RossmanChance Applet collection
Simulation-Based Inference blog
Statistical Thinking in Undergraduate Biology STUB materials
Statistics TLC (Teaching and Learning Corner) blog
Statistics Teacher: If You Only Have One Hour
Desmos: www.desmos.com
CODAP: https://codap.concord.org/
The Islands*: https://islands.smp.uq.edu.au/register/
Gapminder: https://www.gapminder.org/
CensusAtSchool: https://ww2.amstat.org/censusatschool/