May 26, 2021
The presentation, entitled “Training Graduate Students in Inclusive and Equitable Teaching,” focused on mathematics graduate teaching assistants and their learning about engaged, inclusive and equitable teaching practices. The project was funded by the National Science Foundation.
“Given how equity and social justice issues have been in the spotlight recently, we are excited to share how we are working to prepare graduate students to teach mathematics in ways that are more engaging, equitable and inclusive. The STEM for All Video Showcase provided us with the opportunity to build connections with others who are engaging in related work.”
Now in its seventh year, the annual showcase featured more than 280 innovative projects aimed at improving science, math, engineering and computer science (CS) education, which have been funded by the National Science Foundation and other federal agencies. During the eight-day event, researchers, practitioners, policy makers and members of the public were invited to view the short videos, discuss them with the presenters online and vote for their favorites.
The theme for this year’s event was “COVID, Equity & Social Justice.” Video presentations addressed broadening participation, impacts of COVID on STEM teaching and learning, design implementation on STEM and CS programs, research informing STEM and CS teaching and learning, and measuring impact of innovative programs. Collectively the presentations covered a broad range of topics including science, mathematics, computer science, engineering, cyberlearning, citizen science, maker spaces, broadening participation, research experiences, mentoring, professional development, NGSS and the Common Core.
Last year’s STEM for All Video Showcase is still being accessed, and to date has had more than 86,000 unique visitors from 180 countries.
The STEM for All Video Showcase was hosted by TERC, in partnership with: STEMTLnet, CADRE, CAISE, CIRCLS, STELAR, CS for All Teachers, NARST, NCTM, NSTA, NSF INCLUDES and QEM. The showcase was funded by a grant from the National Science Foundation.