STEM university education has room for improvement.

In collaboration with educators from across the United States, Research On STEM Education (ROSE) is helping to make these improvements in Science, Technology, Engineering and Math (STEM) through evidence-based teaching through educational research.

Learn more about who we are by navigating the tabs above.
Want to be part of the solution? Connect with us through the contact page.

Join Dr. Jeremiah Henning on September 15, 2021 at 12:00 pm (CST)

 
Dr. Henning will lead us in a discussion on 
Subtle Messages, Big Impact: Re-envisioning STEM for ALL through sense of belonging

Empirical evidence overwhelmingly supports the value of implementing active-learning pedagogies (ALPs) to improve student performance, to reduce achievement gaps in under-represented groups, and to enhance well-being and social classroom climate. However, social interactions among peers and instructors may heighten awareness of social differences for students that that identify with marginalized identities, leading to feelings of isolation, reduced sense of belonging, reduced engagement, and reduced performance within ALP courses. Our group tries to understand the student experience in STEM classes through quantitative and qualitative lens in hopes to promote inclusive teaching strategies, to help instructors implement ideological aware course content, and to inform instructor and faculty training opportunities. Our goal is foster a stronger sense of belonging for ALL students in STEM courses.

As always ROSE seminars use the ZOOM platform. Anyone interested in participating remotely in the meeting can access it by going to zoom.us, clicking "Join a Meeting", and entering the meeting code: 924 5637 3078.  You can also join the meeting via smartphone using the free ZOOM app. If you would like to test-drive ZOOM or need the password, please contact Jeff at evolve@uab.edu.

The ROSE network is funded by the following sponsors:

UAB STEM Initiative

The materials on this website are based upon work supported by the National Science Foundation under Grant No. RCN-UBE-1826988.