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When & Where
Schedule: 
Fridays, 5:00-8:00pm, first meeting on September 8
Location: 
Barrows 356: Convening Room
Description

Are you interested in developing quantitative and qualitative research skills as a researcher on inclusive teaching?

Led by Andrew Estrada Phuong and Judy Nguyen, the Design for Equity Lab (D4E Lab) examines how adaptive learning environments and organizational practices can enhance equity. The D4E Lab employs quantitative and qualitative research methods to address a variety of research questions regarding equity, access, and inclusion.

In the D4E Lab working group, you will engage in quantitative and qualitative data analysis. You will learn how to use statistical and data visualization software, such as Stata. Using randomized control trials, we’re studying how adaptive equity-oriented pedagogies and non-adaptive pedagogies impact the following outcomes in higher education:

  • student achievement

  • stereotype threat

  • psychosocial outcomes (e.g., motivation, sense of self-efficacy, sense of belonging, etc.)

  • growth mindsets

  • academic trajectories

  • persistence

Controlling for multiple intersectional identities, our goal is to identify high-impact teaching practices that benefit all students, especially those from low-income, underrepresented, and marginalized backgrounds. This research will inform innovations in teaching and instructor professional development on campus and beyond! We are actively working with Fabrizio Mejia and Marcos A. Ramos from the Division of Equity and Inclusion and Dr. Richard Freishtat, the Director of UC Berkeley’s Center for Teaching and Learning.

This research group assumes little-to-no prior knowledge and is definitely open to researchers who have never taken statistics in their life!

If you would like more information, please email aphuong@berkeley.edu. Some of the D4E Lab’s core research areas include teaching and learning, organizational learning, faculty development, and student success programs.

Details
D-lab Facilitator: 
Claudia von Vacano
Participant Technology Requirement: 
Laptop (optional)