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When & Where
This was a working group Fall 2017 - Fall 2018
Barrows 356: Convening Room

 This was a working group Fall 2017 - Fall 2018 and is no longer active.

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

Directed 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!

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.

Here’s an example publication of our work that is hyperlinked below:

Phuong, A. E., Nguyen, J. & Marie, D. (2017b). Evaluating an adaptive equity-oriented pedagogy: A study of its impacts in higher education. The Journal of Effective Teaching. 17(2), 5-44.


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