Brendan A. Schuetze, Ph.D.
Assistant Professor, University of Utah
[CV] [Google Scholar] [ORCiD]
Summer 2025 Update: Graduate Student Recruitment and Summer Conferences
I am recruiting graduate students to the Learning & Cognition Program within Utah's Educational Psychology department to work on research projects that push the boundaries of educational psychology through the use of advanced statistical and computational methods. I am also interested in recruiting undergraduate research assistants. Email me to learn more!
I will be presenting my work this summer at a variety of conferences, some remote and some in-person. If you're attending any of the following, please reach out if you'd like to grab coffee!
- April: AERA 2025 (in-person)
- July: CogSci 2025 (remote)
- July: Learning@Scale 2025 (?)
- August: APA 2025 (in-person)
Howdy, I'm Brendan. 🤠
I'm a learning scientist, using formal modeling, experiments (in-lab and in the classroom), and survey data to better understand how and why we learn.
My ongoing research has focused on using computational models to better anticipate where, when, and how learning strategy and motivational interventions might be tailored for different individual, technological, and school contexts.
Through these efforts, I aim to develop the contextually rich intervention theory needed to support the creation of effective and equitable educational environments.
Here are some of my recent papers to get a sense of this work:
von Hippel, P. T. & Schuetze, B. A. (2025). How not to fool ourselves about heterogeneity of treatment effects. Advances in Methods and Practices in Psychological Science, 8(2). https://doi.org/10.1177/25152459241304347
Schuetze, B. A. (2024). A computational model of school achievement. Educational Psychology Review 36, Article 18. https://doi.org/10.1007/s10648-024-09853-6
* Editor's Choice * Yan, V. X., & Schuetze, B. A. (2023). What is meant by “growth mindset”? Current theory, measurement practices, and empirical results leave much open to interpretation: Commentary on Macnamara and Burgoyne (2023) and Burnette et al. (2023). Psychological Bulletin, 149(3-4), 206–219. https://doi.org/10.1037/bul0000370
Schuetze, B. A., & Yan, V. X. (2022). Optimal learning under time constraints: Empirical and simulated trade‐offs between depth and breadth of study. Cognitive Science, 46(4), e13136. https://doi.org/10.1111/cogs.13136* Editor's Choice * Yan, V. X., & Schuetze, B. A. (2022). Not just stimuli structure: Sequencing effects in category learning vary by task demands. Journal of Applied Research in Memory and Cognition 11(2), 218-228. https://doi.org/10.1016/j.jarmac.2021.09.004
In my free time, you can find me drawing up plans for the heterogeneity revolution. I grew up primarily in Lancaster (PA), but have called many places home including Hanover (NH), Austin (TX), and Potsdam, Germany.