PhD Candidate · UC Berkeley School of Education · On the market 2026–27

Brendan
Henrique

I study how teachers learn to teach computer science, and what shifts when computing is framed as sociopolitical.

My research sits at the intersection of the learning sciences, computer science education, and teacher education. I focus on critically conscious CS education, studying the ways pre-service teachers navigate critical perspectives of computing inside a CS teacher preparation program. My dissertation is chaired by Prof. Michelle Wilkerson at the Berkeley School of Education.

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01

Research Projects

The throughline of my research is the intersection of the learning sciences and computer science education. My dissertation examines how pre-service teachers come to see computing critically. Through research apprenticeships, I have also studied undergraduate introductory data science and computational modeling in science classrooms.

Dissertation

Ideologies, Motivations, and Identities in Critical Computer Science Teacher Education

Committee: Michelle Wilkerson (Chair), Lisa Yan, Thomas Philip · Advanced to candidacy May 2026 · Expected completion May 2027

Project 01 [2022–Present]

Critically Conscious CS Teacher Education

Dissertation Research
Chair: Michelle Wilkerson

I designed, developed, taught, and now research a CS teacher preparation course built around critical perspectives of computing. I trace teachers' sensemaking from pre-service coursework into their own classrooms, with follow-up interviews across their first three years of teaching.

Project 02 [2025–2026]

Social Science Informed Data Science Education

Graduate Student Researcher
P.I. Lisa Yan
(NSF IUSE CUE-T)

This project examines the design and implementation of a social science informed introductory data science course, and the role such courses can play in the undergraduate curriculum. I led a curriculum crosswalk across institutions, conducted classroom observations, observed cross-institutional instructor meetings, and supervised two undergraduate researchers.

Project 03 [2023–2025]

Scientific and Computational Modeling with Data (MoDa)

Graduate Student Researcher
P.I.s Michelle Wilkerson, Tamar Fuhrmann,
Aditi Wagh & Paulo Blikstein
(NSF From Access to Sustainability)

MoDa is a browser-based, block-based platform where students code computational models of scientific phenomena and compare those models against data. I led the design and classroom data collection for the photosynthesis unit ↗.

02

Publications

Peer-Reviewed Journal Articles

Fuhrmann, T., Rosenbaum, L. F., Eloy, A., Wagh, A., Henrique, B., Blikstein, P., & Wilkerson, M. H. (2026). Designing MoDa: A new tool for science learning through data-based computational modeling. International Journal of Child-Computer Interaction, 48, 100819. Link ↗

Conference Proceedings: Papers

Wagh, A., Rosenbaum, L. F., Eloy, A., Fuhrmann, T., Henrique, B., Blikstein, P., & Wilkerson, M. H. (2025). Designing for discourse: Enacting responsive teaching through code reflections in a computational modeling unit [Long paper]. In Proceedings of the 19th International Conference of the Learning Sciences – ICLS 2025 (pp. 377–385). ISLS. Link ↗

Henrique, B. (2025). Exploring critical CS teacher education program design through a science and technology studies approach [Full paper]. In Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 1 (pp. 478–484). ACM. Link ↗

Henrique, B. (2024). “An act of a revolution”: Critical learning trajectories in a pre-service teacher computer science course [Short paper]. In Proceedings of the 18th International Conference of the Learning Sciences – ICLS 2024 (pp. 1802–1805). ISLS. Link ↗

Conference Proceedings: Posters & Extended Abstracts

Henrique, B., Yan, L., Cano Low, F. G., & Arriaga, F. (2026, June). IUSE-CUE: A collaboratively designed, interdisciplinary introduction to computational thinking in data science [Poster, in press]. ASEE Annual Conference & Exposition: NSF Grantee Poster Session, Charlotte, NC.

Fuhrmann, T., Henrique, B., & Blikstein, P. (2026, June). When code shapes scientific language: Speaking photosynthesis in code [Poster, in press]. ISLS Annual Meeting, Irvine, CA.

Henrique, B., & Fischer, K. (2026). A statewide analysis of ethics and social impact in the CS teacher preparation pipeline [Poster]. In Proceedings of the 57th ACM Technical Symposium on Computer Science Education V. 2 (pp. 1355–1356). ACM. Link ↗

Henrique, B. (2024). Exploring K–12 teachers' trajectories of engagement with critically conscious computing [Poster, Graduate Student Research Competition]. In Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 2 (p. 1880). ACM. First place Link ↗

Peer-Reviewed Conference Presentations

Fuhrmann, T., & Henrique, B. (2026, August). From code to chloroplasts: Modeling as a language for mechanistic reasoning in science. In Mechanistic reasoning in biology [Symposium]. ERIDOB, Ljubljana, Slovenia.

Fuhrmann, T., Henrique, B., Eloy, A., Rosenbaum, L. F., Wagh, A., Blikstein, P., & Wilkerson, M. H. (2026, April). From code to chloroplasts: Speaking about photosynthesis through computational modeling [Paper presentation]. NARST Annual International Conference, Seattle, WA.

Henrique, B. (2026, April). Designated identity narratives: Teacher philosophy statements in critical CS education [E-Lightning session]. AERA Annual Meeting, Los Angeles, CA.

Henrique, B. (2024, April). Understanding how elementary school pre-service teachers integrate CS concepts into their teaching practice [Roundtable]. AERA Annual Meeting, Philadelphia, PA.

Fuhrmann, T., & Henrique, B. (2023, October). MoDa: Exploring computational modeling from a constructionist perspective [Workshop]. Constructionism 2023, New York, NY.

Henrique, B., & Whittle, R. (2019, March). Voicing the local: University-community partnerships in the digital age [Conference session]. UC Links International Conference, Berkeley, CA. Link ↗

Book Reviews & Other Publications

Henrique, B., Roberto, C., & Wilkerson, M. H. (2023). Who creates our computational worlds? A review of Critically Conscious Computing: Methods for Secondary Education. International Journal of Child-Computer Interaction, 35, 100546. Link ↗

Henrique, B., Altamirano, D., & Krikorian, M. (2021). The effect of labor differences in charter and traditional public schools on teacher attitudes and beliefs. Graduate Library Research Awards. Loyola Marymount University. Link ↗

Media Coverage

Schwartz, S. (2021, November 23). COVID-19 is a science lesson waiting to happen. Education Week. Link ↗

Johnson, S. (2020, December 15). One more challenge for California teachers in distance learning: All new science curriculum. EdSource. Link ↗

03

Curriculum Vitae

A full record of my research, publications, teaching, awards, and service — last updated July 2026 for the 2026–27 academic job market.

Highlights
2026

SIGCSE Special Projects Grant, sole investigator ($5,000)

2026

ICER Doctoral Consortium

2024

First Place, SIGCSE Graduate Student Research Competition

2025

Single-author full paper published at SIGCSE TS