About

Alex J Bowers is a Professor of Education Leadership at Teachers College, Columbia University, where he works to help school leaders use the data that they already collect in schools in more effective ways to help direct the limited resources of schools and districts to specific student needs. His research focuses on the intersection of effective school and district leadership, organization and HR, data driven decision making, student grades and test scores, student persistence and dropouts. His work also considers the influence of school finance, facilities, and technology on student achievement. Professor Bowers studies these domains through the application of data science and big data analytics, such as data visualization analytics, multilevel and growth mixture modeling, and cluster analysis heatmap data dashboards. He earned his Ph.D. in K-12 Educational Administration from Michigan State University, and prior to teaching and education research, spent a decade as a cancer researcher in the biotechnology industry, with a M.S. in Biochemistry, Microbiology, and Molecular Biology, and a B.S. in Biochemistry. He is a recipient of multiple awards, including the AERA Emerging Scholar Award for Division A and the UCEA Jack A. Culbertson Award for outstanding early faculty research, both in 2012. Professor Bowers is an affiliate of the Data Science Institute at Columbia University, launched the first course in applied data science at Teachers College, and serves as a faculty advisor to the Harvard Strategic Data Project. He is also an associate editor and serves on the editorial boards of prominent education journals. His research has been funded by organizations such as the NSF, The Wallace Foundation, and the Robertson Foundation. In 2019, he served as a Thomas J. Alexander Fellow at the OECD headquarters in Paris, France.

Research topics

• Sociology
• Psychology
• Social psychology
• Computer Science
• Pedagogy
• Medical education
• Mathematics education

Selected publications

• Relief or displacement? How teachers are negotiating generative AI's role in their professional practice

  2026-04-13 · 1 citations

  preprintOpen access

  As generative AI (genAI) rapidly enters classrooms, accompanied by district-level policy rollouts and industry-led teacher trainings, it is important to rethink the canonical “adopt and train” playbook. Decades of educational technology research show that tools promising personalization and access often deepen inequities due to uneven resources, training, and institutional support. Against this backdrop, we conducted semi-structured interviews with 22 teachers from a large U.S. school district that was an early adopter of genAI. Our findings reveal the motivations driving adoption, the factors underlying resistance, and the boundaries teachers negotiate to align genAI use with their values. We further contribute by unpacking the sociotechnical dynamics—including district policies, professional norms, and relational commitments—that shape how teachers navigate the promises and risks of these tools.

  PublisherDOI

• Beyond Single Perspectives: Response Surface Analysis of Distributed Leadership Congruence and Teacher Satisfaction

  Leadership and Policy in Schools · 2026-02-02 · 2 citations

  articleSenior author
  PublisherDOI

• A Logic Model for Designing Actionable Data Dashboards Using Bloom's Taxonomy

  Open MIND · 2026-01-01

  articleOpen access

  This repository contains the supplemental materials for the IEEE VIS 2026 short paper submission, namely, a reproducible HTML R Markdown file which contains the open-source code, data wrangling steps, and visualization logic for both data visualizations shared in the paper.

  PublisherOA PDFDOI

• Online Supplement 9 Appendix for Bowers et al. (2025) Mapping Public Open Access K-12 State Education Indicator Data Across 7 States and Washington D.C. Using the FAIR Data Principles: Data Dictionary v1.3 Metadata Megatable

  Columbia Academic Commons (Columbia University) · 2025-12-11

  datasetOpen access1st authorCorresponding
  PublisherDOI

• Online Supplement 6 Appendix for Bowers et al. (2025) Mapping Public Open Access K-12 State Education Indicator Data Across 7 States and Washington D.C. Using the FAIR Data Principles: Oregon v1.3 Metadata Megatable

  Columbia Academic Commons (Columbia University) · 2025-12-11

  datasetOpen access1st authorCorresponding
  PublisherDOI

• Online Supplement 10 Appendix for Bowers et al. (2025) Mapping Public Open Access K-12 State Education Indicator Data Across 7 States and Washington D.C. Using the FAIR Data Principles: Interrater Reliability Tracker Data

  Columbia Academic Commons (Columbia University) · 2025-12-11

  datasetOpen access1st authorCorresponding
  PublisherDOI

• Data Science in Education Administration, Policy, and Practice

  2025-07-17

  book-chapter1st authorCorresponding
  PublisherDOI

• Online Supplement 5 Appendix for Bowers et al. (2025) Mapping Public Open Access K-12 State Education Indicator Data Across 7 States and Washington D.C. Using the FAIR Data Principles: Ohio v1.3 Metadata Megatable

  Columbia Academic Commons (Columbia University) · 2025-12-11

  datasetOpen access1st authorCorresponding
  PublisherDOI

• Mapping Public Open Access K-12 State Education Indicator Data Across 7 States and Washington D.C. Using the FAIR Data Principles

  Columbia Academic Commons (Columbia University) · 2025-12-11

  articleOpen access1st authorCorresponding
  PublisherDOI

• Online Supplement 11 Appendix for Bowers et al. (2025) Mapping Public Open Access K-12 State Education Indicator Data Across 7 States and Washington D.C. Using the FAIR Data Principles: Social Network Analysis Visualizations and Code

  Columbia Academic Commons (Columbia University) · 2025-12-11

  otherOpen access1st authorCorresponding
  PublisherDOI

Recent grants

• BIGDATA: EAGER: Using Big Data to Investigate Longitudinal Education Outcomes through Visual Analytics

  NSF · $300k · 2015–2018

Frequent coauthors

• Angela Urick

  Baylor University

  8 shared

• Jared Boyce

  SRI International

  6 shared

• Matthew Militello

  East Carolina University

  5 shared

• Tommaso Agasisti

  5 shared

• Richard Halverson

  University of Wisconsin–Madison

  5 shared

• Ryan S. Baker

  4 shared

• Andrew E. Krumm

  Michigan United

  4 shared

• Bruce G. Barnett

  4 shared

Education

• Ph.D., Educational Administration

  Michigan State University

  2007

• M.S., Molecular Biology, Biochemistry & Microbiology

  The Pennsylvania State University

  1997

• B.S., Biochemistry; Secondary Major: Chemistry

  Michigan State University

  1994

Awards & honors

• AERA Emerging Scholar Award for Division A (2012)
• UCEA Jack A. Culbertson Award for outstanding early faculty…
• Outstanding Reviewer of the Year for the American Educationa…
• Outstanding Reviewer of the Year for the Educational Adminis…
• Outstanding Reviewer of the Year for the Journal of Educatio…