Andrew Ho

About

Andrew Ho is the Charles William Eliot Professor of Education at the Harvard Graduate School of Education. He is a psychometrician whose research aims to improve the design, use, and interpretation of test scores in educational policy and practice. Ho is known for his development of methods for measuring educational progress and educational inequality. He is a developer of a national archive of student achievement data (SEDA) and advocates for using educational tests for low-stakes monitoring in multiple-measures systems. Ho has served as the Immediate Past President of the National Council on Measurement in Education, a trustee of the Carnegie Foundation for the Advancement of Teaching, and a member of the Governing Board for the National Assessment of Educational Progress. He also serves on Technical Advisory Committees advising state testing programs for seven states. At HGSE, he teaches courses in statistics and psychometrics and advises students in various education policy and evaluation programs. Ho holds a Ph.D. in Educational Psychology and an M.S. in Statistics from Stanford University. Before his academic career, he taught middle school creative writing in Honolulu, Hawaii, and high school Physics and AP Physics in Ojai, California.

Research topics

• Medicine
• Computer science
• Statistics
• Psychology
• Mathematics education

Selected publications

• Critical digital literacy as method for teaching tactics of response to online surveillance and privacy erosion

  Computers & composition/Computers and composition · 2021-07-28 · 43 citations

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  PublisherDOI

• Measuring the quality of teaching practices in primary schools: Assessing the validity of the Teach observation tool in Punjab, Pakistan

  Teaching and Teacher Education · 2020-08-14 · 34 citations

  articleOpen access

  Monitoring the quality of teaching practices of primary school teachers in low-and-middle-income countries is often hampered by the lack of freely available classroom observation tools that are feasible to administer, validated in their own setting, and can be used as part of national monitoring systems. To address this discrepancy, Teach, an open-access classroom observation tool, was developed to measure the quality of teaching practices of primary school teachers in low-and-middle-income coun…

  PublisherDOI

• Foundational Competencies in Educational Measurement

  Educational Measurement Issues and Practice · 2023-10-17 · 22 citations

  articleOpen access

  Abstract This article presents the consensus of an National Council on Measurement in Education Presidential Task Force on Foundational Competencies in Educational Measurement. Foundational competencies are those that support future development of additional professional and disciplinary competencies. The authors develop a framework for foundational competencies in educational measurement, illustrate how educational measurement programs can help learners develop these competencies, and demonstra…

  PublisherOA PDFDOI

• Heterogeneity of Item-Treatment Interactions Masks Complexity and Generalizability in Randomized Controlled Trials

  Journal of Research on Educational Effectiveness · 2024-07-10 · 13 citations

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  PublisherDOI

• Artificial Intelligence and Educational Measurement: Opportunities and Threats

  Journal of Educational and Behavioral Statistics · 2024-05-09 · 8 citations

  article1st authorCorresponding

  I review opportunities and threats that widely accessible Artificial Intelligence (AI)-powered services present for educational statistics and measurement. Algorithmic and computational advances continue to improve approaches to item generation, scale maintenance, test security, test scoring, and score reporting. Predictable misuses of AI for these purposes will result in biased scores, construct underrepresentation, and differential impact over time. Recent efforts to develop standards for AI u…

  PublisherDOI

Frequent coauthors

• Justin Reich

  Massachusetts Institute of Technology

  66 shared

• Isaac L. Chuang

  60 shared

• Jim Waldo

  58 shared

• Daniel Seaton

  34 shared

• Sergiy Nesterko

  Harvard University Press

  30 shared

• Tommy Mullaney

  Sema4 (United States)

  29 shared

• Sean F. Reardon

  Stanford University

  10 shared

• Christina Ha

  10 shared

Labs

• Harvard Graduate School of EducationPI

Awards & honors

• Elected to the American Academy of Arts and Sciences (2026)

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