Faculty Profiles
Steven C. Beering Hall of Liberal Arts and Education 100 N. University Street West Lafayette Indiana 47907-2098 BRNG 5166work Work Phone: (765) 494-9625work Work Email: chang606@purdue.eduINTERNET Website: Vita
Hua Hua Chang
Charles R. Hicks Chair Professor, Professor of Statistics (Courtesy) Educational Psychology & Research MethodologyEducational Studies
– Profile
+ Education
- Ph.D. — Statistics, University of Illinois at Urbana-Champaign (1992)
- M.S. — Statistics, University of Illinois at Urbana-Champaign (1988)
- Diploma — Mathematics, East China Normal University, Shanghai, China (1980)
+ Experience
- 2021 – present
Professor of Statistics (Courtesy Appointment)
Department of Statistics
Purdue University - 2018 – present
Charles R. Hicks Chair Professor
Department of Educational Studies
College of Education, Purdue University - 2013 – 2017
Director of Confucius Institute
University of Illinois at Urbana-Champaign (UIUC) - 2009 – 2018
Professors of Educational Psychology, Psychology and Statistics
University of Illinois at Urbana-Champaign (UIUC) - 2005 – 2009
Associate Professors of Educational Psychology, Psychology, and Statistics
University of Illinois at Urbana-Champaign (UIUC) - 2001 – 2005
Associate Professor
Department of Educational Psychology
University of Texas, Austin, TX - 1999 – 2001
Senior Psychometrician and Director of Computerized Testing Technological Research
National Board of Medical Examiners, Philadelphia, PA - 1997 – 1998
Associate Professor
Department of Educational Psychology
The Chinese University of Hong Kong, China - 1992 – 1999
Associate Research Scientist and Research Scientist
Division of Statistics and Psychometrics Research
Educational Testing Service, Princeton, NJ
+ Honors
- The 2024 Samuel J. Messick Award for Distinguished Scientific Contributions, APA Division 5
- The 2021 Award for Career Contributions to Educational Measurement, National Council on Measurement in Education (NCME)
- Fulbright Specialist Award (2019), Colombia Fulbright Commission and U.S. Department of State
- Elected Fellow of American Statistical Association (2019)
- The 2017 E. F. Lindquist Award for Contributions to Research in Testing and Measurement, AERA and ACT
- University of Illinois Robert Bohrer Lecture in Statistics, UIUC (2014)
- Commencement Speaker, School of Educational Sciences, East China Normal University, June 16, 2014, Shanghai China
- The 2011 Award for Significant Contribution to Educational Measurement and Research Methodology, AERA–Division D
- Elected Fellow of American Educational Research Association (2010)
- The 2008 Annual Award, National Council on Measurement in Education
- Fulbright Senior Specialist Award (2005), Australian-American Fulbright Commission and U.S. Department of State
+ Research and Publications
Renowned for his groundbreaking research in computerized adaptive testing (CAT), Dr. Chang pioneered innovative algorithms that deliver personalized assessments effectively. In the early 2000s, as exams in the United States transitioned from paper-pencil formats to CAT, numerous intricate technical challenges emerged. During this period, Dr. Chang championed statistically robust solutions to address these complexities. His research played a crucial role in refining industry methods, thereby improving the reliability and efficiency of CAT. By tailoring questions to individual ability and identifying concept mastery, his algorithms paved the way for personalized learning paths. His recent work highlights the promising potential of CAT to provide valuable data for generative AI systems, enabling them to balance detail and brevity in crafting effective learner feedback. Recognized by his peers, Dr. Chang has received awards from prestigious organizations such as AERA, NCME, and APA. He is also a fellow of AERA and ASA.
- Chang, H-H. (2024). Harnessing AI for educational measurement: standards and emerging frontiers. Journal of Educational and Behavioral Statistics. In Press.
- Tang, X., Zheng, Y., Wu, T., Hau, KT, & Chang, H-H. (2024). Utilizing response times for item selection in on-the-fly multistage adaptive testing. Journal of Educational Measurement. DOI: 10.1111/jedm.12403
- Arthur, D. & Chang, H.H. (2023) DINA-BAG: A Bagging Algorithm for DINA Model Parameter Estimation in Small Samples. Journal of Educational and Behavioral Statistics. DOI: 10.3102/ 10769986231188442
- Li, X., Xu, H., Zhang, J., & Chang H-H. (2022). Deep reinforcement learning for adaptive learning system. Journal of Educational and Behavioral Statistics. DOI: 10.3102/10769986221129847.
- Du, Y., Zhang. S., & Chang, H-H. (2022). Compromised item detection: A Bayesian change-point perspective. British Journal of Mathematical and Statistical Psychology. DOI: 10.1111/ bmsp.12286
- Zhu, Z., Arthur, D., & Chang, H-H. (2022). A new person‐fit method based on machine learning in CDM. British Journal of Mathematical and Statistical Psychology. doi.org/10.1111/bmsp.12270.
- Wu, X., Wu, R., Zhang, Y., Arthur, & Chang, H-H. (2021). Research on construction method of learning paths and learning progressions based on cognitive diagnostic assessment. Assessment in Education: Principles, Policy & Practice. DOI:10.1080/0969594X.2021.1978387.
- Chang, H-H., Wang, C., & Zhang, S. (2021). Statistical applications in educational measurement. Annual Review of Statistics and Its Application. doi.org/10.1146/annurev-statistics-042720-104044
- Li, X., Xu, H., Zhang, J., & Chang, H-H. (2021). Optimal hierarchical learning path design with reinforcement learning. Applied Psychological measurement. DOI: 10.1177/0146621620947171
- Wu, X., Chang, H-H. (2021) A comparative study on cognitive diagnostic assessment of mathematical key competencies and learning trajectories — PISA data analysis based on 19, 454 students from 8 countries. Current Psychology. DOI:10.1007/s12144—020-01230-0
+ Courses Typically Taught
- EDPS 63200 — Computerized Adaptive Testing
- EDPS 63200 — Psychometrics with R Programming
- EDPS 63600 — Item Response Theory
- EDPS 53100 — Introduction To Measurement and Instrument Design
- EDPS 63500 — Psychometric Theory and Application
- EDPS 63200 — Seminar In Research Procedures in Education