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Jing Huang (黄婧)

Ph.D. Candidate · Educational Psychology & Research Methodology

Department of Educational Studies, Purdue University

Email / Scholar / GitHub / LinkedIn / ORCID

I am a Ph.D. candidate in Educational Psychology and Research Methodology at Purdue University, working under the guidance of Professor Hua-Hua Chang.

My research focuses on the continuous, dynamic monitoring of live test administration, closing the loop between test security and psychometric maintenance. My work spans three directions (click each to see the related publications):

🚨 Real-Time Examinee Monitoring
Securing test integrity by using process data to detect aberrant testing patterns and unauthorized AI assistance as they happen.
🔍 Real-Time Item Supervision
Ensuring continuous measurement precision by actively tracking item parameter drift and detecting compromised test content in live testing environments.
♻️ Real-Time Pool Replenishment
Building "self-healing" item banks through online calibration, Automatic Item Generation (AIG), and LLM-driven similarity analysis to instantly replace exposed items.

My research has been recognized and supported by the Ross Fellowship (2023–2026, 2027–2028) and the ETS Harold Gulliksen Psychometric Research Fellowship (2026–2027).

News

  • [2026.06] I have started my 2026 summer internship as a Psychometric Research Intern at the National Commission on Certification of Physician Assistants (NCCPA).
  • [2026.05] I received the ETS Harold Gulliksen Psychometric Research Fellowship (2026–2027).
  • [2026.04] My poster was selected as a winner of the Graduate Student Works-in-Progress eBoard Competition at the 2026 NCME Annual Meeting in Los Angeles.

Selected Publications

  1. huang_adaptive_under_review.png
    Adaptive CUSUM Charts for Real-Time Detection of Item Parameter Drift in CD-CAT
    Jing Huang, and Hua-Hua Chang
    Psychometrika, 2026
    Major revision
  2. huang_cognitive_under_review.png
    A Cognitive Design System Approach to Enhancing Cognitive Alignment and Difficulty Control in Gen-AI Item Generation
    Jing Huang, and Hua-Hua Chang
    Applied Measurement in Education, 2026
    Major revision
  3. huang_dualdim_under_review.png
    A Dual-Dimensional LLM Framework for Automated Item Incidental Content Similarity Analysis in Large-Scale Assessments
    Jing Huang, Jihong Zhang, and Hua-Hua Chang
    Applied Measurement in Education, 2026
    Under review
  4. huang2025two.png
    Two-phase Content-balancing CD-CAT Online Item Calibration
    Jing Huang, Yuxiao Zhang, Jason W. Morphew, Jayson M. Nissen, Ben Van Dusen, and Hua-Hua Chang
    Journal of Educational Measurement, 2025
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Selected Honors & Awards

  • ETS Harold Gulliksen Psychometric Research Fellowship, 2026
  • Psychometric Society Vector Travel Award, 2025
  • Ross Fellowship, Purdue University, 2023
  • National Scholarship, 2022
  • Outstanding Student, 2022
  • Shu Qing Encouragement Scholarship, 2021
  • The Third Prize in the Contemporary Graduate Statistical Contest in Modeling, 2020
  • The Second Prize in the COVID-19 Data Analysis Contest, 2020
  • National Encouragement Scholarship, 2019
  • The Third Prize for the Contemporary Undergraduate Statistical Contest in Modeling, 2019
  • Shanghai Popular Science Education Innovation Award, 2019
  • The Meritorious Winner in the Interdisciplinary Contest in Modeling (ICM), 2019

Recent Professional Services

Journal Reviewer
• Journal of Computerized Adaptive Testing (2025)
• Psychometrika (2025, 2026)
Conference Reviewer
• 2026 NCME Artificial Intelligence in Measurement and Education Conference (AIME–Con)
– AIME-Con Paper/Poster Session Review Module (5 proposals)
– AIME-Con Innovation Demonstration Review Module (2 proposals)