Huanxiao Wang


Fixing paper assignments

  1. Please select all papers that belong to the same person.
  2. Indicate below which author they should be assigned to.
Provide a valid ORCID iD here. This will be used to match future papers to this author.
Provide the name of the school or the university where the author has received or will receive their highest degree (e.g., Ph.D. institution for researchers, or current affiliation for students). This will be used to form the new author page ID, if needed.

TODO: "submit" and "cancel" buttons here


2025

pdf bib
Exploring the Psychometric Validity of AI-Generated Student Responses: A Study on Virtual Personas’ Learning Motivation
Huanxiao Wang
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers

This study explores whether large language models (LLMs) can simulate valid student responses for educational measurement. Using GPT-4o, 2000 virtual student personas were generated. Each persona completed the Academic Motivation Scale (AMS). Factor analyses(EFA and CFA) and clustering showed GPT-4o reproduced the AMS structure and distinct motivational subgroups.
Search
Co-authors
    Venues
    Fix data