Exploring the Psychometric Validity of AI-Generated Student Responses: A Study on Virtual Personas' Learning Motivation

Wang, Huanxiao

arXiv.org Artificial Intelligence 

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 analys es(EFA and CFA) and clustering showed GPT - 4o reproduced the AMS structure and distinct motivational subgroups.

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