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

arXiv 2511.07451 ↗First posted 5 Nov 2025cs.CY cs.AIcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 2 of its 15 references that are in the map. First posted on arXiv 5 Nov 2025.

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References · 2

  1. 2022Out of One, Many: Using Language Models to Simulate Human Samplescited by 737
  2. 2024Leveraging LLM-Respondents for Item Evaluation: a Psychometric Analysiscited by 31

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