A Validity Threat Framework for Measuring Student Generative AI Use

Olukayode Emmanuel Apata; Yetunde Omoyiwola Fawehinmi; Daniel Olutola Oyeniran; Glory Onize Saidu; Segun Timothy Ajose; Naphtali Onalo; Oluwasegun Matthew Amoniyan

A Validity Threat Framework for Measuring Student Generative AI Use

Olukayode Emmanuel Apata, Yetunde Omoyiwola Fawehinmi, Daniel Olutola Oyeniran, Glory Onize Saidu, Segun Timothy Ajose, Naphtali Onalo, Oluwasegun Matthew Amoniyan

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Abstract

This conceptual paper presents a validity threat framework for measuring students’ GenAI use in higher education. It identifies threats related to construct definition, response processes, self-report bias, policy context, fairness, and score interpretation, offering practical guidance for stronger measurement, assessment, policy, and pedagogy in AI-integrated education.

Anthology ID:: 2026.aimecon-main.25
Volume:: Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
Month:: October
Year:: 2026
Address:: Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
Editors:: Joshua Wilson, Christopher Ormerod, Magdalen Beiting-Parrish
Venue:: AIME-Con
SIG:
Publisher:: National Council on Measurement in Education (NCME)
Note:
Pages:: 230–238
Language:
URL:: https://aclanthology.org/2026.aimecon-main.25/
DOI:
Bibkey:
Cite (ACL):: Olukayode Emmanuel Apata, Yetunde Omoyiwola Fawehinmi, Daniel Olutola Oyeniran, Glory Onize Saidu, Segun Timothy Ajose, Naphtali Onalo, and Oluwasegun Matthew Amoniyan. 2026. A Validity Threat Framework for Measuring Student Generative AI Use. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 230–238, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).
Cite (Informal):: A Validity Threat Framework for Measuring Student Generative AI Use (Apata et al., AIME-Con 2026)
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PDF:: https://aclanthology.org/2026.aimecon-main.25.pdf

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@inproceedings{apata-etal-2026-validity,
    title = "A Validity Threat Framework for Measuring Student Generative {AI} Use",
    author = "Apata, Olukayode Emmanuel  and
      Fawehinmi, Yetunde Omoyiwola  and
      Oyeniran, Daniel Olutola  and
      Saidu, Glory Onize  and
      Ajose, Segun Timothy  and
      Onalo, Naphtali  and
      Amoniyan, Oluwasegun Matthew",
    editor = "Wilson, Joshua  and
      Ormerod, Christopher  and
      Beiting-Parrish, Magdalen",
    booktitle = "Proceedings of the Artificial Intelligence in Measurement and Education Conference ({AIME}-Con): Full Papers",
    month = oct,
    year = "2026",
    address = "Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States",
    publisher = "National Council on Measurement in Education (NCME)",
    url = "https://aclanthology.org/2026.aimecon-main.25/",
    pages = "230--238",
    ISBN = "979-8-9983004-0-0",
    abstract = "This conceptual paper presents a validity threat framework for measuring students' GenAI use in higher education. It identifies threats related to construct definition, response processes, self-report bias, policy context, fairness, and score interpretation, offering practical guidance for stronger measurement, assessment, policy, and pedagogy in AI-integrated education."
}

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%0 Conference Proceedings
%T A Validity Threat Framework for Measuring Student Generative AI Use
%A Apata, Olukayode Emmanuel
%A Fawehinmi, Yetunde Omoyiwola
%A Oyeniran, Daniel Olutola
%A Saidu, Glory Onize
%A Ajose, Segun Timothy
%A Onalo, Naphtali
%A Amoniyan, Oluwasegun Matthew
%Y Wilson, Joshua
%Y Ormerod, Christopher
%Y Beiting-Parrish, Magdalen
%S Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
%D 2026
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-9983004-0-0
%F apata-etal-2026-validity
%X This conceptual paper presents a validity threat framework for measuring students’ GenAI use in higher education. It identifies threats related to construct definition, response processes, self-report bias, policy context, fairness, and score interpretation, offering practical guidance for stronger measurement, assessment, policy, and pedagogy in AI-integrated education.
%U https://aclanthology.org/2026.aimecon-main.25/
%P 230-238

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Markdown (Informal)

[A Validity Threat Framework for Measuring Student Generative AI Use](https://aclanthology.org/2026.aimecon-main.25/) (Apata et al., AIME-Con 2026)

A Validity Threat Framework for Measuring Student Generative AI Use (Apata et al., AIME-Con 2026)

ACL

Olukayode Emmanuel Apata, Yetunde Omoyiwola Fawehinmi, Daniel Olutola Oyeniran, Glory Onize Saidu, Segun Timothy Ajose, Naphtali Onalo, and Oluwasegun Matthew Amoniyan. 2026. A Validity Threat Framework for Measuring Student Generative AI Use. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 230–238, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).