Daniel Olutola Oyeniran
Author directory2026
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
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
Olukayode Emmanuel Apata | Yetunde Omoyiwola Fawehinmi | Daniel Olutola Oyeniran | Glory Onize Saidu | Segun Timothy Ajose | Naphtali Onalo | Oluwasegun Matthew Amoniyan
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
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.