2026-10-11T07:48:58Z https://data.mendeley.com/oai

oai:data.mendeley.com/gwmd9pp4hx.1 2026-09-24T23:06:56Z

Al-Rahmi, Waleed How Generative AI Affordances Drive Continuous Usage Intention: The Mediating Roles of Self-Expansion and Self-Extension in Higher Education Mendeley Data This study addresses this gap by developing and empirically testing a structural model using Partial Least Squares Structural Equation Modeling (PLS-SEM), based on data collected from 305 higher education students with prior experience using Generative AI applications. The model examines how Generative AI affordances influence continuous usage intention, with particular emphasis on the mediating roles of self-expansion and self-extension. Questionnaire Questionnaire Design Dataset doi:10.17632/gwmd9pp4hx.1 oai:data.mendeley.com/gwmd9pp4hx.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/gwmd9pp4hx 2026-09-24T23:06:56Z