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Data · dataset · 2026

How Generative AI Affordances Drive Continuous Usage Intention: The Mediating Roles of Self-Expansion and Self-Extension in Higher Education

Listed in Teesside University Research Data Repository

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.

Description

The model examines how Generative AI affordances influence continuous usage intention, with particular emphasis on the mediating roles of self-expansion and self-extension.

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Where it is published

Catalogue records · 1

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Inferred from text
Specialist studies in education 74%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/gwmd9pp4hx.17 d agoJSON v1
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