MDOI Convergence Chronicles 110.1144/CON.2026.01115
110.1144/CON.2026.01115
Article

The impact of adopting AI educational technologies on projected course satisfaction in university students

Nagaletchimee Annamalai, Mohd Elmagzoub Eltahir, Samer H. Zyoud, Deepa Soundrarajan, Bilal Zakarneh, Najeh Rajeh Al Salhi 2024 Convergence Chronicles

Abstract

Artificial Intelligence (AI) applications for education are being developed at an increasing pace. It seems reasonable to assume that these applications would enhance student experiences and course satisfaction, and that therefore educational institutions should invest in these technologies to enhance their student offer. However, this should be tested empirically. In the current study a gender-balanced sample of 302 UK students rated course satisfaction, completed the General Attitudes towards AI Scale (GAAIS), comfortableness with AI educational applications, and course satisfaction if AI educational applications were adopted. Although students were, on average, moderately comfortable with AI educational applications, course satisfaction dropped in response to their hypothetical adoption. AI applications that assigned summative grades or that offered wellbeing support gave rise to the highest levels of discomfort. Students were more comfortable with career support, formative course support, and administrative support. Positive and Negative AI attitudes predicted the satisfaction difference, with mediation via comfortableness with applications. We recommend that Higher Education Institutions exercise caution before making major investments in AI educational applications.

Identifier Metadata

Identifier 110.1144/CON.2026.01115
Canonical mdoi:110.1144/CON.2026.01115
Resolver URL https://mdoi.org/110.1144/CON.2026.01115
Resource URL Open resource
Document URL Open document
Content Type Article
Authors Nagaletchimee Annamalai, Mohd Elmagzoub Eltahir, Samer H. Zyoud, Deepa Soundrarajan, Bilal Zakarneh, Najeh Rajeh Al Salhi
Year 2024
Depositor Convergence Chronicles Organisation
Prefix 110.1144
Registered Aug. 19, 2026
Updated Aug. 19, 2026
Status Active
Visibility Public

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