From Usefulness to Trust: How AI Shapes Learning Attitudes in Higher Education

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Bibliographic Details
Title: From Usefulness to Trust: How AI Shapes Learning Attitudes in Higher Education
Language: English
Authors: Jeranah Jeranah (ORCID 0000-0002-1173-243X), Novian Candra Kurniawan (ORCID 0009-0001-6593-4205), Asdar Ahmad (ORCID 0009-0009-5872-5729)
Source: International Journal of Contemporary Educational Research. 2026 13(1):64-74.
Availability: International Journal of Contemporary Educational Research. e-mail: ijceroffice@gmail.com; Web site: http://ijcer.net
Peer Reviewed: Y
Page Count: 11
Publication Date: 2026
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Artificial Intelligence, Technology Uses in Education, Influence of Technology, Student Attitudes, College Students, Student Satisfaction, Trust (Psychology), Computer Attitudes, Foreign Countries
Geographic Terms: Indonesia
ISSN: 2148-3868
Abstract: This study also investigates the moderating role of artificial intelligence satisfaction and the mediation role of perceived trust in the relationship. The total sample in this study consisted of 145 respondents who were analysed using partial least squares structural equation modeling (PLS-SEM) and bootstrapping procedures with the help of the SmartPLS version 4 application. The results of the analysis show that perceived usefulness does not have a positive and significant relationship with learning attitudes. Contrarily, perceived trust and artificial intelligence satisfaction have a positive and significant relationship with learning attitudes. The next expression, perceived usefulness has a positive and significant effect on perceived trust. Then, in indirect testing, perceived trust successfully functions as a mediator in the relationship between perceived usefulness and learning attitudes, but not with artificial intelligence satisfaction which acts as a weakening factor in the relationship between perceived usefulness and learning attitudes.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1505616
Database: ERIC
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