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Research Summary: Understanding artificial intelligence adoption among university students in South African higher education: a technology acceptance model approach
- Original authors
- Attribution requires verification
- Original source
- Frontiers in Education
- Summary & Analysis prepared by
- Aziz Shuaib Ausi
- Resource type
- Research Summary / Knowledge Resource
- Resource published on AZIZ OS
- 7 September 2026
- Last updated
- 21 September 2026
- Reading time
- 1 min
- Publication type
- Knowledge Resource
- Availability
- Open access
About this Summary & Analysis
AZIZ OS provides independently prepared summaries and analytical interpretations of externally published research and knowledge sources. The underlying works remain attributable to their original authors and rights holders. This resource is intended to improve accessibility and understanding and does not replace the original publication.
A study investigated factors influencing Artificial Intelligence (AI) adoption among university students in South African higher education, using an extended Technology Acceptance Model (TAM). The research aimed to understand associations between perceived usefulness, perceived ease of use, subjective norms, and attitudes towards AI with actual AI use, as well as demographic and academic differences. This indicates a focus on understanding the mechanisms driving technology integration in an educational context.
Why it matters
Understanding the drivers of AI adoption among students is crucial for strategic planning in higher education and technology integration. It informs resource allocation and curriculum development to optimize the benefits of AI for learning and academic productivity.
Key insights
- The study focused on understanding AI adoption among university students within a South African higher education institution.
- It utilized an extended Technology Acceptance Model (TAM) framework.
- Key factors examined included perceived usefulness, perceived ease of use, subjective norms, and attitudes towards AI.
- The research investigated the associations of these factors with actual AI use.
- It also explored differences in AI adoption across various demographic and academic characteristics of students.
- The study employed a quantitative cross-sectional design.
Source
Frontiers in Education — https://www.frontiersin.org/articles/10.3389/feduc.2026.1917699
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- Verification ID
- ASA-EXE-2026-00192
- Version
- v1.0 · r0
- Issued
- 7 September 2026
- Resource prepared by
- Aziz Shuaib Ausi
- Resource status
- Research Summary / Knowledge Resource
- Underlying work
- Understanding artificial intelligence adoption among university students in South African higher education: a technology acceptance model approach
- Original authors
- Attribution requires verification
- Original source
- Frontiers in Education
- Provenance status
- Attribution requires verification
- Rights
- Underlying publication rights remain with the respective copyright holder(s). Refer to the original source for authoritative publication and licensing information.
This verification confirms the AZIZ OS resource record and its documented provenance. It does not establish authorship of the underlying external work.