Knowledge Resource · Open access
Research Summary: External support and university faculty's AI-TPACK: a serial mediation model of perceived ease of use, perceived usefulness, and behavioral intention
- 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
- 22 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 among 593 university faculty in China investigated the relationship between external support and faculty's self-reported AI-enhanced Technological Pedagogical Content Knowledge (AI-TPACK). It leveraged the Technology Acceptance Model (TAM) to examine how perceived ease of use, perceived usefulness, and behavioral intention to use AI mediate this relationship, indicating critical factors for successful AI integration in academia.
Why it matters
The successful integration of artificial intelligence into educational practices is crucial for maintaining academic competitiveness and preparing future generations. Understanding the factors that drive faculty adoption of AI technologies, such as external support and perceived utility, enables institutions to develop effective strategies for technological advancement and pedagogical innovation.
Key insights
- The study explored the association between external support and university faculty's self-reported AI-TPACK.
- The research utilized the Technology Acceptance Model (TAM) and AI-TPACK frameworks.
- Perceived ease of use (PEOU), perceived usefulness (PU), and behavioral intention to use AI (BI) were examined as serial mediators.
- The study involved a cross-sectional survey of 593 university faculty members in China.
- Exploratory and confirmatory factor analyses, followed by structural equation modeling, were used for evaluation.
Source
Frontiers in Education — https://www.frontiersin.org/articles/10.3389/feduc.2026.1923624
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- Verification ID
- ASA-EXE-2026-00186
- Version
- v1.0 · r0
- Issued
- 7 September 2026
- Resource prepared by
- Aziz Shuaib Ausi
- Resource status
- Research Summary / Knowledge Resource
- Underlying work
- External support and university faculty's AI-TPACK: a serial mediation model of perceived ease of use, perceived usefulness, and behavioral intention
- 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.