Knowledge Resource
Research Summary: Development and validation of Generative Artificial Intelligence Readiness and Perception (GenAI-RP) Scale for faculty and students in higher education
- Original authors
- Attribution requires verification
- Original source
- Educational Technology Research and Development
- Summary & Analysis prepared by
- Aziz Shuaib Ausi
- Resource type
- Research Summary / Knowledge Resource
- Resource published on AZIZ OS
- 25 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 developed and validated a Generative Artificial Intelligence Readiness and Perception (GenAI-RP) Scale for use with faculty and students in higher education. This scale, built upon literature review and expert validation, measures three primary dimensions: Readiness, Benefits, and Challenges associated with GenAI, providing structured insights into stakeholder perceptions and preparedness.
Why it matters
This research provides a standardized tool to assess critical stakeholder perspectives and preparedness regarding Generative AI within higher education. Understanding readiness, perceived benefits, and challenges is crucial for institutions to formulate effective strategies for AI integration and mitigate potential risks, ensuring responsible technological advancement.
Key insights
- A Generative Artificial Intelligence Readiness and Perception (GenAI-RP) Scale was developed for higher education faculty and students.
- The GenAI-RP Scale comprises three main subscales: Readiness, Benefit, and Challenge.
- The Readiness subscale includes factors such as GenAI Comprehension, Ethical Awareness of GenAI, and GenAI Utilization and Proficiency.
- The Benefit subscale focuses on Effectiveness and Empowerment aspects of GenAI.
- The Challenge subscale addresses Ethics and Privacy Concerns, Negative Educational Impact, and Accuracy and Sensitivity issues related to GenAI.
- The scale underwent validation through expert review and confirmatory factor analysis (CFA), demonstrating satisfactory model fit across all components.
Source
Educational Technology Research and Development — https://link.springer.com/article/10.1007/s11423-026-10713-z
Related intelligence and resources
Previous
Unveiling the epistemic features and roles of digital tools through epistemic scaffolding
Next
Engagement stability in online learning: can supporting attendance disrupt the Matthew effect?
One programme, multiple countries: find joint study programmes in Europe
Knowledge Resource
Official Statistics: Pupil attendance in schools
Knowledge Resource
Accredited official statistics: Early years foundation stage profile results: 2025 to 2026
Knowledge Resource
Official Statistics: Pupil attendance in schools
Knowledge Resource
Official Statistics: Pupil attendance in schools
Knowledge Resource
Official Statistics: Pupil attendance in schools
Knowledge Resource
Citation
Cite the original work (APA 7)
The original source is authoritative for this citation. Cite the source publication directly — this attribution is pending verification. Open the original source.
Verification
This is an authenticated AZIZ OS resource record.
- Verification ID
- ASA-EXE-2026-00760
- Version
- v1.0 · r0
- Issued
- 25 September 2026
- Resource prepared by
- Aziz Shuaib Ausi
- Resource status
- Research Summary / Knowledge Resource
- Underlying work
- Development and validation of Generative Artificial Intelligence Readiness and Perception (GenAI-RP) Scale for faculty and students in higher education
- Original authors
- Attribution requires verification
- Original source
- Educational Technology Research and Development
- 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.