Development and validation of Generative Artificial Intelligence Readiness and Perception (GenAI-RP) Scale for faculty and students in higher education
Abstract This study developed and validated a suite of Generative Artificial Intelligence Readiness and Perception (GenAI-RP) Scale for faculty and students in higher education. Three subscales, including a) Readiness, b) Benefit, and c) Challenge were created based on a review of relevant literature and validated through content experts’ review and confirmatory factor analysis (CFA). The Readiness scale includes three factors: a) GenAI Comprehension, b) Ethical Awareness of GenAI, and c) GenAI Utilization and Proficiency. The Benefit scale consists of two factors: a) Effectiveness and b) Empowerment. Lastly, the Challenge scale has three factors: a) Ethics and Privacy Concerns, b) Negative Educational Impact, and c) Accuracy and Sensitivity. All scales demonstrated a satisfactory model fit for both groups based on CFA, except the challenge scale for faculty.
Authors
- Ji Yae Bong (ORCID: https://orcid.org/0000-0002-7800-5827)
- Beth Allred Oyarzun (ORCID: https://orcid.org/0000-0001-7886-8190)
- Daniel W. Maxwell (ORCID: https://orcid.org/0009-0005-7310-8754)
- Stella Yun Kim (ORCID: https://orcid.org/0000-0002-0562-1071)
Institutions
- University of North Carolina at Charlotte (US)
Publication Details
- Journal
- Educational Technology Research and Development
- Published
- 2026-09-24
- DOI
- https://doi.org/10.1007/s11423-026-10713-z
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00