Diffusion of Virtual Reality (VR) and Artificial Intelligence (AI) Innovations in Career Centers: Perceptions of Acceptability, Appropriateness, and Expected Feasibility of Implementation

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dc.contributor.author Culbertson, Phenix Joseph
dc.date.accessioned 2025-06-04T17:17:16Z
dc.date.available 2025-06-04T17:17:16Z
dc.date.issued 2025-05-20
dc.identifier.other 0386ae75-0459-4a20-bcff-7d054bef0dc8 en_US
dc.identifier.uri https://hdl.handle.net/10428/7442
dc.description.abstract This dissertation explores career center leaders' perceptions of integrating virtual reality(VR) and artificial intelligence (AI) technologies for job and internship interview training. Grounded in Rogers' (2003) Diffusion of Innovations theory, the study examines how higher education institutions can adopt these innovations to address challenges of providing scalable, “high-touch” experiences in career services. The study uses quantitative and qualitative analyses to investigate the acceptability, appropriateness, and expected feasibility of VR and AI implementation in career centers. The research team collected data from nine career center leaders representing diverse higher education institutions. The analysis examines the influence of institutional characteristics, such as public versus private institutions and centralized versus decentralized career center models, on perceptions of technology adoption through univariate, bivariate, and multivariate analyses. Although the small sample size limits statistical significance, the findings provide valuable qualitative insights into the nuanced perceptions of career center leaders. The results show that career center leaders generally perceive VR and AI as acceptable and appropriate for enhancing interview skills through immersive training simulations. However, participants expressed concerns about feasibility, including resource constraints and staff training needs, which present barriers to adoption. The study identifies strategies such as public-private partnerships and pilot programs as potential solutions. These findings, aligned with trends in public administration emphasizing innovation in service delivery, highlight the importance of transferability over generalizability. The implications extend beyond higher education, suggesting that VR and AI could enhance workforce development programs and contribute to economic development by preparing students for modern job market demands. en_US
dc.format.extent 1 electronic record. PDF/A document, 197 pages, 13774490 bytes. en_US
dc.format.mimetype application/pdf en_US
dc.language.iso en_US en_US
dc.rights This dissertation is protected by the Copyright Laws of the United States (Public Law 94-553, revised in 1976). Consistent with fair use as defined in the Copyright Laws, brief quotations from this material are allowed with proper acknowledgement. Use of the materials for financial gain with the author's expressed written permissions is not allowed. en_US
dc.subject Artificial intelligence en_US
dc.subject Artificial intelligence--Educational applications en_US
dc.subject Career development en_US
dc.subject Career education en_US
dc.subject College placement services en_US
dc.subject Diffusion of innovations en_US
dc.subject Dissertations, Academic--United States en_US
dc.subject Education, Higher--Administration en_US
dc.subject Educational innovations en_US
dc.subject Educational technology--Evaluation en_US
dc.subject Employment interviewing--Study and teaching en_US
dc.subject Human-computer interaction en_US
dc.subject Job hunting en_US
dc.subject Public administration en_US
dc.subject Technological innovations en_US
dc.subject Virtual reality in education en_US
dc.subject Vocational guidance en_US
dc.title Diffusion of Virtual Reality (VR) and Artificial Intelligence (AI) Innovations in Career Centers: Perceptions of Acceptability, Appropriateness, and Expected Feasibility of Implementation en_US
dc.type Dissertation en_US
dc.contributor.department Department of Political Science of the College of Humanities and Social Sciences en_US
dc.description.advisor Wright, John
dc.description.committee Smith, Matthew
dc.description.committee Lee, Keith
dc.description.degree D.P.A. en_US
dc.description.major Political Science en_US


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