Campus Location

Dallas Campus (Online)

Date of Award

12-2025

ORCID

https://orcid.org/0009-0008-9876-1831

Document Type

Dissertation

Department

Organizational Leadership

Degree Name

Doctor of Education

Committee Chair or Primary Advisor

Andrew Lumpe

Second Committee Member or Secondary Advisor

Misty Resendez Woods

Third Committee Member or Committee Reader

James Prather

Abstract

Higher education institutions are navigating the benefits and challenges of generative AI chatbot use and preparing faculty and students to engage with these tools ethically and responsibly. The problem is that there are many challenges and barriers to using these technologies in higher education, and Christian higher education institutions must also address context-specific considerations regarding mission and vision rooted in biblical faith and practice. The purpose of this quantitative, nonexperimental, cross-sectional study using confirmatory factor analysis and multiple regression through structural equation modeling was to examine faculty perceptions of AI chatbots and how Christian religiosity moderates acceptance. An online survey was distributed and administered to faculty at Church of Christ universities. The sample size included 212 faculty from six universities. The theoretical framework for this study is the artificial intelligence device use and acceptance model adapted with the Faith Maturity Scale. The data and structural equation model were analyzed using SPSS and Julius.ai. It was found that performance expectancy through cognitive attitude (b = 0.766, p = .000) was the strongest pathway to chatbot acceptance, while effort expectancy through cognitive attitude (b = 0.255, p = .000) and affective attitudes (b = 0.277, p = .000) also positively predicted acceptance. Horizontal religiousness significantly dampened the effect of cognitive attitude on chatbot acceptance (b = -0.136; p = .049). Administrators at Church of Christ universities should develop policies, guidance, and training that address the impacts of performance and effort expectancy and cognitive and affective attitudes on the chatbot acceptance. They should also address the impact of horizontal religiousness on cognitive attitudes toward AI chatbot acceptance.

Keywords: AIDUA, artificial intelligence device use acceptance model, AI chatbots, Christian religiosity, faith maturity, higher education

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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