Faculty Development Courses on AI: Introducing the Faculty AI Capability Selection Framework

Authors

• Dan R. Bradbury, Western Carolina UniversityFollow
• Barbara Jo White, Western Carolina UniversityFollow
• H. Kevin Fulk, Western Carolina UniversityFollow
• Raymond Large, Western Carolina UniversityFollow

Abstract

University faculty members are faced with how to best address pressing needs for building artificial intelligence (AI) skills.  Some of these needs are student-focused, as employers seek graduates with useful AI skills.  Faculty members, understanding how generative AI can impact the work they do, also face pressures to enhance their own skills and comfort using AI tools.  In this article, we consider AI capabilities that are impacting organizations’ expectations for new college graduates as well as AI capabilities changing the shape of faculty members’ work.  We propose the Faculty AI Capability Selection Framework as a means to guide the development of future AI courses. This framework was developed in tandem with a Spring 2026 course to enhance faculty members’ AI skills to support their teaching and research. The insights that this framework incorporates make it a helpful starting point for those seeking to develop future AI courses that can provide faculty members with both conceptual and hands-on experience.

Recommended Citation

Bradbury, Dan R.; White, Barbara Jo; Fulk, H. Kevin; and Large, Raymond (2026) "Faculty Development Courses on AI: Introducing the Faculty AI Capability Selection Framework," Southwestern Business Administration Journal: Vol. 23: Iss. 1, Article 4.
Available at: https://digitalscholarship.tsu.edu/sbaj/vol23/iss1/4