Submitting Campus
Worldwide
Department
Aeronautics
Document Type
Presentation without Video
Publication/Presentation Date
5-11-2026
Abstract/Description
As artificial intelligence transforms aviation, aerospace, and autonomy-related sectors, higher education must adapt to meet evolving workforce demands. This session shares emerging findings from a nationwide study led by Embry-Riddle Aeronautical University, focused on employer perceptions of AI adoption, responsible use, and workforce preparedness in domains including uncrewed systems, space systems, robotics, and advanced air mobility. Based on a structured survey and follow-up interviews, the presentation explores how organizations are using AI tools, from generative platforms to enterprise systems, and defining effective and inappropriate use in operational contexts. Participants will gain insight into critical concerns (e.g., data privacy, compliance, security, and workforce displacement), along with the growing need for secure, enterprise-controlled “walled garden” AI environments. The session also examines how employers assess job readiness in recent graduates, highlight skill gaps, and prioritize training in areas such as AI ethics, prompt engineering, and system integration. These findings inform curriculum development and re-skilling strategies to align education with real-world needs.
Sponsorship/Conference/Institution
Association for Uncrewed Vehicle Systems International (AUVSI) 2026 XPONENTIAL Conference
Location
Detroit, MI, USA
Grant or Award Name
This research was partially supported by the Embry-Riddle Aeronautical University Faculty Research Development Program; in relation to the Transforming Online Education: Integrating AI-Enhanced Tools for Personalized Learning and Dynamic Content Delivery project. The collaboration that led to the publication and presentation of this work received support from the Embry-Riddle Aeronautical University–Worldwide Research Scholars Program (supported by NSF #2315560).
Scholarly Commons Citation
Terwilliger, B., & Faraca, J. (2026). Meeting the Moment with AI-Employer Informed Education. Retrieved from https://commons.erau.edu/publication/2481
Included in
Aerospace Engineering Commons, Artificial Intelligence and Robotics Commons, Aviation and Space Education Commons, Aviation Safety and Security Commons, Business Administration, Management, and Operations Commons, Commercial Space Operations Commons, Curriculum and Instruction Commons, Cybersecurity Commons, Data Science Commons, Educational Technology Commons, Higher Education Commons, Higher Education and Teaching Commons, Management and Operations Commons, Online and Distance Education Commons, Robotics Commons, Systems Science Commons, Training and Development Commons