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Scaling Faculty AI Literacy: Strategic Models for Institutional Transformation and Sustainable Adoption
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Author(s): Ramadevi Vitthal Salunkhe (G.H. Raisoni College of Engineering, Nagpur, India), Chetan Arun Raut (St. Vincent Pallotti College of Engineering and Technology, Nagpur, India), Gunjan Chimote (Ramdeobaba University, Nagpur, India), Shruti Sarwate (Jain University, India), Roshan Ramesh Kolte (K.D.K. College of Engineering, Nagpur, India), Piyush K. Ingole (Yeshwantrao Chavan College of Engineering, Nagpur, India)and Annaji Kuthe (K.D.K. College of Engineering, Nagpur, India)
Copyright: 2026
Pages: 46
Source title:
Empowering Educational Development and Faculty Growth With AI
Source Author(s)/Editor(s): Nathan Pritts (University of Arizona Global Campus, USA)
DOI: 10.4018/979-8-3373-4129-3.ch012
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Abstract
The accelerating integration of artificial intelligence (AI) in higher education is reshaping faculty roles and institutional strategies. Beyond basic tool use, faculty now require multidimensional competencies that include technical proficiency, pedagogical integration, ethical reasoning, and continuous professional growth. This chapter investigates how institutions can scale AI literacy effectively by addressing barriers such as lack of training, time constraints, infrastructural gaps, and policy ambiguity. Drawing on surveys, interviews, and policy analysis, it proposes sustainable models including progressive immersion, peer mentorship, and policy-driven innovation. International case studies demonstrate best practices in tiered learning, ethics integration, and community engagement. The chapter concludes with a phased roadmap and actionable recommendations for administrators, policymakers, and educators to foster systemic, equitable, and responsible AI literacy adoption.
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