Jul 2026· International Journal for Educational Integrity· Vol 22· 0 citations· 41 references
TL;DR
A transformative journey from fear and resistance to collaborative innovation is revealed, demonstrating that AI integration, when scaffolded by inclusive design, ethical literacy, and practical application, can enhance faculty agency, curriculum responsiveness, and student engagement.
Abstract
As artificial intelligence (AI) technologies increasingly permeate educational spaces, the need for structured and reflective faculty development becomes critical. This study presents a comprehensive case study of a six-week faculty institute designed to support higher education instructors in thoughtfully integrating AI into their pedagogical practices. Framed by Universal Design for Learning (UDL), Bloom’s Taxonomy, and design thinking methodologies, the institute explored the tensions between innovation and academic integrity while promoting inclusive, critical adoption of AI tools. Drawing on session materials, pre/post surveys, participant reflections, and capstone projects from ten interdisciplinary faculty members, this paper examines the experiences and evolving mindsets of educators navigating AI integration. The findings reveal a transformative journey from fear and resistance to collaborative innovation, demonstrating that AI integration, when scaffolded by inclusive design, ethical literacy, and practical application, can enhance faculty agency, curriculum responsiveness, and student engagement. The study identifies four key themes: shifting from fear to curiosity, the desire for ethical clarity, inclusive design as an equity amplifier, and the evolution of faculty from gatekeepers to guides. However, significant challenges persist around policy clarity, institutional support structures, and AI’s perceived legitimacy in teaching and learning. This case study contributes to emerging scholarship on faculty AI literacy and offers a replicable model for sustainable professional development design in a rapidly evolving technological landscape. The research provides practical implications for institutions seeking to bridge the divide between administrative enthusiasm and faculty skepticism, ultimately arguing that AI in higher education transcends fashion or fantasy to become a reality demanding thoughtful pedagogical engagement. Clinical trial number Not applicable.
This study explored how a higher education educator experienced and made sense of generative artificial intelligence within teaching, peer collaboration, and assessment practices, and identified three superordinate themes, including divergent peer adoption of GenAI, pedagogical adaptation and uncertainty, and assessmen...
Karen K. Fujii, N. Perez· IAFOR Journal of Education· 0 citations
At a time of increasing digital transformation and a global shift in policy regarding the integration of artificial intelligence (AI) into the education sector, it is essential to comprehend the engagement of faculty with new technologies to build equitable, future-ready learning systems. This study set in the interpre...
Jogy Jose, A. Bataineh, Kashif Ali Sabiri et al.· Frontiers in Computer Scienc...· 0 citations
First-year university students’ perceptions of generative AI in academic work are investigated, foregrounding student agency in a Global South context and offering pedagogical and policy implications for responsible AI adoption.
Sharifuzzaman, M. Rahman· Asian Journal of Contemporar...· 0 citations
Sustainable progress in Education 5.0 requires policymakers, educators, and technologists to adopt an integrated approach that treats ethical AI governance and evolving competency development as co-constitutive rather than ancillary concerns.
Felix Tersoo Gbaeren· INTERNATIONAL JOURNAL OF SOC...· 0 citations
The study explores the paradigm shift in education brought about by the introduction of generative artificial intelligence (AI) tools, focusing on educational stakeholders’ self-reported perceptions rather than observed changes in teaching or learning outcomes. We consider stakeholders’ views on AI-based technologies w...
The findings show that teachers’ adoption of GenAI was not simply determined by tool availability or perceived efficiency, rather, teachers’ perceptions of usefulness and ease of use developed through cycles of experimentation, prompt refinement, peer sharing, and ethical reflection.
D. Maher, Keith Heggart, Antonette Shibani et al.· Education sciences· 0 citations
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