Artificial Intelligence: A Lever for University-Industry Collaboration – An Exploratory Review

A Just as Henry Ford's industrial revolution transformed production methods, Artificial Intelligence (AI) is now revolutionizing various sectors, including higher education. AI is redefining the way we learn, work, and collaborate. This technology creates both opportunities and challenges for industries. This study explores how AI can enhance collaboration between academia and industry by investigating three key research questions: What are the impacts of AI on higher education and academic research? What conditions facilitate its integration in academic institutions? What strategies strengthen university-industry collaboration through AI? The methodology used is based on the analysis and synthesis of 26 articles related to this important topic. The analysis highlights critical factors for AI adoption, such as technological infrastructure, faculty training, and ethical considerations. Furthermore, it outlines essential collaboration strategies, including joint research initiatives, AI-driven academic programs, and industry partnerships. Finally, the literature analysis has revealed some promising avenues for guiding future studies on the integration of AI in university-industry collaboration.

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Publication Details

Journal
International Journal of Learning and Teaching
Published
2025-01-01
DOI
https://doi.org/10.18178/ijlt.11.4.212-217
Primary Topic
Big Data and Business Intelligence
Type
article
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article

Artificial Intelligence: A Lever for University-Industry Collaboration – An Exploratory Review

Rhizlane Hamouti, Yan Castonguay
International Journal of Learning and Teaching
Big Data and Business Intelligence
article

Artificial Intelligence: A Lever for University-Industry Collaboration – An Exploratory Review

Rhizlane Hamouti, Yan Castonguay
article en

Abstract

A Just as Henry Ford's industrial revolution transformed production methods, Artificial Intelligence (AI) is now revolutionizing various sectors, including higher education. AI is redefining the way we learn, work, and collaborate. This technology creates both opportunities and challenges for industries. This study explores how AI can enhance collaboration between academia and industry by investigating three key research questions: What are the impacts of AI on higher education and academic research? What conditions facilitate its integration in academic institutions? What strategies strengthen university-industry collaboration through AI? The methodology used is based on the analysis and synthesis of 26 articles related to this important topic. The analysis highlights critical factors for AI adoption, such as technological infrastructure, faculty training, and ethical considerations. Furthermore, it outlines essential collaboration strategies, including joint research initiatives, AI-driven academic programs, and industry partnerships. Finally, the literature analysis has revealed some promising avenues for guiding future studies on the integration of AI in university-industry collaboration.

International Journal of Learning and Teaching
Openalex Percentile: Top 63%
Big Data and Business Intelligence
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Artificial Intelligence: A Lever for University-Industry Collaboration – An Exploratory Review — Rhizlane Hamouti, Yan Castonguay · International Journal of Learning and Teaching (2025) | TGRS Research Map | TGRS