Leveraging ICT and Generative AI in Higher Education for Sustainable Development: The Case of a Lebanese Private University
Nada Mallah Boustani (),
Dina Sidani and
Zaher Boustany
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Nada Mallah Boustani: Faculty of Business and Administration, Saint Joseph University, Beirut 1104 2020, Lebanon
Dina Sidani: Faculty of Business and Administration, Saint Joseph University, Beirut 1104 2020, Lebanon
Zaher Boustany: Faculty of Letters and Humanities, Saint Joseph University, Human Science Campus, Beirut 1104 2020, Lebanon
Administrative Sciences, 2024, vol. 14, issue 10, 1-22
Abstract:
This study investigates the interaction of information and communication technology (ICT) and higher education in driving sustainable development, with a special emphasis on the rising significance of generative AI tools such as ChatGPT. This quantitative study, conducted in a Lebanese private university, looks into the impact of ICT, specifically generative AI, on promoting sustainability in higher education. A questionnaire was distributed to university instructors to determine how these technologies contribute to sustainable practices in academic environments. The results, which were evaluated using descriptive statistics and correlation analysis, show that ICT tools, professional instructor development, and the upkeep of educational infrastructure all contribute considerably to Lebanon’s sustainable development. Furthermore, integrating generative AI into educational processes has the potential to improve personalized learning, resource efficiency, and content production, all of which contribute to sustainability goals. The study concludes by exploring the findings’ broader implications, acknowledging their shortcomings, and suggesting future research possibilities.
Keywords: ChatGPT; educational infrastructure; resource efficiency; sustainable development (search for similar items in EconPapers)
JEL-codes: L M M0 M1 M10 M11 M12 M14 M15 M16 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jadmsc:v:14:y:2024:i:10:p:251-:d:1494398
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