Exploring Factors Influencing Gen Z's Acceptance and Adoption of AI and Cloud-Based Applications and Tools in Academic Attainment

Performance Expectancy Artificial Intelligence (AI) Cloud-based Apps Effort Expectancy Facilitating Conditions Generation Z Oman Vision 2040 PLS-SEM Social Influence UTAUT.

Authors

  • Ghilan Al-Madhagy Taufiq Hail
    taufiq.h@uob.edu.om
    College of Business, University of Buraimi, Al Buraimi, Al Buraimi Governorate,, Oman https://orcid.org/0000-0002-4752-1124
  • Shafiz Affendi Mohd Yusof Department of Information Technology, Ajman University, Ajman,, United Arab Emirates
  • Ammar Rashid Department of Information Technology, Ajman University, Ajman,, United Arab Emirates
  • Ibrahim El-Shekeil Department of Computer Science and Cybersecurity, Metro State University, Minnesota 55106,, United States
  • Abdalwali Lutfi 4) College of Business Administration, The University of Kalba, Kalba, 11115, Sharjah, United Arab Emirates. 5) Department of Accounting, College of Business, King Faisal University, Al-Ahsa 31982, Saudi Arabia. 6) Applied Science Research Center, Applied Science Private University, Amman 11931, Jordan. 7) MEU Research Unit, Middle East University, Amman, 11831, Jordan.
Vol. 8 No. 3 (2024): June
Research Articles

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Generation Z faces diverse challenges in education amidst the swift evolution of technology. This study investigates the factors shaping Generation Z's acceptance and adoption of AI and Cloud-based applications in Oman's higher education sector. Despite limited attention to this area in Oman and the Gulf Cooperative Council countries (GCC), this research addresses the gap by employing the Unified Theory of Acceptance and Use of Technology (UTAUT) framework, recognized for its effectiveness in understanding technology adoption. Through a quantitative approach, Generation Z students in Omani higher education institutions were surveyed, and SmartPLS was utilized for analysis. Results indicate a significant positive relationship between all UTAUT antecedent factors, with Performance Expectancy being non-significant. This study offers novel insights into global understandings of Generation Z's learning trends with AI and Cloud-based applications in higher education, aiming to enhance pedagogical approaches. Notably, it pioneers such efforts within the GCC context. Recommendations for similar research in other GCC countries are provided to enrich regional perspectives. Limitations and future directions are addressed, emphasizing the importance of comprehending Generation Z's interaction with technology to advance educational practices in the digital age.

 

Doi: 10.28991/ESJ-2024-08-03-02

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