Transformative Role of Artificial Intelligence (AI) in Higher Education in United Arabs Emirates: Exploring the Universities’ Faculty Members’ Perspectives and the Institutional Leaders

This study explores the transformative role of AI in higher education institutions in the United Arab Emirates. Using a mixed-methods approach of sequential interpretive methods, this research examines faculty acceptance and adoption of AI, factors influencing its integration, and impact on teaching...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: EDDIN, DIMA JAMAL (author)
منشور في: 2025
الموضوعات:
الوصول للمادة أونلاين:https://bspace.buid.ac.ae/handle/1234/3251
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author EDDIN, DIMA JAMAL
author_facet EDDIN, DIMA JAMAL
author_role author
dc.contributor.none.fl_str_mv Dr Emad Ayyash
dc.creator.none.fl_str_mv EDDIN, DIMA JAMAL
dc.date.none.fl_str_mv 2025-08-11T16:45:12Z
2025-03
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 23001791
https://bspace.buid.ac.ae/handle/1234/3251
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv The British University in Dubai (BUiD)
dc.subject.none.fl_str_mv Artificial Intelligence (AI)
AI integration
faculty adoption
educational technology
AI-driven learning
quality assurance
institutional effectiveness
AI in teaching and learning
UAE higher education institutions
digital transformation
ethical framework
dc.title.none.fl_str_mv Transformative Role of Artificial Intelligence (AI) in Higher Education in United Arabs Emirates: Exploring the Universities’ Faculty Members’ Perspectives and the Institutional Leaders
dc.type.none.fl_str_mv Dissertation
description This study explores the transformative role of AI in higher education institutions in the United Arab Emirates. Using a mixed-methods approach of sequential interpretive methods, this research examines faculty acceptance and adoption of AI, factors influencing its integration, and impact on teaching, learning, and quality assurance processes. The research is guided by the Unified Theory of Acceptance and Use of Technology (UTAUT) framework, which has been expanded to include ethical issues, innovative work environments, and individual innovation. Quantitative data was collected through surveys with sixty faculty members, while qualitative insights were gained through interviews with senior institutional leaders. The results reveal that performance expectations, effort expectations, social influence, and facilitating conditions significantly influence AI adoption. However, ethical concerns and technical infrastructure limitations pose challenges. Additionally, leadership support, strategic policies, and tailored training programs are critical to effective AI integration. This study provides actionable recommendations for institutional leaders to formulate AI-driven strategies that enhance educational outcomes, encourage ethical practices, and align with the UAE’s National AI Strategy 2031. It also contributes to academic literature by presenting an expanded UTAUT framework to better understand AI adoption in higher education contexts.
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publishDate 2025
publisher.none.fl_str_mv The British University in Dubai (BUiD)
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spelling Transformative Role of Artificial Intelligence (AI) in Higher Education in United Arabs Emirates: Exploring the Universities’ Faculty Members’ Perspectives and the Institutional LeadersEDDIN, DIMA JAMALArtificial Intelligence (AI)AI integrationfaculty adoptioneducational technologyAI-driven learningquality assuranceinstitutional effectivenessAI in teaching and learningUAE higher education institutionsdigital transformationethical frameworkThis study explores the transformative role of AI in higher education institutions in the United Arab Emirates. Using a mixed-methods approach of sequential interpretive methods, this research examines faculty acceptance and adoption of AI, factors influencing its integration, and impact on teaching, learning, and quality assurance processes. The research is guided by the Unified Theory of Acceptance and Use of Technology (UTAUT) framework, which has been expanded to include ethical issues, innovative work environments, and individual innovation. Quantitative data was collected through surveys with sixty faculty members, while qualitative insights were gained through interviews with senior institutional leaders. The results reveal that performance expectations, effort expectations, social influence, and facilitating conditions significantly influence AI adoption. However, ethical concerns and technical infrastructure limitations pose challenges. Additionally, leadership support, strategic policies, and tailored training programs are critical to effective AI integration. This study provides actionable recommendations for institutional leaders to formulate AI-driven strategies that enhance educational outcomes, encourage ethical practices, and align with the UAE’s National AI Strategy 2031. It also contributes to academic literature by presenting an expanded UTAUT framework to better understand AI adoption in higher education contexts.The British University in Dubai (BUiD)Dr Emad Ayyash2025-08-11T16:45:12Z2025-03Dissertationapplication/pdf23001791https://bspace.buid.ac.ae/handle/1234/3251enoai:bspace.buid.ac.ae:1234/32512025-08-11T16:45:44Z
spellingShingle Transformative Role of Artificial Intelligence (AI) in Higher Education in United Arabs Emirates: Exploring the Universities’ Faculty Members’ Perspectives and the Institutional Leaders
EDDIN, DIMA JAMAL
Artificial Intelligence (AI)
AI integration
faculty adoption
educational technology
AI-driven learning
quality assurance
institutional effectiveness
AI in teaching and learning
UAE higher education institutions
digital transformation
ethical framework
title Transformative Role of Artificial Intelligence (AI) in Higher Education in United Arabs Emirates: Exploring the Universities’ Faculty Members’ Perspectives and the Institutional Leaders
title_full Transformative Role of Artificial Intelligence (AI) in Higher Education in United Arabs Emirates: Exploring the Universities’ Faculty Members’ Perspectives and the Institutional Leaders
title_fullStr Transformative Role of Artificial Intelligence (AI) in Higher Education in United Arabs Emirates: Exploring the Universities’ Faculty Members’ Perspectives and the Institutional Leaders
title_full_unstemmed Transformative Role of Artificial Intelligence (AI) in Higher Education in United Arabs Emirates: Exploring the Universities’ Faculty Members’ Perspectives and the Institutional Leaders
title_short Transformative Role of Artificial Intelligence (AI) in Higher Education in United Arabs Emirates: Exploring the Universities’ Faculty Members’ Perspectives and the Institutional Leaders
title_sort Transformative Role of Artificial Intelligence (AI) in Higher Education in United Arabs Emirates: Exploring the Universities’ Faculty Members’ Perspectives and the Institutional Leaders
topic Artificial Intelligence (AI)
AI integration
faculty adoption
educational technology
AI-driven learning
quality assurance
institutional effectiveness
AI in teaching and learning
UAE higher education institutions
digital transformation
ethical framework
url https://bspace.buid.ac.ae/handle/1234/3251