AI-Driven Student Support in GCC Higher Education

Higher education institutions continue to incorporate Artificial Intelligence (AI) into their different sectors of operation. The implementation of AI in academic advising helps universities worldwide, including institutions in the Gulf Cooperation Council (GCC) countries, to improve educational experiences while supporting students and administrative efficiency in educational institutions. This paper explores how leading institutions in the GCC region have begun using AI-driven advising tools, the pros and cons of these technologies and how they may affect tutors, students and universities. It also highlights how AI can solve the typical advising inefficiencies of incorrect course selection, miscalculated GPAs, and manual mistakes that lead to at-risk students.

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Publication Details

Journal
Engineering and Technology Journal
Published
2025-05-29
DOI
https://doi.org/10.47191/etj/v10i05.27
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Driven Student Support in GCC Higher Education

Fajer Danish
Engineering and Technology Journal
Online Learning and Analytics
article

AI-Driven Student Support in GCC Higher Education

Fajer Danish
article en

Abstract

Higher education institutions continue to incorporate Artificial Intelligence (AI) into their different sectors of operation. The implementation of AI in academic advising helps universities worldwide, including institutions in the Gulf Cooperation Council (GCC) countries, to improve educational experiences while supporting students and administrative efficiency in educational institutions. This paper explores how leading institutions in the GCC region have begun using AI-driven advising tools, the pros and cons of these technologies and how they may affect tutors, students and universities. It also highlights how AI can solve the typical advising inefficiencies of incorrect course selection, miscalculated GPAs, and manual mistakes that lead to at-risk students.

Engineering and Technology JournalVol. 10(05)
Royal University for Women (BH)
Openalex Percentile: Top 88%
Online Learning and Analytics
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