Artificial intelligence technologies in Emirati private universities: challenges and effectiveness in improving the quality of education

Khaled Younis Alderbashi ()

Edelweiss Applied Science and Technology, 2024, vol. 8, issue 6, 2619-2640

Abstract: This study aimed to explore the effectiveness of using artificial intelligence (AI) technologies in improving the quality of education in Emirati private universities. It also explored the challenges hindering the use of AI technologies in Emirati private universities. It aimed to offer suggestions to handle such challenges. The researcher adopted the qualitative, quantitative and descriptive analytical approach. He used two data collection methods which are: a questionnaire and an interview. He shared the questionnaire on several WhatsApp groups that target faculty members in five Emirati private universities. 164 faculty members filled in the questionnaire. Thus, they were chosen purposively. The researcher conducted interviews with thirteen (13) faculty members chosen purposively from the latter universities. SPSS software was used to process the collected data. Based on the analysis, it was found that using AI technologies improves the quality of education in in Emirati private universities. Such use reduces the students’ dependency on faculty members for acquiring knowledge and improves the teaching methods used by faculty members. Based on the interviews, it was found that such challenges include: having concerns about the security of data and facing difficulty in developing special AI software and applications for students and faculty members. Regarding the implications of this study, the results of this study contribute to improving the quality of education in Emirati private universities because they encourage the developers of curricula in such universities to add AI-based activities to those curricula.

Keywords: Artificial intelligence (AI); Challenges; Effectiveness; Emirate; Emirati private universities; Learning; Quality of education; Teaching. (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://learning-gate.com/index.php/2576-8484/article/view/2518/970 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ajp:edwast:v:8:y:2024:i:6:p:2619-2640:id:2518

Access Statistics for this article

More articles in Edelweiss Applied Science and Technology from Learning Gate
Bibliographic data for series maintained by Melissa Fernandes ().