Evaluating the Influences on AI Adoption in Higher Education in the UAE: Students' Utilization of AI

Abstract

Artificial intelligence integration in learning is among the significant disruptions in higher education systems across the world. The UAE has shown an interest in integrating AI within educational systems as it complements its development goals to reform the educational sector’s practices and facilities. This research aims to identify the AIs’ drivers in the context of the UAE’s HEIs and gives equal attention to the technological and socio-economic contexts that surround its adoption. This research incorporated the survey design and data analysis approach which employed the quantitative research method, and the Technology Acceptance model was used to inform the survey design. The data used in this research study were obtained from 225 participants consisting of educators and leaders of various higher institutions in the UAE through an administrated online questionnaire. Data analysis was conducted by using SPSS software version 25 by using both descriptive and inferential analysis. A survey of 225 educators conducted showed that 80 out of the respondents believed that embracing corporate social responsibility would benefit their company. Of the participants from public universities, 91 % are aware of and implementing AI proactively, while the figure for those from private universities is 19 % exclusively. About 9% are from private institutions. Hypothesis two assumes that familiarity with at least one AI application would significantly affect AI adoption and the logistic regression analysis revealed otherwise (B = 0). 018, p = 0). Furthermore, formal education on AI introduced a negative effect on adoption rates, (B = -1. 442, p < 0.5). Moreover, to establish a more cautious correlation between the use of OHTs and differentiated instruction the analyzed participants’ sample revealed the use of AI in the following manner. There is a significant relationship between the type of university and the usage of AI (Pearson Chi-Square = 11. 124, p = 0.01). AI can potentially bring about a positive impact to improve the quality of education and access to higher education institutions in the UAE. However, achieving such benefits depends on various factors that consist of infrastructure, curriculum, new courses, and stakeholders. Improvements in future knowledge management branching should center on offering strong complementary education measures that illuminate the advantages of AI, whilst also tackling its arising complications to create strong and harmonized education advancement for all institutional categories.