Requirements for Employing Artificial Intelligence Applications in Higher Education from the Perspective of Faculty Members at Taiz University

Abstract

This study aimed to identify the requirements for employing artificial intelligence applications in university education from the perspective of faculty members at Taiz University, as well as to identify whether there is a difference in the requirements for employing artificial intelligence applications in university education from the perspective of faculty members which can be attributed to the study variables of gender, college, and academic rank. To achieve these goals, the researcher used a questionnaire directed to a sample of faculty members at the university to survey their opinions on the requirements for employing artificial intelligence applications in university education. The tool included four domains: organizational requirements (9 items), human requirements (7 items), technical and technological requirements (11 items), and financial requirements (8 items), after ensuring the validity and reliability of the tool using known methods.
The results showed that the requirements for employing artificial intelligence applications in university education were of a “very high” degree from the point of view of the faculty members at Taiz University. The first order was (technical and technological requirements), followed by (human requirements), then (organizational requirements), while the last order was (financial requirements). The results showed that there were no statistically significant differences at the significance level (α = 0.05) in the opinions of the study sample regarding the questionnaire domains and the overall degree of requirements for employing artificial intelligence applications in university education according to the study variables: gender, college, academic rank.
In light of these results, the study recommended the need to adopt a clear strategic plan aimed at studying how to apply artificial intelligence in the long term and evaluating it periodically. It suggested conducting studies on similar samples by adopting other independent variables and different data collection methods such as personal interviews with faculty members, with the aim of presenting a proposal for a more comprehensive technical model that helps in activating the use of artificial intelligence applications in university education