A Proposed Vision for Developing the Administrative System in Higher Education in the light of Artificial Intelligence Applications Scientific Research
Year: 2025
Type: article
Study design: Observational Study
Abstract: This research aimed to plant a proposed conception for developing the administrative system in light of artificial intelligence applications in higher education in Yemen. The researcher explained the problem, objectives, and importance of the research, and referred to some relevant Arabic and foreign studies. The research tool also consisted of a questionnaire that was applied electronically, with a sample consisted of 137 individuals from higher education institutions in Yemen. The results demonstrated a high relative importance of using artificial intelligence in the administrative system. The research also mentioned the foundations of the proposed conception, the most important of which were: predicting the possibilities and imagining the desired future, taking into account that this future is variable due to artificial intelligence applications. Realism is achieved by monitoring the current reality and basing the goals that it seeks to achieve on available resources. Specific and prioritized goals are set based on statistics, data, and accurate information obtained through analysis of the internal and external environment. Flexibility and continuity are crucial, ensuring that the conception is an interconnected series of overlapping processes. Continuous follow-up and evaluation are necessary to track the success of the conception and assess the current situation, identifying its strengths and weaknesses. Several recommendations have been made, including: the development of higher education in light of artificial intelligence applications focuses on improving the technical infrastructure to enhance administrative performance efforts and to improve funding, spending, and work opportunities. The researcher also suggested providing highly qualified specialists to support the technical aspects by fixing network damage.
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4408217365