The Degree of Use of Artificial Intelligence Applications by Heads of Academic Departments and Office Directors and Their Impact on the Quality of Administrative Decision-Making: A Field Study at the Faculty of Education, Qasr Bin Ghashir, University of T

Abstract

This study aimed to investigate the impact of using Artificial Intelligence (AI) applications on the quality of administrative decision-making among heads of academic departments and office managers at the Faculty of Education, Qasr Bin Ghashir. It also sought to examine the nature of the relationship between the use of AI applications and the quality of administrative decisions, identify differences in the responses of the study sample according to gender, academic qualification, years of administrative experience, and AI training, and identify the major challenges facing the implementation of AI applications in administrative work.

The study adopted the descriptive correlational approach. A questionnaire was used as the data collection instrument and was administered to all heads of academic departments and office managers at the Faculty of Education, Qasr Bin Ghashir using the comprehensive survey method. The collected data were analyzed using appropriate statistical techniques.

The findings revealed that the level of AI application usage was moderate, whereas the quality of administrative decisions was high. The results also indicated a statistically significant positive correlation of moderate strength between the use of AI applications and the quality of administrative decision-making, suggesting that increased use of AI applications contributes to improving decision quality. Furthermore, statistically significant differences were found according to gender in favor of females, while no statistically significant differences were found with respect to academic qualification, years of administrative experience, or AI training. The study also showed that respondents face considerable challenges limiting the wider adoption of AI applications, most notably ethical concerns, limited technological and financial resources, and a shortage of qualified technical personnel.

In light of these findings, the study recommends promoting the adoption of AI applications in the administrative functions of higher education institutions, providing the necessary technological infrastructure, implementing specialized training programs, and developing policies that ensure the safe and ethical use of AI applications, thereby enhancing the quality of administrative decision-making and improving institutional performance.