The Relation of Artificial Intelligence Technology Application with Administrative Performance: A Case Study of Staff in Directorates of Education in the Hebron Governorate in Palestine
The Relation of Artificial Intelligence Technology Application with Administrative Performance: A Case Study of Staff in Directorates of Education in the Hebron Governorate in Palestine
Author(s): Ibrahim Iwadi, Dhakir Ali, Mohammed Jabari, Enes SukicSubject(s): Electronic information storage and retrieval
Published by: UIKTEN - Association for Information Communication Technology Education and Science
Keywords: Artificial intelligence; administrative performance; the directorate of education in Hebron in Palestine
Summary/Abstract: The aim of this study is to elucidate the concept of artificial intelligence, identify obstacles to its implementation, and explore the relationship between the application of artificial intelligence technology and the administrative performance of employees in the directorate of education in Hebron, Palestine. Additionally, the study aims to propose effective strategies for overcoming these identified obstacles. The research adopts an explanatory sequential design methodology. To construct the questionnaire questions, unstructured interviews were conducted, while structured interviews were employed to interpret the results. The questionnaire was administered to 120 male and female employees. The study's findings revealed that the application of artificial intelligence technology among employees and the level of administrative performance both fall within the average range. Moreover, a positive correlation was observed between the application of artificial intelligence technology in its various dimensions and administrative performance. This suggests that increased utilization of artificial intelligence technology correlates with enhanced administrative performance among employees and vice versa. In light of these results, the researchers recommend a focus on enhancing infrastructure efficiency and providing adequate proper resources to facilitate the integration of artificial intelligence technology applications.
Journal: TEM Journal
- Issue Year: 13/2024
- Issue No: 2
- Page Range: 1502-1512
- Page Count: 11
- Language: English