The study aims to identify the impact of integrating artificial intelligence applications in the administrative environment on the development of professional performance among heads of scientific departments. It also aims to understand the extent of the impact of these applications on enhancing professional performance. From this objective, the hypothesis is derived (there are no statistically significant differences between the average scores of the research sample individuals in the pre-test and their average scores in the post-test regarding the level of professional performance). The study follows the experimental approach. The research sample consisted of (30) heads of scientific departments from the University of Anbar, who were tested with a professional performance scale before the experiment and then provided with a set of artificial intelligence applications to assist them in performing their administrative duties. They were then tested again after the experiment using the professional performance scale. The research tool was constructed according to Herzberg’s theory, consisting of (36) items with declarative statements, each with five alternatives. The psychometric properties of the scale, including its validity and reliability, were verified. The study reached the following results: There are statistically significant differences between the average scores of the research sample individuals in the pre-test and their average scores in the post-test regarding the level of professional performance. The study followed a one-group design with pre-test and post-test. The statistical methods used included the SPSS program to extract the results.

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The Impact of Integrating Artificial Intelligence into the Administrative Environment on Enhancing the Professional Performance of Heads of Academic Department

  • Yasir Khalaf Rashid,
  • Bilal Tariq Hussein Allwan,
  • Elaf Hameed Mousa,
  • Ali Sabah Jameel

摘要

The study aims to identify the impact of integrating artificial intelligence applications in the administrative environment on the development of professional performance among heads of scientific departments. It also aims to understand the extent of the impact of these applications on enhancing professional performance. From this objective, the hypothesis is derived (there are no statistically significant differences between the average scores of the research sample individuals in the pre-test and their average scores in the post-test regarding the level of professional performance). The study follows the experimental approach. The research sample consisted of (30) heads of scientific departments from the University of Anbar, who were tested with a professional performance scale before the experiment and then provided with a set of artificial intelligence applications to assist them in performing their administrative duties. They were then tested again after the experiment using the professional performance scale. The research tool was constructed according to Herzberg’s theory, consisting of (36) items with declarative statements, each with five alternatives. The psychometric properties of the scale, including its validity and reliability, were verified. The study reached the following results: There are statistically significant differences between the average scores of the research sample individuals in the pre-test and their average scores in the post-test regarding the level of professional performance. The study followed a one-group design with pre-test and post-test. The statistical methods used included the SPSS program to extract the results.