درخت حوزه‌های تخصصی

The present research was conducted with the aim of measuring the effectiveness of face to face and virtual in-service training of elementary school teachers in Birjand city based on the Kirkpatrick model and comparing them. The current research method is a quasi-experimental pre-test-post-test type. The statistical population of this research includes all primary school teachers of Birjand city who have participated in in-service and virtual courses in the academic year 2023-2024. Using available sampling, 45 teachers participating in face-to-face courses and 45 teachers participating in virtual courses were selected. In the first level, i.e. reaction, participants' opinions were collected in two stages (the beginning of the courses and the end of the courses). The tool used at this level was a researcher-made questionnaire. The second level, i.e. learning, was conducted using a researcher-made test of 19 questions and was performed as a pre-test and post-test. In the third level, i.e. behavior, data was collected 5 months after the end of the courses using the teachers' self-evaluation form and the teachers' evaluation form by their managers. The results of the inter-subject effects test to compare the reaction level components in the post-test stage and the f value obtained for all components are significant at the alpha level of 0.05. The F value obtained in the results of covariance analysis for comparing learning scores in the post-test stage is 26.563. The value of the t statistic and the value of the significance level for comparing the scores of the behavior level show that there is no difference in the variance between the two groups of face-to-face and virtual education The findings of the research show that face-to-face and virtual in-service courses are effective in the levels of reaction, learning and behavior, and there is a significant difference between the effectiveness of face-to-face and virtual courses; So that the obtained averages show that face-to-face training can have a significant effect compared to virtual training in these three levels.

The study aimed to identify the Requirements for Developing Leaders’ AI Competencies. This systematic literature review, spanning from January 2017 to March 2025, analyzes 26 articles retrieved from Google Scholar, Sage, Emerald, Springer, ScienceDirect, and PubMed. Building from the systematic review, the findings were synthesized and integrated to derive a clear and parsimonious AI competency requirements framework for leaders. To this end, the PRISMA framework was applied to establish a high-quality and transparent process. Naeem et al.'s (2023) thematic analysis framework was employed to analyze and interpret the findings from the included studies. The reliability of the final results was assessed using Cohen's Kappa method. This coefficient was found to be 0.73, indicating a high level of agreement between the coders. The findings elucidate the essential requirements for cultivating artificial intelligence competencies among leaders through three primary dimensions: organizational, technological, and individual requirements. This research contributes to the existing literature by identifying and categorizing the effective requirements for developing leaders’ AI competencies in the era of AI.