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Descriptive field study shows high motivation impact from school leadership using AI techniques, highlighting differences by academic qualification and experience.
The current study sought to determine the impact of school leadership using artificial intelligence techniques to motivate teachers in secondary schools within the Green Line, as well as to identify differences in sample responses based on academic qualification and years of experience. The descriptive field methodology was employed by the researcher, and the study sample included 479 male and female instructors from secondary schools within the Green Line during the academic year 2023-2024. They were chosen at random and spread throughout thirty-one schools. To fulfil the study's aims. A questionnaire with twenty-one items was developed. The results of the study indicated that the impact of school leadership using artificial intelligence techniques to motivate teachers in secondary schools within the Green Line was high, and the presence of statistically significant differences in the impact of school leadership in using artificial intelligence techniques to motivate teachers in secondary schools within the Green Line attributed to the variables of academic qualification and years of experience. The results also revealed statistically significant differences in the arithmetic means of the impact of school leadership utilizing artificial intelligence tools to encourage instructors, based on academic degree and experience. The differnncese were in favor of teachers with postgraduate degrees and those with ten years or more of experience.
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Doaa Fahem Makri (2024) studied this question.
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