نوع مقاله : مقاله پژوهشی
نویسندگان
گروه مدیریت اموزشی، واحدقم، دانشگاه آزاد اسلامی، قم، ایران
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
The aim of the present study is to identify the infrastructural factors of using artificial intelligence in the teaching-learning process in elementary schools in Qom city. The research method is applied in terms of purpose and descriptive-correlational in terms of methodology and was conducted in the field. The statistical population of the study was all elementary school teachers in Qom province, 5146 people. Accordingly, and in accordance with the Cochran formula, 393 elementary school principals, teachers, and assistants were selected as statistical samples using the stratified random sampling method. The data collection tool was a researcher-made questionnaire with 42 questions. Questionnaire reliability In the present study, initially 30 questionnaires were completed and their reliability was calculated as a pre-test and using the Cronbach's alpha method. The validity of the questionnaire was confirmed by 14 professors, specialists, and experts. Also, data analysis was carried out using two softwares: SPSS and Smart PLS by calculating the factor loadings of the factors, t-statistics, and regression coefficient. The results showed that the infrastructural factors of using artificial intelligence, including the required hardware, infrastructure and network, security, internet speed, culture, and education, have a great impact on teaching and learning in elementary schools.
کلیدواژهها [English]
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