توظيف الذكاء الاصطناعي التوليدي لتنمية مستويات عمق المعرفة العلمية والفضول العلمي لدى طالبات المرحلة الثانوية في مقرر الفيزياء : بحث إجرائي
The research aims to investigate the employing generative artificial intelligence in developing the levels of depth of scientific knowledge and scientific curiosity among secondary school students in the physics course. To achieve this purpose, the research was designed in light of the experimental approach (quasi-experimental design) with one group with pre- and post-applications. The experimental treatment material was represented in the application of generative artificial intelligence CHAT-GPt, which was programmed to perform some of the roles of the physics teacher and was called the "smart physics teacher". Then, the two research tools were prepared: a test to measure the levels of depth of scientific knowledge, which consisted of twelve multiple-choice and four open-ended questions. The classroom observation card was also designed to monitor the number of questions asked by the students. The two research tools were applied to a random sample of 28 female students from the first grade at Umm Al Mu'minin Safiya bint Hayyi Secondary School - may God be pleased with her affiliated with the Makkah Education Department. The results were analyzed using appropriate statistical methods. As a "t" test for two related samples, the Eta square coefficient (2) to measure the effect size, and frequency tables, the research concluded that the levels of depth of scientific knowledge and scientific curiosity have developed among the research sample alike. In light of this, it is recommended to employ generative artificial intelligence to develop the levels of depth of scientific knowledge and scientific curiosity among secondary school students. It is also recommended to encourage teachers to employ generative artificial intelligence in teaching science subjects. (Published abstract)