أثر اختلاف نمطي التعلم التشاركي القائم على الذكاء الاصطناعي من خلال روبوت الدردشة على تنمية مهارات الفهم العميق و قابلية التعلم الذاتي لدى طلاب الدبلوم المهنية التربوية

Abstract EN

The aim of the current research is to study the effect of the different patterns of participatory learning based on artificial intelligence through a chatbot on developing deep understanding skills and the ability to self-learning among students of professional educational diploma, The research was applied to two groups, a group that studied in a synchronous participatory learning style based on artificial intelligence using a chatbot to diagnose computer faults and their solutions through video conferencing using the meet.

google.

com application (the first experimental), and a group that studied in a participatory asynchronous learning style based on artificial intelligence using A chatbot for diagnosing computer problems and their solutions through a mail group using the groups.

google.

com application (the second trial), Where the two measurement tools represented in the deep understanding test for diagnosing computer malfunctions and their solutions and the measure of susceptibility to self-learning were applied before and after on the two experimental research groups and calculating the results that concluded that there were statistically significant differences at the level (0.01) between the average ranks of the first and second experimental group scores in the two tribal applications And the remote to test the deep understanding and measure the ability to self-learning to diagnose computer malfunctions and their solutions in favor of the post application, And there were statistically significant differences at the level (0.01) between the mean scores of the first experimental group and the second experimental group in the post application of the deep understanding test for diagnosing computer malfunctions and their solutions, and for the self-learning ability scale in favor of the first experimental group.