أثر توظيف استراتيجية الرحلات المعرفية المدعومة بالذكاء الاصطناعي على تمكين المعلمات من تصميم تعلم عميق لطالبات المرحلة المتوسطة
This action research aims to investigate the impact of employing AI supported WebQuest strategies in empowering middle school teachers to design deep learning experiences for their students. The researcher adopted an applied action research methodology by training a group of teachers to develop lesson plans based on inquiry-based learning strategies, integrating AI tools to support the planning and implementation processes within the classroom environment. The study tools included a questionnaire to measure teacher empowerment and an analysis rubric for the designed lesson plans. The findings revealed a significant improvement in teachers’ abilities to incorporate higher-order thinking skills and to organize lesson plans focused on promoting deep learning. The results also indicated increased student engagement with digital classroom activities based on inquiry and exploration. Based on these findings, the research recommends the widespread adoption of AI-supported WebQuest strategies in lesson design and the enhancement of teacher training programs to effectively implement deep learning strategies within educational environments. (Published abstract)