Increasing student performance and satisfac-tion in a speaking course through AI-sup-ported active learning activities

This study investigates the impact of active learning techniques on oral communication skills and course satisfaction among Eng-lish as a foreign language (EFL) teacher candidates in Türkiye. Using a mixed-methods approach, the researcher collected quan-titative data from oral exams and qualitative data from a post-course satisfaction survey. Results revealed statistically signifi-cant improvement in oral communication performance, with AI-supported active learning activities showing a positive influence. Students reported increased confidence, fluency, and motivation to speak English. Particularly effective activities included stu-dent-chosen role-play scenarios, speaking in front of peers, and consistent language practice opportunities. The approach proved successful in both improving academic performance and foster-ing positive attitudes toward English speaking by helping these prospective teachers overcome communication anxiety and develop greater comfort with self-expression.