IMPROVING AI STUDENTS' PROFESSIONAL COMMUNICATION SKILLS THROUGH AUTOMATED LINGUISTIC ANALYSIS TECHNIQUES

This study presents a detailed experimental investigation involving 40 artificial intelligence students from Fergana State Technical University, aimed at assessing the impact of automated linguistic-analytical platforms on developing students’ professional speech skills. The research integrates AI-driven corpus linguistics tools into the curriculum, allowing students to receive real-time, automated feedback on their professional writing assignments. Over the course of the semester, participants in the experimental group submitted a range of written tasks, which were evaluated by advanced software capable of conducting frequency, collocation, and concordance analyses. These automated assessments provided highly targeted, individualized feedback addressing each student’s use of professional terminology, syntactic accuracy, and recurrent error patterns. Conversely, the control group received conventional teacher feedback without the aid of automated analysis.