Towards the Issue of Creating Linguistic Pedagogical Profiles

The study explores the development of linguistic profiles for evaluating teacher effectiveness in pedagogical discourse. It emphasizes the role of language in educational practices and how linguistic features can distinguish more effective teachers from less effective ones. The research utilizes a corpus of transcripts of Russian secondary school lessons that are analyzed using statistical and machine learning techniques. Key linguistic metrics, such as noun-verb correlation, sentence complexity, and lexical density, are used to create profiles of teaching performance. The study finds that more effective teachers demonstrate a balanced linguistic way of delivering information, employing varied syntactic structures and diverse vocabulary. In contrast, less effective teachers tend to exhibit repetitive and rigid language patterns, which may impede student comprehension. While the study findings provide insights into the relationship between language use and teaching success, the authors acknowledge limitations in the dataset size and suggest future research to expand on the current findings. The preliminary profiles can serve as diagnostic tools to help in developing better pedagogical strategies for trainee teachers in adopting language use that enhances learning outcomes.