Relevance of the research. This paper presents a study on eye-tracking, or eye-movement measurement, of a lecturer. This method allows us to analyse and reveal the inclusion of students—pre-service teachers—in a language didactics seminar. Research (Wedel, 2015) has found that eye-tracking, or the measurement and recording of a person's eye movements, is an important and increasingly used method to assess visual attention. For example, eye-tracking technology provides insight into the challenges students face when solving text-based mathematics tasks (Paškovskė & Klizienė, 2024). Schweinberger, Watzka, and Girwidz (2023) use eye-tracking studies as a feedback tool to show pre-service teachers the impact of their moderation on students. However, eye-movement measurement studies are often used to investigate students’ attention and cognitive performance in the educational process (Dahlstrom-Hakki et al., 2019). There are few studies that delve deeper into a teacher's eye-tracking during a lecture or seminar to determine the distribution of attention among learners in the audience. It is clear that eye-tracking studies can help evaluate student inclusion in the educational process (Montero, Kilpiä et al., 2018). The role of the teacher and the attention given to learners are very important, as they determine emotional-social well-being, academic achievement, and contribute to the creation of an inclusive community that responds to the individual needs of students. The aim of this presentation is to determine students’ inclusion in a language didactics seminar based on a lecturer's eye-tracking study. The eye-tracking methodology was employed, which, according to St. Cullipher, S. J. R. Hansen, and J. R. VandenPlas (2018), is considered a quantitative study in which eye-movement captures visual stimuli. The following data collection tool was used: video recording - observation, during which a recording of the seminar was made using a camera and mobile eye-tracking glasses. Data were processed using quantitative-statistical methods to evaluate research data. The data were visualised by creating heatmaps. Results of the study: Eye-tracking data revealed the lecturer's attention, behavioural patterns and students’ inclusion into educational process during a seminar in language didactics.

Keywords: Eye tracking, eye movement, eye attention, pre-service teachers, inclusion, higher education.