Free Linguistics Conference (FLC) 2023, İstanbul, Türkiye, 29 Eylül - 01 Ekim 2023, ss.26
Within the scope of the project, doctoral researchers utilizing Conversation Analysis (CA) method in their previous studies carried out a 13-week training on important factors in the data collection process, the detailed transcription and examination of the video recorded EMI classroom discourse through micro-analytic point of view, and identifying and interpreting classroom interactional practices to be used in the design of EMI teacher training modules. Throughout the training, the undergraduate and graduate researchers were provided with various reading lists, individual and group tasks, and feedback on their performance; thus, the input-process-output framework was grounded in the design of the training. Additionally, three different contents were included: knowledge-oriented, presentation-oriented, and practice-oriented content. While the first weeks were based on teaching the theoretical knowledge of the CA method and offering solutions for the problems encountered during the data gathering with information-oriented content, as of the fifth week, the effective use of Transana and MAXQDA software packages and how to execute data sessions were demonstrated by means of video recordings and stimulated recall recordings from the data gathered for the project. From the ninth week to the end of the training, the trainees presented effective classroom practices they recognized in the dataset collected for the development of English Medium Instruction Corpus (EMIC) in online sessions with the project research team. With the help of the progressive work from the week the training commenced, significant contributions were made in terms of conducting the data analysis process for the further stages of
the project, developing human resources on the basis of the customized research method, and designing an in-service training framework for the lecturers teaching through English at the tertiary level.