Teaching the CLIL technology to rising IT teachers


Nariman S. Alzhanov A. Doguchaeva S.
2023Routledge

Interactive Learning Environments
2023#31Issue 95601 - 5613 pp.

The study is devoted to the definition of educational effects of introducing the Content and Language Integrated Learning (CLIL) technology in masters programs. A pedagogical model of teaching the CLIL methodology is described; the development of the “CLIL for IT teachers” course is based on it. An experiment that involved 62 graduate students was carried out. The following mobile applications were used in the development of the CLIL course for IT Teachers: FluentU: Language Learning App, Basic Computer Fundamental, Learn computer in 30 days, Computer Basic Course, Online courses from HowTech, Computer Dictionary English, Learn Word, Excel & PowerPoint. The effective synergy of the models elements made it possible to simulate a high-quality learning environment that promoted targeted learning, social educational cooperation, and creative expression of students, while spontaneously forming an English-speaking communication competence adaptive to different business scenarios. During the participation in the educational experiment, students not only developed a personal educational product–Fundamentals of Informatics–but also significantly improved their English professional communication competence. The described experience can be of interest to educators who are in search of effective pedagogical technologies and digital tools that improve the quality of their professional activities.

Computer science , content and language integrated learning (CLIL) , digital technologies , mobile applications , pedagogical model , professional foreign language communication competence

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Department of Informatics, L.N. Gumilyov Eurasian National University, Nur-Sultan, Kazakhstan
Department of Data Analysis, Decision-Making and Financial Technology, Financial University under the Government of the Russian Federation, Moscow, Russian Federation

Department of Informatics
Department of Data Analysis

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