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Modern Pedagogical Techniques in Teaching French to Prepare Engineering University Students for Academic Mobility

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Educating Engineers for Future Industrial Revolutions (ICL 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1329))

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Abstract

The paper focuses on the practice of preparing Kazan National Research Technological University students for academic mobility to universities of France and development of a language training program to facilitate the students’ academic mobility. Every year, several KNRTU students, after completing the undergraduate studies, leave to do the Masters at French universities. In order to better prepare students for academic mobility to French universities, French teachers have developed a special training program, aiming to make it easier for students to continue their studies at universities and everyday life in France. The paper shows the methodology of the educational program of preparation for academic mobility. Besides, KNRTU French teachers have developed a program to prepare students for international DELF (B1, B2) exam to gain an international diploma, as students have the right to study at French universities only with these international diplomas. The paper discusses the pedagogical technologies that are used at French classes to prepare students for academic mobility, namely: multi-level training, problem-oriented learning technologies, collaborative training, project-based studies, game-based learning technologies, information and computer technologies. The teacher should choose such teaching methods that would allow the students to show their activity and master the practical aspects of a foreign language.

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Correspondence to Natalia V. Kraysman .

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Kraysman, N.V., Shageeva, F.T., Pichugin, A.B. (2021). Modern Pedagogical Techniques in Teaching French to Prepare Engineering University Students for Academic Mobility. In: Auer, M.E., RĂĽĂĽtmann, T. (eds) Educating Engineers for Future Industrial Revolutions. ICL 2020. Advances in Intelligent Systems and Computing, vol 1329. Springer, Cham. https://doi.org/10.1007/978-3-030-68201-9_11

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