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Training Professional Vocabulary On-line when Studying “English for Special Purpose” in Technological University

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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 1328))

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Abstract

Development of information technologies makes it possible to carry out distance support of the course “English for special purpose” studied at Technological University. The purpose of the study is to analyze the system of mastering lexical skills, based on combination of online study and face-to-face classes which allows to take into account the individual trajectory of each student. The study examines the organization of work with professional vocabulary in the framework of distance support of courses “English for special purpose” for Masters (major “Chemical technology”) of Kazan national Research Technological university. Introduction and training of vocabulary is based on texts which are analyzed using the Flash Kincaid scale and processed later using the methods analyzed in the research. Introduction of new vocabulary online is carried out through visualization, word formation analysis and translation. Training lexical skills online is carried out through translation and training exercises (multiple choice, finishing a sentence, inserting a word), which are organized through the “test function”, as the possibilities of MOODLE are limited. Automated control of three types (diagnostic, intermediate and final) is used for assessment. The system of lexical exercises allows not only to understand the meaning of the unit in the context, but also allows students with a low level of English not to be behind the group. As a result, the average percentage of completion of the online final test raised from 70% to 80–85%.

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Correspondence to Elena Yurievna Semushina .

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Semushina, E.Y., Volkova, E. (2021). Training Professional Vocabulary On-line when Studying “English for Special Purpose” in Technological University. In: Auer, M.E., Rüütmann, T. (eds) Educating Engineers for Future Industrial Revolutions. ICL 2020. Advances in Intelligent Systems and Computing, vol 1328. Springer, Cham. https://doi.org/10.1007/978-3-030-68198-2_61

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