Казанский (Приволжский) федеральный университет, КФУ
КАЗАНСКИЙ
ФЕДЕРАЛЬНЫЙ УНИВЕРСИТЕТ
 
RSS Ins Вконтакте twitter facebook
TEACHING ENGLISH TECHNIQUES BASED ON SELF-PERFORMANCE APPROACH IN RUSSIAN LINGUISTIC UNIVERSITIES
Форма представленияСтатьи в зарубежных журналах и сборниках
Год публикации2016
Языканглийский
  • Курмаева Ирина Ильдаровна, автор
  • Рахимбирдиева Ильмира Мухарямовна, автор
  • Хаймова Гузель Габдулнасовна, автор
  • Библиографическое описание на языке оригинала Rakhimbirdieva I., Kurmaeva I., Khaimova G. Teaching English techniques based on self-performance approach in Russian linguistic universities / I. Rakhimbirdieva, I. Kurmaeva, G. Khaimova // INTED 2016 Proceedings March 7th-9th. – Valencia, Spain, 2016. - p. 1795-1799.
    Аннотация The relevance of the problem under research is determined by the fact that in modern world of globalization and integration the knowledge of English as a global language is essential. Moreover not only the study of the language is important but the formation of foreign language competence as well. Consequently it leads to solution of some practical tasks. The aim of the given article is to implement innovative methods of teaching English in Russian linguistic universities based on self-performance approach using traditional didactic means. The authors consider such methods as quests, mind-mapping, brainstorming, debates, projects, role play. Methods of research are experiment, analysis and generalization of theoretical and practical data concerning the theme of the article. As a result a set of exercises based on self-performance approach intended for Russian linguistic universities was worked out.
    Ключевые слова self-performance approach, traditional approach, project method, web quest
    Название журнала INTED2016 Proceedings: 10th International Technology, Education and Development Conference
    Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку https://repository.kpfu.ru/?p_id=135223
    Файлы ресурса 
    Название файла Размер (Мб) Формат  
    1372.pdf 0,14 pdf посмотреть / скачать

    Полная запись метаданных