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ФОРМИРОВАНИЕ КОММУНИКАТИВНО-РЕЧЕВОЙ КОМПЕТЕНЦИИ СТУДЕНТОВ КАФЕДРЫ Р The formation of verbal communication for students of Russian Language Department at College of Languages at University of Baghdad by using multiple technological means
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В статье рассматривается вопрос об использовании мультимедийных средств для оптимизации процесса формирования коммуникативной компетенции  в иракской аудитории с привлечением компьютерных технологий. Статья посвящена  использованию мультимедийных технологий  и  различных  приемов формирования интереса к русскому языку. Включение в процесс обучения коммуникативно-значимого, аутентичного страноведческого и культурологического материала способствует совершенствованию коммуникативно-речевой компетенции студентов и повышает мотивацию к изучению русского языка.

Abstract

This research deals with the use of multiple means to increase the process of forming verbal communication for students of Russian Language Department by using computer technology.

The research discusses the use of various techniques and different methods to increase students' desire and motivation to study Russian language.

The use of technical means with real cultural and linguistic contents in learning process contributes in improving the verbal communication of students and enhances their motivation to study Russian language.

There are many technological applications that help us in learning languages. Here are three useful areas from which we can start: Watching TV with translation into a foreign language.

It is not surprisingly that watching movies and TV programs in the language they are learning is an excellent way to enhance the skills of listening to native language, which contributes in proficiency of language.

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Publication Date
Wed Jan 01 2014
Journal Name
Journal Of The College Of Languages (jcl)
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Sun Mar 03 2013
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This deals with estimation of Reliability function and one shape parameter (?) of two- parameters Burr – XII , when ?(shape parameter is known) (?=0.5,1,1.5) and also the initial values of (?=1), while different sample shze n= 10, 20, 30, 50) bare used. The results depend on empirical study through simulation experiments are applied to compare the four methods of estimation, as well as computing the reliability function . The results of Mean square error indicates that Jacknif estimator is better than other three estimators , for all sample size and parameter values

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Mon Jan 02 2017
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