Cloud Computing for University Students’ Language Learning
Cloud Computing for University Students’ Language Learning

Summary/Abstract: In this article the impact of cloud computing has been shown and the empirical analysis of the effectiveness of the Quizlet service for students has been conducted. The research purpose is to study the cloud computing influence on professional foreign language learning for university students’ vocabulary development. The range of research methods (theoretical, empirical, and statistical) has been used to reach the research purpose and justify the research findings. To check the effectiveness of applying the Quizlet service in foreign language learning the empirical methods such as testing (written), observation were used as well as the pedagogical experiment, conducted with the law students. The statistical method helped to evaluate the results of the pedagogical experiment. A lot of vocabulary flashcards for the Quizlet service were created by the authors to develop law students’ legal vocabulary in English classes. Their activities and tasks include Flashcards (tasks: Match, Translate, Click card to see the definition), Learn (task: Match every term and definition correctly two times to finish), Write (task: Type the answer in English), Spell (task: Type what you hear), Test (tasks: Written questions, Matching questions, Multiple choice questions, True/False questions). The results of pre-test and final test in the experimental group proved the effectiveness of cloud computing for university students’ vocabulary development.

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