Analysis of Iranian Writing Performances in Virtual and Real Environments

سال انتشار: 1391
محل انتشار: اولین همایش ملی تحقیقات در زمینه آموزش زبان انگلیسی، مترجمی و زبانشناسی
کد COI اختصاصی: RTETL01_059
زبان مقاله: انگلیسی
تعداد مشاهده: 376

نویسندگان

Department of Foreign Languages, Sheikhbahaee University, Isfahan, Iran

چکیده

Writing has always been considered an important literacy skill for foreign/second language learners. The Internet provides such unique applications for the writing skill as weblogs, wikis, and socialnetworking Web sites. Up to now, researchers have put their focus on the learners’ performances inthe traditional paper and pencil environment or wikis and blogs; it is time to also consider learners’ performances in the social networking Web sites. In this respect the purposes of the present studywere: 1) to identify the most frequent Iranian learners’ errors in the virtual environment of socialnetworking Web sites 2) to compare Iranian performances in the traditional and virtual environments. With respect to the requirements of the research questions, this study had two phases of data collection. For the first phase, the researcher selected 30 Iranians, female and male, aged 18 to 21from one of the social networking Web sites and collected a 3200 word corpus from among their comments and wall posts. All of the learners were students of Computer Engineering and IT. For thesecond phase of the study, another 3200 word corpus were collected from 30 Iranians, male andfemale, aged 18 to 21 who were studying Computer Engineering and IT at Sheikhbahaee University who were asked to write an essay on an assigned topic. The analysis of the results revealed that most Iranian participants’ errors were verb forms, dictions, prepositions, articles, plural ‘s,’ quantifiers, andrelative pronouns in the virtual environment of social networking Web site. Based on the results of the t test, Mann-Whitney, and Chi-square tests interesting similarities and differences were observed within and between error groups in each corpus.

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