The ultimate goal of teaching foreign language is to achieve an elevated level of language competence via providing maximum language exposure and minimum learner mistakes. To fulfill the goal, many strategies have been developed. One of the strategies is the provision of feedback during the formal speaking courses. Nevertheless, format of the oral corrective feedback in English as a foreign language (EFL) classes has been controversial regarding methods of correction, timing of correction and target errors. Moreover, learner attitudes toward correction are deemed to be an important component. In this study, the aim was to investigate how and when the error correction should take place in EFL communicative classes based on students’ perspectives. A total of 65 students at Kafkas University who were pre-intermediate and intermediate levels were interviewed using a self-report questionnaire, 14 of which were discarded due to irrelevant and redundant replies. The results revealed that 90% of the learners would like to be corrected when they had errors during the process of speaking English. Majority of the students indicated the preference to be corrected after finishing turn with nice and friendly manners. The results indicated that teachers should be aware of student attitudes toward oral corrective feedback.

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Corpus can be described as a database for the purpose of research. Corpus studies have now been used in nearly every field of linguistics since the 1970s and gradually becoming a part of linguistic terminology. In present study cursing elements of Turkish language were searched employing Turkish National Corpus. Cursing is an interesting subject matter that attracts several areas of linguistics not only micro fields such as, semantics, and syntax but also macro divisions such as psycholinguistics, discourse and pragmatics. In this study, we attempt to investigate the unique features and the most common use of curse utterances in Turkish and variations across regions, to understand if social variables such as age, gender and education level have influence on what cursing structures are used, and to find out whether survey results and national corpus are consistent in curse utterances. Data was collected via Turkish National Corpus and survey was developed based on array of research questions and applied to 170 participants. The findings derived from corpus and survey indicate similar features as particular curse words such as beddua (cursing), kahretsin (damn) and bela (trouble-evil) observed more often than kargış (imprecation), ilenme (cursing), mahvetsin (ruin). In parallel with the survey result, the most frequently used curse utterances in the Turkish National Corpus were Allah belanı versin, Allah cezanı versin, kahretsin (damn you, God punish you, damn it). In addition, distinctive curse structures varying from region to region were conceived.

<p>This study aims to investigate the language and the attitude of two well-known U.S. politicians, U.S. President Donald Trump and Bernie Sanders, towards media in their social media messages on Twitter microblogging site. The comparison and analyses are performed using Fairclough’s analytical framework of the socio-cultural approach of Critical Discourse Analysis (CDA): text, discourse practice, and sociocultural practice. The data consists of 50 non repetitive recent media related tweets collected from personal accounts of Trump and Sanders. The findings indicate that Trump uses an informal, direct, and provoking communication style to construct and reinforce the concept of a homogeneous people and a homeland threatened by the dangerous and biased other (media) while Sanders having more democratic, liberal language, and focuses on more tangible, important social issues such as environment, education, and health problems as he himself prominences often. Moreover, Trump employs positive self-presentation and negative other presentation to further promote his agenda via social media. Bernie Sanders on the other hand criticize media for a set of different reasons. Although they both criticize the media extensively in their usage of Twitter, discourse analyses indicate that the underlying political motivations are fundamentally different.</p><p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0676/a.php" alt="Hit counter" /></p>