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News headlines like other pieces of writings use rhetorical devices. They are regarded as the initial informative and persuasive part of news stories. The goal of the present study was to analyze COVID-19-related native and non-native news headlines chosen from two main online news websites in Iran and England in terms of number and degree of utilization of sub-types of rhetorical devices. To this end, the 6-week corpus including 489 headlines relevant to corona-virus news (282 headlines selected from the BBC and 207 from the Tehran Times) were analyzed. Shams (2013) and Picello (2018) taxonomies were used to analyze all news headlines. The findings showed that ten rhetorical devices were found in these headlines. Alliteration was used most frequently, following closely behind were metonymy, rhyme, rhetorical question, depersonalization, hyperbole, metaphor, pun, cliché, and euphemism. Both alliteration and metonymy were frequently used in the headlines of the news stories. However, just simile and allusion were found in the Tehran Times headlines, but not with high frequency. The findings can provide insights into the understanding of rhetoric-specific conventions in news headlines for ELT teachers and students. Also, English teachers can use news headlines as authentic teaching materials in their language classrooms.

Although most EFL learners are equipped with a fair command of general English knowledge, they lack the sufficient proficiency required to communicate their thoughts and ideas fluently and accurately. This study was conducted to explore the impact of task-based language teaching (TBLT) on the development of EFL learners’ productive skills. The participants of this study were 25 undergraduate students majoring in English Language and Literature at a State University who had enrolled in a course entitled “Listening and Speaking (I).” The teaching method utilized for this course included three tasks (listening, writing, and speaking), and each task included three phases (pre-task, whilst-task, and post-task). For the purpose of data analysis, the researcher analyzed students’ four oral presentations and four writing assignments quantitatively and qualitatively. Furthermore, an attitude questionnaire was administered and a semi-structured interview was conducted to elicit the participants’ attitudes regarding (TBLT). The findings revealed that all the students could significantly improve their productive skills. Correspondingly, the results of the questionnaire and semi-structured interviews revealed participants’ positive attitudes regarding (TBLT). Students realized that developing their speaking and writing skills was a complex process, and through practicing, they could overcome their problems and enhance their fluency and accuracy.

Sentiment analysis, as one of the text-mining techniques, has been widely used in many research areas related to public opinions. The present work seeks to examine the reception of the translations of  Louis Cha’s martial arts novels in the English and French worlds through sentiment analyses of readers’ online book reviews in popular book reviewing websites such as Amazon and Belio. The results show that the English and French versions of Louis Cha’s martial arts novels are mostly well received by readers since both English and French readers had given the highest ratings to the narrative features, plots and characterization features of the translated novels. Furthermore, between the translations in English and French, the reception level of the Anna Holmwood’s English version is higher than that of the French version by Jiann-yuh Wang. Overall, the findings of the study suggest that translations maintaining original Chinese cultural elements have been well-received in the Western community.

The aim of the current study was to examine conjunctions in academic texts. The corpus included 200 conference abstracts, of which 100 were written by Iranian novice writers and 100 by English native speakers. Each group of texts consisted of 50 abstracts from soft sciences and 50 from hard sciences. Following Liu's (2008) taxonomy, the frequency and type of conjunctions were examined. The results revealed that non-native writers use more conjunctions in their conference abstracts. Furthermore, it was found that compared to hard sciences, more conjunctions are employed in soft sciences. Regarding the role of L1, the results showed that non-native writers in soft sciences are more likely to use conjunctions. Moreover, the findings indicated that the most frequent conjunction type used by both native and nonnative writers are adversatives and additives in soft sciences, and additives and adversatives in hard sciences, respectively. The findings of the study have implications for teaching academic writing and material development for writing courses.

New technologies can change everything in the world and people can have different reactions to them. Some people tend to use innovations but some people do not, due to the influence of different factors. Personality type can be considered as one of those factors that might have a relation with the feelings toward the innovations. Therefore, this paper explores the relationship between Iranian EFL teachers’ personality traits and their sense of technophobia and technophilia. Two hundred and ten Iranian EFL teachers participated in this study. The Big-Five Personality Traits Questionnaire (John & Strivastava, 1999) and Technophobia and Technophilia Questionnaire (Martínez-Córcoles, Teichmann, & Murdvee, 2017) were used in the current study. To find the answers to the research questions, Pearson correlation, Structural Equation Modeling (SEM), and independent-sample t-test were used. The results showed that all subscales of personality traits were negative significant predictors of technophobia except Neuroticism. Moreover, the results indicated a positive significant relationship between overall technophilia and all constructs of personality traits.

This study represents an investigation into the interplay of the English as a Foreign Language (EFL) teacher burnout and such teacher-related variables as emotional intelligence, personality traits, teaching experience, self-efficacy, school type, gender, academic degree and age. This is a research report of a study on 124 secondary school EFL teachers with BA, MA, and PHD academic degrees. Findings of correlation and sequential multiple regression analyses suggest that EFL teacher burnout is likely to result from several factors with emotional intelligence being by far the strongest predictor of them. It was also found that emotional intelligence and self-efficacy have a negative moderate correlation with teacher burnout. Strong correlations were also found between emotional intelligence and self-efficacy, age and self-efficacy, and age and experience. No significant relationship was found between burnout and age, experience or personality. Some critical points are raised for the education system in Iran and practical implications are suggested.

The present study aimed at investigating the effect of peer feedback (PF) on EFL learners’ writing performance and writing anxiety. To this end, two intact classes including 48 intermediate EFL learners were selected and assigned into two groups of experimental and control (24 learners in each). This study had a quasi-experimental design including pre-test, treatment, and post-test to assess the students’ overall writing performance before and after the PF sessions. For data collection, the researchers used pre-test, post-test, 7 writing topics, and Cheng’s (2004) Second Language Writing Anxiety Inventory (SLWAI). The results of paired sample t-test and Mann-Whitney U Test revealed that the experimental group outperformed the control group due to the implementation of PF. Moreover, the researchers conducted Cheng’s SLWAI questionnaire at the end of the study. The findings indicated that the anxiety level of the experimental group receiving PF decreased to a significant extent. The implications are discussed in terms of writing instructors’ use of PF into writing classes to make the environment safer and more comfortable for the language learners to flourish their ideas.

Placing non-native speakers of English into appropriate classes involves mapping placement test scores onto proficiency levels based on predetermined cut scores. However, studies on how to set boundaries for different levels of proficiency have been lacking in the language testing literature. A top-down approach to standard setting in which a panel of experts set cut scores has dominated the typical standard setting procedure. A less utilized approach is to proceed bottom-up by clustering learners based on test scores. The purpose of this study was to fill this gap by examining Education Testing Services (ETS)’s mapping of TOEFL® iBT Test scores to the Common European Framework of Reference (CEFR) levels. The study examined TOEFL® iBT score data from ICNALE (International Corpus Network of Asian Learners of English) and conducted optimal Kernel Density Estimation to find peaks in the distribution of test scores. In addition to the number of peaks, the local minima of the resulting distribution were chosen as boundaries of cut scores for delineating different ability groups. This method of separating scores, also known as contrasting groups, finds clusters of test takers based on maximum differences in scores. The results showed that ETS’ guide for cut scores linking to CEFR levels was comparable to Kernel Density Estimation with some exceptions, namely two out of three cut scores were found to be similar. Implications are discussed in terms of test-centered versus examinee-centered method of standard setting and the need to consider the demographics of the examinee population in determining cut scores.