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Individual differences in personality traits can influence students' ability to learn a new language. Among the important personality traits, perfectionism has recently been the topic of investigation in second language acquisition research. Following this line of research, the current study aims at examining a path model linking dimensions of perfectionism to second language (L2) listening comprehension through mediating effects of subscales of self-efficacy along with the use of metacognitive listening strategy (MLS). A sample of 230 English as a foreign language (EFL) participants majoring in Translation studies and English Literature completed the perfectionism, general self-efficacy, and MLS questionnaires and took an IELTS listening comprehension test. The sample included 112 juniors (48.7 %), and 118 seniors (51.3 %) selected through convenience nonrandom sampling. Cluster analysis was used to identify three perfectionistic clusters: adaptive, maladaptive, and non-perfectionists. The results of a path analysis revealed that perfectionism and MLS use were the most significant variables in the proposed conceptual model. While correlational analyses in this study revealed significant relationships among self-efficacy components and listening comprehension, the overall total effects were not significant. Adaptive perfectionism significantly contributed to the MLS use and listening ability (LA). Perfectionism also contributed significantly to the effort and persistence self-efficacy components. In contrast, perfectionism did not significantly influence the initiative self-efficacy subscale. Implications of this study are discussed.

The COVID-19 pandemic has affected many countries all over the world. Most universities and institutions throughout the world offer online instruction to avoid disruptions in education during this global pandemic. This qualitative study investigated Iranian EFL university lecturers’ perspectives toward online instruction during the Coronavirus pandemic. Based on a researcher-developed protocol, semi-structured interviews were conducted with 13 university lecturers from Karaj and Science and Research Branches of Islamic Azad University, in Karaj and Tehran, Iran, whose teaching experiences ranged from 7 to 27 years, to identify their perspectives toward online instruction during the COVID-19 outbreak. The interviews drew upon emergent methodology to categorize the interviewees’ value-laden comments into four major attitudinal themes, namely,change in pedagogy with four subthemes of online teaching software, synchronous versus asynchronous teaching, benefits of online instruction, and university lecturers’ challenges regarding online instruction; supporting students with two subthemes of establishing rapport and positive relationship with students and student engagement; ethics in online instruction with a subtheme of assessment in an online environment; and the future of online instruction with two subthemes of university lecturers’ suggestions or recommendations regarding online instructionand changes in learning approaches after the COVID-19 pandemic. The findings demonstrated that Iranian EFL university lecturers require professional training on the latest technology updates for online instruction. Further, the adequacy of technological infrastructure and free internet access could facilitate online instruction during the COVID-19 outbreak. Thus, universities and educational organizations are expected to promote the infrastructure and provide a variety of internet access alternatives.  

Investigating the processes underlying test performance is a major source of data for supporting the explanation inference in the validity argument (Chappelle, 2021). One way of modeling the cognitive processes underlying test performance is through the construction of a Q-matrix, which is essentially about summarizing the attributes explaining test takers’ response behavior. The current study documents the construction and validation of a Q-matrix for a high stakes test of reading within a generalized-deterministic inputs, noisy “and” gate (G-DINA) model framework. To this end, the attributes underlying the 20 items of the reading comprehension test were specified through retrospective verbal reports and domain experts’ Delphi techniques. In the ensuing stage, the Q-matrix thus developed along with item response data of 2625 test-takers were subjected to empirical analysis using the procedure suggested by de la Torre and Chiu (2016). Item-level results showed that, except for one item, the processes underlying the other items were captured by compensatory and additive models. This finding has significant implications for model selection for DCM practitioners.

L2/FL writing ability, which per se includes many different types, is considered a major skill in academic settings. However, little research has been done in this area and even less has focused on the effectiveness of task-based writing instruction on the two specific kinds; namely, referential writing and expressive writing. To this end, 60 English Translation sophomores of both genders were selected and divided into two classes after ensuring their homogeneity through the Quick Placement Test (OQPT). For the pre- and post-tests, the participants were required to take IELTS writing tests requiring referential and expressive types of writing. As for the treatment of the study, all participants were instructed based on the same content materials of advanced writing and a task-based framework. The results of the statistical analysis indicated significant improvements in the participants’ writing abilities in referential and expressive written tasks. Besides, the effectiveness of task-based writing techniques was approved in terms of referential and expressive types of language functions in the academic writing of Iranian EFL learners.

Changes caused by the COVID-19 pandemic have tremendously affected different aspects of education and have shifted the traditional face-to-face approaches to online learning. As a non-innovative mode of learning, online teaching and learning have created a new cultural ambiance since teachers and students have to change shortly. The present study draws upon the Community of Inquiry (CoI) framework combining teaching, social, and cognitive presences to explore students’ online learning experiences. It aims to assess the interrelationship among presences of CoI and find out which presence is a major factor influencing cognitive presence. A total of 207 university students participated in this study. Data was collected using the Community of Inquiry Survey Instrument and quantitatively analyzed through Multiple Linear Regression (MLR) and descriptive statistics.The obtained results indicated that teaching, social, and cognitive presences are correlated, and social presence has a significant impact on students’ learning process. This has a wider implication for online teachers to create more activities and motivate the students to communicate and participate openly in social interaction.  

This study aimed to investigate the effect of the Flipped Learning Pattern (FLP) in terms of the Problem-Based Teaching Approach (PBTA) on the participants’ self-management, desire for learning, and self-control in learning English. The research design was quasi-experimental using pre-test and post-test. The participants were selected via cluster sampling from the English learners enrolled in Aladdin center in the 2018-2020 academic year. They were randomly divided into experimental and control groups (n=320). To collect the data, the self-directed learning questionnaire of Fisher, King, and Tague (2001) was used. The questionnaire contains 52 items and three subscales of self-management, desire for learning, and self-control. Findings showed that there was a significant difference in the effect of the method on three subscales of self-directed learning in the experimental and control groups. The results indicated that the value and acceptability of the pattern improve self-directed learning; and choosing the right teaching method with conscious design will have a great impact on learners’ high levels of learning English skills. Therefore, follow-up studies are necessary to investigate further the application of FLP in terms of PBTA in various lessons.

The study of lexical bundles, known as fixed phrases, chunks, clusters and multi-word expressions, has attracted considerable attention. While there has been much research on lexical bundles across different registers and a number of disciplines, their deployment in some special sections of research articles as the most high-stakes genre has not yet been well explored. Accordingly, the present study aimed at identifying 4-word lexical bundles by analyzing the data obtained from a collection of the abstract and conclusion sections of 1000 English research articles written by L1-persian and L1-English writers in AL and IT , as published between 2015 and 2019. The researchers used Antconc software to analyze the data composed of about 600,000 words; then, the functional analysis was carried out based on Hyland's (2008) framework. Overall, the analysis revealed that AL writers outweighed their IT counterparts in their use of lexical bundles. Also, L1-persian writers used more lexical bundles in the abstract section; despite this, both writers used the same number of bundles in the conclusion section. In addition, both AL and IT writers had a similar use of the three main functional categories; however, there were substantial differences and similarities in regard to these two parts of research articles. The findings of this study can help writing instructors to improve students' academic writing. They can enhance their abilities to better comprehend the role of lexical bundles in different genres and sub-genres.

This study aimed at investigating the interrelationships between EFL teachers' mindsets, self-efficacy, and emotional experiences and Iranian EFL learners' willingness to communicate (WTC) and L2 motivational self system (L2MSS). The participants of this study were 100 Iranian teachers and 501 students of the same EFL teachers, both male and female randomly selected from high schools. To fulfill the purpose of the study, teachers were asked to complete four questionnaires to measure their implicit theories of intelligence, efficacy, and emotional experiences including their burnout symptoms. Learners were required to complete two questionnaires to measure their willingness to communicate and L2 motivational self system. The results of Structural Equation Modeling (SEM) revealed a significant structural relationship among all variables. Results also indicated that motivation was the strongest direct predictor of willingness to communicate. WTC was also indirectly correlated with teachers' implicit theories, efficacy, and emotional experiences through the mediating effect of L2MSS.

The present study aimed to analyze the postmodern features of Slaughterhouse-Five , authored by Kurt Vonnegut, and its two Persian translations by Bahrami and Abbasi. To this end, Lewis’s classification of postmodern features (2011) and Parham’s model (2015) were employed. The features investigated in this study were temporal disorder, fragmentation, vicious circles, paranoia, reader involvement, polyvocality, pastiche, and intertextuality. The results indicated that most postmodern features were preserved in both translations. However, the absence of several fragmentations and intertextuality features in Persian translations can imply the translators' unawareness of the significance of translating these features. To translate these features into the target text, translators should be aware of their impacts on the text, content, and audience. To translate postmodern features more precisely, it is suggested that postmodern features be taken into consideration by literary translators and translator trainers. The findings of this research can have implications for literary translators, and literary translation classrooms.