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A close look at the education system reveals that too much attention is attached to text while visuals, such as pictures and cartoons, are often deemed as “decoration”, or are not incorporated in the textbooks at all. Visual texts constitute a part of daily communication, which can potentially bear many layers of meaning. Such a complexity involved in visuals turns them into an ideal resource for not only L2 learning but also the improvement of intercultural communicative competence (ICC), along with cultural awareness. The status of cultural elements and representation of culture in English instruction has proved to be a tricky issue. This is mainly because of the diverse range of contexts where English is used on an international scale globally. Given the integral relationship between language and culture, it is essential to teach cultural elements in L2 classes, in particular, the representation of cultural values and elements as an integral part of the L2 curriculum of English language teaching (ELT). Furthermore, from a critical linguistics viewpoint, language textbooks should be viewed as social and cultural vehicles. Therefore, the incorporation of cultural symbols and raising cultural awareness are considered essential issues in ELT textbooks, particularly in the context of English as a foreign language (EFL). Furthermore, multiple approaches to the analysis of textbooks and cultural contents have been adopted by different researchers. Here, the present study is based on the core principles of semiotic analysis which implies that texts, pictures, and other modes of communication can be used as potential semiotic resources. This review study can yield important theoretical and pedagogical implications for researchers, L2 instructors, and the developers of ELT textbooks to take the images into account to represent culture in the textbook.

This paper reports on an investigation of native language-based differential item functioning (DIF) across the subtests of Iranian Undergraduate University Entrance Special English Exam (IUUESEE). Fourteen thousand one hundred seventy two foreign-language test takers (including four groups of Azeri, Persian, Kurdish, and Luri test takers) were chosen for the study. Uniform DIF (UDIF) and Non-uniform DIF (NUDIF) analyses were conducted on data from the four versions of IUUESEE. After establishing the unidimensionality and local independence of the data, DIF findings showed that Luri test takers were more advantaged than other native language groups across the subtests. NUDIF analysis uncovered that almost all subtests functioned in favor of low-ability test takers who haven’t been expected to outperform high-ability test takers. A probable explanation for native language-ability DIF was that Luri and low-ablity test takers were more likely to venture lucky guesses. Thoughtless errors and guessing, test-wiseness, overconfidence, stem length, unappealing distractors, and time were proposed as possible causes of DIF in IUUESEE. It was also found that the reading subtest included the large number of items with significant DIF.

Teachers serving at the front lines of education during difficult times of the pandemic seem to have been forgotten in these bustling days around the world. While delivery of high-quality education is on the shoulders of these people, their life and wellbeing have been affected as a result of the COVID-19 pandemic; however, there is little documented evidence on how the pandemic has impacted language teachers’ wellbeing. To fill this gap, this qualitative study examines the wellbeing of English as a Foreign Language teachers in Iranian public schools during the COVID-19 pandemic. Ten participants who attended in-depth interviews were found to have their wellbeing levels severely affected by the pandemic. Indeed, the newly emerged challenges have been added to the existing obstacles and augmented the already stressful teaching profession. Based on the findings, recommendations are provided for authorities and parents to be employed during the pandemic and afterward to help teachers flourish and subsequently improve quality education.

Critical cultural awareness (CCA) as an essential element of intercultural competence has attracted a myriad of scholars in the fields of language teaching, communication studies, cultural studies, gender studies, ethnic studies among others. That is why this study aims to investigate the attitudes of Iranian high school teachers and learners toward critical cultural awareness. The participants of the study included 307 teachers and 359 learners in different high schools in Qazvin. All the participants filled out the Critical Cultural Awareness Questionnaire. The data were then fed into SPSS software and were subjected to Principal Components Analysis. Three factors were extracted and named as CCA in ELT Programs, CCA in ELT Textbooks and Materials, and CCA in General Terms. The participants’ responses were analyzed based on these factors. The results of item analysis revealed that both teachers and learners indicated that all cultures should be equally addressed in ELT textbooks and materials. It was also concluded that the teachers' and learners’ awareness regarding the integration of culture into the mainstream teaching should be raised and they should put more emphasis on culture in their classes. One significant implication for EFL teachers and also syllabus designers is that an intercultural curriculum can enable learners to understand the target materials more efficiently.

Research has shown that classroom management plays a critical role in facilitating effective learning, making it a permanent concern for teachers as well as researchers. In the related literature, one area which needs further consideration is to explore the effect of different personal and contextual factors on the way teachers choose to manage their classrooms. Therefore, the present study aimed at exploring the effects of age, gender, teaching experience, teaching context, and academic degree on Iranian English teachers’ classroom management behaviors. To achieve this, a researcher-made questionnaire based on four classroom management questionnaires was developed. The questionnaire was distributed among 152 EFL teachers teaching in different settings in Iran. To analyze the obtained data, Point-Biserial correlation followed by an independent samples t-test, and one-way ANOVA were used. The results revealed that men and women were quite different with regard to the classroom management behaviors they showed. However, age, teaching context, teaching experience, and academic degree did not significantly affect teachers’ classroom management behaviors. Possible explanations of the results in light of the previous literature are further discussed.

Perhaps the degree of test difficulty is one of the most significant characteristics of a test. However, no empirical research on the difficulty of the MSRT test has been carried out. The current study attempts to fill the gap by utilizing a two-parameter item response model to investigate the psychometric properties (item difficulty and item discrimination) of the MSRT test. The Test Information Function (TIF) was also figured out to estimate how well the test at what range of ability distinguishes respondents. To this end, 328 graduate students (39.9% men and 60.1% women) were selected randomly from three universities in Isfahan. A version of MSRT English proficiency test was administered to the participants. The results supported the unidimensionality of the components of MSRT test. Analysis of difficulty and discrimination indices of the total test revealed that 14% of the test items were either easy / very easy, 38% were medium, and 48% were either difficult or very difficult. In addition, 14% of the total items were classified as nonfunctioning. They discriminated negatively or did not discriminate at all. 7% of the total items discriminated poorly, 17% discriminated moderately, and 62% discriminated either highly or perfectly, however they differentiated between high-ability and higher-ability test takers. Thus, 38% of the items displayed satisfactory difficulty. Too easy (14%) and too difficult (48%) items could be one potential reason why some items have low discriminating power. An auxiliary inspection of items by the MSRT test developers is indispensable.

Given that L2 engagement serves a vital role in students’ academic success, studying the predictors of this construct seems critical. Notwithstanding, factors influencing one’s engagement in an L2 context have remained unclear. To respond to this gap, the present research sought to unravel the effects of teacher support and teacher-student rapport on Iranian EFL students’ L2 engagement. To this aim, 216 Iranian students majoring in Applied Linguistics, Linguistics, English Translation, Teaching English as a Foreign Language, or English Literature were invited to cooperate in this investigation. To obtain the required data, three pre-designed scales were virtually distributed among the respondents. Then, through correlation tests, the association between teacher support, teacher-student rapport, and student L2 engagement was measured. Following that, the impact of teacher support and teacher-student rapport on Iranian students’ L2 engagement was assessed using Structural Equation Modeling (SEM). The correlational analysis uncovered a strong, favorable association between constructs. The SEM analysis also indicated that teacher support and teacher-student rapport can strongly influence Iranian students’ engagement in EFL classes. The implications of the results are further discussed.

A C-Test is a gap-filling test for measuring language competence in the first and second language. C-Tests are usually analyzed with polytomous Rasch models by considering each passage as a super-item or testlet. This strategy helps overcome the local dependence inherent in C-Test gaps. However, there is little research on the best polytomous Rasch model for C-Tests. In this study, the Rating Scale Model (RSM) and the Partial Credit Model (PCM) for analyzing C-Tests were compared. To this end, a C-Test composed of six passages with both RSM and PCM was analyzed. The models were compared in terms of overall fit, individual item fit, dimensionality, test targeting, and reliability. Findings showed that, although the PCM has a better overall fit compared to the RSM, both models produce similar test statistics. In light of the findings of the study, the choice of the best Rasch model for C-Tests will be discussed.

This quantitative study aimed to investigate Iranian EFL student teachers’ perceptions on the use of Machine Translation (MT) for foreign language learning in academic context. To this end, 107 EFL student teachers from a women-only state university in Tehran, Iran, completed a recently developed and validated questionnaire in the field. The findings revealed that most participants were familiar with digital technology including MT and its different types such as Google Translate (GT). Satisfied with MT output, the majority of the participants in the study installed MT apps on their smartphones or used its website on their computers to complete assignments or to translate from Persian to English and vice versa. However, they were neutral about whether their instructors confirmed their MT use, or whether they preferred their teachers know they use MT or not. They were also not sure whether consulting MT was against the regulations. The results showed that authorities in the field of foreign language teaching are required to take a positive stand on this emerging technology; in addition, considering the importance of training for both instructors and learners, they should hold workshops for more responsible and effective MT implementation.