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The present study scrutinized the probable significant correlation between Iranian language learners’ emotional intelligence (EQ) and reading proficiency. Moreover, the significant predicting role of the participants’ EQ for their reading comprehension proficiency was investigated. To this end, 196 Iranian B.A. English language teaching students at Islamic Azad university of Neyshabur attended the study. They formed unequal proportion of gender. The study followed a quantitative descriptive design, in which the significant correlation between the variables and the significant predicting role of EQ were investigated. As the normality of data was proved through Kolmogrow-smirnow test, the parametric statistical analyses, including descriptive statistics, Pearson correlation coefficient, independent sample T-test, and linear regression analyses were employed. The data collection instruments were an ETS TOEFL reading comprehension test and Bar On’s (1997) inventory of emotional quotient. The findings demonstrated significant positive correlation coefficients between the participants’ reading proficiency and overall EQ as well as most of its subcategories. Three highest positive significant correlation coefficients were seen among the participants’ reading proficiency level, happiness, problem-solving, and emotional self-awareness successively. The results of linear regression analysis also reflected that EQ significantly predicted the participants’ reading proficiency. No significant differences were found between the genders concerning EQ. The findings laid emphasis on the influential importance of psychological non-linguistic factors in improving linguistic competence of language learners. Language teachers should be acutely conscious of the highly influential role of psychological paradigms in boosting language learning process of language learners.

This study sought to determine the impact of self-regulation and emotional labor on reflective action among Iranian EFL teachers in online EFL classes using structural equation modeling. To achieve this, a combination of cluster sampling and stratified random sampling of 500 people was recruited. The participants were administered with the English version of Dutch questionnaire of emotional labor, Teacher Self-Regulation Scale and Teaching Reflection Inventory. After collecting data using three distinct questionnaires pertaining to latent variables, SEM analysis was conducted using IMB SPSS version 28.0 and Amos version 24.0 to analyze the path model relationships. To this end, a hypnotical model was proposed, evaluated, and specified to fit the data. The confirmatory factor analysis was employed to assess the hypothetical model by employing goodness of fit indices and analyzing all the convergences between the latent variables and the related sub-scales. According to the criteria for a good model's fitness, all of the model's values are above 0.90, indicating that the model has good fitness. And it was concluded that there was statistically significant relationships between the variables of the study.

In the increasingly interconnected world, English proficiency has become essential for developing technical skills and opening up global career opportunities. However, Iranian technical and vocational education (TVE) suffers from adequate attention to the English language for students’ specific fields of study and occupations. Accordingly, the present study aimed to bridge the existing gap in Iranian TVE through a comprehensive needs analysis and the development of a blended TBLT-based ESP course tailored to second-year vocational school students specializing in photography. Initially, needs analysis was conducted through interviews with TVE administrators at the Ministry of Education in Iran, experienced photography teachers, and photography students to develop the course. After the accurate investigation of fundamental course components, the course was implemented and its effectiveness and possible challenges were evaluated. The findings showed that photography students found the blended course effective in terms of learning photography terminology and tools in English, practicing photography and editing techniques, using multimedia and interactive games, and enhancing motivation and self-confidence. However, the students also encountered some linguistic and technological challenges. Ultimately, by contributing to the ongoing discourse on ESP course development, this study emphasizes the need for ESP courses and the preparation of students for future careers.

This study investigated the interplay of working memory capacity and language proficiency in the context of vocabulary acquisition through word-focused tasks. The involvement load hypothesis served as a theoretical framework, positing that the degree of cognitive engagement influences lexical learning outcomes. A total of 100 EFL learners participated in this study. They were divided into distinct groups based on varying levels of working memory capacity, language proficiency, and aspects of working memory (phonological short-term memory and executive working memory). The participants engaged in receptive and productive vocabulary tasks under different experimental conditions, including reading-only, reading plus blank-fill, and reading-plus production. The results revealed intricate relationships between working memory capacity, language proficiency, and vocabulary acquisition. While the efficacy of the hypothesis varied across conditions, its predictions were influenced by the nuances of individual cognitive capabilities and language competence. Learners with higher proficiency levels acquired more lexical items, both receptively and productively.  Although the difference with the phonological short-term memory was not significant, executive working memory was more facilitative of lexical gain. Additionally, the role of input modality in shaping vocabulary learning outcomes was highlighted. That is, reading plus production and blank-fill tasks resulted in more lexical gain than reading-only tasks.  The study contributes to the theoretical understanding of vocabulary acquisition by underscoring the complex interplay of cognitive processes and language factors. These insights hold implications for foreign language pedagogy, guiding educators in crafting more effective interventions for enhancing both receptive and productive lexical knowledge.

This study aimed to examine the impact of Group Dynamic Assessment (G-DA) on the listening comprehension of Iranian intermediate EFL learners. To this purpose, through the Preliminary English Test (PET) 140 Iranian EFL female learners in four English Language Institutes of Ahvaz, Iran, were tested, and 80 of them were selected as the sample of the study using convenience sampling. They were taught through group dynamic assessment. After the pretest and treatment sessions, the participants were given the listening comprehension post-test and the resultant scores were statistically analyzed to detect their development from pretest to post-test. The obtained results revealed that Group Dynamic Assessment (G-DA) had a positive impact on the participants’ listening comprehension. This finding implies that EFL teachers may need to consider the positive impact of dynamic assessment on EFL learners’ listening comprehension improvement and provide them with more opportunities to interact. They may also need to create a change in the traditional models of listening comprehension assessment which emphasize psychometric quantification of students' performances

The present study investigates the efficacy of preparation time in four speaking tasks of TOEFL iBT. As the current pre-task planning time offered by ETS is very short, 15 to 30 seconds, we intended to explore how the test-takers’ speaking quality would change if the preparation time was added to the response time, giving the respondents a relatively longer online planning opportunity. To this aim, two groups of TOEFL iBT candidates were studied under pre-task and online planning conditions. Totally, 384 elicited speaking samples were first transcribed and then measured in terms of complexity, accuracy, and fluency (CAF). The results yielded by a series of One-way MANOVA revealed the online planning group significantly outperformed the pre-task planning group in terms of accuracy and fluency across all four speaking tasks. Although with less robustness, the online planners had significantly higher speech complexity represented by lexical diversity and left-embeddedness. The results obtained through this study may challenge the efficacy of the currently provided preparation time in TOEFL iBT speaking subsection.

 Juxtaposing the ubiquitous facets of mobile technology as everyware (Greenfield, 2010) and vocabulary as one of the most axial aspects of language learning (Bowles & Cogo, 2016; Schmitt & Schmitt, 2020) , besides the importance of considering learners’ attributes and needs (Taghizadeh, 2019) while developing a mobile vocabulary application (app), necessitates analyzing the relationship and impact of all these elements in a single structural model. To tackle the issue, first, via a mixed-methods design, the researcher developed a bespoke mobile application using the task model and the principles of agile methodology. and then investigated the impact of using the app on a sample of 62 Iranian EFL university students’ vocabulary recognition and recall, the results of which were published in two other articles. In this study, the researcher integrated the obtained data within a proposed structural model and assessed the model's fitness to investigate the interaction and interrelationship among the latent variables mentioned above. The results obtained from SEM-PLS analyses revealed that within the unified structural model, the learners’ preferences and needs were favorably influenced by their learning style orientation and technology savviness. Similarly, the findings verified the positive impact of considering learners’ preferences and needs during the agile app development lifecycle on the target participants’ vocabulary knowledge, encompassing vocabulary recognition and recall. Finally, the fitness of the proposed structural model was verified based on the criteria for model assessment mentioned by Sparks and Alamer (2022) . The SEM-PLS data analyses and the implications of the study are presented and discussed.

The documentation of test takers’ achievements has been accomplished through large-scale assessments to find general information about students’ language ability. To remove subjectivity, Cognitive Diagnostic Assessment (CDA) has recently played a crucial role in perceiving candidates’ latent attribute patterns to find multi-diagnostic information rather than single proficiency classification. However, there are some gaps in the literature about in detail investigation of test takers’ listening comprehension language ability in responding to placement test items of a public English language center. The present study aims to validate an English placement test at a language center through a retrofitting process. In an exploratory mixed-method design, 449 participants from the same language center, including 274 females and 175 males, were selected. The performance of randomly selected participants in a language center placement test was analyzed by applying the GDINA model from R-studio packages, to detect Differential Item Functioning (DIF). Results of the study revealed DIF in some items since there is some bias in test items. The implication of this study is to provide meaningful interpretations of respondents’ attributes and improve teaching and learning by finding the strengths and weaknesses of candidates. For this purpose, the findings derived from the result of the study can raise the awareness of test developers in preparing unbiased items for the placement test, and at the same time, assist test-takers to become more critical of their English language achievements. It is also helpful for materials developers to become aware of developing materials free from bias.

Modern teaching practices emphasize learner autonomy and learner-centered approaches to language learning. Such teaching methods require corresponding assessment approaches. Self-assessment is viewed as an assessment mode which matches modern learner-centered teaching methodologies. However, the validity and reliability of self-assessments are not yet conclusively established. This study aimed to provide validity and reliability evidence for self-assessments among Iranian EFL university learners. The Common European Framework of Reference (CEFR) Self-Assessment Grid was translated into Persian and was given to a sample of Iranian undergraduate students of English. A C-Test battery containing four passages was used as a criterion for concurrent validation. Self-assessments of university EFL learners were examined for internal consistency and test-retest reliability. Findings showed that while self-assessments are highly reliable they lack validity as evidenced with low correlations between components of self-assessment grid and the C-Test. The implications of the study for the application of self-assessments in foreign language education are discussed.

Cognitive diagnostic models (CDMs) have received much interest within the field of language testing over the last decade due to their great potential to provide diagnostic feedback to all stakeholders and ultimately improve language teaching and learning. A large number of studies have demonstrated the application of CDMs on advanced large-scale English proficiency exams, such as IELTS, TOEFL, MELAB, and ECPE. However, too little attention has been paid to the utility of CDMs on elementary and intermediate high-stakes English exams. The current study aims to diagnose the reading ability of test takers in the B1 Preliminary test, previously known as the Preliminary English Test (PET), using the generalized deterministic input, noisy, “and” gate (G-DINA; de la Torre, 2011) model. The G-DINA is a general and saturated model which allows attributes to combine in both compensatory and non-compensatory relationships and each item to select the best model. To achieve the purpose of the study, an initial Q-matrix based on the theory of reading comprehension and the consensus of content experts was constructed and validated. Item responses of 435 test takers to the reading comprehension section of the PET were analyzed using the “G-DINA” package in R. The results of attribute profiles suggested that lexico-grammatical knowledge is the most difficult attribute, and making an inference is the easiest one.

This cross-cultural study aims to examine how Iranian and American motivational speakers employ metadiscourse devices as a convincing tool to interact with their audience. To this end, eight motivational speeches in English and Persian were randomly selected from 2015 to 2021, and analyzed for the use of stance (i.e., hedges, boosters, attitude markers, and self-mentions) and engagement (i.e., reader-pronouns, directives, questions, shared knowledge, and personal asides) expressions. The findings showed that self-mention and attitude markers were the most frequently used stance markers in English and Persian corpus, respectively. Moreover, hedges found to be the least frequently used stance markers in the two corpora. With regard to the use of engagement markers, results showed that reader pronoun is the most frequently used engagement markers, and shared knowledge and personal asides were the least frequently used engagement markers in both languages. Finally, the results of chi-square test showed statistically significant differences in the use of stance and engagement expressions in the two languages, confirming cultural septicity nature of metadiscourse markers, and that speakers of different languages employ interactional devices according to their context.