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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.

L2 Motivational Self System (Dörnyei, 2005, 2009) holds a remarkable potency in explaining the long-term routes to L2 acquisition. Meanwhile, due to the prevalence of dynamic systems perspective, the theory has been awaited to account for the affective and cognitive aspects of L2 learning. The present study attempted to test an integrated model to examine the correlations between components of the revised L2MSS, L2 emotions of Enjoyment and Boredom, Intended Learning Effort, Vigilant and Eager L2 Use, and L2 Proficiency utilizing structural equation modeling. The data was obtained from 350 TOEFL test takers in ETS official centers in Iran. The results demonstrated the strongest prediction of Intended Learning Effort by Ought L2 Self/Own, coming next to the Ideal L2 Self/Own and Ideal L2 Self/Other. Ideal L2 Self/Own and L2 Learning Experience were positive predictors of L2 Enjoyment, whereas Ought L2 Self/Other and L2 Learning Experience had a positive and negative impact on L2 Boredom, respectively; L2 Enjoyment predicted Intended Learning Effort and Eager L2 Use positively, whereas L2 Intended Learning Effort Vigilant L2 Use were predicted negatively and positively by Boredom, respectively. Moreover, Eager L2 Use and Intended Learning Effort were positive predictors of L2 Proficiency; however, Vigilant L2 Use was conversely related to L2 Proficiency. Overall, the findings illustrate the superiority of a promotion orientation to L2 learning and the equal importance of quality and quantity of the Motivated Learning Behavior, which has significant pedagogical implications in terms of motivational and self-regulatory learning strategies in designing and managing L2 classroom tasks.

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.

This study explores how professional and student writers manifest their authorial identities and project their gender voices in their academic texts. To this end, 38 male-authored and 38 female-authored articles published in seven leading international journals were selected. Moreover, 38 articles written by male students and 38 articles authored by female students were collected from two universities in Iran. Taking an academic writing course, these students handed in their papers as term projects. These academic writings were analyzed based on Hyland’s metadiscourse framework comprising two major resources: interactional and interactive metadiscourse resources. The findings indicated the male authors mainly attended to discourse organization using more interactive resources while the female authors mostly solicited solidarity by employing more interactional resources. The professional authors engaged in a more critical stance using self-mentions and attitude markers and the students focused on discourse organization. Attitude markers and self-mentions, as markers of stance-taking, were absent in the students’ writing. The professional authors made use of their gender identity to promote their authorial identity instead of suppressing it. These results suggest that EAP programs should inform students how to employ both metadiscourse resources and their gender-based discourse choices to express their authorial identity more effectively.

There has been a debate over the use of genre-based pedagogy to develop university students’ ability to create valued meaning in academic writing. Some researchers support an implicit genre-based instruction while others support an explicit genre-based instruction. However, few empirical studies move beyond this debate to investigate the effectiveness of genre-based approach to developing university students’ academic writing skills. Therefore, this study investigates the impact of genre-based pedagogy in developing MBA students’ ability to construe critical stance in their writing. The data consisted of 28219 words corpus of 40 essay assignments, collected pre-genre-based course and post-genre-based course. Using Hyland’ s (2005) model of intersubjective positioning and Martin and White’s (2005) theory of evaluation in discourse, the data were analyzed for the distribution of hedges, boosters, attitude markers, and disclaim markers through manual coding using UAM corpus tool. The results showed a significant decrease in the use of key linguistic resources that function to make a text informal. In addition, the results showed a less significant increase and a less significant decrease in the use of key linguistic resources that function to construe critical stance in academic writing. These results have implication for the use of genre-based pedagogy in developing students’ ability to create valued meaning in academic writing. They show the extent to which genre-based pedagogy, implemented at the beginning or during subject learning, impacts students’ academic writing skills.

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.

Cognitive diagnostic models (CDMs) have received sustained attention in educational settings because they can be used to operationalize formative assessment to provide diagnostic feedback and inform instruction. A large number of CDMs have been developed over the past few years. An important component of all CDMs is a Q-matrix that specifies a particular hypothesis about the relationship between each test item and its required attributes. The purpose of this study was to construct and validate a Q-matrix for the reading comprehension section of the Islamic Azad University English Proficiency Test (IAUEPT), as an advanced English placement test designed to measure language ability of Ph.D. candidates who tend to pursue their studies in the IAU. To achieve this, using item responses of 1152 candidates to twenty items of the reading section of the test, an initial Q-matrix was constructed based on theories and models of second/foreign language (L2) reading comprehension, previous applications of CDMs on L2 reading comprehension, and brainstorming and consensus of five content experts. Then, the initial Q-matrix was empirically validated using the method proposed by de la Torre and Chiu (2016) and checking mesa plots, and heatmap plot. Five attributes were derived for the reading comprehension section: vocabulary, grammar, making an inference, understanding specific information, and identifying explicit information. Finally, the analysis of the Generalized Deterministic Inputs, Noisy “and” Gate (GDINA) regarding absolute fit at item- and test-level as well as three residual-based statistics showed the accuracy of the Q-matrix and a perfect model-data fit.

Predicting students’ performance in a course is one of the major aims of educational data mining systems. In the present study, two and three-layer artificial neural networks (ANN) and neuro-fuzzy systems (NFS) were used to predict Iranian EFL learners’ final scores and compare them with scores given by their instructor. Sixty-six students’ scores in an English reading comprehension course comprising of five sub-scores of midterm (out of 40), quiz (out of 60), final (out of 50), class participation (out of 5) and bonus (out of 2) were used for training the systems. Two and three-layer ANNs and an NFS were trained to predict students’ final scores using training data. Researchers compared the students’ final scores given by their instructor and those achieved through the ANNs and NFS. The results showed that the NFS could predict and deliver scores that were closer to the linear sum of students’ scores. Moreover, three-layer ANN had a better performance than the two-layer ANN. According to these results, data mining techniques could deliver an accurate estimate of students' abilities in a particular course.

Developing a learner’s ability to communicate in a second language is the goal of communicative language teaching (CLT). Many EFL teachers now accept and employ CLT as a teaching method. Although teachers’ views have a significant influence on how they practice CLT, there haven’t been many studies about teachers’ attitudes about CLT in a specific context, such as Iran. This was revealed through a study of related literature. The current study sought to examine how EFL teachers felt about CLT. The first aim of the present study is to ascertain how EFL teachers feel about CLT. Examining the fundamental causes of instructors’ attitudes is the second goal. Thirdly, determining whether there is a disconnect between instructors' perceptions about CLT and their classroom behavior. The researchers employed a mixed-methods strategy in this study. The study included 30 EFL instructors. Three phases made up the research design: firstly, a questionnaire for gathering quantitative data was used, then interviews and observations were used for gathering qualitative data. The findings of this study showed that, in general, EFL teachers had positive attitudes about the CLT’s tenets and exhibited CLT’s traits in their teaching. There was not much of a discrepancy between the teachers’ perceptions about CLT and their actual classroom actions. This study offers valuable insights that can inform curriculum development, teacher training, and policy decisions, ultimately enhancing the quality of English language education in Iran and similar contexts around the world.