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"English Language and Literature" courses are essential components of university education. They provide a significant avenue for understanding the politics, economics, and customs of English-speaking countries. These courses facilitate a mastery of English grammar, which in turn enhances students' comprehension of spoken and written English content. However, traditional modes of instruction in English Language and Literature often lack engagement and interactivity, thereby limiting the effectiveness of learning in this field. In order to boost learners' interest and efficiency in studying English, it is imperative to shift away from conventional teaching approaches. With the rapid advancement of artificial intelligence in various domains, its integration with English Language and Literature education can yield intelligent learning experiences. This study employs a combination of Convolutional Neural Networks (CNN) and Gated Recurrent Units (GRU) to reform the teaching model in English Language and Literature. The results indicate that CNN and GRU methodologies offer substantial support in realizing intelligent approaches to teaching this field. These methods exhibit a high degree of similarity and accuracy in predicting linguistic features in English Language and Literature. They excel in terms of predictive and scatter error distribution, showcasing superior performance.  

This study sought to identify the challenges and needs of TOEFL iBT candidates in achieving C1 level scores in the speaking and writing sections of the exam. To this end, the researcher employed a mixed-method approach to collect data from a population of 46 students, both male and female, between the ages of 22 to 30. The participants were enrolled in two TOEFL preparation classes at Universidad Nacional de Educación. The data were collected through a survey, class observations, and TOEFL speaking and writing mock tests, and were subsequently analyzed both qualitatively and quantitatively. The findings indicated that the participants encountered challenges in discussing unfamiliar topics fluently, struggled with producing language at the C1 level while employing a variety of grammar and vocabulary, and demonstrated reduced accuracy due to influences from their first language (L1). To address these challenges, it is recommended to offer a bridging course prior to exam preparation courses wherein the primary focus is devoted to enhancing candidates’ accuracy and communicative competence in discussing unfamiliar topics through corrective feedback. The findings of this study could offer valuable insights to TOEFL iBT test preparation instructors, enabling them to better understand the challenges students face and plan strategies to address these challenges effectively within preparation courses.

Second language (L2) researchers often rely on quantitative methods and measurement instruments like questionnaires and scales to explore latent constructs. They usually borrow sophisticated statistical techniques from disciplines like psychology and education to conduct quantitative analyses in L2 research. However, there are growing concerns about the inappropriate use and reporting practices of such statistical procedures like exploratory factor analysis (EFA). This study aimed to describe and evaluate the methodological issues in EFA research practices, examine the relationship between study features and outcomes, and improve future L2 research practices. This study presented the results of a methodological synthesis study on exploratory factor analysis use published in five universally reputable psychology-related journals since 2000. Specifically, the researchers identified 93 EFA studies and developed a coding scheme of key EFA considerations to analyze how EFA was used and reported in these articles. The article discussed the several results and provides essential recommendations for L2 researchers intending to employ EFA in their works.

This study aimed to explore the effect of multimedia glosses on the vocabulary acquisition of Iranian intermediate EFL learners. The program employed in this study provided the learners with glosses for words in the form of sounds and videos. The participants were 40 intermediate EFL learners studying English at a private institute in Esfahan. The participants were assigned to experimental and control groups. Participants were given the exact reading context from a software called "Tell Me More." The experimental group had access to multimedia glosses for unknown words. The learners were granted access to the glosses by clicking on the highlighted words. The control group, regarding the clarification of the unknown word lexis, received help from the researcher through the conventional method and had access to a dictionary. After 10 sessions, a vocabulary test was given to experimental and control groups. The application of an independent t-test indicated that the performance of the participants exposed to multimedia glosses was significantly superior to that of the control group. The present study offers valuable insights for CALL material designers in selecting the optimal combination of modalities to facilitate L2 vocabulary acquisition.

The advent of AI technologies has been influential on the quality of language learning in EFL contexts. A plethora of studies have explored the employment of AI bots in academic writing. Yet, exploring the strategies employed by Iranian EFL learners while using an AI bot to complete academic IELTS writing task 2 has been underestimated. To address the lacuna, this qualitative study computer-recorded eleven participants’ interactions with AI bot to identify the strategies they employed to complete academic IELTS writing task 2. The researchers intended to clarify the intricacies of the human-AI interactions and infer the potential contributions of AI bots for academic writing in EFL settings. The findings revealed that despite the employment of several strategies by the participants to compose high-quality writing tasks, none of them fully trusted the AI outputs to use them without post-editing. They considered the AI bot as a writing assistant, used some revised segments of AI responses and added their own words respectively. The pedagogical implications for language teaching in general, and IELTS-oriented practices in particular to take advantage of the emerging AI technologies for better educational outcomes are provided. Moreover, avenues for future research on AI-assisted Language Learning (AILL) are suggested.

Objective: This study explores the effect of recruiting topics highly valued by students along with the interest-igniting mode of reading texts in the site of practice, collectively framed as funds of identity (FoI), on willingness to read (WTR).Methods: To this end, three groups of students were recruited. Over a 17-session extracurricular experiment, all the three groups received books in and out of tune with their FoI, elicited through an initial-semester researcher-made questionnaire. One group (n = 20) received e-books with few interactive features, the second group (n = 20) received e-books with no interactive features, and the third group (n = 20) received print books. WTR and attitude changes toward e-books were assessed using initial- and final-semester questionnaires. Students were also required to send summaries of their readings and keep journals throughout the experiment. They finally gave a post-treatment interview.Results: Qualitative sets of data in juxtaposition with quantitative ones lent support to the positive influence FoI and e-books—as on-site emerging FoI—exercised on WTR and attitude change toward e-books.Conclusions: FoI operationalized through e-books increased learners' WTR. In light of the patterns of changes observed, FoI of students are suggested to be taken into consideration for obtaining better educational results.

Perceptions have absorbed scholarly scrutiny within the domain of Second Language Acquisition (SLA) due to their potential to significantly impact learning behaviors. Hence, this study investigated female English as a Foreign Language (EFL) teachers’ and learners’ attitudes toward patterns of Corrective Feedback (CF) and Collaborative Writing (CW). This study involved 150 EFL female learners aged between 14 and 20 along with 40 EFL female instructors at Iran Language Institute (ILI) in Urmia, Iran. The learners filled out the adapted version of Loewen et al.’s (2009) CF scale that encompassed 24 items. Additionally, a CF questionnaire, developed by the researcher, was administered to the teachers that comprised of 14 items. Furthermore, a CW questionnaire adapted from Aghazadeh et al. (2022) involving 8 items were administered among the learners and the teachers. To supplement the quantitative data at the end of the study, semi-structured interviews were conducted with the participants. The outcomes demonstrated that both teachers and learners had a positive attitude toward CF and CW. The theoretical and practical implications of the study were accordingly discussed.

Using Kane's interpretive argument model and Messick's validity argument approach, this study rigorously examined faculty and PhD candidate’s perspectives on PhD admission interviews in Iranian universities. We interviewed 10 professors and PhD interviewees which provided comprehensive insight into nuanced perspectives. We conducted rigorous content analysis to identify prevalent themes, forming a strong foundation for our analysis. This study emphasizes the vital requirement for standardized evaluation criteria, robust support systems, and an enhanced interview process to ensure fair and inclusive admission systems. Additionally, our development of guidelines based on Toulmin's reasoning model underscores the originality of our contribution and its potential to benefit stakeholders and the Ministry of Science, Research, and Technology (MSRT) in Iran. The findings highlighted the importance of standardized criteria, support, and a stronger interview process for fairness and inclusivity in selecting PhD candidates. Faculty stressed clear guidelines to remove subjectivity, while candidates voiced concerns about unclear expectations and proposed added support like mentoring and preparation programs. Based on Toulmin's reasoning model, the study crafted validity argument guidelines for this context. As a result, these proposed changes will impact stakeholders and the MSRT by enhancing the PhD candidate evaluation process and ensuring a fairness and inclusivity. This study provides valuable insights to improve PhD admission procedures at Iranian universities by integrating standardized criteria, enhancing support mechanisms, and fostering fairness in decision-making.

This research paper delved into the critical issue of applying English as a Lingua Franca (ELF) assessment principles in local English language tests used for non-native English speakers in Iranian language institutes. A qualitative content analysis was made on 60 local tests, dissecting them into domains, dimensions, and rating rubrics to scrutinize their alignment with ELF assessment principles. The study unveiled that despite some alignment with ELF assessment principles, key aspects like local communicative context, intercultural competence, and linguistic diversity are often overlooked. In particular, writing and reading tests failed to fully reflect these principles, and listening and speaking assessments showed biases towards native English varieties. The study provides crucial insights for test developers to foster a more nuanced and accurate assessment of non-native English speakers' abilities. Moreover, it highlights the need to embed ELF principles into test construction, argues for broader assessment scopes and a focus on locally relevant tasks, and contributes to more equitable and contextually relevant English language proficiency tests by emphasizing linguistic diversity in assessment frameworks.

Construct-irrelevant variance is considered as a major threat to validity which indicates the existence of additional unrelated variables that distort the meaning of test scores and cause the test to be biased. Differential item functioning (DIF) analysis is an important technique in examining the validity and fairness of educational tests. Concerning the importance of test fairness in large-scale exams, this study aimed to (1) detect gender DIF in the reading comprehension section of the B2 First exam using the Rasch model and Mantel-Haenszel method, and (2) investigate the comparability of results from the two DIF detection techniques. To this end, the reading section of the B2 First exam was administered to 207 undergraduate students of English as a foreign language (EFL). After checking the fit of the data to the Rasch model, the results of the Rasch model-based DIF analysis showed the presence of two items indicating DIF, whereas the results of Mantel-Haenszel showed that there were three gender-DIF items.

Cloze tests are commonly used in language testing as a quick measure of overall language ability or reading comprehension. A problem for the analysis of cloze tests with item response theory models is that cloze test items are locally dependent. This leads to the violation of the conditional or local independence assumption of IRT models. In this study, a new modeling strategy is suggested to circumvent the problem of local item dependence in cloze tests. This strategy involves identifying locally dependent items in the first step and combining them into polytomous items in the second step. Finally, partial credit model is applied to the combination of dichotomous and polytomous items. Our findings showed that the new strategy results in a better model-data fit than the dichotomous model where dependence is ignored but with a lower reliability. Results also indicated that the person and item parameters from the two models highly correlate. The findings are discussed in light of the literature on managing local dependence in educational tests.

Many aspects of EFL teaching are negatively influenced by professional identity challenges which are not effectively responded to by EFL teachers. Considering this, few studies, however, have been conducted on EFL teachers’ professional identity challenges, and especially on their gender-specific challenges, and factors which can facilitate their professional identity construction. Therefore, this study, benefitting from a narrative inquiry method and using semi-structured interviews, aimed to examine the professional identity gender-specific challenges of six institute EFL teachers. The findings of this study showed that EFL male and female teachers were different in relation to the professional challenges they faced and a number of factors had caused this. Based on the overall findings, it is recommended that EFL teacher educators become aware of the challenges faced by teachers and factors which can affect their professional identity construction. Additionally, they need to help EFL teachers reduce the destructive effects of professional identity challenges by facing them and turning them into opportunities for learning. 

Due to time constraints and large classes, teachers typically prefer to have product-based writing classes. Going through the existing literature, almost no study has examined the interrelationships among four variables of strategy use, self-efficacy, language proficiency, and writing autonomy in product and process writing classes. To this end, 381 Iranian male and female EFL students of English majors were chosen from the Universities of Qom and Kermanshah.  OPT and the questionnaires were distributed in person, via email, and an already-made Google-Doc link of the instruments. The data were analyzed using multiple correlation and SEM. Multiple correlations pointed to two-way correlations among the included variables in the process-oriented group in comparison to the product-oriented groups. In other words, learners in the process-based group appeared to be more autonomous, more self-efficacious, and more proficient language learners and could make more appropriate use of L2 strategies. The findings obtained from SEM also revealed the fact that the model of relationships among self-efficacy, autonomy, language proficiency, and strategy use enjoyed a good fit. Teachers will be able to make more informed and proper decisions regarding the adoption of either process-based or product-based instructional approaches to teaching writing in their own classes in general, and the way students’ levels of self-efficacy, autonomy, language proficiency, and strategy use can be boosted in particular. 

Teachers play a pivotal role in the instruction-assessment process. Knowing EFL teachers’ conceptualizations of the role of assessment as well as their own role in the implementation of assessment is very critical. Accordingly, the current study aimed to compare Iranian EFL public high school teachers’ literacy and perceptions of dynamic assessment with those of English language institute teachers. In so doing, 45 (23 high school, 22 institute) English teachers, teaching in Lahijan, Iran were selected according to convenience sampling method. The teachers were invited to cooperate and participate in the study and fill out the questionnaire sent via social network like WhatsApp and Telegram. In addition, nine teachers (five high school, four institute teachers) were selected through purposive sampling to participate in a semi-structured interview with five questions posed through the above-mentioned social networks. A researcher-adapted questionnaire with 23 items in a Likert-type scale was utilized to collect data. The validity and reliability of the questionnaire were achieved through experts’ opinion and Cronbach Alpha, respectively. Having collected the data, descriptive and inferential statistics of the findings showed that although both groups of teachers had a realistic view about the application of dynamic assessment due to its practicality and social acceptance, the teachers in two different contexts of teaching had different rates of literacy and perceptions of dynamic assessment. Furthermore, the difference in the two groups of teachers’ perceptions of dynamic assessment practicality was significantly different. The institute teachers enjoyed a higher average of both literacy and perceptions of dynamic assessment practicality in their classrooms. This study echoes the teachers’ voices, and as in the wake of new forms of curricular policy in many parts of the world, teachers are increasingly required to be agents of change that would hopefully encourage change at the discipline and in the institutional level.