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This quasi-experimental study investigated the effectiveness of integrating flipped learning (FL) with self-regulated learning strategies (SRL) to enhance medical students' argumentative writing (AW) skills. Participants included 240 senior medical students with intermediate English proficiency from an Iranian university, divided into an experimental group (FL with SRL, n = 120) and a control group (FL without SRL, n = 120). Over one semester, using Zimmerman's SRL model, the intervention aimed to develop students' AW skills through a structured FL approach. Results showed significant improvements in AW skills for both groups (p < 0.001), but the experimental group exhibited greater gains (t = 6.22, p < 0.001). The study also examined the impacts on the claim and qualifier elements, as per the Toulmin model, revealing differential improvements, with qualifiers showing larger gains (p < 0.001). The SRL intervention significantly enhanced students' self-reported SRL skills, particularly in motivation, planning, learning assessment, and self-directedness (p < 0.001). Overall, the findings offer insights into optimizing FL with SRL for AW development in medical education.

Dictation is a method in which learners receive speaking input which can foster their writing skill, so this quasi - experimental study attempts to investigate the role of classroom dictation activity as a kind of dicto-gloss on improving accuracy and complexity of written performance between Iranian male and female EFL learners. For this aim, 40 male and female learners were chosen out of 59 students. Then, by administrating a Preliminary English Test (PET) 40 homogeneous participants were selected as final sample of this study. The first language of the learners was Azerbaijani Turkish and they were intermediate-level learners. Then, they were randomly divided into two intact groups, one consisting of 20 male students and the other one 20 female students. Before manipulating treatment, the participants took part in the pretest to check their accuracy and complexity of their written performance. After 10 sessions, they took part in the post-test. The data collected in this study were analyzed through independent samples t-test. Both groups in the post test had higher scores in accuracy and complexity than the pre-test. However, the findings revealed that female group significantly outperformed the male group on the post test, in terms of both their accuracy and complexity of written performance. In conclusion, it could be stated that classroom dictation activity as a kind of dictogloss can be effective method that can enhance Iranian EFL learners’ accuracy and complexity of writing. The results of the study would be significant for EFL/ESL teachers, English language institutes, and teachers.

House wives hold a specific position at home, as it is known to everyone. This study aimed at investigating the effect of virtual English language teaching on Iranian house wives’ emotional regulation, anger control, and domestic violence. In so doing, a quasi-experimental pre-test post-test control group design was used. The target population of this study included all Iranian house wives. From the population, about 60 Iranian house wives from different cities of Iran were selected through available sampling. The participants were randomly divided into two groups namely, the experimental and control groups. The required data were collected through the following instruments: The Persian version of Anger Control Questionnaire, developed and validated by Buss and Perry (1992); the Domestic Violence against Women, developed and validated by Mohseni Tabrizi et al. (2011) in Persian; and the Persian version of the Emotional Regulation Questionnaire (Garnefski et al., 2003). The findings confirmed a significantly positive impact of virtual English language teaching on Iranian House wives’ emotional regulation, anger control and domestic violence. The findings have implications for top-level educational authorities, social emergency administrators, and future researchers.

This study provides a comparative analysis of the rhetorical, pragmatic, and semantic strategies used by English-speaking and Arabic-speaking politicians to manipulate their audiences. By examining political speeches from both linguistic contexts, the research reveals distinct cultural patterns in manipulation. English-speaking politicians often employ direct, fact-based appeals (logos), while Arabic-speaking politicians rely more on emotional and collective identity appeals (pathos). These strategies reflect the cultural and linguistic norms of each group. Additionally, the study highlights the evolving impact of digital media on political communication, showing how manipulative strategies have adapted to new technological platforms. The findings have important implications for political communication strategists, media professionals, and educators. They underscore the need for culturally nuanced communication strategies in cross-cultural political discourse, offer insights for enhancing public media literacy to combat manipulation, and provide a framework for further research into the role of digital platforms in shaping political rhetoric. Additionally, the study highlights the evolving impact of digital media on political communication, showing how manipulative strategies have adapted to new technological platforms. The findings have important implications for political communication strategists, media professionals, and educators. They underscore the need for culturally nuanced communication strategies in cross-cultural political discourse, offer insights for enhancing public media literacy to combat manipulation, and provide a framework for further research into the role of digital platforms in shaping political rhetoric.

This study evaluated the validity of group dynamic assessment (G-DA), grounded in Vygotsky’s (1987) Sociocultural Theory, implemented in a class of intermediate learners to assess and promote L2 listening comprehension. To navigate the dual goals of assessment and instruction, flexible mediation attuned to the zone of proximal development of the learners was provided within the G-DA interactions. This led to the detection of nine mediational strategies. The validity of these G-DA interactions was explored by extending Poehner’s (2011) validation model to classroom setting. Poehner’s (2011) model includes two interrelated foci for DA validation: micro and macro-validity. Following Kane's (2021) argument-based approach to validation, evidence-based arguments were developed to explore the appropriateness of each mediational strategy given to the learners (micro-validity) as well as the success of that mediational strategy and the entire G-DA procedure in promoting learners’ L2 listening comprehension (macro-validity). Class transcripts were analyzed to gain evidence for the micro- and macro-validity of the G-DA interactions. The findings supported the usefulness of Poehner’s validation model in developing validity arguments to determine the appropriateness of the interpretations made about learners’ abilities and the effects of the G-DA procedure on their development. Moreover, the study concluded that the analysis of learners’ independent performance needed to be added to Pohener’s macro-validation model so that it becomes applicable to G-DA

Iran Language Institute (ILI) plays a crucial role in teaching English in Iran and offers a comprehensive Teacher Training Course (TTC) for the teachers before their being employed. Still, these teachers encounter difficulties in different areas, but there are few studies investigating the teaching challenges of EFL teachers teaching at ILI. Thus, this study investigated the teaching challenges of newly-hired and experienced teachers, teaching at different age levels. The data were gathered data through 100 classroom observation forms belonging to 18 kids’ teachers, 47 young-adults’ teachers, and 35 adults’ teachers (69 experienced and 31 newly-hired). We also interviewed with 5 kids’ teachers, 5 young-adults’ teachers, and 6 adults’ teachers. It was revealed that young-adults’ teachers faced fewer challenges than kids’ and adults’ teachers. Besides, experienced teachers encountered fewer problems than newly-hired teachers. The results of the observation forms were different from the interviews. However, time management was the only problem which was mentioned in the interviews, observation forms, and different age levels. According to the teachers, the reason behind these challenges was the intensive syllabus, old books and videos, and teachers’ having to follow a series of fixed teaching steps.

lexical diversity of argumentative and narrative writings of L2 learners, and the contribution of syntactic complexity and lexical diversity to the writing quality in the L2 argumentative and narrative writings of EFL learners. To this end, 46 pre-intermediate and intermediate Iranian EFL learners from four intact classes wrote one argumentative and one narrative essay in L2, and one argumentative and one narrative essay in L1 on different topics. Paired-samples t-tests revealed that lexical diversity surfaced more in the L1 writing of the learners. Multiple linear regressions indicated that among five measures of syntactic complexity, mean length of T-unit and clauses per T-unit better predict the quality of argumentative writing. In addition, complex nominals per clause are better predictors of narrative writing quality. Simple linear regressions showed that lexical diversity is a significant predictor of L2 writing in both genres. Based on the findings, writing instructors are advised to provide L2 learners with explicit instruction on the use of diverse vocabulary and different syntactic structures in order to help them improve the quality of their writing.

This study investigated the effects of three vocabulary development strategies of keyword method, thematic clustering and developing morphological awareness on the Iranian EFL learners’ vocabulary repertoire. Adopting a quasi-experimental design, sixty high-intermediate to advanced Iranian EFL learners were randomly assigned to three experimental groups and partook six online sessions of vocabulary instruction during a week. Using a pre-test and three post-tests, the vocabulary repertoire of the subjects was measured. The pre-test was administered a week before the commencement of the treatment sessions; the first post-test was administered immediately after each treatment; the second post-test was held 24 hours after each treatment and the third post-test was held one week after the end of the treatment sessions. Paribakht and Wesche (1993) model of measuring vocabulary enhancement was used to quantify the vocabulary repertoire of the subjects. Split-plot ANOVA test revealed that the subjects in the keyword group outperformed the subjects in the other two groups in all the three post-tests. Moreover, it was revealed that the thematic clustering group outperformed the developing morphological awareness group. The findings of this research may have pedagogical implications for English teachers, learners and material developers.

In recent years, Instagram has gained considerable attention in scientific research because of its popularity among English language learners. This study aimed to conduct a systematic review of empirical studies that investigated the use of Instagram as a mobile-assisted language learning (MALL) tool in ESL/EFL and attempted to perform a scientific mapping of the literature. To this end, a corpus of studies since 2010 was retrieved in January 2023 from six academic databases and reviewed through the stages of Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA). A critical appraisal of 48 experimental studies included in this review was carried out and a meta-analysis of 11 eligible studies was conducted. The results of the meta-analysis confirmed the significant effect size of the use of Instagram in ESL/EFL. The bibliometric analysis revealed that the research productivity is up and found writing and vocabulary skills as the main focus in most of the studies. This study could have implications for teachers and researchers to gain a broad overview of the integration of Instagram in English language teaching and to know the current research trends in the field for future research.

The significance of assessment as a learning component has led to the development of a sound assessment system that supports the teaching and learning objectives. Achievement of learning assessment should prioritize assessment as learning (AaL) and assessment for learning (AfL) rather than the assessment of learning (AoL). The appropriate AaL and AfL have influenced the process of AoL. Almost all teachers in Indonesia have faced the challenge of implementing Aal and AfL. This study used a qualitative study to report English as a Foreign Language (EFL) teachers' perceptions and challenges regarding technology-based AfL and AaL. The design of the study was content analysis using the coding procedure and the grounded theory framework as the analytical foundation. Data gathered involved conducting structured interviews with 60 EFL teachers from three central provinces within Indonesia. The findings revealed that EFL teachers in Indonesia had different perspectives about technology-based AfL and AaL as flourishing assessment approaches. Most of the EFL teachers' perceptions said that due to a lack of time, large classes, and lack of knowledge and training on technology-based AfL and AaL principles and practices in EFL contexts, implementation of technology-based AfL and AaL was viewed as challenging. The study has implications for EFL teachers and trainers in developing an instructional model of technology-based AfL and AaL.

Incremental intelligence plays an important role in self-regulating and enhancing writing performance among language learners. The present study aimed to investigate the relationship among variables of the incremental theory of intelligence, self-regulatory writing strategies, implicit theory of writing, and writing performance in EFL learners. To do so, 320 Iranian IELTS candidates were invited to participate in the study. Three questionnaires, namely incremental intelligence, self-regulatory writing strategy, and implicit theory of writing, were utilized. The participants included male and female IELTS candidates aged 19-27 years with a minimum band score of 6.5 in their writing skill. Furthermore, their educational qualifications included BA and MA degrees. The collected data were analyzed using SPSS and structural equation modeling (SEM). The correlation analysis showed that the incremental theory of intelligence had a significant relationship with self-regulatory writing strategy, implicit theory of writing, and writing performance. Moreover, the obtained results of SEM confirmed the findings of the correlational analysis, indicating statistically significant positive correlations among the variables of the study. The findings revealed that a growth-oriented mindset could affect students’ use of four types of self-regulatory writing strategies. Self-regulatory writing strategies also played a pivotal role in guiding, stimulating, motivating, and sustaining learners’ efforts, thus predicting writing performance. The results of this study can help EFL learners learn how to regulate and manage themselves in writing skills. Learners can assess the extent of their professionalism and endeavor to identify their weaknesses in the learning process.

The purpose of this study was to compare the functioning of five restrictive CDMs, including DINA, DINO, A-CDM, LLM, and RRUM, against the G-DINA model to identify the best-fitting CDM which can better explain the interaction underlying the attributes of the reading comprehension section of an Iranian high-stakes language proficiency test. To achieve this aim, item responses of 1152 examinees to the items of the test were examined. The six CDMs were initially compared in terms of relative and absolute fit statistics at test-level to choose the best model. It was found that the G-DINA model outperformed compared to the restrictive models; thus, it was selected for the second phase of the study. Concerning the second purpose of the study, the G-DINA was used to identify strengths and weaknesses of the examinees. The results revealed that making an inference and vocabulary are the hardest attributes for examinees of the test, and understanding the specific information is the easiest attribute. Finally, the models were also compared at item-level. The presence of a combination of L2 reading attributes was found.

Textbook evaluation is of paramount importance in ensuring that textbooks are of high quality and aligned with educational goals. This study evaluated two common English language textbooks in Iran (i.e., American English File [private schools] and Vision series [state schools]) based on the brainling (brain+ language) model, heeding EFL learners’ cognition, senses, emotions, and culture. To this end, a brainling-based scale was validated based on “cogling”, “emoling”, “sensoling”, and “cultuling” components of the brainling model and distributed among Iranian teachers (N=218) and EFL learners (N=236). It was found that there were significant differences in the brainling components present in English textbooks used in state and private schools. Moreover, the independent samples t-tests revealed that there were significant differences in mean scores for brainling components between the two types of textbooks for students. However, it is worth noting that such differences were not observed among teachers’ ratings of these components.  The results could assist content developers in incorporating brainling as a worthwhile scale for evaluating English language textbooks.