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This study delved into the interplay between Iranian EFL teachers' emotional intelligence and their classroom management styles. The study employed the Emotional Quotient Inventory (EQ-i) and the Competency and Behavior Management Survey (CBMS) to assess emotional intelligence and management styles of 110 EFL instructors from The Iran Language Institute. The findings revealed a statistically significant positive association between teachers' emotional intelligence and their preference for proactive classroom management strategies. Conversely, a significant negative correlation emerged between teachers' emotional intelligence and their inclination towards reactive management styles. Furthermore, the study identified a positive association between teachers' experience and both their emotional intelligence and their preference for proactive management. Additionally, teachers with master's degrees exhibited higher emotional intelligence levels, a stronger affinity for proactive strategies, and a weaker tendency for reactive approaches. These results hold significant implications for educators and teacher training programs. The study suggests a link between teachers' emotional intelligence and their successful implementation of classroom management strategies. This underscores the potential value of incorporating emotional intelligence development into teacher training programs, potentially enhancing future educators' ability to effectively manage their classrooms.

While gamification has been extensively examined as an innovative teaching strategy, its potential to strengthen reading comprehension, critical thinking, and self-directed learning (SDL) in Islamic higher education has not been fully explored. Much of the existing research focuses primarily on its motivational impact, with less attention given to how gamified learning management system (LMS) environments can simultaneously support cognitive and metacognitive development. To address this gap, the present study evaluated the effectiveness of an LMS-based gamified reading comprehension course on undergraduate students’ learning outcomes at STAI Diponegoro Tulungagung, Indonesia. A quasi-experimental design was applied, involving 70 students who were randomly assigned to an experimental group (n = 35) and a control group (n = 35). Data were collected through pretest and posttest on reading comprehension and critical thinking, a structured SDL questionnaire based on Garrison’s (1997) framework (self-management, self-motivation, and self-monitoring), and follow-up interviews with six purposively selected students from the experimental group. Results indicated that students exposed to the gamified LMS course showed significantly higher gains in comprehension, critical thinking, and SDL than those in the control group. Qualitative findings further suggested that gamification fostered continuous engagement and sustained motivation, though certain challenges, including technological constraints and external distractions. Overall, the study underscores the promise of integrating gamification into LMS-based reading courses to support cognitive, affective, and metacognitive advancement in Islamic higher education.

This study addresses a significant knowledge gap in understanding the effects of task-specific enjoyment and anxiety conditions on the language mindset of Iranian EFL learners in a listening course. Using a quasi-experimental design, 75 male high school students were divided into three groups: a task enjoyment (TE) group, a task anxiety (TA) group, and a control group. The TE group participated in a low-stakes, autonomy-based listening task designed to foster enjoyment, while the TA group completed a high-stakes, evaluative listening task intended to induce anxiety. Data were collected using standardized instruments, including the Foreign Language Enjoyment Scale (FLES), the Foreign Language Classroom Anxiety Scale (FLCAS), and the Language Mindset Inventory (LMI). A series of T-tests and ANOVA were conducted to analyze pre- and post-test scores across the three groups. Results showed that the TE group experienced significantly higher levels of task enjoyment and subsequently developed significantly stronger growth-oriented beliefs regarding overall linguistic intelligence and second language learning compared to both the TA and control groups. Conversely, the TA group exhibited significantly higher anxiety levels and a shift toward more fixed language mindsets. No significant differences were found between groups regarding beliefs about age sensitivity in language learning. These findings highlight the importance of considering task-related emotions in language teaching and suggest that fostering enjoyment through autonomy-supportive tasks can promote a growth mindset, while anxiety-inducing tasks may reinforce fixed beliefs about language learning.

Chez Elif Shafak, auteure, nouvelliste, essayiste, oratrice, spécialiste et activiste en sciences politiques, les dimensions de l’autobiographie ne se limitent pas aux confins d’une vie. En tant qu’une représentante des femmes écrivains, Shafak entreprend une quête plutôt plurielle pour découvrir son ‘moi’ physique, familial, social et historique qui serait celui de toutes les auteures ou bien toutes les femmes qui sont toujours entravées par les contraintes des sociétés patriarcales. Mais comment une auteure pourrait introduire la fiction dans l’autobiographie ? Shafak est arrivée à le réaliser ? Est-ce que le recours à la fiction et le passage de l’autobiographie à l’autofiction pourrait l’aider à mieux se découvrir et redéfinir les autres femmes, leurs limites et leur statut, sans avoir peur d’être jugée ? C’est la problématique que le présent article va développer, en s’appuyant sur quatre romans de Shafak, La Bâtarde d'Istanbul (2007), Lait noir (2009), Crime d’honneur (2013) et Trois filles d’Eve (2018).

AI in Language Teaching, Learning, and Assessment (2024), edited by Fang Pan, offers a comprehensive and insightful exploration of how artificial intelligence (AI) is reshaping language education. The book is thoughtfully divided into three well-structured sections Preview, Perspectives, and Practice, each addressing essential dimensions of AI integration. In the Preview section, Pan examines AI's transformative role in enhancing educational delivery and personalizing learning experiences, paving the way for greater efficiency and accessibility. Subsequently, the Perspectives section collates diverse global viewpoints that critically address challenges such as algorithmic bias, data privacy, and equity concerns. Finally, the Practice section offers evidence-based case studies, showcasing tangible innovations such as adaptive tutoring systems and AI-powered assessment tools, which have demonstrated real-world impact. More importantly, Pan strikes an impressive balance between highlighting AI's vast potential and scrutinizing its ethical and practical complexities. By combining theoretical perspectives, empirical findings, and practical applications, this book stands as an essential resource for educators, researchers, and policymakers, aiming to navigate AI-driven developments in language education with both responsibility and clarity.

This study investigated the developmental trajectory of Scalar Implicature (SI) comprehension in monolingual Persian-speaking children, examining how linguistic typology, contextual support, and cognitive abilities influence this process in a Subject-Object-Verb language. 60 children divided into 2 age groups (4-5 and 6-7 years), along with 20 adults, participated in a Statement Evaluation Task involving the quantifier "some" ("ba'zi"). The task was designed to evaluate whether participants interpreted "some" as "some but not all" in scenarios where the alternative "all" is true with two contextual conditions: Basic and Enriched, the latter increasing the salience of the "all" alternative. Standardized assessments of Working Memory (WM) and Theory of Mind (ToM) were also administered to explore cognitive correlates. Results showed a significant main effect of Age Group; older children demonstrated higher SI rates (mean=0.61) than younger children (mean=0.35), indicating a developmental increase in pragmatic competence. Moreover, contextual enrichment significantly enhanced SI rates overall, with older children benefiting more notably as evidenced by a significant interaction between age and context. Correlational analyses revealed that WM capacity (Backward Digit Span) was associated with SI performance in the Basic Context, whereas ToM scores correlated with SI rates in the Enriched Context, suggesting dissociable cognitive mechanisms underpin SI comprehension depending on contextual complexity. These findings supported a universal developmental progression from logical to pragmatic interpretations of scalar terms in Persian-speaking children, emphasizing the roles of WM and ToM in the emergence of pragmatic inference. Overall, the study highlighted how contextual cues and cognitive resources differentially facilitate SI understanding, lending support to resource-dependent models of pragmatic development.

Motivational intensity and enjoyment are considered two incentives that boost Willingness To Communicate (WTC), while boredom diminishes it. However, going through the existing literature, almost no studies have ever explored these interrelationships among the four variables -Boredom, WTC, Enjoyment, and Motivational Intensity- in the Iranian setting. To address this gap, 300 high schoolers between the ages of 11 and 19 took part in the study. Of those, 83 were beginners, 107 were intermediates, and 110 were advanced learners based on the results obtained from OPT (Oxford Placement Test). All the participants were surveyed using questionnaires administered via Google Docs. The study used Partial Least Squares Structural Equation Modeling (PLS-SEM) to interpret these statistics, revealing mediation effects and showing direct and total effects between motivational intensity, enjoyment, boredom, and WTC. Statistics confirmed that boredom had a notable direct impact on WTC, though its indirect effect through enjoyment was insignificant. In contrast, motivational intensity positively influenced the WTC through both direct and indirect pathways. The study suggests boosting motivation and enjoyment in second-language classrooms would dramatically enhance the learners' WTC in formal and informal settings. Teachers should be initiative and creative in designing fascinating and new classroom tasks, transform the class into a lively environment in which all students are actively involved in the interesting classroom activities in a relaxed manner, and promote a friendly and humorous group-work atmosphere so that classroom becomes a welcoming space where students learn without boredom or anxiety.

Few studies have addressed the interaction among reader and text variables in reading comprehension. This research probed the role of aspects of lexical knowledge to the TOEFL reading comprehension of passages with low and high lexical cohesion. The extent of this contribution was checked for five types of TOEFL reading test items: Main Idea, Stated Detail, Inference, Reference, and Lexical Inferencing. For this purpose, 60 Iranian English as a Foreign Language (EFL) took the New Vocabulary Levels Test (NVLT), Word Associates Test (WAT), and TOEFL reading comprehension tests with low and high lexical cohesion determined through the computational tool Coh-Metrix. Results of Wilcoxon signed-rank tests revealed that the students outperformed on three types of TOEFL reading items (Main Idea, Inference, and Lexical Inferencing) for texts with high lexical cohesion. Multiple linear regression analyses further showed that vocabulary depth was a stronger predictor of the participants’ scores on Lexical Inferencing item of TOEFL reading texts with high lexical cohesion, while vocabulary size predicted the same item performance for the low-lexical-cohesion subtest. Moreover, vocabulary depth could significantly predict performance on Main Idea test item of TOEFL high-lexical-cohesion subtest over and above the low-lexical-cohesion subtest. The implications for teachers, test designers, and materials writers are discussed.

Language system is best considered as a stage on which ideology is represented while translation as a channel of interlingual communication and a socially contextualized enterprise is exposed to different ideological considerations. This exposure seems unavoidable whether the translation serves as a purposeful mental enterprise or the final product of a systematic process beginning with a source text (ST) and ending with a target text (TT). Anyway, the translator’s linguistic options are affected by some ideological orientations, manifested in varying degrees. This study aims at identifying and illustrating the degree of ideological skewness of the Persian translation of The Catcher in the Rye through the proposed model, including some distinctive ideology-bound features. A two-level assessment procedure at intra-textual and extra-textual levels was applied to the texts to identify their ideological trends. The findings individually analyzed considering the analytic model suggested the applicability of the proposed model to uncover the ideological underpinnings at play in the texts, which involved a possibly considerable degree of ideological skewness. Regarding the multi-dimensional essence of translation as a product and process, this study set out to reflect a perhaps more dynamic perspective of the ideological matters, yet it needs to be refined through further research.

In spite of the longitudinal attempts of the educational authorities, English has failed to have a proper position in the ELT educational system in Iran, resulting in the weak performance of Iranian EFL learners. As a result, this study was carried out to integrate sociocultural theory, multimodality theory, multiple intelligence theory, and social identity theory to develop a comprehensive conceptual model for understanding and overcoming ELT curriculum challenges. A transformative sequential mixed research design was adopted to explore the challenges, perceptions, and provision of the model. First of all, a total of 49 articles were selected from well-established journals to map the related challenges. The review and comparison processes were conducted based on Tricco et al.’s (2018) PRISMA_SCR model (thematic analysis). The extracted categories of challenges were explored in relation to the principles of the four mentioned theories, and nine categories were selected to align with the principles of the mentioned theories. Then, 403 participants from three categories of stakeholders (pre-service teachers, in-service teachers, and scholars) were chosen, and their perceptions were assessed through the administration of a researcher-developed Likert-scale questionnaire. Moreover, some interview questions were drawn up to guide the qualitative phase, and an observation checklist was developed to assist in monitoring ELT classroom practices (to confirm the extracted challenges and assure the validity of the questionnaire). The results, obtained through SPSS and SEM statistical platforms, revealed that all three groups of participants considered authenticity, lack of communicative skill, deficiency in teacher training programs, and malfunctioning assessment methods as the most important challenges. This study has highlighted the effect of the application of the principles of sociocultural and social identity theories in developing an optimal learning environment that is socially and culturally responsive. Moreover, the principles of multimodality theory have emphasized the positive effect of the application of different instructional resources in promoting engagement and development among EFL learners. On the other hand, the principles of multiple intelligence theory call for differentiated instruction and assessment to address various cognitive and emotional capacities of learners. By integrating sociocultural, social identity, multiple intelligence, and multimodality theories, this study has provided a holistic framework for reforming the most significant ELT curriculum challenges.

In the second language (L2) assessment realm, cognitive diagnostic assessment (CDA) emerges as an exceptionally practicable methodology, enabling a meticulous analysis of linguistic competencies and furnishing granular insights into learners’ proficiencies and deficiencies, thereby charting precise remedial pathways. The primary objective of this research was to develop a cognitive model of attributes underlying an International English Language Testing System (IELTS) assessment descriptor, namely grammatical range and accuracy. The model sought to enable the development of a diagnostic instrument informed by CDA, which would investigate candidates’ grammatical strengths and weaknesses to improve their performance in the IELTS. Through a multi-stage process involving qualitative data collection, interpretation, and synthesis, a comprehensive scheme emerged, categorizing cognitive attributes into two main areas: (a) knowledge of grammatical forms, including pronouns, determiners/quantifiers, adjectives, adverbials, nouns/noun phrases, verbs/tenses, and prepositions, and (b) familiarity with structural nuances, including punctuation and structural sophistication. These nine micro-level attributes comprised several sub-components aligned with three proficiency classes: A1-A2, B1-B2, and C1-C2. The model laid the groundwork for developing a three-booklet multiple-choice test. Alongside conducting pilot testing and item analysis, the study employed a saturated psychometric model to validate the CDA-informed instrument. The results confirmed the instruments’ internal consistency, validity, satisfactory fit, and effectiveness in classifying examinees based on attribute-specific mastery levels. The findings underscored severe weaknesses in punctuation, structural complexity, and verb tense usage, pinpointing crucial areas demanding targeted instructional enhancement. The theoretical implications highlight a refined understanding of grammatical competencies, while pedagogically, the results advocate for targeted teaching strategies.

Although there has been ample research on English as a Foreign Language (EFL) teachers’ formative assessment practice (FAP) and their agency separately, scant attention has been paid to the possible influence of teachers’ level of agency on their FAP. Accordingly, this study investigated EFL teachers’ FAP in the light of teachers’ agency. The initial participants, selected based on convenience sampling, comprised 180 male and female Iranian EFL teachers within the age range of 22 to 45. Their teaching experience fell between a few months to 21 years. The initial 180 teachers were given a Teacher Agency Questionnaire (TAQ) to determine teachers with high and low levels of agency. To this aim, 30 teachers who scored the highest and 30 who scored the lowest on the TAQ were selected. The 60 teachers were asked to fill out the Teacher Formative Assessment Practice Scale (TFAPS). Moreover, 15 teachers from each group were asked to take part in semi-structured interviews to explore their perceptions regarding their FAP. The results of parametric independent samples t-test revealed that teachers in the high-agency group scored significantly higher than their counterparts in the low-agency group in terms of both teacher-directed (p = .00<.001, effect size = 3.32) and student-directed FAP (p = .00<.001, effect size = 3.44). The descriptive and qualitative comparison of the thematic analysis between teachers in the high agency and low agency groups demonstrated marked differences both in the total number of themes and theme mentions as well as the theme contents between the two groups. Based on the findings, teacher educators are encouraged to enhance EFL teachers’ level of agency to improve their FAP.

Artificial Intelligence (AI) is affecting various aspects of education and there is a need to consider the consequences of this technological improvement on achievement and attitudes of the most direct stakeholders. Therefore, this study has focused on the effect of AI on teaching English with three key areas of concern: the effect of Chat-GPT-driven materials on learning outcomes, the attitudes of teachers who use Chat-GPT -informed pedagogy, and the students’ attitudes towards Chat-GPT-integrated materials. This study used a quasi-experimental intervention-based research design to achieve the intended objectives. Based on the type of educational institution, the participants were divided into three groups (90 students from Iranian language institutes, 100 students from public high schools, and 100 students from private high schools). Furthermore, fourteen teachers from these institutions shared their viewpoints on the use of AI, particularly Chat-GPT, in developing instructional materials. Pre- and post-tests were administered to check the effect of treatments on each group (based on the syllabus developed for those specific educational institutions). Moreover, two researcher-developed questionnaires were administered among teachers (composed of 27 Likert-Scale items) and students (composed of 23 Likert-Scale items). The obtained results indicated that Chat-GPT significantly improved EFL learners' performance in language institutions. Teachers looked upon AI with favor. This was based on its potential to change the produced educational materials and improve students’ engagement in the learning process. Students, in all three environments, looked positively toward Chat-GPT-driven materials. In short, this study showed the potential for AI to upgrade EFL teaching in Iran.

Few studies have explored how English-as-a-foreign-language (EFL) preservice teachers can do collaborative reflective practice (CRP) to enhance their knowledge and skills, using artificial intelligence (AI) tools. The main purpose of this study, adopting a basic interpretive qualitative design, is to investigate how CRP can be implemented with ChatGPT to develop preservice EFL teachers professionally. After selecting the participants through a purposive sampling procedure and exploring the perspectives of eight preservice EFL teachers and two teacher educators through narratives, interviews, observations, and group discussions, the data were analyzed through thematic analysis. The results of data analysis showed that employing CRP implemented in ChatGPT has the potential to provide several benefits, including the ability to contemplate new experiences, connect theory and practice, acquire knowledge and expertise, become critical and autonomous, embrace challenges and opportunities, improve professionally, socially, and emotionally, regulate emotions and thoughts, and foster creativity. Furthermore, the use of ChatGPT in CRP can function as a virtual mentor and collaborator to engage with preservice teachers, find problems and resolve issues, and enhance professional growth. The findings of the present study may carry implications for teacher educators and policy makers to enhance social and reflective practices as they integrate AI into teacher education programs to enhance preservice teachers’ cognitive and social functioning.

It is becoming an established strategy to add humor in Persian subtitles even often when the original dialogue does not include the created or any other humor. This study measures the impact of this strategy on viewers’ attention allocation while reading subtitles. The eye movements of 32 participants were recorded while watching a humorous and non-humorous version of the same scene extracted from Superchondriac (Boon, 2014), a French comedy. The results show that there is a significant difference between attention allocation in the two versions, and the viewers’ attention to the subtitles with added humor is significantly larger than non-humorous subtitles. The interviews showed that some viewers liked the added humor because they thought it is funny and close to their cultural and ideological views. On the other hand, some of the participants opted for the non-humorous subtitles because they thought the added humor was distracting, confusing, at times offensive, and detached from the original culture.