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This study aims to investigate the digital literacy of Iraqi Kurdish English as a Foreign Language (EFL) teachers. The study employed a quantitative approach with a sample of 418 participants, consisting of 228 females and 190 males, who teach English at Middle school, High school, and University levels. A targeted sampling was used to select the participants. A questionnaire designed by the Cambridge Assessment Center was used to explore the participants’ digital literacy. It was designed based on the Cambridge English Digital Framework for Language Teachers. The gathered data were analyzed using an independent sample t-test to compare the digital literacy of male and female Iraqi Kurdish teachers, and a one-way ANOVA test to explore any significant differences caused by different academic levels of the participants. The results showed statistically significant differences between male and female teachers in all six categories, except the evaluating learning category which deals with assessing digital resources and tools for language teachers. The results of the ANOVA test showed that there was not any significant difference between the digital literacy of middle school and high school teachers. However, it was found that the university lecturers were significantly more competent users of digital literacy skills than the middle school and high school teachers. The results also revealed that in general the Iraqi Kurdish EFL teachers demonstrated an average level of digital literacy and thus suggested more educational and technological support for the teachers at various levels across the region.

The present paper reports a study conducted among Iranian English as a foreign language (EFL) learners, addressing the critical issue of imagined identity/community within a globalized world. The concepts of “imagined identities” and “imagined communities” (ICs) refer to the internalized self-conceptions learners develop regarding who they aspire to be and the broader social groups they envision themselves as part of in the context of language learning, respectively . Drawing on Norton’s (2000, 2001) framework of ICs, this study focused on the diverse imaginations that Iranian EFL learners possess while learning English. The study involved five participants, aged between 13 and 36, and employed a qualitative approach utilizing semi-structured interviews for data collection. Through these interviews, rich narratives illustrating the learners’ unique perspectives emerged. The findings revealed that while the imagined identities/communities differed among participants, a common thread was their significant influence on guiding learners through the language learning process. Moreover, the research indicated that a lack of awareness regarding learners’ desired membership in their ICs could detrimentally impact their engagement and commitment to language learning, often resulting in various forms of non-participation in the classroom. Pedagogical implications of the study for EFL teaching practices, emphasizing the importance of creating classroom environments that validate and support learners' ICs and foster their imagined identities/communities as essential components of effective language instruction, are discussed. The study also offers recommendations for future research endeavors to further explore the dynamic interplay between imagined identities/communities and language learning outcomes.

The integration of generative AI like ChatGPT into EFL pedagogy presents both opportunities for fostering higher-order thinking skills and risks to academic integrity. A research gap exists regarding the simultaneous impact of ChatGPT on the crucial triad of critical thinking, creativity, and self-reflection within the Indonesian EFL context. This study aimed to fill this gap by quantitatively measuring the effect of ChatGPT on these skills and qualitatively exploring students' perceptions of the learning process. The study used a mixed-methods sequential explanatory design. Participants were 100 undergraduate students, randomly assigned to either an experimental group (n=50) or a control group (n=50). Data were collected using three validated instruments: the Critical Thinking Scale, the Creative Thinking Scale, and the Reflective Thinking Scale. In addition, a semi-structured interview guide was used to obtain qualitative data. Quantitative data were analyzed using ANCOVA, and qualitative data using thematic analysis. The findings revealed that the ChatGPT group achieved statistically significant gains in critical, creative, and reflective thinking scores compared to the control group. Qualitative results revealed a duality in student perceptions; they valued the AI for fostering skills through idea generation and safe practice, but expressed concerns about risks such as cognitive offloading and skill atrophy.

Online collaborative writing (OCW) is an essential pedagogical method in higher education, promoting learner interaction and shared responsibilities in academic writing tasks. While previous research has explored learners’ perceptions of OCW across various academic writing genres, there is a lack of investigation into how OCW impacts higher education students’ perceptions of their research article abstract writing performance. Utilizing an OCW perception questionnaire and semi-structured interviews, this study aimed to gauge the perceptions of 20 Iranian PhD TEFL candidates regarding an online collaborative academic writing course focused on writing research article abstracts. Quantitative and descriptive analysis of the questionnaire data and qualitative thematic analysis of the interview questions revealed that participants held positive views of technology-mediated writing instruction. However, they noted challenges faced, such as connectivity issues, software glitches, or time management. Besides, they offered recommendations, including exerting more rigid rules and defining more online assignments for the betterment of such online courses. The findings underscore the necessity of integrating technology-based writing instruction into teacher training programs to equip educators with essential skills for effective implementation. Besides, given the participants’ favorable looks towards interactive platforms like Google Docs, conducting joint research article writing programs can enhance the collaborative writing experience, ultimately leading to better academic outcomes for doctoral candidates.

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.

Language learning is a multifaceted process influenced by a range of cognitive, emotional, and psychological factors. This study explores the relationships among spiritual intelligence (SI), foreign language enjoyment (FLE), and willingness to communicate (WTC) among Iranian high school learners of English as a Foreign Language (EFL). A quantitative approach was employed, utilizing structural equation modeling (SEM) to analyze data collected from 280 high school students in Kerman Province, Iran. The participants, selected through convenience sampling, included 78 males and 202 females, with ages ranging from 16 to 19 years. Data were gathered using three validated instruments, i.e., a WTC questionnaire, an SI scale, and an FLE scale. The findings reveal robust positive correlations among the three constructs, with both SI and FLE emerging as significant predictors of WTC. Additionally, a strong interdependence was observed between SI and FLE, highlighting their mutually reinforcing roles in shaping learners’ communicative tendencies. These results underscore the importance of integrating psychological and emotional dimensions into language education, offering valuable insights for educators seeking to enhance learners’ willingness to engage in communication.

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.

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.

Two of the models in the Serial Optimality Theory in which derivational paths compete and are evaluated by Prec(a, b) family of constraints are Optimality Theory- Candidate Chains (OT-CC) and Optimal Interleaving (OI). The former operates exclusively at the level of phonology, while the latter postulates the interplay between morphology and phonology. This article presents a case study of vowel harmony in Kalhori Kurdish that necessitates a level where phonological and morphological processes alternate to account for both the application and lack of application of a phonological process. In Kalhori Kurdish, the features of [o] are spread regressively all the way to the leftmost edge of the verb; however, this is not the case when the coordinating conjunction clitic [=o] is added to the verb. The analysis of the data collected from 15 Kalhori Kurdish speakers revealed that OT-CC cannot simultaneously explain the root-prefix vowel harmony and the absence of this process between the clitic and the verbal ending, unless the morphological information is duplicated at this level. However, benefiting from the possibility of morphological processes alternating with the phonological ones, the OI model successfully explains both the presence and the absence of the vowel harmony

As the aftermath of globalization and the increased demand for localized information, translation assumed a significant position in the world of news. Due to this close connection, in recent years, journalistic concepts such as gatekeeping and framing contributed towards much interdisciplinary research in the field of translation studies. Nevertheless, many other topics have remained untouched by translation scholars, one of which is the seminal concept of news value manifested in the linguistic and semiotic dimensions of news products. Exploring news values and their relation to translation offers potentials for a better grasp on the nature of translated news and the process of news translation in newsrooms worldwide. Consequently, the headlines of 120 translated news pieces related to two international conferences were analyzed using Bednarek and Caple’s (2017) discursive news value analysis framework. These news headlines were published on four renowned Iranian news websites from 2021 to 2023. The results revealed that these websites construct similar patterns of news values and establish eliteness, negativity, and superlativeness more than other news values in their translated headlines. This was an indication of the lack of originality among news websites in reporting international events and also their orientation toward following a predetermined ideological positioning. As a whole, the present research is a true interdisciplinary one attempting to learn about the construction of news values in the context of Iran and translation discourse and unveil news agencies’ motivation in linguistically constructing and establishing these values.

This study examines the influence of output-based podcasts (OBPs), the mediating effect of funds of identity (FoI), and teacher corrective feedback (CF) on L2 speaking of Iranian pre-intermediate learners and their willingness to communicate (WTC). The study also surveys the attitudes of the experimental groups toward OBPs and CF, as well as their probable attitude and WTC changes over time. To these ends, 60 participants were randomly divided into two experimental groups (the OBPs + CF and theOBPs – CF group) and a control group. Podcasts were created based on themes congruent and incongruent with students' FoI. The data was collected through pretest, immediate and delayed posttests, (attitude, WTC, and FoI) questionnaires, reflective journals, as well as an interview. Results demonstrated that OBPs improved the experimental groups’ speaking ability. Moreover, CF pushed learners to perform better. FoI also proved to be pivotal in triggering learners’ WTC. Learners had positive attitudes toward OBPs and FoI in improving their speaking skill. Furthermore, learners’ WTC changed positively over time as a result of creating podcasts. Integrating FoI into creating podcasts improved learners' performance, increased their WTC, and brought them more satisfaction. As such, OBPs based on students' FoI are suggested to serve as an alternative teaching method to traditional lecturing.  

The flipped classroom model has gained traction in language education; however, its application within English for Specific Purposes (ESP) remains underexplored. The present study investigates the impact of flipped classroom instruction on ESP students’ reading comprehension with a focus on their attitudes toward the model. Adopting a quasi-experimental methodology, the study utilized pretest and posttest assessments alongside a 15-item Likert-scale questionnaire to gather data. The research sample comprised 21 second-semester ESP students from Guilan University majoring in Cellular and Molecular Biology, who engaged in a 10-week intervention. Pre-class preparation included instructional videos and reading materials, while classroom activities centered on group discussions and practical problem-solving tasks. Findings demonstrated a substantial enhancement in posttest scores, validating the approach as effective for improving reading comprehension. The survey results revealed highly positive student attitudes, particularly in terms of engagement, autonomy, and collaborative learning. These findings highlight the potential of the flipped classroom model to address the unique academic requirements of ESP students by blending discipline-specific resources with interactive learning strategies.

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.