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This study examines collegiality among Iranian EFL teachers by developing and validating the EFL Teacher Collegiality Scale (ETCS) through Mokken Scale Analysis (MSA). Collegiality, which we often understand as mutual respect, teamwork, and shared responsibility, is widely acknowledged as essential for promoting positive school environments and supporting teachers’ well-being. Specifically, collegiality supports teacher well-being, operationalized as job satisfaction, lower emotional exhaustion/burnout, and stronger professional efficacy. In Iran’s educational context, specific challenges make promoting teacher collaboration more difficult. To fill an important gap in the existing research, this study introduces a culturally adapted, reliable instrument designed to measure collegiality within this context. A cross-sectional survey using a 30-item ETCS was administered online to collect data from 170 teachers from various educational backgrounds. The ETCS is organized into three main areas: collaborative practice, professional support and mentorship, and shared professional development. The development process of the ETCS instrument involved expert review and back translation. Analysis showed that the scale has strong scalability and internal consistency, with high Mokken H coefficients across all subscales. The findings indicate that strong collegiality boosts teacher satisfaction, supports retention, and builds professional networks. Finally, this study provides practical strategies and a validated tool to improve EFL teacher collaboration and highlights online collegiality in remote or hybrid settings as a key topic for future research.

This study aimed to examine the cross-lingual recognition of French and English words and their pseudo-homophones to verify the presence of Grapheme-Phoneme Conversion (GPC) for the word recognition of foreign language learners. Considering the study's purposes, 100 Iranian advanced English and French learners were chosen and recruited for the study through the convenience sampling procedure. The participants' homogeneity and proficiency level were checked with the aid of an English proficiency test (McMillan Placement Test (MPT)) and a French proficiency test (Test d'Évaluation de Français (TEF)) before the examination phase. To investigate the participants' reaction times for recognizing the real words, illegal nonwords, and legal nonwords (pseudo-homophones), a computerized test was designed that sought the participants' judgments about the presented linguistic construct on the screen. The employed words were chosen according to their morphological complexity, frequency, and length from the learners' course books. Data analysis revealed that pseudo-homophones were more challenging for both English and French learners to recognize; this was shown by their higher reaction time needed for recognizing pseudo-homophones compared with the real words and the illegal nonwords. Although the occurrence of GPC for both groups was attested, it was significantly stronger for the French learners. These findings suggest that word recognition is inherently a phonological process (not an orthographic one) among foreign language learners. 

Education has evolved significantly over the centuries, ranging from the ancient and classical era to the Industrial Revolution, inclusive education, and technology integration. In the latter part of the 20 th century, technology was incorporated into education, starting with audiovisual aids and computer-based learning through to distance learning, online learning platforms, virtual classrooms, and collaborative tools, transforming education into a more flexible and accessible experience (Chiu et al., 2023; Ghahari & Nejadgholamali, 2019; Ng et al., 2023). Having emerged in the 2000s, personalized learning platforms and massive open online courses (MOOCs) offered free or low-cost online courses to a global audience and catered to individual student needs and learning styles. Finally and most recently, artificial intelligence (AI) has provided personalized recommendations, automated grading, and data-driven insights to optimize learning through such tools as Jasper, Sudowrite, Quillbot, and ChatGPT (Bates et al., 2020; Rahiman & Kodikal, 2024; Rospigliosi, 2023). The present handbook is a must-read for any aspiring teacher and researcher, providing a clear and concise guide on how to use ChatGPT in classrooms. It introduces ChatGPT as a cutting-edge tool that can revolutionize teaching and learning and spotlight the process rather than only the product. ChatGPT was created and offered by OpenAI as a pre-trained language model in 2022 and is an extension to a line of writing tools that build on Grammarly, the Hemingway app, Google Docs, Microsoft Word, etc. It is a variant of the GPT (Generative Pre-trained Transformer) model and is trained on a large dataset of conversational text. It is already reforming businesses and industries like higher education, similar to the printing press and the internet. At its core, ChatGPT uses AI to compose responses to queries spanning numerous topics. It can help educators optimize their classroom practices, particularly assignments, and evaluation, throughout the course rather than only addressing educational outcomes. Naturally, in education, the camps are divided between those opposing the use of ChatGPT as a result of concerns about academic integrity and potential cheating and those who believe it can be a valuable supplement to traditional instruction for supporting instructors and students. As an instructional technologist, Skrabut takes the latter stance and recognizes the potential benefits of ChatGPT in enhancing the learning experience. He maintains that ChatGPT for education is similar to calculators in math, which can be fine-tuned for a variety of natural language processing tasks such as language translation, question answering, and test construction.  "80 Ways to Use Chat GPT in the Classroom" offers a number of examples of using ChatGPT to enhance the classroom experience in teaching and learning. However, students need to be trained in information literacy, which is critical for developing critical thinking and lifelong learning skills. Simply rehearsing information from ChatGPT without verification does not contribute to meaningful conversation. Right at the beginning, the author provides the basic instructions to work with ChatGPT and then outlines a set of keys to using it more effectively. Surprisingly enough, the reader will find these instructions and hints highly comprehensive and informative. The keys to obtaining successful responses include (a) Be as specific as possible when making a request; (b) Use an iterative approach (asking the same question in different general or specific ways); (c) Ask ChatGPT to improve its responses to meet your expectations; (d) Assign ChatGPT a role/act to serve (e.g., act as Linux, interviewer, plagiarism checker); (e) Always validate its responses by applying critical thinking skills. Most favorably, the author has supplied multiple examples for each task that ChatGPT can do. Each example has two parts, including the prompt to provide to ChatGPT (bold-typed) and the response from ChatGPT (italicized). According to the author,  if ChatGPT is used appropriately and strategically, the possibilities are extremely helpful and time-saving. Chapter 2 indicates how ChatGPT can assist in the course preparation procedure, starting with the course description to developing classroom activities. In the first step, the user may ask ChatGPT to describe a course by clearly introducing what it is about. Next, ChatGPT can help in creating actual goals and objectives for the course. Here, the author suggests that users guide ChatGPT to create valuable results by citing Bloom's Taxonomy, for instance, in their prompts. An example of a good prompt suggested by the author follows: "Write learning objectives for a sports management course at the remembering level of Bloom's Taxonomy using verbs like Cite, Define, Describe, Draw, Enumerate, Identify, Index, Indicate, Label, List, Match, Meet, Name, Outline, Point, Quote, Read, Recall, Recite, Recognize, Record, Repeat, Reproduce, Review, Select, State, Study, Tabulate, Trace, Write" (p. 21). ChatGPT can also assist teaching practitioners in crafting lesson plans, classroom activities, warm-up questions and activities (i.e., icebreakers), community-building activities (e.g., teamwork and class discussions), lecture notes and outlines, and assignment prompts. What is highly important in persuading ChatGPT to prepare these tasks is to give it as specific prompts as the user can. Chapter 3 concerns using ChatGPT as a teacher assistant in personalizing instruction (i.e., personalized education). Some of its contributions include: (a) grading written assignments and essays (given either generic or specific guidelines), (b) facilitating reading comprehension by generating text summaries, (c) creating fill-in-the-blanks stories (i.e., Madlibs) usually in enjoyable and funny way, (d) crafting writing samples for any given prompt or topic, (e) creating personalized study plans attuned to each student's learning abilities, and (f) generating dummy data such as exemplars. What is highly important at this stage is to provide detailed and clear guidelines, precisely indicating the length, word size, and scope, before ChatGPT gets started. Here are some effective prompts as models: Generate questions about with corresponding answers at a college level; Provide ten creative writing prompts for an essay writing class at the high school level; What are some interesting or novel ways to begin a math class with children; What are some icebreaker activities one could use for a college-level course. In Chapter 4, ChatGPT is introduced as an effective tool for assessment by quickly and easily creating a variety of test tasks and questions. Among the ways in which it can serve as an assessment aid are creating assessment rubrics for subjective tasks and designing test items of a variety of formats, including multiple-choice, fill-in-the-blanks, dichotomous or true-false, matching, and ordering forms. After deciding on and determining the target article or text as a prompt, one may ask ChatGPT in the following exemplary way: "Create one (or more) fill-in-the-blank exercise on " (p. 65). Chapters 5 and 6 illustrate how ChatGPT can assist teachers and students in developing study aids and classroom activities. Using ChatGPT in building study aids such as summaries, notes, outlines, flashcards, and vocabulary lists can make learning procedures more convenient, enjoyable, and effective. Teachers may ask ChatGPT to generate example sentences using a certain word, write a list of words and definitions for an article, and create a list of flashcards for the given words. ChatGPT can also aid in checking the authenticity of students' essays and in generating arguments and counterarguments on a given topic for classroom debates. The last two agendas, for instance, can be accomplished by giving the following prompts, respectively: "Did AI write this essay? " and "Debate me on the use of AI in higher education. I believe it should be used. You are to take the opposing side" (p. 77). Even more interestingly, ChatGPT can be assumed as a classroom member interacting with teachers and/or students. After raising a question or topic in the class, the teacher can ask the students to predict ChatGPT's responses and then compare the students' responses to those of ChatGPT. Given enough rubrics and guidelines, the students can also be invited to grade ChatGPT's responses and essays and realize the strengths and weaknesses of AI by themselves. Taking the students' side, Chapter 7 indicates how students can improve their writing and communicative skills by using ChatGPT as a digital tutor and partner. ChatGPT can help students in crafting essays, paper summaries, research papers, lectures, and presentations by improving both form (e.g., grammar, vocabulary, coherence) and content (e.g., themes, main ideas, ordering, and organization). In addition, it can provide feedback on their writing assignments before submission and help them revise their drafts after getting reviewed. ChatGPT can also serve as an assistant translator and conversation partner, thereby contributing to the student's language skills development. It is also a digital tutor, being accessible anytime not only to reply to the students' questions but also to personalize learning materials by adjusting the responses to their needs, age, and level of ability. For this purpose, the user may only need to guide ChatGPT in the following exemplary way: "Answer this question or explain this topic to a 15-year-old or beginning student". Further, ChatGPT can serve as an exceptional research assistant by helping students discover trending research topics, formulate research questions, develop annotated bibliographies, paraphrase and summarize content, find credible sources, and draft and edit sections of a document. Chapter 8 showcases how ChatGPT can be used in computer programming and application development. Given a specific and accurate script, ChatGPT can quickly and easily write codes, explain what a certain code does, troubleshoot the codes, clean up unnecessary codes, write scripts for Microsoft, Google, Apple, and Linux products, and enhance programs like spreadsheets or word-processing. Chapter 9 extends to other applications of ChatGPT, such as developing blog posts, writing book reviews, drafting grant proposals, writing play/video scripts, and role-playing scenarios. It also effectively assists in drafting email messages, letters of recommendation, job interview questions, press releases for projects, and award packages suitable for nominees and accomplishments. It can be further used for converting references to different formatting styles (e.g., APA, MLA, Chicago), converting grammatical structures (e.g., number, gender, tenses), analyzing data sets, and summarizing large amounts of content before a meeting or classroom session. Chapter 10 illustrates how practitioners can suppress their inhibition and/or fear of using AI as an education and assessment tool. It offers fundamental guidelines and strategies that help teachers and students find ChatGPT an asset rather than a threat. There are times when AI is appropriate and others when it is not. Teachers may ask the students to detect its flaws and limitations; they should be explicit on what is allowed and what is not. For example, if they are not allowing tools like ChatGPT, explain why it is essential to refrain from using it and the educational benefit of the assignment. ChatGPT would not have access to proprietary academic databases. Additionally, it does not have access to current events. Another point to consider is that "ChatGPT is a textual interface. It cannot see images or hear audio files. The more friction you introduce into the assignment, the less appealing it will be to use AI" (p. 159). Although organizations and instructors can enhance their productivity and save time through ChatGPT, there is a caveat regarding the accuracy of the information it offers, requiring the users to check the information from multiple other sources. Skrabut explains his point very clearly by stating that AI will inevitably impact teaching and learning, just as previous technologies have, but educators are required to prepare students for this future. While ChatGPT is an intriguing emerging technology, it is not yet a perfect tool and it is essential to weigh the potential drawbacks. While the book provides comprehensive instructions with practical examples, it lacks depth in addressing ethical concerns and academic integrity. For instance, it does not sufficiently explore ChatGPT's potential drawbacks, such as the risk of over-reliance on AI tools or diminishing critical thinking skills among students. Furthermore, the discussion on academic integrity could benefit from providing instructors with a list of hands-on techniques on how to minimize the possibilities of AI-assisted cheating. Although the book is highly practical and advisable, these limitations may explain the need for further research and instructional guidance on how to mitigate the potential threats associated with ChatGPT use in educational milieus. 

This study examined the personal, professional, and contextual barriers to teacher identity (TI) within English language institutes and their strategies to navigate them. The study used a multiple case study approach with semi-structured interviews for data collection. It involved four Iranian English institute teachers aged 22 to 30, with varying degrees of education: two holding a B.A., one an M.A., and one a Ph.D. Data analysis utilizing thematic analysis revealed that insecurity, self-doubt, perfectionism, and challenges in balancing personal and professional lives were personal barriers to TI. Moreover, professional barriers such as excessive workloads, strict adherence to academic norms, and stress from peers and superiors could hinder TI development. Furthermore, contextual barriers, including hierarchical cultures, top-down decision-making, and rigid institutional policies, could restrict TI development. The findings also revealed some patterns among these barriers. The results showed that contextual barriers exacerbate professional barriers. Moreover, professional barriers exacerbate personal barriers. Teachers often try to navigate barriers by seeking feedback, engaging in professional development, advocating for their needs, holding meetings, using dead times, focusing on strengths rather than weaknesses, accepting faults and shortcomings, promoting shared leadership, prioritizing self-care and work-life balance, expanding knowledge through reading more, setting realistic goals, recommending solutions, being more flexible, involving and engaging students, motivating students, taking assessment as learning perspective, etc. The study's findings have implications for teachers, teacher training programs, and educational policy.

English Language Teacher Education (ELTE) programs in Iran have been designed in a distinctive bilingual environment where private language institutes offer influential training foundations for most English as a Foreign Language (EFL) teachers. This study examines the structure and content of teacher preparation programs in four prominent Iranian language institutes to identify the core components of their training courses. To gather data, semi-structured and focus-group interviews were conducted with two novice teachers and two teacher educators from each institute, selected through purposive sampling. Thematic analysis of the data revealed that training programs emphasized seven key themes: Teaching Methods, Flexibility, Practical teaching, Reflection, Native language use, Culture, and Technology. These findings can offer English language teachers valuable insights into their future roles and provide policymakers with rich data to evaluate existing programs and make necessary modifications in areas that require improvement. Potentially bridging the gap between theoretical training and practical classroom demands.

Language teachers are professionally expected to serve as educational innovators, change agents, and particularly teacher-researchers. Teacher-researcher identity and its negotiation have received much attention from international scholars. In Vietnam, substantial research has been conducted to examine this concept and its influential factors among tertiary lecturers. Nevertheless, a research gap remains in understanding factors affecting teacher-researcher identity negotiation from other teacher demographics, particularly from an insider’s perspective. Therefore, this autobiographical introspective narrative inquiry addressed this gap by shedding light on the contextual influences on my teacher-researcher identity negotiated during the process of completing a Master’s graduation thesis. Guided by Bronfenbrenner’s Ecological Systems Theory of Human Development as the theoretical framework, the study gathered data from my autobiographical writings and semi-structured interviews with two purposefully-selected outsiders. The collected data were deductively analyzed through thematic analysis. Results revealed that contextual influences (personal, academic, institutional, and socio-cultural contributors) on my teacher-researcher identity negotiation were nested into an ecological system of four concentrated layers, including the micro-, meso-, exo-, and macro-systems, respectively. These findings further showed how the socio-academic condition of the Mekong Delta region affectionately nurtured my growing maturity as a qualitative teacher-researcher. Beyond its scholarly contribution, this study is also a testament to how one’s roots can illuminate the path toward becoming a teacher-researcher, offering inspiration for others walking a similar journey.

This research is aimed to capture EFL teachers’ use of technology in Task-Based Language Teaching (TBLT) by focusing on the variety and intensity of tasks in teaching reading. Driven by the survey research, the data were collected from 71 teachers of English as a Foreign Language (EFL) in Indonesia and analyzed descriptively. The findings show that the EFL teachers perceived that the use of technology in TBLT in teaching reading is important and it can enhance students' language learning experiences. Technology offers engaging materials and activities that aid reading comprehension. Furthermore, EFL teachers' use of various tasks and resources may indicate a need for continuing professional development to improve digital literacy skills and pedagogical strategies of English teachers in EFL context. Although the findings of this survey give an insight into the data of English teachers’ use of technology in TBLT in terms of variety and intensity in teaching reading, this survey has its limitations with regard to the numbers of participants. This research highlights the dynamic relationship among technology, TBLT, and reading instruction in the EFL context, and suggests the need for continued research and exploration of best practices in this area. The current study succeeded in adding new empirical studies related to the variety and intensity in pre-reading, whilst-reading and post-reading activities of EFL teachers enacting teaching reading with the use of TBLT.

One of the key components for effective communication and promoting second/foreign language learners’ ability to produce meaningful performance is controlling their language anxiety. This study investigated the relationships among personality types, locus of control, and foreign language anxiety within the context of Iranian EFL learners. A non-experimental type based on a quantitative approach, the present study enjoyed a correlational design. Its participants were 317 Iranian EFL learners who all were undergraduate university students from both genders. The context of this study was the EFL face-to-face educational settings and the participants were from different fields of study at the university level in Iran. Data collection was conducted via three psychological questionnaires for measuring the variables. For data analysis, Pearson correlation and Regression analysis were used to specify the correlation between variables. To examine the mediation role of variables, Z Sobel and Bootstrapping tests were incorporated in the analysis. This study revealed significant relationships among participants’ personality types (extroversion and introversion), locus of control, and foreign language anxiety. The findings showed that there was a significant negative relationship between personality and locus of control and also a significant negative relationship between personality types and foreign language anxiety. Mediation analyses further illuminated the negative mediating role of the locus of control and the positive mediating role of the personality, shedding light on their nuanced dynamics. This study has implications for language educators, practitioners, and policymakers in terms of tailoring interventions to address individual differences and create supportive learning environments.

Research on relative clause (RC) ambiguity resolution in first and second-language contexts has produced conflicting results, with some studies indicating a preference for high attachment, others favoring low attachment, and some reporting no clear preference. In conjunction with other variables, these mixed results may be due to variations in the methodological features employed across studies. Therefore, there is a pressing need for a systematic review of the methodological features of relevant offline tasks to evaluate how these differences may lead to conflicting results critically. To address this issue, a systematic methodological review was conducted analyzing 108 features of offline tasks, including identification, context, materials, design, administration, data analysis, open science practices, and transparency. The results revealed significant methodological variation in the literature and a moderate mean transparency score of 59.77. These findings emphasize the need for methodological standardization and greater transparency in future research to ensure reliable and comparable RC ambiguity resolution research results.

Feedback literacy as a knowledge vital for developing EFL learners’ academic writing might be associated with several factors, including learners’ second language (L2) writing engagement. Besides, variables such as learners’ proficiency levels can affect the relationship between feedback literacy and writing engagement. This study investigated the relationship between 234 elementary (n = 85), intermediate (n = 78), and advanced (n = 71) Iranian English as a Foreign Language (EFL) learners’ writing feedback literacy and writing engagement selected based on convenience sampling. After taking a placement test, they sat for a writing task adjusted to their proficiency level. Next, they answered a scenario-based L2 Writing Engagement Measure (WEM) and completed the Writing Feedback Literacy Questionnaire (WFLQ). The Spearman rank-order correlation indicated significant positive relationships between the three groups’ feedback literacy and writing engagement. However, there were no significant differences in the relationships between EFL learners’ feedback literacy and writing engagement across the three groups. The study’s findings provide insights for L2 teachers, teacher trainers, and educationalists to enhance students’ writing ability, feedback literacy, and writing engagement. Some suggestions for further research are proposed.

Progress in International Reading Literacy Study (PIRLS) is an international assessment that measures the reading literacy of fourth-grade students (aged 9-10 years old). PIRLS aims to evaluate and compare the reading abilities of students across different countries. It assesses how well students can understand and interpret written texts, which is fundamental to their overall educational development. In this study, psychometric analyses were run on a portion of the multiple-choice items of PIRLS 2016 taken by 4th graders in the USA. The 3PL item response theory model was utilized to examine the test. Discrimination, difficulty, and guessing parameters were estimated along with the fit values, reliability, item characteristic curves, and item-person map. M2, CFI, TLI, and RMSE statistics showed that the test is reliable and the model, overall, fits the data. Item fit statistics outfit and infit showed that most of the items fit the 3PL model. Findings showed that while all the items have acceptable discrimination values, two items have unacceptable guessing parameters. Examination of the ICCs showed that graphical displays are important, in addition to numerical values, for examining item quality. Item-person map showed that items do not target the whole ability scale.

In a world with multifarious sources of disarray, learners must be equipped with many literacies to handle their learning challenges. As a macroliteracy, attentional literacy refers to the learners’ awareness of maintaining their attention on the information from the self, others, and the environment without being judgmental toward differing viewpoints and contexts. Assuming attention as not purely cognitive but social, cultural, affective, and technological, the researchers could not find any theoretical model underpinning different dimensions of attentional literacy in the literature. This study aims to develop a conceptual model of attentional literacy for English language learners. Using a Fuzzy Delphi Method, we surveyed the related literature to identify the factors of attentional literacy. We proposed an initial model with six factors and a list of measures which, after preliminary proofreading and piloting, was administered to a group of 20 experts in two rounds. The results of Fuzzy Delphi led to the conceptualization of a new attentional literacy model comprising two dimensions (internal and external), five factors (cognitive, socio-emotional, environmental, technological, and pedagogical), and 40 measures. The findings cast light on the theoretical foundations of attentional literacy and elucidate the dimensions, factors, and measures for language learners. Pedagogical contributions are discussed for researchers in language education.

This study aimed at investigating the differential effects of three types of mediational artifacts (EMW, EDW, and EMDW) through the CBI approach on EFL learners’ expository writing and learning transfer of rhetorical genre. Therefore, 57 advanced students were randomly assigned into one of three mediational groups, namely EMW, EDW, and EMDW. Participants in the EMDW group were provided with all mediational mechanisms, including instructors’ oral deductive explanation of concepts, SCOBAs material, students’ demonstration of their understanding, and writing practices. However, in the EMW group, students received instructors’ explanations of concepts along with SCOBAs material and writing practices, while the EDW group was provided with students’ demonstrations of their understanding instead of SCOBAs material. After assuring homogeneity of the participants in three groups at the outset of the study with regard to their pre-task scores, the CBI was held over a course of three weeks on expository rhetorical structure. Data for the first research question was gathered through a post-task on expository writing after the treatment. Learners’ opinions were also reflected through a semi-structured interview after the post-task. To testify transferability of rhetorical structure, a delayed post-task was administered after one week. The obtained results indicated that three mediational conditions led to differential expository writing performance. Further improvement was determined in the EMDW group, followed by the EMW group. Furthermore, rhetorical transfer to a new writing task was significantly different among the groups, as the EMDW group could outperform the other groups. Finally, the satisfaction of participants toward CBI was reflected.

Because of their objective measurement and unambiguous correspondences, syntactic parameters are used as comparanda for deep comparison and relatedness of language varieties. The Parametric Comparison Method (Longobardi & Guardiano, 2009) is based on the hypothesis that syntactic parameters are appropriate traits to use as comparanda for contrastive analysis and distance measurement of language pairs and then to provide language taxonomy. This article addresses the syntactic distance and genealogical taxonomy of language varieties that are closely related genealogically, geographically, and culturally. To analyze relatedness and genealogical issues of Kurdish language varieties and the Persian language, abstract grammatical rules, modeled as syntactic parameters which are applied in the domain of determiner phrase (DP), are used as comparanda. The results show that Laki and Lori are at a close distance from Sorani, and on the other hand, Kurmanji and Kɪrdki are also close syntactically. According to the tree achieved from the syntactic distances, Kurmanji is at one end of the spectrum and Persian is at the other end. Thus, it can be concluded that some preliminary deductions regarding the phylogenetic taxonomy of the Iranian languages and dialects, with a focus on Kurdish language varieties and other related dialects, can be proposed.

In light of ongoing challenges in writing education and the needs of digital-native learners, this study explored the effectiveness of using the free version of Grammarly in the writing development of EFL learners. Thirty-three TEFL students at Shahid Rajaee University were randomly selected and participated in the study. Using a quantitative one-group design, their writing performance was assessed through six tasks and analyzed via one-way Repeated Measures MANOVA. The results indicated a consistent improvement in overall writing performance through the regular use of Grammarly as an automatic corrective feedback tool. To identify which writing components improved, an RM-MANOVA was conducted on grammar, spelling, punctuation, and clarity. The analysis showed significant improvement only in grammatical accuracy, with other aspects remaining unchanged. These findings highlight Grammarly’s potential in enhancing grammatical skills. The study contributes to ELT by encouraging the integration of ICT-related content into the EFL curriculum and teacher training programs, emphasizing the role of AI tools in language learning. These findings highlight the increasing impact of AI-powered tools in improving writing skills for language learners. Educators should balance automated feedback with personalized instruction. As research on effectiveness of Grammarly is still limited, further studies are necessary to fully understand its educational potential.

The representation of future pre-configuration through policy-making processes has been an in-vogue area of study in the field of discourse analysis. Equally important is the reconstruction of future pre-configuration in the institutional translations of political text and talk. The objective of this study is to investigate the conceptualization of futurity in the preemptive policy-making in the speeches of the Iranian Supreme Leader and their English institutional translations. The data for the present study comes from 20 speeches of the Iranian Supreme Leader and their translations, spanning from 2015-2020, issued by the Office of the Supreme Leader. We employed semantic-syntactic analytical tools such as mood, modality, and aspect to study the conceptualization of futurity in the policy discourse. In conclusion, the findings of the study indicate that these reconstruction of futurity in the preemptive policy-making process in the English institutional translations are to a greater extent similar to the semantic-syntactic properties of the original texts. However, modalization and mood transformation are instances of differences between original and translated versions of texts. Besides, we argued that any instance of the occurrence of similarity or differences stems from on-line dialectic relationships between micro-pragmatic and macro-pragmatic factors