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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. 

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.

Cet article présent, nous ne projetons en aucune façon d'établir ou de définir ce qu'est l'art, dont l'œuvre d'art en ontologie. Ce n'est pas notre préoccupation aujourd'hui, et non plus davantage de la plupart des artistes contemporains. À la recherche d'une ontologie bien particulière sur l’œuvre d’art contemporain, Roger Pouivet, le philosophe contemporain français, l'appelle « l'ontologie appliquée ». Il s’agit de considérer l'œuvre en tant que telle, sans se préoccuper des catégories fondamentales qui la possèdent. À ce stade, il paraît nécessaire de parler du changement de paradigme dans le champ d’arts plastiques, qui résulte de l'apparition des œuvres des textes écrits ou oraux.  En ce qui concerne le concept de « Zugganzes » de ’Heidegger, il faut bien comprendre, quoi qu'il en soit, le cumul des éléments nécessaires jusqu’à ce que l’établissement d’un système s’achève. Cela veut dire que pour un processus de créer une œuvre d'art contemporain il explique qu’à la fois chaque élément a son rôle clé, même indispensable, et une mission pour compléter le rôle des autres éléments. Au fur et à mesure de cet article, nous répondrons aux questions de recherche : 1) Comment peut-on mettre en avant un processus de détermination d'une œuvre d'art qui s'enrichit des textes écrits ou oraux, en époque contemporaine ? 2.) Pourquoi et pour quelle raison a-t-on choisi de mettre en lien les deux concepts de « Zugganzes » et de l'hypothèse de « l'ontologie appliquée » dans ce travail de recherche ? Cette recherche essaye de nous montrer que: les œuvres d'art contemporaines qui sont considérées comme des textes visuels enrichissent des textes écrits ou oraux. En effet, cet acte vise à attirer l'attention des spectateurs en tout temps et en tous lieux. À la fin, on comprendra qu’il est possible de créer visuellement des textes symboliques en pratiquant simultanément les textes écrits ou oraux comme des éléments visuels et en profitant de leurs contextes.   

Human beings employ different forms of linguistic politeness to ease communication and reduce the likelihood of conflict. With the rise of technology and social media platforms such as Email, Telegram, Twitter, WhatsApp, and Instagram, the concept of politeness has faced new challenges. The present study focused on Instagram comments and analyzed politeness strategies based on Leech’s grand strategy of politeness. The study examined a 20043-word corpus developed based on 696 posts across various topics on Instagram. The results revealed that Instagram users predominantly utilized negative politeness strategies (63.3%). Among the positive strategies, agreement constraints were the most frequently employed (32.7%), while tact constraint violations (32.1%) were the most common within negative strategies. The study utilized repeated measures of ANOVA and Tukey post hoc analysis via SPSS to examine differences among various constraints and their violations. Significant differences were found among most constraints, except for tact and modesty, generosity, and feeling reticence. In terms of constraint violations, no significant differences were observed between approbation and obligation of the speaker to others constraint violation, between agreement constraint violation and generosity constraint violation, between agreement and obligation of others to a speaker constraint violation, between agreement constraint violation and opinion reticence constraint violation, between sympathy and modesty constraint violation, between sympathy and feeling reticence constraint violation. The findings underscore the importance of analyzing language in specific media, providing insights into politeness and impoliteness in a specific medium. The results can enhance students' pragmatic skills and improve their online communication, prompting materials developers to consider such pragmatic dimensions.

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.

The present study intends to extend the current ancillary understanding horizons of the developmental theory of individual-differences relationship-based (DIR) framework and emotioncy framework, to investigate aspects of emotioncy tensions that include identity-related attitudes, behaviors, and beliefs by providing "what-to-do" information when enacting identity tensions. Through validating the Student Identity Emotioncy Tension Scale (SIETS), the researchers suggested that social identities are also associated with specific emotional tensions by providing "what-to-feel" information during identity enactment. To do so, a total number of 300 students filled out the scale. In the validation process, statistical procedures were exerted to validate the scale. First, Exploratory Factor Analysis (EFA) was used to ascertain the underlying factors. Then, Principal Component Analysis (PCA) and Communalities were checked for the relevance of component variance. Cronbach’s coefficient was used to check the reliability of the 18 items. The results indicated that the scale can be best explained by a three-factor solution with an acceptable reliability. In the qualitative phase of cognitive interviews, students were interviewed to further examine the quality of the items. In the end, the findings were elucidated and implications for future research and practice were presented.

The focus of prior studies has been on introducing different cultulings in Iranian culture; as a result, little attention has been given to their relationship with individual differences and language-related variables. Therefore, to address this gap, the researchers first devised a cultuling competency test to measure individuals’ ability to identify 14 culturally different contexts. They then substantiated the construct validity of the cultuling competency test through CFA, and its reliability was measured using Cronbach’s alpha, suggesting high reliability. Next, the researchers aimed to assess the role of cultuling in individuals’ language aptitude, verbal intelligence, cultural intelligence, and second language (L2) willingness to communicate (WTC). The results indicated that cultuling is a significant predictor of verbal intelligence. It was also found that L2 WTC and cultural intelligence are positively correlated. Finally, the findings revealed that language aptitude has a significant relationship with both cultural and verbal intelligence.

Since reflective practice is regarded as a significant professional learning tool for teachers to change, modify, and reform their educational practices, it is important for teachers to move towards a more creative use of reflection. Thus, imaginative and creative reflective practice can serve as a new approach to enhance teaching efficiency, originality, reflectivity, and practicality. Additionally, teachers can utilize Artificial Intelligence (AI) tools to implement reflective practice in creative and imaginative ways to support innovative reflections and address complex teaching challenges. Accordingly, this study employed imaginative and creative reflective practice with a Chat Generative Pre-Trained Transformer (ChatGPT) as a novel AI tool. This study explored how imaginative and creative AI-oriented reflective practice could contribute to the professional development of EFL teachers within a complex educational system. To this end, the perspectives of six novice and experienced EFL teachers were examined through semi-structured interviews, classroom observations, and post-class discussions within a qualitative case study framework. The findings indicated that teachers were able to transform and reform their belief systems by learning new concepts, reflecting on their practices, innovating knowledge and practice, and initiating change through imaginative and creative AI-oriented reflective practice. The study concludes with suggestions on how to engage language teachers in imaginative and creative AI-oriented reflective practices.

The present study aimed to explore how the ELT curriculum is perceived, adopted, and implemented by EFL high school teachers. This study also shed some light on several effective factors in curriculum planning and practicing. Data for this study came from a survey and follow-up interviews with EFL teachers. The Findings revealed some critical systemic gaps between policy and practice: (1) a disconnect between policymaking processes and established ELT pedagogical theories; (2) insufficient incorporation of stakeholder voices, particularly teachers, during policy formulation; (3) neglect of teacher agency, professional needs, and motivational factors in curriculum design; and (4) an absence of foundational needs analysis research to inform policy decisions. The study underscores the imperative of prioritizing teacher autonomy, participatory policymaking, and evidence-based frameworks in curriculum development. To mitigate disparities between policy objectives and classroom practices, recommendations include decentralizing decision-making to empower educators, integrating teacher feedback into policy cycles, leveraging academic expertise, and fostering context-sensitive adaptations of global ELT methodologies. These insights contribute to broader regional discussions on educational equity, teacher professionalization, and sustainable language policy reforms in institutional settings.

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.

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. 

The integration of AI in educational contexts has been a heated debate among scholars. Despite the important role of Artificial Intelligence (AI) in foreign language education, exploring English as a foreign language (EFL) teachers’ voices regarding their motivation to use AI in foreign language education has received scant attention. Therefore, this study explores the motivational factors influencing the adoption of AI in foreign language teaching through the lens of self-determination theory (SDT). Qualitative data were collected through semi-structured interviews from six EFL teachers in the context of Saudi Arabia. The study identified several key sub-themes within the broader motivational factors of relatedness, autonomy, and competence from the SDT framework. Regarding competence, participants emphasized the role of AI in enhancing their ability to deliver personalized instruction and manage their classrooms more efficiently. For relatedness, the sub-theme of mutual support and community building emerged as crucial, highlighting the importance of collaboration between teachers and students in AI adoption. In the context of autonomy, self-initiated professional development was prominent, reflecting teachers’ active efforts to stay updated on AI technologies. Teachers felt that mastering AI tools not only improved their competence but also enabled them to adapt AI-based solutions to meet students' individual needs. However, they also noted the challenge of ensuring that AI tools complement rather than replace critical pedagogical skills, highlighting the need to maintain a balance between using AI for efficiency and preserving essential human elements like creativity and critical thinking.

Nadja d'André Breton est une œuvre par excellence du genre surréaliste, caractérisée par des phrases qui, dans leur structure sous-jacente, révèlent l'inconscient, l'illusion et l'imagination de l'écrivain. La présente étude, fondée sur les théories de Jean Bellemin-Noël concernant «l'inconscient du texte», vise à examiner la traduction persane de Nadja faite par Kaveh Mirabbasi. Cette étude cherche à déterminer si le traducteur a effectivement recréé les éléments psychologiques dans la langue cible, qui se manifestent par l'écriture automatique, les rêves, les libres associations et l'utilisation d'éléments contrastés à la manière des surréalistes. Pour découvrir l'inconscient de l'écrivain, nous avons ensuite analysé le texte source en se concentrant sur ces éléments ainsi que sur la structure des phrases, la répétition thématique, les métaphores, les techniques, les choix de mots et les marqueurs textuels. Une étude contrastive avec le texte cible a permis de déterminer dans quelle mesure le traducteur a recréé ces aspects. Les résultats indiquent que Mirabbasi a largement réussi à recréer l’inconscient du texte grâce à la traduction littérale.