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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.

Jam (2020) attempts to provide an Optimality-Theoretic analysis of Persian vowel harmony. As to cases where backness harmony does not appear to occur, his explanation appeals to Lexically Specific Constraint Theory, treating these instances as exceptional rather than systematic. In this reply, I argue that such an appeal to exceptionality is unnecessary, and I propose an alternative analysis in which regressive vowel harmony in Persian can be accounted for in a principled, unified manner without recourse to lexically indexed constraints. By introducing an appropriately formulated markedness constraint, it becomes possible to capture the full range of observed patterns while maintaining the parsimony and explanatory elegance expected of an Optimality-Theoretic framework. In addition to this central point, I identify several further weaknesses in Jam’s analysis. These include a conflation of rule ordering with constraint ranking, which obscures the theoretical distinction between derivational and constraint-based approaches, the problematic assumption that the phonological representation of loanwords should mirror their source-language forms, and the omission of critical information in both the representations and tableaux.

Abstract The present study developed a model of L2 speaking proficiency investigating how lexical sophistication, lexical diversity, syntactic sophistication, syntactic complexity, and cohesion are associated with holistic scores of L2 speaking proficiency employing structural equation modeling (SEM). A corpus of 419 monologues delivered by Iranian EFL learners was compiled and rated to develop the model. Based on the overall scores, the corpus was divided into independent (B1 and B2) and proficient (C1 and C2) users. The results of SEM analysis revealed that the developed L2 speaking proficiency model had an acceptable fit, with partial generalizability across independent and proficient users. Structural regression analysis showed that lexical diversity, lexical sophistication, syntactic sophistication, cohesion, and the indirect effect of syntactic complexity through lexical sophistication explained 34% of the variance in L2 speaking proficiency in descending order of importance. However, their relative importance changed depending on proficiency level. Based on the results, while lexical, syntactic, and cohesive features are sound predictors of L2 speaking proficiency, they function differently across proficiency groups. These findings offer valuable insights for improving speaking proficiency assessment by showing that lexical sophistication, lexical diversity, syntactic sophistication, syntactic complexity, and cohesion do not contribute equally to overall L2 speaking proficiency, and their order of importance varies across proficiency levels. Therefore, prioritizing indicators of L2 speaking proficiency in assessment frameworks based on their importance in each proficiency level can add to the validity and reliability of speaking assessments.

This study aimed to explore Iranian teachers’ cognition of L1 use in L2 teaching as a component of classroom management, in EFL classes at private language schools in Iran. The study comprised 12 in-service teachers, and the sample size was decided based upon data saturation. The instrument employed in this research was a semi-structured interview, designed to elicit the participating teachers’ cognition. The interviews were audio-recorded and were subsequently transcribed. Thematic analysis of the data demonstrated that the teachers believed the extent and frequency of L1 use should be balanced based on the objectives of L2 lessons, so that classes could be smoothly managed and learners could be sufficiently exposed to L2. Besides, the participants held that for effective classroom management, teachers should use L1 judiciously and selectively. In addition, they accentuated the significance of attention to learners’ English language proficiency level, psychological factors, and educational needs in this respect. Moreover, they were aware of the potential role of L1 use with regard to classroom management strategies, such as establishing rapport, maintaining discipline, and managing time. Overall, the participants were cognizant of using L1 in L2 teaching as a classroom management component. This inquiry provides implications for supervisors of language schools, language teachers, and language teacher educators.

In the postmodernism era, considering the new technological facilities, researchers are trying to improve the traditional learning process by presenting some new learning models. One of these models, called blended learning, tries to present special ways and solutions to blend synchronous and asynchronous learning. The flipped classroom, subcategorized in this model, reverses the traditional classroom formats. This study investigates the role of this model in EFL learners’ perceptions of class activities and their language achievement. In doing so, two classes in a high school, 10th grade, were selected as the participants. In the experimental group, the flipped learning approach was implemented through the creative software, developed by the researchers. The software was designed based on the book that students were supposed to study that semester. The software framework was Storyline which is a suitable software for creating interactive courses. Learners’ perceptions were also measured by using the translated version of the 'Students Perceptions of Classroom Activities' scale. The results revealed that the flipped learning approach could account for over 70 percent of Choice perception, about 50 percent for Challenge, and 10 percent for Joy perception. The results also demonstrated significant impact of flipped learning on language achievement. The results of this study would help instructors and practitioners to use technology in their teaching program and be optimistic about its amazing results in their learners’ outcomes.

The concepts of work-related satisfaction, happiness, and burnout have received increasing attention in psychological research. As the field of translation studies is interdisciplinary, it has consistently drawn inspiration from various fields in the humanities, including psychology. Since sworn translators play a crucial role in translation communities, the present article aimed to look into job-related satisfaction, happiness, and burnout utilizing a qualitative interview-based approach and Iranian sworn translators as participants. The findings revealed that sworn translations involved challenges and occasionally unpleasant aspects; nonetheless, the majority of participants reported feeling satisfaction and happiness in terms of the job in general, the translation process, and their income. Furthermore, this profession has led several participants to experience fatigue, stress, nervousness, sleep disturbances, and indigestion, but the most frequent manifestations of burnout are mental exhaustion and pain in the neck, arms, hands, and eyes. These findings can be helpful for sworn translators and policymakers seeking solutions or preventing negative consequences.

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. 

Teaching has recently received extensive attention as an emotionally charged profession, necessitating a deeper exploration of the psychological mechanisms underlying teachers’ practices. However, despite the evidence supporting the role of teachers’ emotion regulation (ER) in their autonomous control over both their practices and their ecological environment, the interplay between EFL teachers’ ER, agency, and autonomy is not yet fully clear. Grounded in positive psychology and ecological theories of agency, the present study tried to contribute to our understanding of this relationship. Accordingly, 232 EFL teachers in Iranian schools, targeted via snowball sampling, responded to an online survey, containing Emotion Regulation, Agency Related to Planning Teaching and Learning Activities, and Teaching Autonomy questionnaires. The results of Multiple Linear Regression and SEM confirmed a positive relationship between ER and agency ( r = .724) as well as ER and autonomy ( r = .713), while predicting 58% and 48% of changes in them, respectively, which demonstrates strong predictive power. The results support an integrated theoretical model, linking ER to teachers’ agentic and autonomous behaviors, and indicating that emotionally-regulated teachers are more likely to exercise control over their professional practices and environment. These findings offer implications for educational administrators and psychologists, as well as ELT practitioners who wish to improve educational practices by empowering teachers to foster sustained well-being and deal with burnout. Finally, the possibility of an updated construct of Agentic Autonomy is proposed to bridge ER with teachers’ ecological agency.

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.