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Lexical bundles, starting with the anticipatory it, mostly serve as stance expressions (e.g., it is necessary to ). While most research centers on anticipatory, it-bundles in one single discipline, not much has been done across different disciplinary areas. Therefore, based on an adaptation of the functional taxonomy proposed by Hewings and Hewings (2002), this research attempted to detect it-bundles using a corpus of 400 research papers in L1-English and L1-Persian in applied linguistics (AL) and information technology (IT) to probe the possible significant resemblances and disparities. According to the results, IT writers employed fewer bundles than their AL counterparts, and their overuse was more impressive than that of their L1-English peers in AL. However, AL and IT writers showed similarity in their use of functional categories; AL writers also made heavier use of two functional categories: emphatic and epistemic. As for practice, writing instructors can exploit the findings of this study to facilitate academic writing instruction. They can also help students to achieve a better comprehension of anticipatory it-bundles .

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. 

Teacher-researcher identity is commonly conceptualized as one of the central components of teachers’ professional identity. Such identity development is not only configured toward the past and present but also oriented toward the future. This retrospective duo-narrative inquiry aimed to portray such orientation by exploring the possible selves envisioned by two female Gen-Z EFL teachers upon the completion of their Master’s graduation theses in the Mekong Delta region. Informed by Possible Selves Theory, this study drew upon qualitative data collected from semi-structured interviews with two primary participants and two outsiders for data triangulation. Subsequently, data were analyzed utilizing thematic analysis for each case, followed by a cross-case analysis to identify convergences and divergences in their lived experiences. Findings revealed that participants reconstructed their teacher-researcher identity through three dimensions of possible selves, including the hoped-for, the ought-to-be, and the feared. They envisioned their identity as personally developed, institutionally grounded, yet potentially at risk of being contextually dissolved. The study was pedagogically significant for maintaining teachers’ motivation in the teaching profession through an envisioned sense of possible selves. Pedagogical implications were offered to inform Master’s students, teacher education programs, and tertiary institutions in Vietnamese contexts and beyond.

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 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 ability to write from sources or integrated writing is considered an essential competency in academic and professional settings. This study investigated the possible interactions between motivation regulation strategies, integrated writing strategy use, and integrated reading-listening-to-write (RL2W) performance of Iranian EFL learners. A convenient sample of 31 learners from an EFL essay writing course participated in the study. The required data were collected based on the learners' performance in an integrated writing task and their responses to motivation regulation and integrated writing strategies questionnaires. The correlation analysis indicated a positive moderate relationship between motivation regulation strategy use and integrated writing performance of the learners, while integrated writing strategy use showed a low relationship with these constructs. Multiple regression analysis also indicated that among the subscales of motivation regulation strategy use in writing, interest enhancement had a significant contributory power to account for the integrated writing performance of the learners. MANOVA results also pointed to the superiority of high writing proficiency learners in motivation regulation strategy use compared to their less competent counterparts, but there were no significant differences between high and low groups in integrated writing strategy use, which confirmed the importance of quality of strategy use to mere quantity. As a subsidiary aim, the challenges learners encountered in the integrated writing process were identified by analyzing their responses to a reflection question and examination of their written essays. They were identified as linguistic, psycholinguist, and academic skill problems.

The rapidly growing influence of artificial intelligence (AI) is poised to fundamentally transform the realm of English as a Foreign Language (EFL) instruction. This research studied this emerging trend through a qualitative research synthesis of 24 peer-reviewed articles published between 2021 and 2024. It examined them to highlight the diverse applications, challenges, and teaching practices associated with AI in EFL education. Methodological rigor was ensured through established inclusion and exclusion criteria for selecting the articles. The qualitative synthesis and thematic analysis revealed five prominent themes that illuminate the current landscape of AI in EFL instruction: 1) conceptualizations of AI within EFL settings; 2) factors influencing its adoption; 3) challenges faced when integrating AI into EFL settings; 4) limitations of AI-based tools and methods; and 5) potential avenues for future investigation. Although integrating AI into EFL pedagogy is still in its early stages and presents various challenges, the findings provide valuable insights and practical recommendations for effectively using AI in EFL education, enhancing teaching methods, and improving student learning outcomes. Educators can make informed decisions regarding its implementation while navigating the evolving EFL instruction landscape by cultivating an understanding of AI's potential benefits and inherent limitations.

Speaking test anxiety is a pervasive challenge for adult English as a Foreign Language (EFL) learners, particularly in contexts where English proficiency is tied to academic and professional advancement. This empirical research study investigates the causes, contributing factors, and potential strategies to cope with speaking test anxiety among adult EFL learners in Saudi Arabia. Using a mixed-methods approach, the research combines quantitative survey data with qualitative interpretations to provide a comprehensive understanding of the phenomenon. Sixty-eight undergraduate male students, selected through purposive sampling method, participated in this research. The data were collected via standardized instruments (a modified FLCAS, and another survey instrument prepared by the researcher). Research findings reveal that cultural expectations, fear of negative evaluation, less frequency of speaking tests, and limited speaking practice contribute significantly to “the participants' speaking test” anxiety. The study bears significance in Saudi Arabian contexts as it identifies the causes of English speaking and test anxiety among adult learners and also suggests test-taking strategies to cope with test stress and related anxiety. The study concludes with pedagogical recommendations to mitigate anxiety and enhance speaking performance.

Pragmatic competence plays a crucial role in effective communication in English as a Foreign Language (EFL) contexts, yet it is often overlooked in instructional materials. This study investigates the representation and distribution of speech acts in the Speak Out English textbook series (second edition), a widely used resource in EFL classrooms. Drawing on Searle’s (1976) taxonomy, the dialogues from the Starter to Advanced levels were analyzed to assess the frequency and types of speech acts. The results revealed a significant predominance of Assertives (41.7%) and Directives (33.7%), with lower occurrences of Commissives (13.2%), Expressives (10.2%), and a minimal presence of Declaratives (1.1%). This imbalance indicates a limited pragmatic range, which may hinder learners’ communicative competence, especially in formal or professional contexts. The findings suggest that while the series supports functional communication, it falls short in fostering comprehensive pragmatic development. The study highlights the need for more balanced and contextually rich representation of speech acts in EFL textbooks. Implications for teachers, curriculum designers, and textbook developers are discussed, including the importance of integrating meta-pragmatic instruction and culturally relevant examples. This paper contributes to the growing body of research on pragmatic competence and underscores the importance of equipping EFL learners with the skills to engage in diverse communicative situations.

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.