درخت حوزه‌های تخصصی

Writing assessments in the EFL context today have put a great concern on language acquisition and proficiency testing. However, diverse techniques and practices require a comprehensive synthesis to better understand trends, gaps, and best practices. This study reviews and synthesizes prior research on writing assessments in EFL contexts. It examines the dominant assessment approaches, their effectiveness, and their impact on EFL learners' writing skills holistically. The study employs a meta-synthesis approach. Fifty journal articles indexed by Scopus, ERIC, Crossref, Google Scholar, DOAJ, Copernicus, and other indexing databases between 2018 and 2024 were selected as the data to review in this study. The data selection was conducted to ensure the relevance and quality of the literature reviewed. The results include a variety of assessment practices such as teacher feedback, self-assessment, peer-assessment, blended or collaborative assessment, automated writing evaluation (AWE), and artificial intelligence in EFL writing settings. The study also concludes that, despite the diversity and complexity of writing assessments in EFL contexts, there is a strong need for more standardized and contextually valid assessment practices. Effective assessments align with instructional goals and offer meaningful feedback that supports student learning. The study recommends developing comprehensive assessment frameworks tailored to specific EFL contexts, providing more training for educators in assessment literacy, and conducting further research into the long-term impact of various assessment practices on the writing development of EFL learners.

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.

Understanding and producing relative clauses (RCs) presents significant challenges for second language learners, particularly when L1 and L2 relativization strategies differ. This study investigated the effect of Persian (L1) on resumptive pronoun (RP) usage in English RCs by Iranian EFL learners (N = 90 English Literature and Translation Studies majors), examining the Noun Phrase Accessibility Hierarchy Hypothesis (NPAHH). The study had two primary objectives. First, we hypothesized that lower-proficiency learners would demonstrate more negative transfer. Participants were categorized into high- and low-proficiency groups using the Oxford Placement Test. Results revealed significant between-group performance differences, though error patterns based on the RC head's grammatical function were similar across groups. Both groups showed highest accuracy for object-function RCs, suggesting strong L1 influence. Second, testing the NPAHH revealed that learners (regardless of proficiency) exhibited lowest error rates for object-position RCs, followed by subject, complement, and genitive positions. This pattern partially aligns with but does not exactly match the NPAHH's predicted difficulty hierarchy (subject > object > complement > genitive). The findings highlight how L1 transfer interacts with universal accessibility constraints in RC acquisition.

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.

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.

Speech act theory is a significant issue in comprehending the intricate dynamics of human communication, acting as a guiding light in understanding how language is used to perform actions beyond the literal meanings of words. While traditional frameworks have presented valuable perceptions in classifying speech acts, the evolving nature of communication requires reconsidering and expanding these conventional approaches. The researchers of the current study proposed an innovative framework for speech act classifications, one that exceeds traditional boundaries and embraces the nuanced complexities of modern discourse. Based on seminal works by Austin (1962) and Searle (1969), and also by considering important research by Grice (1975), Levinson (1983), and emerging perspectives represented by Verschueren (1999) and Sbisa (2002), the researchers of this study critically assess current classifications, identifying essential challenges and opportunities in speech act analysis. The proposed framework introduces other categories such as Metaplocutionary Acts, Interlocutionary Acts, and Negotiation Acts, offering a more comprehensive and context-sensitive approach to understanding speech acts. Through interdisciplinary collaboration and empirical validation, the researchers of this study aim to refine and apply this framework across diverse linguistic and cultural contexts, thereby paving the way for a more nuanced and dynamic comprehension of human communication.

Based on Shulman's (1986) concept of Pedagogical Content Knowledge (PCK), Technological Pedagogical Content Knowledge (TPACK) emerged and became a helpful framework for comprehending the objectives of using technology in pre-service teacher training programs. The purpose of the present study was to evaluate Iranian pre-service EFL teachers’ (PSEFLTs) perceptions towards their TPACK regarding their gender and academic year of study. To this aim, 254 Iranian PSEFLTs across various academic years of study filled out a 39-item EFL TPACK questionnaire developed by Baser et al. (2016). The questionnaire included seven categories: Content Knowledge (CK), Pedagogical Knowledge (PK), Technology Knowledge (TK), PCK, Technological Pedagogical Knowledge (TPK), Technological Content Knowledge (TCK), and Technological Pedagogical Content Knowledge (TPCK). Based on the collected data, which were subjected to the Kolmogorov-Smirnov test, descriptive statistics, t-tests, one-way ANOVA, and post-hoc analysis, it was found that PSEFLTs generally held mildly favorable perceptions towards their TPACK. Notably, the lowest mean score was observed for the TK component, while the component with the highest mean score was the CK component. In terms of the gender effect, statistically significant differences were found in the TK and TPCK dimensions, where males outscored females in both TK and TPCK and females outscored males in CK. Furthermore, an examination of the relationship between participants' TPACK and their academic years of study manifested a statistically significant difference primarily between freshmen and seniors. The results are expected to encourage curriculum planners to develop PSEFLTs’ training programs by integrating technology courses into the ELT curriculum.

Neuroimaging has a substantial pedagogical advantage when applied to language learners who are experiencing cognitive procedures during educational settings. Among such learners are L2 learners who may encounter new experiences that neuroimaging may be able to clarify. The purpose of this study is to investigate whether neuroimaging tools are capable of revealing more information about the experience of L2 learners. A systematic review of the literature on the use of neuroimaging in the context of L2 learning is presented in the study. According to a comprehensive search of numerous known databases, 19 articles met the criteria for extensive analysis. The results of the analysis indicate that neuroimaging tools can be used to reveal brain function during L2 learning. Furthermore, it may enable us to uncover brain function during the learning of L2 skills and its neural responses to them. Researchers have also mentioned the challenges in the implementation of neuroimaging tools in L2 procedures. In addition to presenting the testimonies found in the literature, it is emphasized that neuroimaging in L2 learning remains relatively unknown.

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.

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.

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. 

Being rooted in imagery and metaphor, Jungian psychology suggests that metaphors are expressions of archetypal imagery. While extensive research has examined how archetypal theory informs literal metaphors across various languages, less attention has been paid to whether metaphorical conceptualizations can serve as a modality—similar to dreams or active imagination—for representing archetypes and the collective unconscious. Linguistic data from intercultural interactions are crucial for uncovering shared conceptual structures across diverse communities. This study explored the "Document on Human Fraternity for World Peace and Living Together" signed by Pope Francis and the Grand Imam of Al-Azhar as a pivotal text in contemporary interfaith dialogue. We analyzed how the processes of metaphorizing archetypes were woven into this discourse. Specifically, we investigated whether archetypes are represented within the conceptual blending processes of metaphors, how the collective unconscious is reflected in the conceptual metaphors employed in interreligious dialogue, and how these metaphors may foster shared understanding among religious leaders. Using Conceptual Blending Theory (CBT), we identified metaphorical expressions that projected archetypal content, revealing the presence of key Jungian archetypes, such as the Mother, Rebirth, Shadow, Innocent, and God-Image. Our findings indicated that significant shared conceptualizations existed between Islamic and Christian leaders, which were grounded in the collective unconscious and articulated through archetype-based conceptual metaphors.

AI-assisted translation has gained increasing attention in recent years, yet its effectiveness remains underexplored. The present study sought to shed light on the role of AI (ChatGPT) in mediating translation. To this end, 46 postgraduate ESP students majoring in three sub-disciplines of politics (across three classes) were selected through convenience sampling. No outliers were identified in these classes, and each was assigned to one experimental group (AI-assisted group, N = 16; AI–Human Revised group, N = 16; Human-only Scaffolded group, N = 14). A posttest-only control group design was adopted, and each group was mediated according to its respective intervention protocol. AI was instructed to follow a graduated mediation protocol developed for the purposes of this study. The final translations were evaluated both qualitatively and quantitatively. Findings revealed that the end product of the AI-assisted group, compared with the human-involved groups, exhibited major translation deficiencies ranging from the lexico-semantic level to syntax, the syntax–semantic interface, and rhetorical patterns. Additional procedural deficiencies were also observed and reported. Furthermore, participants’ translations were assessed using a rubric, and quantitative analysis showed that both human-involved groups significantly outperformed the AI-only group.

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. 

It is argued that in our current digital era, MALL (mobile-assisted language learning) is an indispensable mode either for independent self-learning or for integrating with the school curriculum. The present study explores the possibility of using gamification as a home assignment in English as a foreign language course for students of non-English majors at a university in Vietnam. Data was collected and analyzed using 69 questionnaire responses and 41 essays written by students in a class of General English. The questionnaire and essay topic prompt required students to provide an evaluation of their personal experience learning English with Duolingo outside the classroom, as part of the compulsory home assignments during a 15-week semester. The questionnaire items were in Vietnamese and the essays were either in Vietnamese or English for students’ convenience. The results showed detailed benefits and problems of learning English with Duolingo as perceived by the students. The key benefits include the fact that Duolingo is a valuable resource: rich and free; the limitation is mainly learners’ lack of experience with the application. It is suggested that with teachers’ guidance, Duolingo could be used as an effective and motivating tool for independent learning.  

In spite of numerous studies on the effect of AIAT on foreign language learning, few have examined its impact on university students’ academic writing proficiency over an extended period. This study, therefore, investigated the effect of Google Translate (GT) on the writing proficiency of English as a Foreign Language (EFL) university students. It examined fluency, lexical density, accuracy, and syntactic complexity across four versions of students’ writings: the pretest, writing with the aid of GT, the posttest, and a retention test conducted two to four months after the treatment. The findings indicated that syntactic complexity, accuracy, and fluency improved when students used GT for writing; however, these measures showed a significant decline in the posttest and retention test without GT. This decrease was more pronounced in lexical density and less so in syntactic complexity. Despite this decline, all factors assessed in the retention test still showed improvement compared to the pretest, indicating the positive effect of GT on students’ foreign language writing performance.

This study investigated the discourse features of requestive speech acts in 10 textbooks from the Top Notch and Summit series to assess their potential for developing learners' pragmatic competence. Requests were analyzed in terms of directness strategies, head acts, and supportive discourse moves, drawing on the frameworks of Blum-Kulka et al. (1989) and Farch and Kasper (1989). The findings revealed a bias towards direct request strategies in both series, likely influenced by their utilitarian discourse structure. While Top Notch provided a wider range of directness levels, Summit, designed for advanced learners, offered limited exposure to diverse request strategies. Internal supportive moves, particularly the use of questions, were more prevalent than external moves in both series. These findings suggest that while the series contribute to language learning, they may not fully equip learners with the pragmatic competence necessary for effective intercultural communication. Further research is needed to explore the impact of explicit instruction and implicit learning on the acquisition of request strategies.

Impoliteness has become a crucial aspect of digital communication, particularly on social media platforms such as Instagram. Despite the vast expansion of online discourse, research on gender-based differences in impoliteness strategies remains limited, especially in the context of English comments on Instagram’s broadcast pages. This study fills this gap by examining the impoliteness strategies employed by female and male’ Instagram users.  For doing this study, a corpus of 520 comments (17,850 words) posted by 256 female and 264 male users on CNN, BBC, Fox News, and The New York Times Instagram pages between 2022 and 2025 based on Culpeper’s (2011) five impoliteness strategies was analyzed. After coding and analyzing comments, a Chi-square test was conducted to determine the significance of gender differences. Results indicated that the bald-on-record strategy was the most frequently used strategy (29.9%), and withholding politeness was the least frequent (11.81%). The results of this study also revealed that, although females exhibited a slightly higher usage of negative impoliteness strategy (19.90%) than males (18.79%), the overall gender differences in the employment of impoliteness strategies were not statistically significant. These findings showed that impoliteness on Instagram is influenced more by platform norms than by gender differences. The study highlights the importance of understanding impoliteness in online discourse for language instructors, online communicators, and digital content developers. For future studies, researchers can explore nonverbal cues, cultural differences, and the evolving nature of impoliteness strategies across multiple social media platforms to gain a more comprehensive understanding of gender and online discourse.