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The study investigates the popularity, language use, and food menu naming of Thai cuisine on international social media by analyzing 210 Thai food dishes from Allrecipes, a leading cooking and recipe website. Data were categorized to identify popular dishes and the top six food groups were found: curry, Pad Thai, soup, sauce, rice, and noodles. Curry dishes, particularly green and red curry, are the most popular followed by Pad Thai and soups like Tom Kha Gai and Tom Yum. Thai food names are predominantly translated into English with additional descriptors. English transliterations are used for iconic and national dishes like Pad Thai and Tom Yum, reflecting a global preference for accessible names. A free program called HK Coder was employed to analyze the data, determine word frequency, and identify keywords. The linguistic analysis revealed frequent terms such as "Thai", "chicken", and "curry" highlighting the significance of national identity and key ingredients of Thai cuisine. Remarkably, a less traditional dish ‘Peanut Butter Noodles’ also received high ratings as a popular dish, indicating a blending of Thai flavors with Western preferences. The study provides insights into how Thai food is perceived and adapted internationally, contributing to the understanding of cross-cultural culinary exchanges.

This study examined the impact of AI-driven feedback on the writing complexity of Iranian intermediate EFL learners using a quasi-experimental design. Through convenience sampling, 100 participants (male and female, aged 18-25) from two language institutes in Tehran were divided into four groups: two experimental groups receiving direct and indirect feedback from AI ChatGPT, and two control groups receiving the same feedback types from their teacher. Participants completed a pre-test, ten writing tasks over 14 weeks, and a post-test. Results, analyzed via descriptive statistics and one-way ANOVA, indicated notable improvements in writing complexity across all groups. The AI direct feedback group showed the highest improvement, with a mean difference of 5.24 (p < 0.05), followed by the teacher direct feedback group, which also demonstrated significant gains. The AI indirect feedback group exhibited moderate progress, while the teacher indirect feedback group showed the least improvement. Analysis of syntactic measures revealed that AI feedback, particularly direct feedback, effectively enhanced sentence structures and encouraged the use of more sophisticated vocabulary. These findings highlight AI-driven feedback’s potential to enhance EFL learners’ writing complexity, with direct feedback yielding the greatest benefits.

This study evaluated the validity of group dynamic assessment (G-DA), grounded in Vygotsky’s (1987) Sociocultural Theory, implemented in a class of intermediate learners to assess and promote L2 listening comprehension. To navigate the dual goals of assessment and instruction, flexible mediation attuned to the zone of proximal development of the learners was provided within the G-DA interactions. This led to the detection of nine mediational strategies. The validity of these G-DA interactions was explored by extending Poehner’s (2011) validation model to classroom setting. Poehner’s (2011) model includes two interrelated foci for DA validation: micro and macro-validity. Following Kane's (2021) argument-based approach to validation, evidence-based arguments were developed to explore the appropriateness of each mediational strategy given to the learners (micro-validity) as well as the success of that mediational strategy and the entire G-DA procedure in promoting learners’ L2 listening comprehension (macro-validity). Class transcripts were analyzed to gain evidence for the micro- and macro-validity of the G-DA interactions. The findings supported the usefulness of Poehner’s validation model in developing validity arguments to determine the appropriateness of the interpretations made about learners’ abilities and the effects of the G-DA procedure on their development. Moreover, the study concluded that the analysis of learners’ independent performance needed to be added to Pohener’s macro-validation model so that it becomes applicable to G-DA

Due to the vital role of critical thinking skills in students' educational and non-educational success, the present research attempted to examine the impact of critical thinking skills in TBSIR approach on the computer-based English expository essay writing of Iranian university students. Participants of this study included 30 students at Gonbad-e-Kavous and Hazrat-e-Masoumeh universities in Iran. They answered to the Watson-Glaser critical thinking skills test (1980), then after two weeks of reviewing TSR structure, they wrote a computer-based English expository essay as pre-test. After four weeks of learning TBSIR structure, they wrote another computer-based English expository essay as post-test. The paired samples t-test and Pearson correlation were run and the results revealed the impact of critical thinking skills in the TBSIR approach on the computer-based English expository essay writing of Iranian university students. Also, the results indicate the positive and significant correlation between critical thinking skills especially analysis and interpretation and the computer-based English expository essay writing of Iranian university students, which helps the students to promote their educational and social lives. Finally, teachers, teacher trainers, syllabus designers and materials developers can benefit from the results of this study.

The purpose of this study was to compare the functioning of five restrictive CDMs, including DINA, DINO, A-CDM, LLM, and RRUM, against the G-DINA model to identify the best-fitting CDM which can better explain the interaction underlying the attributes of the reading comprehension section of an Iranian high-stakes language proficiency test. To achieve this aim, item responses of 1152 examinees to the items of the test were examined. The six CDMs were initially compared in terms of relative and absolute fit statistics at test-level to choose the best model. It was found that the G-DINA model outperformed compared to the restrictive models; thus, it was selected for the second phase of the study. Concerning the second purpose of the study, the G-DINA was used to identify strengths and weaknesses of the examinees. The results revealed that making an inference and vocabulary are the hardest attributes for examinees of the test, and understanding the specific information is the easiest attribute. Finally, the models were also compared at item-level. The presence of a combination of L2 reading attributes was found.

Language learning platforms or channels have always been a challenge and source of inspiration for the respective SLA researchers. The two widely used channels are learning exercises and tasks, which have received much research but which is more effective in developing language skills (listening here), is still controversial. Additionally, learners' features, including their learning styles, might be either an effective or an affected factor in applying either channel. To shed light on both problems, this experimental research employing 55 conveniently sampled Iranian intermediate EFL learners categorized into experimental and control groups was conducted. The experimental groups exposed to both pre-and post-tests received task- and exercise-based listening instructions separately for ten sessions. Their perceptual learning styles were also measured after the interventions. The respective parametric statistical analysis (i.e., independent-samples t-test) showed that both groups performed roughly equally in the post-test, and there was statistically no significant difference between intervention types. ANCOVA was run concerning each sub-style to address the status of the learning styles. Similarly, the relationship between listening ability and method type showed no statistically significant differences, regardless of whether the effectiveness of either treatment was natural. Both listening activities worked efficiently to enhance learners' listening comprehension abilities. Statistically speaking, the results confirmed the non-significantly differentiating effects of both independent variables on developing listening skills and modifying learning styles. The findings are more challenging rather than concluding, which, while bearing specific pedagogical insights, motivates further research.

This study provides a comparative analysis of the rhetorical, pragmatic, and semantic strategies used by English-speaking and Arabic-speaking politicians to manipulate their audiences. By examining political speeches from both linguistic contexts, the research reveals distinct cultural patterns in manipulation. English-speaking politicians often employ direct, fact-based appeals (logos), while Arabic-speaking politicians rely more on emotional and collective identity appeals (pathos). These strategies reflect the cultural and linguistic norms of each group. Additionally, the study highlights the evolving impact of digital media on political communication, showing how manipulative strategies have adapted to new technological platforms. The findings have important implications for political communication strategists, media professionals, and educators. They underscore the need for culturally nuanced communication strategies in cross-cultural political discourse, offer insights for enhancing public media literacy to combat manipulation, and provide a framework for further research into the role of digital platforms in shaping political rhetoric. Additionally, the study highlights the evolving impact of digital media on political communication, showing how manipulative strategies have adapted to new technological platforms. The findings have important implications for political communication strategists, media professionals, and educators. They underscore the need for culturally nuanced communication strategies in cross-cultural political discourse, offer insights for enhancing public media literacy to combat manipulation, and provide a framework for further research into the role of digital platforms in shaping political rhetoric.

Findings on recast as feedback on learners’ erroneous forms tend to be less than conclusive or confirmatory. Also, the conventional formulations in literature give partial accounts of recasting as an effective methodological practice. The present study proposes recast enriched by negotiation (REN) on the learners’ part as an alternative. For investigating the hypothetical effect, three all-female groups were concentrated on, namely explicit feedback, recast and REN. Summary writing task as post-test concentrated on the learners’ accuracy in terms of error-free T units, and complexity regarding word per sentence ratio as well as lexical density. One-way ANOVA for three independent samples and post hoc analyses revealed that accuracy and word per sentence ratio did not vary significantly; however, lexical density improved as a result of REN. Findings and implications of the study are discussed in the light of methodological potentials and literature.  

ChatGPT-assisted language instruction is gathering irresistible momentum in today’s fast-moving, AI-governed world of educational enterprises. The current scoping review article sought to analyze and synthesize the existing literature on the complementary use of ChatGPT in second/foreign language (L2/FL) education and pedagogy. Aligned with Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA‑ScR), the study adopted a systematic approach to evidential data search and analysis. A total of 28 peer-reviewed articles retrieved from well-established databases, such as Scopus and Web of Science (WoS), were reviewed to map the scope and consequences of the growing body of literature on using ChatGPT as an L2/FL learning/teaching tool. Centering around five predetermined variables, including setting, design, focus area, objective, and concluding remarks, the content or thematic analysis results helped to shape a clear picture of the literature under review. The literature-derived evidential data also referred to the fruits of ChatGPT-assisted instruction under three distinct headings: learning outcomes, pedagogical outcomes, and cognitive-affective impetus for language learning and teaching. The review results also revealed the repercussions of the instruction mainly concerned with ethical and technical concerns. Given the immature but fast-paced nature of the literature on the instructional model, this early attempt, though provided a brief sketch of the research scope and chief outcomes of the model, needs to be complemented with future systematic reviews to fully unlock the potential of language pedagogy well suited to the demands of today’s technology-governed education.

This study aimed to examine the impact of flipped classroom (FC) integrated with Massive Open Online Courses (MOOCs) on EFL learners’ use of self-regulated learning (SRL) strategies in writing. To this end, 60 intermediate college students, who were homogenized by a placement test, were selected and randomly divided into experimental and control groups. The treatment for the experimental group (flipped classroom integrated with MOOCs), took place in three phases, namely before class, in class, and after class. Before class, the materials and sources were delivered via Moodle application, a MOOC-based educational program. In class, the students participated in group discussions and an interactive feedback session. After class, they received online support. The participants in the control group attended the traditional face-to-face writing course, without the use of any technology-based instruments. They underwent only two phases: in-class and after-class activities. Before the treatment, an SRL strategies questionnaire was administered to all the participants. The same questionnaire was again administered to them at the end of the treatment. The results of ANOVA revealed that flipped classroom integrated with MOOCs had a statistically significant positive effect on the experimental group’s overall use of SRL strategies. Similarly, the method, performance, and social environment SRL dimensions improved significantly in the experimental group. Flipped classroom integrated with MOOCs may provide valuable insights for EFL contexts, particularly by encouraging self-regulated learning and reducing teacher workload, which can support the development of academic writing skills.

Iran Language Institute (ILI) plays a crucial role in teaching English in Iran and offers a comprehensive Teacher Training Course (TTC) for the teachers before their being employed. Still, these teachers encounter difficulties in different areas, but there are few studies investigating the teaching challenges of EFL teachers teaching at ILI. Thus, this study investigated the teaching challenges of newly-hired and experienced teachers, teaching at different age levels. The data were gathered data through 100 classroom observation forms belonging to 18 kids’ teachers, 47 young-adults’ teachers, and 35 adults’ teachers (69 experienced and 31 newly-hired). We also interviewed with 5 kids’ teachers, 5 young-adults’ teachers, and 6 adults’ teachers. It was revealed that young-adults’ teachers faced fewer challenges than kids’ and adults’ teachers. Besides, experienced teachers encountered fewer problems than newly-hired teachers. The results of the observation forms were different from the interviews. However, time management was the only problem which was mentioned in the interviews, observation forms, and different age levels. According to the teachers, the reason behind these challenges was the intensive syllabus, old books and videos, and teachers’ having to follow a series of fixed teaching steps.

The significance of assessment as a learning component has led to the development of a sound assessment system that supports the teaching and learning objectives. Achievement of learning assessment should prioritize assessment as learning (AaL) and assessment for learning (AfL) rather than the assessment of learning (AoL). The appropriate AaL and AfL have influenced the process of AoL. Almost all teachers in Indonesia have faced the challenge of implementing Aal and AfL. This study used a qualitative study to report English as a Foreign Language (EFL) teachers' perceptions and challenges regarding technology-based AfL and AaL. The design of the study was content analysis using the coding procedure and the grounded theory framework as the analytical foundation. Data gathered involved conducting structured interviews with 60 EFL teachers from three central provinces within Indonesia. The findings revealed that EFL teachers in Indonesia had different perspectives about technology-based AfL and AaL as flourishing assessment approaches. Most of the EFL teachers' perceptions said that due to a lack of time, large classes, and lack of knowledge and training on technology-based AfL and AaL principles and practices in EFL contexts, implementation of technology-based AfL and AaL was viewed as challenging. The study has implications for EFL teachers and trainers in developing an instructional model of technology-based AfL and AaL.