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Social media platforms, particularly Twitter, have transformed how academics communicate, disseminate research, and engage with broader audiences. This study explored intertextuality within academic tweets crafted by applied linguists across five English-speaking countries: the United States, the United Kingdom, Australia, Canada, and Ireland. By analyzing tweets from prominent Applied Linguistics associations, the research identified intertextual representations and examined how they refer to or incorporate other texts. The study used a qualitative approach to uncover the forms and functions of intertextuality, highlighting the complex relationships between texts and social actors on Twitter. A corpus of 300 tweets from major associations in Applied Linguistics provided a rich dataset for analysis. Key findings indicated that intertextual practices in academic tweets are crucial for self-promotion, publicizing research outputs, and building academic communities. Multimodal quotations, digital mentions, and hyperlinks enhance engagement, extend reach, and provide additional context. Tweets served multiple functions, including community building, networking, and public dissemination of academic knowledge. The study highlighted the evolving nature of academic communication on social media, suggesting that applied linguistics groups strategically use Twitter to enhance their scholarly presence and impact. Practical implications included the strategic use of hashtags, multimodal elements, and active engagement through retweets, mentions, and replies, which improve visibility, impact, and foster a sense of community within the field.

Employing reliable evidence-based academic word lists has been a noticeable concern for numerous educators, students, and researchers in English for Academic/Specific Purposes (EAP/ESP) courses. Currently, many of these courses still lack research-oriented materials and rely heavily on traditional ways of teaching field-specific terminologies. This study aimed to create a specialized corpus to identify the most frequent academic words in Welding Metallurgy (WM) and to analyze the most prevalent three- and four-word lexical bundles (N-grams). We employed a corpus-based approach, and identified top-tier journals of WM; then, we analyzed the articles from 2017 to 2023 that followed the Introduction, Methodology, Results, and Discussion (IMRD) format. As such, 875 empirical research articles were compiled and analyzed to establish a specialized corpus with four million words. After applying word selection criteria, 608 lemmas were identified. Furthermore, we recognized 68 technical acronyms in the field and grouped them into an independent list. We also highlighted the most prevalent N-grams to explore the field's formulaic language. Consequently, 61 prevalent technical N-grams were recognized. As part of pedagogical implications, this study would deepen ESP course instructors’ knowledge and urges them to be more mindful of evidence-based material. It also encourages students to give more weight to their fundamental discipline-specific needs by incorporating authentic word lists in practice.

The optimal implementation of Computer Assisted Language Learning (CALL) in Iranian EFL higher education faces some challenges despite its incremental growth. It is, therefore, necessary to investigate the current challenges affecting university professors' and students' adoption of CALL in Iranian EFL contexts. For this purpose, data were collected through semi-structured interviews with three purposeful sampling groups of participants, both before and after the temporary shutdown of the educational sector due to COVID-19 spread. Therefore, 33 interviewees—university EFL professors, students, and Information Technology Support Engineers (IT-SE)— took part in an interview which took approximately 90 minutes for each, conducted in person or over WhatsApp and Skype platforms. All the interviews were audio recorded and transcribed for thematic analysis by the first researcher and an assistant researcher. The obtained results highlighted nine major categories of themes that indicated the obstacles and challenges of optimal CALL implementation. These challenges are related to 1) technological dimension, 2) teacher dimension 3) student dimension, 4) software and hardware dimension, 5) sanctions and filtering dimension, 6) curriculum dimension, 7) the nature of e-learning dimension, 8) socioeconomic and cultural dimension, and 9) university administrators' dimension. It was the sanctions and filtering dimension, the nature of e-learning dimension, and the socioeconomic dimension that were exclusive to this study. Each of these major themes includes a set of minor themes. The results can contribute to educational planners, curriculum and material developers, and teachers to develop education programs for optimal CALL implementation in Iranian EFL higher education by removing the challenges.

Although pair work interaction gained substantial attention in recent decades, little is known about the best method to enhance its effectiveness. This study investigated the impact of peer modelling demonstration of collaborative writing tasks as a pedagogical intervention on Language-Related Episodes (LREs) and pair dynamics. Using a one-group pretest-posttest design with a delayed posttest, twenty intermediate learners were randomly paired up to complete three tasks (information-gap, story reconstruction, and jigsaw), which also involved a paragraph-level writing over a three-week period. Each session, the participants were required to work on one task while recording their voices. In the second session of the study, the pairs were provided with the peer modelling video to explore its contribution to their performances. The pairs' audio-recorded performances (about 15 hours) were carefully transcribed and later analyzed for a) the frequency, types, and resolution of LREs and b) pair dynamics. Results of Negative Binomial Regression revealed that peer modelling had a significant positive effect on pair performance, in a way that, after the provision of peer modelling, the pairs produced a significantly greater number of LREs and correctly resolved the majority of the conflicts. Additionally, analysis of McNemar's test revealed that the pairs demonstrated more collaborative pair dynamics subsequent to peer modelling. The findings are pedagogically important as they support peer modelling as a valuable pedagogical technique to be integrated into language learning classes to ensure L2 development and foster qualities of pair work.

This study rigorously investigates the impact of portfolio self-assessment on the enhancement of English language skills among pre-intermediate English as a Foreign Language (EFL) learners. A quasi-experimental design was employed, comprising a sample of 64 male students, aged between 12 and 15 years, drawn from two intact classes at the Dolat and Mellat Language Institute in Gilan, Iran. The participants were systematically divided into two groups and engaged in a 12-week instructional program: the experimental group (n = 31) was subjected to portfolio self-assessment, whereas the control group (n = 33) adhered to conventional assessment methodologies. To evaluate language proficiency, the American English File 2 Test was administered as both a pre-test and a post-test. The analytical approach consisted of descriptive statistics, Shapiro-Wilk normality tests, paired and independent samples t-tests, and effect size calculations. The analysis of the data revealed that the experimental group demonstrated a statistically significant superiority over the control group in language proficiency, as evidenced by the results (t (62) = 9.920, p < .001, r = .61) across all assessed language skills. Notable were the substantial effect sizes observed in reading (r = .76), listening (r = .34), and writing (r = .27). These findings underscore the efficacy of portfolio self-assessment as a learner-centered strategy that enhances language proficiency, fostering metacognitive awareness. The research highlights the need to integrate reflective assessment methods into EFL pedagogy and calls for further investigation into their long-term implications.

Developing ESL learners’ speaking skills who study in Iranian senior high schools poses significant challenges due to the domination of traditional grammar-focused methods. This study investigates the effect of dialogic teaching rules, based on Alexander’s (2017) model, on the speaking skills of Iranian high school ESL learners. In a quasi-experimental pretest-posttest design, 43 Iranian twelfth-grade students were assigned to an experimental group (n=22) taught with dialogic rules and a control group (n=21) taught conventionally using Vision 2 and Vision 3 materials. Speaking fluency, accuracy, cohesion/coherence, and interactive skills were assessed (scored out of 25). Repeated measures ANOVA showed significant improvement in the experimental group's speaking performance as a whole (F (1, 41) = 14.50, p <.001) compared to the control group, with significant improvements in fluency and interactive skills. According to Vygotsky's (1978) Sociocultural Theory, Communicative Language Teaching, Constructivism, and Bakhtin's Dialogism, these findings demonstrate that dialogic teaching enhances communicative competence. These results suggest that implementing dialogic teaching strategies can transform ESL classrooms by improving dynamic, learner-centered contexts in which oral interaction is prioritized.

As a relatively new pedagogical approach, flipped instruction has received much attention. Accordingly, numerous studies in the field of English Language Teaching (ELT) have delved into the usefulness of flipped classroom for language learning; however, this mode of instruction has yet to be explored in the area of second language (L2) listening. This being so, the current study investigated the effect of a flipped course model on Iranian English as a foreign language (EFL) learners’ listening performance and L2 listening anxiety utilizing a pretest-posttest control group design. The study divided 39 students preparing for the International English Language Testing System (IELTS) exam into two groups: One class received conventional instruction (non-flipped), and one class received instruction based on the principles of flipped instruction (flipped). The participants answered two IELTS practice tests and completed two questionnaires, namely the Listening Anxiety Questionnaire and the Perception of Flipped Learning Experience questionnaire. The results of statistical analyses revealed that the listening performance of both groups improved significantly from the pretest to the posttest and that the flipped class outperformed the control group. Furthermore, it was found that not only did flipping the class alleviate participants’ L2 listening anxiety substantially, but also it positively influenced their attitude toward this mode of instruction. Implications of these findings have been elaborated for stakeholders. 

This article deals with the behavioral intentions of high school English teachers in Iran (hereafter teachers) for the development of computer-mediated courses (hereafter courses). It applies the theory of planned behavior (TPB) to examine the relationship between attitudes, subjective norms, perceived behavioral control and intentions to create the courses. A survey was conducted using the social media platforms, namely Shad and Telegram. Four hundred forty teachers participated in the survey filling in a questionnaire consisting of thirty-five 7-point bipolar Likert- scale items. Path analysis was employed to investigate the factors influencing the teachers’ behavioral intentions to develop the courses. Moreover, the analyses revealed that 44 percent of the variance in the teachers’ intentions cumulatively explained by their attitudes, subjective norms and perceived behavioral control. The poor model fit indicated that some factors such as contextual limitations or cultural differences might be at work, but the provision of significant relationship between the theory’s constructs is worth considering.

Adhering to Hyland’s (2019) Interpersonal Model of Metadiscourse, this paper examines the distribution of interactive metadiscourse markers across various topics in popular science commentaries. The corpus comprises 300 popular science commentaries, including 150 magazine articles and 150 newspaper articles, spanning nine years from 2015 to 2024. This period saw increased public debates due to significant scientific discoveries, making the analysis of such engaging content particularly relevant. A corpus of 346,825 running words was analyzed using Antconc software, identifying 24,492 instances of interactive markers. The study shows that subcategories of interactive metadiscourse are frequently used in both popular science magazine and newspaper articles. However, interactive markers appear more frequently in magazine articles than in newspaper articles, indicating that the former has more structured content. Chi-square test results for subcategories of interactive metadiscourse reveal significant differences in the distribution of transition markers, endophoric markers, evidentials, and code glosses between the two corpora. This suggests that ESP and EAP material developers should create more explicit learning resources. Such resources could help language instructors and novice researchers, especially those whose first language is not English, understand how the rhetorical functions of interactive markers influence writing styles across different genres and facilitate successful reader interaction.

Integrating Self-Regulated Learning (SRL) principles within Electronic Portfolios (e-portfolios) promotes reflection, progress monitoring, and strategic refinement, potentially strengthening learners’ speaking self-efficacy. Despite this alignment, empirical research on self-regulatory e-portfolios for speaking self-efficacy is limited. To address this gap, the present study examined the effects of a OneNote-based self-regulatory e-portfolio on Iranian EFL learners’ speaking self-efficacy and their attitudes toward the tool in an online speaking course. Grounded in SRL and social cognitive theory, speaking self-efficacy was conceptualized as a multidimensional construct encompassing performance, linguistic, and self-regulatory self-efficacy. A total of 52 intermediate and upper-intermediate Iranian EFL learners, selected based on a PET sample test, were randomly assigned to an experimental or a control group. Over a five-week online course, the experimental group developed self-regulatory e-portfolios in OneNote structured according to Zimmerman’s (2000) cyclical model of self-regulation. In contrast, the control group received conventional instruction. Data were collected using the 18-item Self-Efficacy for EFL Speaking Scale (SEESS), an attitude questionnaire, and semi-structured interviews. A Multivariate Analysis of Covariance (MANCOVA) revealed statistically significant gains in performance, linguistic, and self-regulatory self-efficacy for the experimental group, with medium to large effect sizes. Learners also reported positive attitudes toward the e-portfolio, valuing its accessibility, organizational features, and support for reflection, goal setting, and feedback, despite some initial emotional and usability challenges. Overall, the findings underscore the pedagogical value of OneNote-based self-regulatory e-portfolios for enhancing speaking self-efficacy in online EFL contexts.