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The present study investigates the emotional experiences of ten English as a foreign language (EFL) female students during an English vocabulary-building course, through the lens of Barrett’s Theory of Constructed Emotion (TCE). The data were collected using a background questionnaire, reflection paragraphs, and semi-structured interviews and were analyzed primarily by applying thematic analysis methods. The TCE was used to explain the wide range of emotions experienced and the reasons for fluctuations within a single EFL vocabulary course. The results revealed a diverse spectrum of emotions, including enjoyment, confidence, pride, anxiety, boredom, embarrassment, and blame, underscoring the TCE's premise that emotions are intricately constructed and influenced by personal learning experiences, the appraisal of learning events, contextual factors, and social interactions. Moreover, the study found that emotions are not only influenced by the situational context but also shape the situational context in turn. Thus, the findings highlighted the open and interactive nature of the systems students use to construct their emotions. Importantly, the study uncovered the strategies students employ to manage their emotions, highlighting the active role students play in shaping their emotional experiences. The findings provide valuable insights for EFL teachers, suggesting the need for a supportive and empathetic teaching environment that acknowledges the emotional dimensions of EFL vocabulary learning. By understanding and addressing these emotional aspects, teachers can better assist learners in managing their emotions, thereby optimizing vocabulary acquisition and enhancing overall learning outcomes. 

The use of smartphones in higher education has significantly impacted the global education landscape, particularly in Bangladeshi tertiary English as a Foreign Language (EFL) classrooms. Despite their importance in improving students' communicative competence, listening skills are often overlooked in these classrooms due to limited access to listening equipment. This study, at the very outset, seeks to address their challenges while developing listening. Furthermore, it focused on identifying the perception of the learners and teachers towards the appropriate and effective use of smartphones to minimize their listening difficulties. This research design followed the sequential explanatory mixed-method approach to align the objectives. Convenience sampling was employed to select 11 participants for the qualitative component, ranging from lecturers to associate professors, as well as 159 students from 25 universities across Bangladesh for the quantitative component. A questionnaire survey and semi-structured interview were used to collect data. The study utilized SPSS 25.0 to analyze quantitative data presenting mean, median, mode, and standard deviation for the descriptive study, and a deductive thematic analysis technique was employed for qualitative data. The results showed that learners believe smartphones effectively help them overcome challenges like context sensitivity, pronunciation, missed or misperceived words, natural speech rate adaptation, accent comprehension, and vocabulary deficits. This study also finds that using smartphones to improve students' listening abilities in tertiary EFL classes is highly doable. This study also recommends that EFL teachers and administrative authorities work together in order to successfully integrate cell phones in an EFL classroom.

There is research paucity concerning EFL learners’ self-formation, taking the role of IELTS writing skills into account. With a view to this, the present study aimed to see what a model of possible self-construction before and after training on IELTS writing skills emerges and what the psychometric properties of the emerged model are. To this end, a grounded theory approach was used. Of the IELTS candidates taking part in five IELTS preparation centers in Kerman, 90 (55 males and 35 females) candidates were selected as the participants of the present study through cluster sampling. A semi-structured interview was used to identify the possible selfof the participants. Coding procedures (i.e., open, axial, and selective coding) and Structural Equation Modeling (SEM) were used to analyze the data. According to the results, a model of possible selfconstruction before and after training on IELTS writing skills emerged wherein before training on IELTS writing skills, feared possible selfwere more dominant than expected and responsible possible selves. Furthermore, after training on IELTS writing skills, expected and responsible possible selfwere constructed more dominantly than feared possible selves. Implications of the results for EFL curriculum planners, teachers, and learners have been discussed.

This study investigates the impact of computerized dynamic assessment (C-DA) on grammar learning among Iranian EFL learners, focusing on the moderating role of working memory (WM). A nonrandomized pretest-posttest control group design was employed, with 60 male learners aged 17 to 18 divided into experimental and control groups. The participants were assessed using the Oxford Quick Placement Test (OQPT) to determine language proficiency and a researcher-made test to measure knowledge of past perfect tense. The intervention involved C-DA sessions conducted via the Google Meet platform for the experimental group, while the control group received traditional teacher-fronted lessons. Results from independent-sample t-tests and one-way between-groups ANOVAs revealed a significant improvement in grammar learning among the experimental group compared to the control group. However, no discernable difference was found in the performance of high and low WM learners in response to C-DA. These findings highlight C-DA's potential as a practical instructional approach for grammar learning in EFL contexts. They underscore the need for further research to explore its utility across different learner profiles.

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.

Local item dependence (LID) refers to the situation where responses to items in a test or questionnaire are influenced by responses to other items in the test. This could be due to shared prompts, item content similarity, and deficiencies in item construction. LID due to a shared prompt is highly probable in cloze tests where items are nested within a passage. The purpose of this research is to examine the occurrence and magnitude of LID in a cloze test. A cloze test was analyzed with the Rasch model and locally dependent items were identified with the residual correlations. Findings showed that three pairs of items were locally dependent. When these items were removed from the analysis, test reliability dropped but item fit and unidimensionality improved. Removing the three locally dependent items did not affect person ability mean and standard deviation, though. The findings are discussed in terms of LID detection and modeling in the context of cloze test and language testing.

The advent of ChatGPT, an all-purpose intelligent Chabot created by Open AI, has created a multitude of prospects and opportunities within the realm of language education. Owing to its exceptional capacity to produce a wide range of textual outputs, ChatGPT responds to queries in a matter of seconds. The present study aimed to examine the appropriateness of ChatGPT-based instruction and flipped language learning instruction (FLLI) in classrooms in terms of enhancing EFL learners’ interactional metadiscourse realization across language proficiency levels. Sixty-three English language learners were divided into four distinct groups: 16 in the advanced and 16 in the intermediate FLLI group, 15 in the advanced, and 16 in the intermediate ChatGPT group. Before initiating the study, all participants were given a pretest that specifically assessed the use of interactional metadiscourse markers (IMMs) in argumentative writing. The four experimental groups were separately exposed to ChatGPT-based instruction and FLLI during eight sessions. Results from a two-way analysis of variance (ANOVA) procedure through SPSS (version 25) revealed that the ChatGPT-based instruction was more effective than FLLI, and both intermediate and advanced language learners following the ChatGPT-based instruction used IMMs in argumentative writing more successfully. Moreover, the participants’ perceptions of ChatGPT and FLLI were analyzed through MAXQDA (version 2020), showing more positive attitudes towards using ChatGPT in language learning in general and IM realization in particular. The findings have the potential to provide advantages for teacher educators in terms of utilizing ChatGPT learning approaches.

Lexical bundles are recurrent multi-word sequences that play a crucial role in academic discourse. This article presents an analysis of lexical bundles in book reviews across the disciplines of human and natural sciences. Drawing from a corpus of 737 book reviews, the study investigates the functional roles and structural patterns of these recurrent linguistic units. The research aims to bridge a gap in the literature by exploring how lexical bundles vary across disciplines. Employing a quantitative-qualitative approach, the study first quantitatively identifies the most common 4-word lexical bundles and compares their distribution between the two disciplines. The researchers then qualitatively analyzed the context in which these bundles are used, observing that they often serve to refer to or evaluate the structure, content, audience, or scope of the book under review. Findings reveal that while both human and natural sciences book reviews share some lexical bundles, they exhibit variations in their distribution, structures, and functions. Notably, natural sciences book reviews employ a greater frequency of lexical bundles signaling an evaluative context, particularly contexts related to the assessment of a book. The study also uncovers differences in the structural preferences of lexical bundles between the two disciplines. This research contributes to a deeper understanding of the genre-specific utilization of lexical bundles and underscores their role in conveying evaluative meaning in scholarly discourse. Furthermore, the study suggests avenues for further exploration, providing a foundation for future investigations into the intricate interplay between linguistic features and disciplinary preferences.

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.

Critical thinking (CT) abilities have failed to receive the necessary consideration in applied linguistics. Thus, this study was intended to explore English as a Foreign Language (EFL) academics and Doctor of Philosophy (PhD) candidates’ perceptions of embedding CT into the EFL curricula in Iran. Moreover, it aimed to identify the primary obstacles teachers may have while employing CT skills, and suggest some necessary strategies to strengthen students' CT abilities. To do so, a total of 50 male and female EFL academics as well as 50 male and female PhD candidates specializing in Applied Linguistics, Linguistics and Literature, as well as Translation at different universities in Iran participated in this study. The present investigation employed a mixed-methods design. To this end, an adapted version of Stapleton's (2011) CT questionnaire was used. Moreover, semi-structured interviews were undertaken with a cohort of 5 EFL academics and 5 PhD candidates. The outcomes underscore the need for educational policymakers and curriculum developers to recognize the significance of CT in language learning and to infuse more systematic and explicit approaches to teaching CT in Iranian EFL context. The pedagogical implications of the study were accordingly discussed. 

Incremental intelligence plays an important role in self-regulating and enhancing writing performance among language learners. The present study aimed to investigate the relationship among variables of the incremental theory of intelligence, self-regulatory writing strategies, implicit theory of writing, and writing performance in EFL learners. To do so, 320 Iranian IELTS candidates were invited to participate in the study. Three questionnaires, namely incremental intelligence, self-regulatory writing strategy, and implicit theory of writing, were utilized. The participants included male and female IELTS candidates aged 19-27 years with a minimum band score of 6.5 in their writing skill. Furthermore, their educational qualifications included BA and MA degrees. The collected data were analyzed using SPSS and structural equation modeling (SEM). The correlation analysis showed that the incremental theory of intelligence had a significant relationship with self-regulatory writing strategy, implicit theory of writing, and writing performance. Moreover, the obtained results of SEM confirmed the findings of the correlational analysis, indicating statistically significant positive correlations among the variables of the study. The findings revealed that a growth-oriented mindset could affect students’ use of four types of self-regulatory writing strategies. Self-regulatory writing strategies also played a pivotal role in guiding, stimulating, motivating, and sustaining learners’ efforts, thus predicting writing performance. The results of this study can help EFL learners learn how to regulate and manage themselves in writing skills. Learners can assess the extent of their professionalism and endeavor to identify their weaknesses in the learning process.

Materials evaluation plays an important role in language teaching as it helps practitioners to develop an awareness of the coverage and quality of the existing materials and as such, guides most instruction and revision decisions. Therefore, we sought to evaluate three English Vision textbooks exclusively written for Iranian secondary high school students through a comparison to the identical Interchange book series, the fifth edition. Following a model of nominal groups outlined here, the evaluation targeted the quantity and quality of the groups appearing in the two series as they are assumed to be an important part of authentic language. For the quantitative part, the results indicated a significantly higher use of nominal groups in the Interchange series. Similarly, in the qualitative analyses, we found higher quality nominal groups appearing in the Interchange books. The findings revealed inadequate inclusion of nominal groups' potentially useful structures in the Vision textbooks, supposed to help teachers to raise an awareness so as to come up with appropriate instructional policies, and the textbook developers to consider the findings when any revision is due.

Reviewing related literature shows deviation from Searle’s felicity conditions has not been given attention. The present paper aims to investigate pragmatic deviation from Searle’s (1969) felicity conditions of illocutionary speech acts in the previous president of the US, Donald Trump’s political language. A qualitative method is used to gather and examine the data. The instrument consists of three oral documents which are chosen purposefully: (1) Trump’s discourse to a group of his supporters in Illinois state, (2) Trump’s meeting with Broadcasters MacCallum and Baier on Fox News Channel, and (3) Trump’s interview with Broadcaster Cooper on CNN Channel. The paper uses a discourse analysis method to study these documents. Findings reveal that Searle’s conditions (propositional content, preparatory, sincerity, essential) are deviated from in Trump’s political speeches: (1) Representative acts by making false claims without providing any evidence, (2) commissive acts by committing himself to do a future action, but Trump fails to fulfill it, (3) directive acts by ordering Joe Biden’s administration to prevent immigrants from entering the US, but Trump’s order cannot be done, (4) expressive acts by jokingly apologizing to his wife because he does not do anything wrong that pushes him to make an apology to her and thus has no real intention to do this act, and (5) declarative acts by declaring they are going to end Pelosi’s career politically, but she is not done.  It is also found that deviation from these conditions happens as a means of persuading, influencing, threatening, mocking, and attacking others.

This study takes a critical look at the purposive manipulation of discourse and rhetoric by the former Iranian President — Hassan Rouhani — when announcing the lockdown of holy sites during the COVID-19 crisis. A discourse analysis with a qualitative design was applied to study the political dimension of the discourse. This study is framed within the domain of systemic functional linguistics mood systems and the classical Aristotelian rhetoric trio — logos, ethos, and pathos. The results revealed that Rouhani mainly used the declarative mood in his speeches which performed three main functions: statements of opinion, statements of fact, and indirect directives. From a rhetorical perspective, Rouhani applied ethos considerably more than pathos and logos as a way to increase the credibility of his words while persuading the audience. Moreover, the researchers noticed that the former president employed multiple strategies to build pathos and ethos with the audience. These findings can suggest and encourage novel future research directions.