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Discourse markers play a crucial role in textual cohesion and coherence. By identifying patterns of discourse marker usage, valuable insights can be gained into the underlying communicative strategies employed by text producers. Qur’anic discourse markers are of particular significance for several reasons, making their translation a critical area of study. Accordingly, this article aims to examine the second most frequent, complex, ambiguous, and multifaceted Qur’anic discourse marker, fa, in a Persian and English Qur’anic parallel corpus from a pragmatic perspective. To this end, six ajzā (parts) of the Holy Qur’an were randomly selected as the research sample and served as the source text of the corpus. The Persian translation by Ali Maleki and the English translation by Tahereh Saffarzadeh were chosen as the target texts through purposive sampling. The bilingual parallel corpus was designed to facilitate the investigation of variations and trends across the two languages, thereby providing a more in-depth understanding of the translation process. The analysis of this corpus revealed that translators rendered this Qur’anic meta-discursive component figuratively, communicatively, and dynamically by employing four different types and 81 unique discourse markers to establish various logical relationships between discourse units. These discourse markers conveyed discursive functions of contrast, elaboration, inference, and temporality. This figurative and communicative system, adopted and adapted in the construction of discourse, is substantiated through different theoretical perspectives in discourse analysis and pragmatics. Beyond its contribution to discourse analysis by highlighting the complexities of language use and the interpretation of sacred texts across languages, the study’s findings offer valuable insights for translators in general, and for Qur’an translators in particular, by shedding light on the intricate yet subtle process of discourse construction and its crucial role in facilitating more effective communication.

Evaluating research designs plays a pivotal role in promoting principled Mixed Methods Research (MMR). Although the quality of mixed methods designs has been among the most debated topics, scant attention has been drawn to the investigation of Applied Linguistics (AL) Islamic World Science Citation Center (ISC) journals. Informed by this gap, the present exploratory sequential mixed methods study aimed at analyzing the research designs, tools of data collection, and purposes of 303 MMR articles published in 12 leading ISC journals. This involved a qualitative content analysis using a code sheet based on established MMR typologies, followed by a quantitative frequency analysis to determine the prevalence of these coded categories. The findings indicated that sequential designs were more frequently used in the corpus. Moreover, as regards the tools of data collection, questionnaires and interviews were the most commonly utilized ones. Finally, exploration purpose was the prime purpose opted for by the researchers in the study corpus. The study highlights the importance of conducting principled MMR through the reconceptualization of designs from method to methodology level. It further argues for a systemic view of MMR in which there is a cyclic interaction among fully integrated stages of an MMR design. The implications of the findings are discussed throughout the paper.

This study investigates the effect of corrective feedback on Iranian English as a Foreign Language (EFL) learners’ interlanguage pragmatic (ILP) development in the context of invitation acceptance and declination. Three intact experimental groups were selected via convenience sampling from an English institute in Tehran: a recast group (N = 13), a metalinguistic group (N = 17), and a clarification request group (N = 12). Prior to the treatment, the groups participated in a dialogic extended discourse pretest. The dialogues for invitation acceptance and declination were drawn from Top Notch, American English File, English Result, and Four Corners. Learners’ performance was assessed using two checklists—one for pragmalinguistic and the other for sociopragmatic knowledge—based on a five-item Likert scale ranging from inappropriate to most appropriate. Treatment sessions were conducted three times per week, each lasting 60 minutes, over a period of one month. The findings reveal that corrective feedback significantly enhanced ILP development. Notably, the metalinguistic group outperformed the recast and clarification request groups. Consequently, metalinguistic corrective feedback proved more effective than recast and clarification feedback in fostering Iranian EFL learners’ ILP development concerning invitation acceptance and declination.

Teaching and learning have long struggled with burnout, a condition of mental exhaustion. Burnout has turned out to be influenced by several antecedents; the effects of some such as self-efficacy, motivation, and enjoyment have already been addressed, whereas those of others remain to be considered. Due to persistent burnout among students and several unidentified contributing factors, this study investigates how proactive personality and L2 grit impact L2 burnout. The following are hypothesized: 1. proactive personality can negatively predict burnout among Iranian L2 learners. 2. L2 grit can negatively predict burnout among Iranian L2 learners. A total of 613 students, which comprise 315 females and 298 males, studying at various senior and junior high schools in Semnan, Iran, were selected through convenience sampling; they were provided with a questionnaire quantifying how proactive and gritty they are. Subsequently, the data was analyzed using SPSS 22, showing that both proactive personality and grit negatively predict burnout; proactive personality alone explained 6.4% of the variance (R² = .064), while L2 Grit explained 62.0% (R² = .620). It can be concluded that higher levels of both antecedents reduce learner burnout.

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.

Advances in generative artificial intelligence (AI), particularly large language models, offer new possibilities for language learning. This study, grounded in sociocultural theory, examined the impact of an AI assistant ( Monica ) on English as a Foreign Language (EFL) students’ writing development. A total of 120 male students (aged 26–36, A2 proficiency) participated in a four-month in-service program. The participants were randomly assigned to either an experimental group, which engaged in AI-mediated collaborative writing, or a control group, which collaborated face-to-face. A sequential explanatory mixed-methods design was employed, integrating pretest–posttest measures, questionnaires and semi-structured interviews. Quantitative analyses (Split-Plot ANOVA) showed that the AI-assisted group significantly outperformed the control group in Organization, Language Use, and Mechanics, but not in Content or Vocabulary. Importantly, students’ perceptions shifted dramatically: While only 23% initially held positive expectations, 90% reported positive experiences post-intervention, highlighting the role of affective factors in technology adoption. Qualitative data confirmed cognitive, metacognitive, and motivational benefits of AI interaction, but also revealed challenges including overreliance on AI, uncritical acceptance of feedback, difficulty integrating new vocabulary, and cognitive overload when faced with multiple corrections. Sociocultural concerns, such as academic integrity, face-saving practices, and peer judgment, further influenced student engagement. From a theoretical standpoint, the study contributes to sociocultural scholarship by evidencing the ways in which student–AI interaction shapes and mediates writing development. Pedagogically, it calls for intentional scaffolding to foster critical and reflective practices, reframing AI not as a functional tool but as a meaningful collaborator in the learning process.

Literature theoretically provides many positive contributions that could impact students’ learning performance in reading. It is because literature consists of two fundamental functions that Horace called it dulce et utile (sweet and useful). Besides, literature also contains two important elements, i.e., intrinsic and extrinsic. Integrating these literary elements into literary reading activities builds students’ comprehension skills to analyze various aspects, e.g., character, plot, setting, theme, and stylistics as the intrinsic elements and sociology, psychology, politics, and philosophy as the extrinsic elements. In studying the discourses, this research presented perceptional theory and a study of the LBI approach used in a reading course that analyzed the impacts on students’ learning performance. The methodology used in this research was Cresswell's (2016) mix-method with an explanatory case study approach. To collect the needed data, several instruments were utilized in this research, such as interviews and questionnaires. All the collected data were analyzed using a thematic analysis approach. After collecting, analyzing, and discussing the data, the results demonstrated that students perceived that LBI material was enjoyable, challenging, and contains moral teaching. Furthermore, students also felt that LBI material impacted some good learning performance, i.e., LBI material improved students’ reading skills, triggered students’ critical thinking, and transformed students’ learning attitudes.  

Modality is a linguistic device used to express concepts such as necessity, obligation, probability, commitment, and assumption in language. To fully describe events, situations, or people's attitudes, the use of verbs or noun phrases alone is not sufficient. Modality serves as an essential tool in all human languages for accurately conveying meaning. This study provides a theoretical analysis of modality in Laki, focusing on the modal functions of the element [maw] within Palmer’s (2001) framework. In addition to its role in forming compound verbs in Laki, [maw] also has a modal function. The analysis demonstrates that this element conveys the modal meanings of possibility and permission. It is a commuting term that takes on different meanings in various contexts. It also appears once in a sentence before the lexical verb and is not inflected. Based on these four criteria, [maw] can be considered a modal auxiliary verb. This element represents event modality of permissive deontic in the Laki language. 

This research investigates the impact of textual coherence factors on the improvement of reading comprehension in elementary school students. It aims to analyze the influence of grammatical, lexical, and connective elements on students' ability to recall stories, utilizing the framework of systemic functional linguistics (SFL). Textual coherence, as one of the key components in understanding and conveying meaning in educational texts, plays an important role in improving reading comprehension. This study uses a qualitative method and analyzes 64 stories from elementary school Persian textbooks to identify and analyze textual applications and their effects on students' recall of the stories. Data were collected through questionnaires based on Halliday and Matthiessen's (2014) SFL. A researcher-made questionnaire was designed, and 150 students were recruited to answer the items on a 5-point Likert scale. Results showed that grammatical, lexical, and connective coherence effectively improve students’ text recall. In comparison, the lexical features are more effective than connective and grammatical features, facilitating students’ recall of the stories in Persian textbooks. This study reveals that teachers at the elementary level need to focus on textual coherence, especially grammatical and connective, and then lexical features. Implications suggest that textbook designers focus on textual structures in designing educational textbooks since they affect students’ recall and improve their reading comprehension.