درخت حوزه‌های تخصصی

This study explored the rhetorical strategies employed by Republican and Democratic nominees during the 2024 U.S. presidential campaigns, focusing on the discursive techniques used to appeal to partisan bases and shape voter perceptions. Grounded in Van Dijk’s Ideological Square—a theoretical framework for analyzing how language constructs ideological divides—the research investigated the role of positive self-presentation, negative other-presentation, and the strategic framing of political ideologies in the construction of party identity. A mixed-methods approach, combining both quantitative analysis of discourse patterns and qualitative examination of rhetorical strategies, uncovered the distinctive ways each party uses language to reinforce ideological commitments and polarize the electorate. The findings reveal significant differences in how Republicans and Democrats position themselves and their opponents, with Republicans often employing fear-based rhetoric, in-group/out-group distinctions, and a focus on "threat" narratives. In contrast, Democrats tend to emphasize unity, inclusivity, and collective responsibility, though occasionally at the risk of alienating moderates or dissenting voices within their own ranks. The study also highlights the growing role of digital media and algorithm-driven communication, demonstrating how technological platforms have amplified the impact of these rhetorical strategies, especially in the form of targeted misinformation and tailored inclusivity messages. The implications of the study extend to the fields of sociolinguistics, political communication, and media studies, emphasizing how language shapes ideological alignment, reinforces social divisions, and influences democratic processes in the digital age.

Academic writing has emerged as a central area of inquiry among researchers specializing in English as a Foreign Language (EFL) writing. Utilizing a mixed-methods research design, the current study aimed to explore the mediatory role of digital literacy in the writing improvement of EAP learners in a ChatGPT-supported writing course. Following the administration of the Oxford Placement Test (OPT) and digital literacy questionnaire, a cohort of 100 upper-intermediate learners from a non-profit university in Mazandaran, Iran was randomly selected. The participants were then split into two experimental groups (high vs. low digital literacy) and two control groups (high vs. low digital literacy), with each group consisting of 25 participants. The experimental groups received writing instruction that incorporated ChatGPT, while the control groups were taught implementing traditional pedagogical methods devoid of ChatGPT. Data were gathered through pre- and post-writing assessments along with semi-structured interviews. Results from the pre- and post-tests indicated that the experimental groups with either high or low digital literacy exhibited significantly superior academic writing outcomes compared to the control groups. However, no notable disparity was evidenced between the two experimental groups. Analysis of the interviews revealed that ChatGPT contributed greatly to their writing accuracy and fluency, while creating several challenges namely the generation of inappropriate responses and limited access. On implication side, suggestions are offered for prospective EAP students, teachers, teacher educators, and syllabus designers along with a sketch of possible avenues for further exploration.

The present explanatory mixed methods study was designed to investigate the difference between the effects of using the pyramid model of Willingness to Communicate (WTC) and Communicative Tasks (CTs) on reducing Iranian English as a Foreign Language (EFL) learners' speaking barriers. The participants were 57 Iranian EFL learners selected based on convenience sampling from a language institute in Tehran. The Preliminary English Test (PET) results verified their homogeneity. To foster a stronger spirit of cooperation among the participants, they were placed in three different classes based on their tendencies; hence, the researchers could consider them as three groups: the Pyramid Model Group (PMG), the Communicative Tasks Group (CTsG), and the Conventional Approach Group (CAG) each including 19 participants. The PMG received instructions pertaining to the six levels of PM in willingness to communicate (WTC), while the CTsG received instructions based on information gap, reasoning gap, and opinion gap activities. The CAG relied on the Audio-Lingual Method (ALM), which the institute regularly followed. Accordingly, the three groups went through pretesting, intervention, and post-testing. The participants completed a speaking barriers survey as pre- and post-tests. Then, ten participants from the three groups were randomly selected and interviewed about the impact of the methods they had experienced on their speaking barriers. The Analysis of Variance (ANOVA) revealed the priority of the pyramid model of WTC over communicative tasks and conventional teaching in reducing learners' speaking barriers. The interview results also confirmed the quantitative findings indicating that anxiety, learners' low self-confidence, along with linguistic and instructional barriers could be reduced through being exposed to the pyramid model instructions. The results can be helpful for ELT professionals, EFL teachers and learners, and other stakeholders to hold more thriving L2 speaking classes.

This study examines the effectiveness of the cyclic group work method in enhancing reading comprehension among Iranian high school EFL learners, grounded in the principles of micro-teaching (Allen, 1967). By dividing texts into manageable sections, the method structures a 90-minute dynamic classroom session where students engage in collaborative learning, peer questioning, and critical discussion under teacher supervision. The research employs a qualitative-analytical framework to evaluate how this seven-stage approach—incorporating homogeneous and heterogeneous grouping, iterative questioning, and collective feedback—aligns with micro-teaching’s core tenets: initiating behaviors, material presentation, consolidation, monitoring, and evaluation. Findings reveal that the method fosters exceptional student participation, as learners subconsciously strive to contribute within and across groups, internalizing material through active dialogue. The teacher’s dual role as facilitator and supervisor ensures mental and physical engagement, enabling sustained practice in reading and reasoned text analysis. The study bridges gaps in EFL research by adapting cyclic group strategies to Iran’s teacher-centered, resource-constrained context, demonstrating improved comprehension outcomes.

mathematical resilience and academic achievement in mathematics among students in the humanities. The study employed a descriptive correlational design. A total of 282 eleventh and twelfth-grade students in the humanities (138 girls and 144 boys) from Tehran were selected using convenience sampling. Participants completed the Asher and Pajares Mathematical Self-Efficacy Scale, the Kooken et al. Mathematical Resilience Scale, and their mathematics academic achievement was assessed based on the average of their previous final grades. Structural equation modeling was used for data analysis. The results revealed that mathematical resilience and mathematical self-efficacy have a direct impact on the academic achievement in mathematics among students in the humanities. Furthermore, data analysis results indicated a significant relationship between mathematical resilience and academic achievement in mathematics among students in the humanities, mediated by mathematical self-efficacy. Therefore, mathematical resilience and mathematical self-efficacy play crucial roles in the academic advancement of students in the humanities, and incorporating these components into mathematics education can be effective in enhancing the academic achievement in mathematics among students in the humanities.