درخت حوزه‌های تخصصی

Writing assessments in the EFL context today have put a great concern on language acquisition and proficiency testing. However, diverse techniques and practices require a comprehensive synthesis to better understand trends, gaps, and best practices. This study reviews and synthesizes prior research on writing assessments in EFL contexts. It examines the dominant assessment approaches, their effectiveness, and their impact on EFL learners' writing skills holistically. The study employs a meta-synthesis approach. Fifty journal articles indexed by Scopus, ERIC, Crossref, Google Scholar, DOAJ, Copernicus, and other indexing databases between 2018 and 2024 were selected as the data to review in this study. The data selection was conducted to ensure the relevance and quality of the literature reviewed. The results include a variety of assessment practices such as teacher feedback, self-assessment, peer-assessment, blended or collaborative assessment, automated writing evaluation (AWE), and artificial intelligence in EFL writing settings. The study also concludes that, despite the diversity and complexity of writing assessments in EFL contexts, there is a strong need for more standardized and contextually valid assessment practices. Effective assessments align with instructional goals and offer meaningful feedback that supports student learning. The study recommends developing comprehensive assessment frameworks tailored to specific EFL contexts, providing more training for educators in assessment literacy, and conducting further research into the long-term impact of various assessment practices on the writing development of EFL learners.

Given the unquestionable significance of academic discourse in knowledge sharing, the present study investigates research articles published in high-ranked journals in two disciplines of Applied Linguistics and Medical Sciences. Considering the fact that abstract sections in a research article are factual representations of the details of the paper, they are of great importance. Moreover, academic writers attempt to publish more valued and engaging articles using numerous writing norms, a well-known way of which is Nominalization. The study follows genre analysis design and includes a corpus of 30 research articles in Applied Linguistics and 30 articles in medical sciences, half by natives and half by non-natives published between 2015 and 2024. Meticulous analysis and article-to-article comparison indicated higher frequency of verbal nominalization in all sets of articles and no statistically significant difference between native and non-native academic writers in both fields. However, there was a considerable difference between the deployment of nominalization between the academic writers in applied linguistics and medical sciences, the former outperforming the latter group. It is believed that the results of this study will help English for Specific- and for Academic Purposes practitioners in the inclusion of more writing instruction practices in their curriculum.

Many researchers have explored the speech act of refusals across various genres, languages, and contexts. However, little is known about how refusals are conveyed in academic job applications by Asia-Pacific and European institutions. To address this gap, the current cross-cultural study analyzed a corpus of naturally occurring academic job rejection emails from different universities. Using Beebe et al.’s (1990) taxonomy of refusals, a total of 85 rejection letters was collected and examined. The results revealed that while both Asia-Pacific and European universities employed similar refusal strategies, the frequency differed significantly: European universities used 219 refusal strategies, compared to only 60 by Asia-Pacific institutions. Both regions primarily relied on “indirect” refusal strategies and “adjuncts” to protect the applicant’s face. Interestingly, “direct” refusal strategies, which are more face-threatening, were notably more common in European universities’ responses. The study concludes with insights and recommendations for making the academic job application process more considerate for both applicants and institutions.

Artificial intelligence (AI) is changing language education through personalized and interactive practice. However, its impact on language achievement and emotional aspects of learning is unclear. Therefore, this mixed-methods study investigated the effects of Chatbot-Assisted Language Learning (CHALL) on learners’ English language achievement and sense of metavolvement—the deepest level of metacognitive engagement. In phase 1, the Sense of Metavolvement Scale (SOMS) was developed and validated. In phase 2, following a quasi-experimental design, 44 intermediate Iranian EFL learners were divided into an experimental group (n=22, using the AI chatbot Pi) and a control group (n=22, receiving conventional classroom instruction). Both groups had pre- and post-tests for language achievement and metavolvement, and the experimental group sat for semi-structured interviews post-intervention. There were significant gains in the experimental group’s in-class metavolvement and language achievement. There were also significant differences between the two groups in post-test metavolvement, while there was no significant difference in their post-test language achievement. Furthermore, interview data illustrated CHALL as a low-anxiety practice context with cultural and pragmatic limitations. Therefore, CHALL can complement but not replace conventional instruction.

Although researchers have used practical procedures for developing professional teacher education, such as reflective practice and action research, the role of learning-oriented assessment (LOA) in building an active learner-centered pre-service teacher education has received scarce scholarly attention. Hence, the purpose of this study is to explore how collective and reflective LOA can enhance EFL pre-service teachers’ learner-centered teacher education. For this purpose, 15 Iranian EFL pre-service teachers were selected through a convenience sampling procedure from a teacher-training college in Iran. The study was built on a qualitative intrinsic case study, the data were collected from the participants through observations, self- and peer-assessment practices, portfolios, and semi-structured interviews, and the collected data were inductively analyzed. The results of the inductive thematic analysis indicated that pre-service teachers became active, cooperative, and flexible. Firstly, pre-service teachers concentrated on reflective self-assessment, collaborative peer-assessment, and portfolios. Secondly, pre-service teachers were more self-directed and autonomous by taking more actions, planning their development, making decisions, and learning. Thirdly, pre-service teachers accelerated their positive emotions, such as growth mindset, flexibility, curiosity, and criticality. The findings promise implications for implementing learning–oriented assessment to promote teachers’ agency and autonomy in their teaching careers.

Human beings employ different forms of linguistic politeness to ease communication and reduce the likelihood of conflict. With the rise of technology and social media platforms such as Email, Telegram, Twitter, WhatsApp, and Instagram, the concept of politeness has faced new challenges. The present study focused on Instagram comments and analyzed politeness strategies based on Leech’s grand strategy of politeness. The study examined a 20043-word corpus developed based on 696 posts across various topics on Instagram. The results revealed that Instagram users predominantly utilized negative politeness strategies (63.3%). Among the positive strategies, agreement constraints were the most frequently employed (32.7%), while tact constraint violations (32.1%) were the most common within negative strategies. The study utilized repeated measures of ANOVA and Tukey post hoc analysis via SPSS to examine differences among various constraints and their violations. Significant differences were found among most constraints, except for tact and modesty, generosity, and feeling reticence. In terms of constraint violations, no significant differences were observed between approbation and obligation of the speaker to others constraint violation, between agreement constraint violation and generosity constraint violation, between agreement and obligation of others to a speaker constraint violation, between agreement constraint violation and opinion reticence constraint violation, between sympathy and modesty constraint violation, between sympathy and feeling reticence constraint violation. The findings underscore the importance of analyzing language in specific media, providing insights into politeness and impoliteness in a specific medium. The results can enhance students' pragmatic skills and improve their online communication, prompting materials developers to consider such pragmatic dimensions.

Dynamic assessment (DA) is an innovative way of assessing students’ knowledge. Given the importance of knowing how to reduce writing apprehension and improve writing self-efficacy in language learning, this study investigated the effects of models of DA including Buddoff’s Learning Potential Measurement Approach (LPMA), Carlson and Wiedl’s Testing-the-Limits Approach (TLA), and Intensive Mediated Learning Experience (IMLE) on L2 writing apprehension and self-efficacy. The participants were 302 students in four groups. All groups were given the writing apprehension and writing self-efficacy questionnaires as pretests, followed by 20 sessions of treatment. The same questionnaires were given in the last session as posttests. The collected data were analyzed using one-way Analysis of Covariance. The results showed a significant difference among the four groups’ writing apprehension and writing self-efficacy mean scores on the posttests. The findings also revealed that the IMLE group outperformed the other two groups. Based on the results, it was concluded that employing DA models can be conducive to reducing writing apprehension and improving writing self-efficacy among EFL learners. The findings of the present study can have useful implications for teachers, students, material designers, and language assessors.

This research explores the verbs used in aphasic spoken data by using Hallidayan systemic functional linguistic framework and compares them with the type of verbs used by healthy subjects. Persian aphasia test was used to recruit eight right-handed aphasic patients (mean age of 57.5 years) based on convenient sampling, and there was also another control group of six healthy participants (mean age of 52.2±2.04 years). They were interviewed orally and the process types in each group were determined and compared. These processes were compared to each other by using descriptive statistics characteristics such as the mean and standard deviations of the processes. In order to study descriptive results more precisely, statistical inference was used and ‘test for comparing two binominal populations’ was implemented to analyze differences of the process proportions between two groups. Results showed that aphasics significantly used more material processes than normal individuals (p=0.021); on the other hand, aphasics significantly used less relational (p=0.012) and behavioral (p=0.018) processes than normal individuals. There could be seen no significant differences for the use of mental, verbal, and existential processes between the two groups (p>0.05). Relying more on some processes and less on some others in aphasics implies the linguistic areas where they have more problems with and suggests where they base their speech in the process of recovering linguistic abilities. These findings has implications for both linguists and language pathologists.