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This meta-analysis provides a comprehensive evaluation of research studies on computerized dynamic assessment (C-DA) in English language teaching and learning, addressing the need for a systematic overview in light of recent technological advancements. A systematic search across three databases (ERIC, Web of Science, and Scopus) initially identified 2807 articles, with 22 C-DA studies meeting the inclusion criteria after screening. Findings reveal that C-DA significantly enhances language learning outcomes, particularly in reading and listening and writing skills, with large effect sizes reported across multiple studies. Interventionist approaches and quasi-experimental designs were most commonly used, reinforcing the strong impact of mediation on bridging learners' actual and potential performance. While C-DA demonstrated substantial improvements in skill-based outcomes, its effects on affective factors like anxiety and intrinsic motivation were more modest. These findings highlight C-DA’s potential as a transformative tool in language assessment and instruction, particularly when mediation is tailored to learners' needs. However, integrating C-DA with complementary strategies may be necessary to address psychological and motivational factors. 

Writing in a second language (L2) presents significant challenges due to the existing cognitive and social intricacies. Furthermore, psychological factors such as motivation are possibly closely linked to L2 writing success. The writing motivation in an L2 is affected by different factors that interact to influence students' experiences and results. Among such factors, writing self-efficacy and enjoyment are essential elements that greatly affect L2 students' motivation. This study attempts to inspect the connections among writing, enjoyment, self-efficacy, and motivation. This study offers a thorough understanding of how such variables interrelate and affect one another. Gaining insight into the predictive force of writing enjoyment and self-efficacy provides valuable knowledge for teachers and scholars in developing interventions and strategies aimed at boosting writing motivation among L2 students. Two hundred and thirteen students from English Language Preparatory schools of two universities in Turkey took part and the three questionnaires, namely writing motivation, self-efficacy, and enjoyment were administered to the participants. The data was analyzed through Structural Equation Modeling (SEM). The results indicated that there is a strong correlation between motivation and enjoyment, while the correlations between enjoyment and self-efficacy, as well as motivation and self-efficacy, were moderate. The result through SEM revealed that two predictors (writing enjoyment and writing self-efficacy) together explain 35.6% of the variance in writing motivation. The results suggest a moderate degree of predictability, indicating that such variables play a significant role in explaining reasons for people’s motivation to write. These results provided important knowledge for language stakeholders.

Students’ engagement in classroom activities has been at the center of attention these days that affect learners’ success, mental health and alternatively, their disengagement impacts their achievement and may also affect their future professional well-being. Motivation is another important contributor to success in education, which is also in line with engagement. Likewise, demotivation has been a concentration point of instructional research; yet, it has not obtained much concentration in the realm of language acquisition. Indeed, English as Foreign Language (EFL) learners’ demotivation has an essential role in hindering their learning in the English language learning classroom. The level of these two concepts, namely disengagement and demotivation is influenced by different factors in students and as far as EFL teaching is concerned, one of these factors is school climate which is deemed as a predictor of academic success. Indeed, the learning climate has been attracting the attention of researchers for decades given that this construct improves or prevents student achievement and poor mental health. Nevertheless, its contribution to mitigating learners’ demotivation and disengagement has not been scrutinized yet. Accordingly, this review presents the power of the learning climate where EFL students are learning a language and its role in students’ demotivation and disengagement. Subsequently, this is followed by giving some implications for EFL teachers, school authorities, and researchers.

Critical discourse analysis was developed by three outstanding linguists such as Fariclough, Van Dijk and Wodak, who offered rather similar approaches towards discourse analysis. Their common point is that CDA should take a critical orientation to discourse and investigate the aspects of ideology and power hidden in the discourse. The salient purpose of CDA which differs from other related approaches is that it tends to explore the implicit underlined ideological and power patterns in the written and spoken discourses. As a whole, CDA tends to uncover the implicit ideological prejudice in the discourse which brings about a dominance, hegemony, inequality and racism, and discrimination. These scholars basically give an ideological perspective to their approaches by the inspiration from Halliday's systematic functional linguistics. Halliday's systematic functional linguistics (SFL) is one of influential frameworks which has been extensively applied for the textual analysis of a number of domains such as critical discourse analysis. This study intends to discover how it is possible to find out the ideological dimension of discourse by exploring the linguistic elements particularly the transitive verbs. It is hoped that it provides insightful guidelines for the CDA researchers to analyze a discourse with its ideological perspective. It concludes that the transitive verbs are most significant in transferring the ideological attitude of writer or speaker. These types of verbs are deliberately used within a textual discourse in which each textual element is interrelated to each other and has an influential impact of the signification of these verbs.

Self-regulation is crucial in foreign language acquisition, requiring learners to set clear goals, choose effective strategies, and manage their learning. However, many face challenges in applying these strategies, indicating a need for educator support. This study examined the impact of Self-Regulated Learning (SRL) strategies on word knowledge and speaking competence among Iranian EFL learners. Data was collected from 200 pre-intermediate and intermediate students using the Vocabulary Levels Test (VLT), Self-Regulating Strategy in Vocabulary Learning Scale (SRCvoc), and Key English Test (KET), along with semi-structured interviews with 30 learners in Urmia, Iran. Analysis included descriptive statistics, multiple regression, ANOVA, and thematic analysis. Results showed that learners utilized SRL strategies for vocabulary learning above average, with specific subscales positively affecting acquisition. Commitment control emerged as the most significant factor influencing speaking proficiency, explaining 58.6% of the variance, while satiation control had minimal impact at 15.8%. Challenges in time management, motivation, and anxiety were also identified. The research advocates for targeted interventions to enhance commitment and motivation, contributing valuable insights for educators to improve learning outcomes through tailored instructional strategies that integrate self-regulation training into language curricula.

The diversity between a source language and a target language and the variation in their cultures make the task of finding equivalents a serious challenge. Expressive texts are among the most difficult text-types to be translated. Being deeply rooted in the culture of a nation, classical literary texts are seldom devoid of culture-specific concepts or cultural references (CRs). Sa‘di’s (1208-1291) Gulistan is a prominent masterpiece of classical Persian literature that abounds with CRs. It is translated by many translators. Anderson (1861) and Rosenbaum (2010) are among the earliest and the most recent translators of the Persian masterpiece, respectively. The paper aimed at identifying categories of CRs in translations, determining translators’ most and least frequent procedures and specifying the most challenging categories of CRs for each of them. The study aims at identifying various categories of the CRs in the Gulistan and the procedures employed by the two translators in rendering them. In order to specify the procedures, Davies’s (2003) model and Huber and Kairys’s (2021) taxonomy were used. The findings revealed that ‘substitution’, ‘literal translation’ and ‘generalization’ were averagely the most frequent procedures. Moreover, it was found that the terms belonging to the categories of ‘religion’, ‘garments’ and ‘social life’ were the most challenging concepts for the English translators.

Pronunciation remains a persistent challenge for English as a foreign language (EFL) learners. This is particularly important in contexts where segmental/suprasegmental features differ from those of learners’ first language. Translanguaging is widely recognized as a beneficial pedagogical approach in language education. It is defined as learners’ strategic use of their full linguistic repertoire, including first and additional languages, to support meaning-making and learning. However, its application to pronunciation instruction has received limited empirical attention. This quasi-experimental mixed-methods study examined the effectiveness of translanguaging-based instruction in developing Iranian EFL learners’ segmental/suprasegmental pronunciation features and explored participants’ perceptions of this approach. Twenty upper-intermediate Iranian EFL students were assigned to the experimental and control groups. Over 27 instructional sessions, the experimental group received translanguaging-based pronunciation instruction, while the control group followed a communicative English-only approach. Data were collected through pretest–posttest pronunciation tasks, acoustic analysis using Praat, and semi-structured interviews, and they were analyzed using non-parametric statistical tests and thematic analysis. The quantitative results revealed significant improvements in several suprasegmental features, including linking, epenthesis, deletion, sentence stress, and word stress, whereas gains in segmental features were limited. Acoustic analysis indicated significant changes in F2 onset frequencies for the diphthongs /oʊ/ and /eɪ/. Qualitative findings showed that students perceived translanguaging as enhancing comprehension and reducing anxiety. They also reported it created a more supportive learning environment and varied in effectiveness across pronunciation features. Findings suggest translanguaging is particularly effective for suprasegmental pronunciation development and offers pedagogical value for creating a learner-centered EFL pronunciation instruction.

While a growing body of research testifies to the benefits of asynchronous computer-mediated communication (ACMC) for foreign language learning, its contributions within the field of interlanguage pragmatics (ILP) have remained underexplored. To address this gap, the present study aimed to unveil the impact of mobile-assisted (text vs. voice messaging) ACMC on Iranian English as a foreign language (EFL) learners' pragmatic learning of apologies and requests. Utilizing a mixed method, pretest-posttest design, data from sixty intermediate Iranian EFL learners studying English at Shokouh Language Institute in Babolsar, Mazandaran were obtained based on the results of an Oxford Placement Test (OPT). The participants were assigned into two experimental groups (text-messaging, N = 20; voice-messaging, N = 20) and one control group (N = 20). A Written Discourse Completion Test (WDCT) and semi-structured interviews were used for data collection. The pretest and posttest analysis revealed the experimental groups’ significant gains through both text and voice messaging, with only a negligible difference between their effectiveness. The qualitative findings led to the detection of three significant themes a posteriori, namely flexibility and convenience, lower pressure, and promotion of collaborative learning and emotional engagement. The findings suggest that by incorporating multiple modes of interaction, mobile-assisted ACMC grants learners a variety of technological affordances to enrich their pragmatic learning.

In the domain of Persian literature, the Holy Qur’an has consistently played an influential subtextual role in shaping the formal and semantic aesthetics of literary works. The present study, aiming to analyze intertextual relations, investigates Saleh Hosseini’s utilization of Quranic terms and concepts in his translations of English literary works. To this end, based on Kristeva’s (1966) theory of intertextuality and Genette’s (1982) taxonomy, selected examples from seven translated works were analyzed. Following the examination and analysis of the data, a comprehensive interview with the translator was conducted to triangulate the findings. The results indicate that the translator employed two main strategies—explicit intertextuality (direct use of Quranic terms and verses) and paratextuality (using footnotes and appendices)—to create complex references in translations. This approach, while maintaining fidelity to the source semantic networks, reconstructed the text within the cultural context of the target language, providing a multilayered and polyvocal experience for the target readers. In light of the analysis of the collected textual data and the translator’s responses in the interview, it can be concluded that literary translation, far beyond the mere transfer of words, is a creative, interpretive, and intertextual process that facilitates deep cultural and discursive interaction among various texts.

The present study aims to investigate users’ responses to linguistic diversity on Persian-language social media, particularly Instagram, based on Lippi-Green’s theoretical framework of language subordination. The study employs a mixed-methods design. In the qualitative phase, the data were analyzed using the language subordination framework, which comprises seven core components: Mystification, authority, misinformation, trivialization, accommodators and non-accommodators, threat, and promise. In the quantitative phase, the frequency and proportional distribution of these components were calculated across more than 400 user comments posted on widely followed Persian-language Instagram pages between 2023 and 2026. The findings indicate that the components of misinformation and trivialization occurred most frequently and that social media platforms, contrary to common assumptions, serve as significant sites for reproducing the ideology of the standard language and marginalizing non-standard varieties. Furthermore, the results show that users’ linguistic judgments are largely influenced by entrenched monolingual standard ideologies that, consciously or unconsciously, construct the so-called Persian standard as superior while other language varieties as inferior.

Although peer-assisted collaborative writing has been examined extensively, the development of artificial intelligence (AI) highlights the importance of investigating how AI might affect the way students write and perceive writing. Drawing on the sociocultural theory, the present mixed-methods study examined learners’ integration of AI in their writing process. The participants included 40 TEFL students, randomly assigned to either the peer-assisted collaborative writing or AI-assisted collaborative writing groups. In the first phase of the study, a pretest and a posttest were administered to both groups. They were analyzed in terms of different measures of complexity, accuracy, and fluency features (CAF). A series of paired and independent t-tests was used to compare the two groups in each measure. Although there was no difference between the groups in terms of complexity and fluency, learners in the peer-assisted group outperformed those in the AI-assisted group in terms of accuracy measures. In the second phase of the study, the participants in both groups filled in an open-ended questionnaire on their attitudes toward their writing experiences. It was found that learners in the peer-scaffolded group were more satisfied with their writing and experienced less boredom during writing.