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Research on relative clause (RC) ambiguity resolution in first and second-language contexts has produced conflicting results, with some studies indicating a preference for high attachment, others favoring low attachment, and some reporting no clear preference. In conjunction with other variables, these mixed results may be due to variations in the methodological features employed across studies. Therefore, there is a pressing need for a systematic review of the methodological features of relevant offline tasks to evaluate how these differences may lead to conflicting results critically. To address this issue, a systematic methodological review was conducted analyzing 108 features of offline tasks, including identification, context, materials, design, administration, data analysis, open science practices, and transparency. The results revealed significant methodological variation in the literature and a moderate mean transparency score of 59.77. These findings emphasize the need for methodological standardization and greater transparency in future research to ensure reliable and comparable RC ambiguity resolution research results.

Although pair work interaction gained substantial attention in recent decades, little is known about the best method to enhance its effectiveness. This study investigated the impact of peer modelling demonstration of collaborative writing tasks as a pedagogical intervention on Language-Related Episodes (LREs) and pair dynamics. Using a one-group pretest-posttest design with a delayed posttest, twenty intermediate learners were randomly paired up to complete three tasks (information-gap, story reconstruction, and jigsaw), which also involved a paragraph-level writing over a three-week period. Each session, the participants were required to work on one task while recording their voices. In the second session of the study, the pairs were provided with the peer modelling video to explore its contribution to their performances. The pairs' audio-recorded performances (about 15 hours) were carefully transcribed and later analyzed for a) the frequency, types, and resolution of LREs and b) pair dynamics. Results of Negative Binomial Regression revealed that peer modelling had a significant positive effect on pair performance, in a way that, after the provision of peer modelling, the pairs produced a significantly greater number of LREs and correctly resolved the majority of the conflicts. Additionally, analysis of McNemar's test revealed that the pairs demonstrated more collaborative pair dynamics subsequent to peer modelling. The findings are pedagogically important as they support peer modelling as a valuable pedagogical technique to be integrated into language learning classes to ensure L2 development and foster qualities of pair work.

riting assessment literacy (WAL) for second or foreign language (L2) teachers, which refers to teachers’ knowledge, conceptions, and practice of writing assessment in L2 contexts, has lately received attention from scholars. Although there has been significant debate about the impact of contextual and conceptual factors on teachers’ assessment literacy, studies focusing on how such factors influence teachers’ WAL are lacking. The purpose of this qualitative study was to explore the way Iranian English writing teachers' conception of assessment, and macro, meso, and micro contextual variables, impact their writing assessment practice. It also looked at how writing teachers make assessment decisions in order to negotiate and find a compromise when their assessment views and beliefs diverge from the assessment policies in their local contexts. The data were collected through semi-structured interviews with ten in-service L2 writing teachers in Iran. The findings show that participants had positive conceptions about formative writing assessments, but they stated that they mostly used summative assessments in writing classes. Macro-level contextual factors turned out to mostly impact teachers’ writing assessment practices and conceptions. The results underscored the role of school and work experience in shaping and changing writing assessment conceptions. The findings of this study contribute to our current understanding of WAL development and the provision of more efficient assessment training for language teachers in teacher education programs.

English Medium Instruction (EMI) is increasingly adopted in higher education worldwide, yet its application in music education within non-English-speaking contexts remains underexplored. The application of EMI plays a crucial role in improving learners' English skills and subject matter, which can also affect learners' achievement. The most important predictor of learners' performance and success is self-efficacy, which is also a relevant concept in the area of music performance. This Review investigates the role of self-efficacy in shaping music students' academic achievement in EMI settings, where language and performance intersect. The study aims to identify how learners' self-efficacy in their musical and linguistic abilities influences their success and motivation. It contributes to EMI literature by highlighting self-efficacy as a mediating factor between language proficiency and academic performance in music education. The findings offer practical implications for curriculum design, instructional strategies, and learner support. Specifically, the study emphasizes the need to integrate self-efficacy-building practices—such as performance feedback, peer collaboration, and goal-setting—into EMI-based music instruction to enhance both linguistic and artistic development.

This study examined the personal, professional, and contextual barriers to teacher identity (TI) within English language institutes and their strategies to navigate them. The study used a multiple case study approach with semi-structured interviews for data collection. It involved four Iranian English institute teachers aged 22 to 30, with varying degrees of education: two holding a B.A., one an M.A., and one a Ph.D. Data analysis utilizing thematic analysis revealed that insecurity, self-doubt, perfectionism, and challenges in balancing personal and professional lives were personal barriers to TI. Moreover, professional barriers such as excessive workloads, strict adherence to academic norms, and stress from peers and superiors could hinder TI development. Furthermore, contextual barriers, including hierarchical cultures, top-down decision-making, and rigid institutional policies, could restrict TI development. The findings also revealed some patterns among these barriers. The results showed that contextual barriers exacerbate professional barriers. Moreover, professional barriers exacerbate personal barriers. Teachers often try to navigate barriers by seeking feedback, engaging in professional development, advocating for their needs, holding meetings, using dead times, focusing on strengths rather than weaknesses, accepting faults and shortcomings, promoting shared leadership, prioritizing self-care and work-life balance, expanding knowledge through reading more, setting realistic goals, recommending solutions, being more flexible, involving and engaging students, motivating students, taking assessment as learning perspective, etc. The study's findings have implications for teachers, teacher training programs, and educational policy.

English Language Teacher Education (ELTE) programs in Iran have been designed in a distinctive bilingual environment where private language institutes offer influential training foundations for most English as a Foreign Language (EFL) teachers. This study examines the structure and content of teacher preparation programs in four prominent Iranian language institutes to identify the core components of their training courses. To gather data, semi-structured and focus-group interviews were conducted with two novice teachers and two teacher educators from each institute, selected through purposive sampling. Thematic analysis of the data revealed that training programs emphasized seven key themes: Teaching Methods, Flexibility, Practical teaching, Reflection, Native language use, Culture, and Technology. These findings can offer English language teachers valuable insights into their future roles and provide policymakers with rich data to evaluate existing programs and make necessary modifications in areas that require improvement. Potentially bridging the gap between theoretical training and practical classroom demands.

Because of their objective measurement and unambiguous correspondences, syntactic parameters are used as comparanda for deep comparison and relatedness of language varieties. The Parametric Comparison Method (Longobardi & Guardiano, 2009) is based on the hypothesis that syntactic parameters are appropriate traits to use as comparanda for contrastive analysis and distance measurement of language pairs and then to provide language taxonomy. This article addresses the syntactic distance and genealogical taxonomy of language varieties that are closely related genealogically, geographically, and culturally. To analyze relatedness and genealogical issues of Kurdish language varieties and the Persian language, abstract grammatical rules, modeled as syntactic parameters which are applied in the domain of determiner phrase (DP), are used as comparanda. The results show that Laki and Lori are at a close distance from Sorani, and on the other hand, Kurmanji and Kɪrdki are also close syntactically. According to the tree achieved from the syntactic distances, Kurmanji is at one end of the spectrum and Persian is at the other end. Thus, it can be concluded that some preliminary deductions regarding the phylogenetic taxonomy of the Iranian languages and dialects, with a focus on Kurdish language varieties and other related dialects, can be proposed.

The importance of teachers in promoting reading comprehension skills among learners is crucial in the field of English as a Foreign Language (EFL) education. This study aims to explore how teachers utilize social, discursive, and textual methods to enhance the development of reading comprehension skills in EFL learners. A total of 160 translation-majoring learners enrolled in a Reading Comprehension Course at Applied Scientific University (Rad) in Tehran were purposefully selected and divided into three experimental groups and one control group. The experimental groups received instruction based on Critical Discourse Analysis (CDA), which included social, discursive, and textual strategies to enhance their reading comprehension skills in the EFL classroom. To evaluate the effectiveness of the CDA-based instruction, pre- and post-tests on reading comprehension were conducted using a quasi-experimental design. The data obtained from these tests were analyzed using a one-way analysis of covariance (one-way ANCOVA). The results showed a significant improvement in reading comprehension among learners who were exposed to the CDA-based treatments, highlighting its essential role in promoting critical interaction with texts and enhancing overall language proficiency, while no significant improvement was observed in the control group. Additionally, social practice was found to be more effective than discursive and textual practices; however, no significant differences were observed between discursive and textual practices. The findings have implications for EFL teachers, learners, and curriculum planners, which can ultimately help make reading comprehension easier in EFL contexts.

The present study aimed to find the effect of artificial intelligence (AI)-mediated speaking assessment on speaking performance and willingness to communicate (WTC) of Iraqi EFL Learners. More specifically, the study sought to find whether AI-mediated speaking assessment enhance the speaking performance (grammar, vocabulary, pronunciation, intonation, and fluency) of Intermediate Iraqi EFL learners and whether AI-mediated speaking assessment enhanced their WTC in English. In so doing, 40 intermediate Iraqi EFL learners were randomly selected and assigned into experimental and control groups, each comprising 20 learners. The experimental group participants received ten 60-minute treatment sessions with ELSA Speech Analyzer, while the control group received no treatment. The speaking pre-test of both groups was run prior to the treatment, and all participants were post-tested at the end of the study. The Willingness to Communicate in a Foreign-Language Scale was also administered to groups prior to and after the treatment. A speaking assessment rubric, including vocabulary, grammar, intonation, pronunciation, and fluency, was used to assess the speaking performance of both groups. The findings demonstrated that AI-mediated speaking assessment enhanced the grammar, vocabulary, intonation, and fluency of the experimental group. However, the two groups did not differ in terms of pronunciation. Furthermore, this assessment tool enhanced the willingness to communicate with native speakers, the willingness to communicate with non-native speakers, and the willingness to communicate in the school context of this group. In general, the speaking assessment mediated by AI significantly enhanced the speaking performance and WTC of the learners. These findings might advance the current scholarly discourse on AI within the domains of language pedagogy and assessment.

The use of portfolios as a tool for assessment in educational settings has attracted significant attention in recent years due to its potential to capture multifaceted aspects of student learning. This study investigates students' perceptions of portfolios as an assessment tool, examining their experiences, attitudes, and beliefs towards its effectiveness in assessing their learning progress and achievements. Additionally, the study explores the influence of factors such as prior exposure to portfolio assessment, instructional support, and personal learning styles on students' perceptions. The research examined students’ responses to portfolio-based assessments over three academic years, from 2020 to 2023. The respondents were third-year elementary education students enrolled in the Faculty of Education at the public University of Gjakova, Kosovo, where the research was conducted. Additionally, the study incorporated a focus group consisting of five English language teachers to examine both the advantages and disadvantages of portfolio assessment, as well as the challenges associated with evaluating students through this method. A qualitative research approach was employed, utilizing qualitative analysis for the questionnaire responses and a descriptive approach for the data collected from teachers. The analysis of student outcomes yields several insights into portfolio-based assessment. The findings suggest that this assessment method enables a more convenient preparation process, as students have ample time, a supportive environment—such as their homes—and the flexibility to engage in learning according to their unique preferences and styles. According to teachers, the portfolio is perceived as straightforward in its appearance, yet it presents significant complexities in terms of implementation and assessment. The integration of portfolio assessment in curriculum design and the provision of structured guidelines and support could be underlined as practical implications and recommendations to enhance the effectiveness of assessment-based portfolios in educational settings.

Lexical bundles, starting with the anticipatory it, mostly serve as stance expressions (e.g., it is necessary to ). While most research centers on anticipatory, it-bundles in one single discipline, not much has been done across different disciplinary areas. Therefore, based on an adaptation of the functional taxonomy proposed by Hewings and Hewings (2002), this research attempted to detect it-bundles using a corpus of 400 research papers in L1-English and L1-Persian in applied linguistics (AL) and information technology (IT) to probe the possible significant resemblances and disparities. According to the results, IT writers employed fewer bundles than their AL counterparts, and their overuse was more impressive than that of their L1-English peers in AL. However, AL and IT writers showed similarity in their use of functional categories; AL writers also made heavier use of two functional categories: emphatic and epistemic. As for practice, writing instructors can exploit the findings of this study to facilitate academic writing instruction. They can also help students to achieve a better comprehension of anticipatory it-bundles .

The integration of AI in educational contexts has been a heated debate among scholars. Despite the important role of Artificial Intelligence (AI) in foreign language education, exploring English as a foreign language (EFL) teachers’ voices regarding their motivation to use AI in foreign language education has received scant attention. Therefore, this study explores the motivational factors influencing the adoption of AI in foreign language teaching through the lens of self-determination theory (SDT). Qualitative data were collected through semi-structured interviews from six EFL teachers in the context of Saudi Arabia. The study identified several key sub-themes within the broader motivational factors of relatedness, autonomy, and competence from the SDT framework. Regarding competence, participants emphasized the role of AI in enhancing their ability to deliver personalized instruction and manage their classrooms more efficiently. For relatedness, the sub-theme of mutual support and community building emerged as crucial, highlighting the importance of collaboration between teachers and students in AI adoption. In the context of autonomy, self-initiated professional development was prominent, reflecting teachers’ active efforts to stay updated on AI technologies. Teachers felt that mastering AI tools not only improved their competence but also enabled them to adapt AI-based solutions to meet students' individual needs. However, they also noted the challenge of ensuring that AI tools complement rather than replace critical pedagogical skills, highlighting the need to maintain a balance between using AI for efficiency and preserving essential human elements like creativity and critical thinking.

The present study explored the effectiveness of Google Docs as a cloud-based technology in enhancing the complexity, accuracy, and fluency (CAF) facets of writing competence. Forty-nine Iranian EFL learners, majoring in English, from two intact classes participated in the study. The classes were randomly assigned to the Google Docs (GD) group and the Conventional Teaching group (CT) after their proficiency levels were identified. The GD group (n=25) used the Google Docs writing instruction platform, while the CT group (n=24) received traditional writing instruction. Furthermore, ten students from the Google Docs group participated in semi-structured interviews to express their perceptions of the treatment they received. A mixed-methods design, incorporating Multiple Analysis of Covariance (MANCOVA) and theme-based analysis, was employed to assess quantitative and qualitative outcomes. The findings indicated that the GD group demonstrated a significantly improved ability in CAF writing compared to the CT group. The interviews revealed several important themes, including the positive experiences associated with collaborative writing through Google Docs, the convenience and flexibility of real-time collaboration, and the effectiveness of peer support in enhancing writing competence. Additionally, the teacher’s role as a facilitator was found to be crucial. Overall, the results suggested that the interactive attribute of Google Docs, combined with peer correction and editing, noticeably supports more sophisticated and accurate writing skills.