درخت حوزه‌های تخصصی

In light of ongoing challenges in writing education and the needs of digital-native learners, this study explored the effectiveness of using the free version of Grammarly in the writing development of EFL learners. Thirty-three TEFL students at Shahid Rajaee University were randomly selected and participated in the study. Using a quantitative one-group design, their writing performance was assessed through six tasks and analyzed via one-way Repeated Measures MANOVA. The results indicated a consistent improvement in overall writing performance through the regular use of Grammarly as an automatic corrective feedback tool. To identify which writing components improved, an RM-MANOVA was conducted on grammar, spelling, punctuation, and clarity. The analysis showed significant improvement only in grammatical accuracy, with other aspects remaining unchanged. These findings highlight Grammarly’s potential in enhancing grammatical skills. The study contributes to ELT by encouraging the integration of ICT-related content into the EFL curriculum and teacher training programs, emphasizing the role of AI tools in language learning. These findings highlight the increasing impact of AI-powered tools in improving writing skills for language learners. Educators should balance automated feedback with personalized instruction. As research on effectiveness of Grammarly is still limited, further studies are necessary to fully understand its educational potential.

The representation of future pre-configuration through policy-making processes has been an in-vogue area of study in the field of discourse analysis. Equally important is the reconstruction of future pre-configuration in the institutional translations of political text and talk. The objective of this study is to investigate the conceptualization of futurity in the preemptive policy-making in the speeches of the Iranian Supreme Leader and their English institutional translations. The data for the present study comes from 20 speeches of the Iranian Supreme Leader and their translations, spanning from 2015-2020, issued by the Office of the Supreme Leader. We employed semantic-syntactic analytical tools such as mood, modality, and aspect to study the conceptualization of futurity in the policy discourse. In conclusion, the findings of the study indicate that these reconstruction of futurity in the preemptive policy-making process in the English institutional translations are to a greater extent similar to the semantic-syntactic properties of the original texts. However, modalization and mood transformation are instances of differences between original and translated versions of texts. Besides, we argued that any instance of the occurrence of similarity or differences stems from on-line dialectic relationships between micro-pragmatic and macro-pragmatic factors

This study examines the effectiveness of long-term formant frequency distributions (LTFDs), Mel-frequency cepstral coefficients (MFCCs), and their combined application in distinguishing Kurdish-Persian bilingual speakers. Speech samples were collected from 20 early male bilingual speakers who read the fable ' The North Wind and the Sun ' in Kurdish (Sorani dialect) and Persian. The Random Forest algorithm was employed to analyze the data. Feature importance for formant frequencies and MFCCs was evaluated using the mean decrease in accuracy metric. The results indicated that LTFD measures provided moderate accuracy in speaker differentiation, reflecting their capacity to capture vowel-related articulatory patterns. In contrast, MFCCs demonstrated superior performance, effectively encoding spectral and speaker-specific characteristics. When LTFDs and MFCCs were combined, system accuracy was slightly improved compared to using MFCCs alone. This marginal enhancement underscores the potential benefits of integrating LTFDs with MFCCs in forensic voice comparison, where even small gains can have significant practical implications. The findings contribute to a deeper understanding of bilingual speaker variability and provide insights for optimizing speaker identification systems in bilingual contexts.

One effective method for improving EFL learners' foreign language communication skills is to learn L2 words and use them in speaking. For this reason, researchers aim to assist learners in acquiring vocabulary to the greatest extent possible. The present study investigated the impact of EFL teacher code-switching (CS) and English-only (EO) instructions on vocabulary acquisition in EFL learners aged 10 to 13. Fifty-six early adolescent learners participated in storytelling activities under the CS or EO conditions. The key difference between the two was that, in the CS group, the teacher used the learners' L1 for teaching vocabulary. In contrast, instruction was conducted solely in English in the EO condition. Results indicated that switching to learners' L1 enhanced vocabulary acquisition more effectively than English-only instruction, and this effect persisted in a delayed post-test two weeks later. Therefore, it can be concluded that teaching new vocabulary via teacher’s resorting to the learners’ L1 through storytelling activities brought about significant gains in remembering the target words in CS condition; hence, for more effective mastery of the new vocabulary among early adolescent learners, it is suggested to present the words in learners’ first language instead of presenting them in lengthy English explanations. The study has practical implications not only for early adolescent EFL learners’ classrooms but also for other learners of different age groups to maximize their vocabulary learning and performance through teachers’ justified amount of L1 use.

This study investigates the integration of post-humanist pedagogies in e-learning for English language teaching (ELT) through the perspectives of Indonesian doctoral students. Post-humanist principles, emphasizing interconnectedness and collaboration, are explored within digital language education contexts. Conducted at Universitas Negeri Malang, the study employed a sequential mixed-methods approach involving 28 participants. Data collection included closed-ended questionnaires and semi-structured interviews, focusing on three key dimensions: relationality, agency and autonomy, and multiplicity and diversity. Findings underscored the preference for collaborative digital learning environments, highlighting peer interaction and the role of adaptive technology in fostering personalized instruction and learner autonomy. The participants also emphasized the importance of integrating sustainability-focused content in language courses to promote ecological awareness. This research advocates for the transformative potential of post-humanist pedagogies in enhancing inclusive, learner-centered language learning experiences that support linguistic diversity and intercultural understanding. Future studies should explore the scalability and socio-political implications of these pedagogical approaches across diverse educational settings to address broader societal challenges and promote equitable education practices.

This study strived to specify and particularize Iranian medical field specialists and EFL teachers’ predominant and overriding textual interventions, which fall within the ambit of convenience editing. To this end, we required 20 field specialists and 20 EFL instructors to edit the unedited versions of 80 published medical research articles in a way that rendered them apt for publication in quality medical journals. We categorized the obtained data of the edited articles using an editing strategy framework that distinguished four editing micro-strategies and five macro-strategies. The findings revealed that medical specialists and EFL teachers’ micro-editing strategies outnumbered their macro-editing ones. Furthermore, there were significant differences between the editing micro-strategy uses of the above-mentioned groups of the participants. The results highlighted the need for a synergic collaboration between the medical field specialists and the EFL teachers to ameliorate medical articles’ formal, stylistic, and genre-related features and to expedite their publication process. 

The following paper was designed to focus on how learners’ process different communication inputs (Listening, Speaking, Reading and Writing) and secondly, how gender differences play a significant role in this process. However, materials and instruction methods must also affect individual responses to given tasks. A study on these issues will necessitate the development of gender sensitive instructional materials with a special focus on improving individual comprehension strategies. First year graduate students with English as a compulsory subject of the two selected institutions were taken for our study. In this paper we have reported the differences between the male and female attitudes of the learners and their beliefs in acquiring LSRW skills for learning English as a foreign language (EFL). Survey questionnaires (through Google forms) and interview questions were designed. One sample T-test and paired sample test were taken whereas, interview question responses were analysed to validate the data. The findings revealed that average responses regarding the difficulty of listening skills are statistically significant and correlation between male students learning listening skills are better in the collaborative learning environment whereas the female students depict a positive and moderate correlation for the same. However, it is also found that there is no significant difference between the overall performance of female and male students and the implications have been discussed in the paper.

AI-enabled solutions and systems, including AI chatbots, are revolutionizing teaching and learning processes in language education programs and language classrooms, profoundly changing traditional methodology and pedagogy. This study aimed to compare the effectiveness of implementing and utilizing three AI chatbots, Claude, Chat GPT, and Google Gemini, with traditional instruction in an academic writing course at Ilam University, Iran. To this end, of 39 TEFL MA students enrolling in an academic writing course, four homogeneous classes of nine students were organized. In three classes, the three AI chatbots were used for providing feedback, correction, revision guidance, and tips for outlining, moves, and paragraph organization. A class with traditional teacher-centered instruction was also organized. At the end of the course, students in all four classes were tasked with writing two essays. A team of three raters was asked to rate the essays based on a common rubric. The rating results showed that students who received AI-enhanced instruction through the use of Claude achieved the highest scores, followed by those who received instruction with ChatGPT and Google Gemini, respectively. The participants in all three AI-enabled classes outperformed the participants in the class with traditional instruction. The rating results confirmed the effectiveness of AI-enhanced writing instruction, highlighting Claude as the most effective AI tool, and ChatGPT and Google Gemini in the second and third ranks, respectively. Based on the course outcomes, AI-enabled writing instruction is more effective than traditional instruction.

Although instructional strategies, obstacles, solutions, and technologies designed to assist students with special educational needs (SEN) learning a foreign language were much discussed both in special and inclusive schools, little evidence addresses how English as a foreign language (EFL) teachers construct their identities as legitimate inclusive school practitioners as they witnessed and encountered a range of disabilities. To fill this void, this study reports on a narrative inquiry scrutinizing how Indonesian inclusive EFL teachers construct their identity in teaching 15 students with SEN. Drawing upon Johnston's framework of teacher identity, this study showcases how inclusive EFL teachers cultivated a positive rapport with students with SEN through the utilization of a personal approach and the incorporation of humor in teacher-student relation. Regarding professionalism, they perceived it as service-oriented by consistently motivating all of their students, particularly those with SEN, exhibited tolerance for the regular ones, and implemented co-education or peer-mediated instruction strategies. In light of teachers’ religious beliefs in English language teaching (ELT), they accomplished well by embedding numerous character values, referred to as profile pelajar pancasila, in English classrooms. The implications of this study are to bring potential implementations of specialized teaching strategies training of professional development for inclusive EFL teachers and differentiated assessment for students with SEN.

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.

Foreign language (FL) teacher agency, as a significant part of teachers’ professional development, encompasses self-organized efforts to augment professional growth. This study aimed to develop an ecological FL teacher agency model through a sequential exploratory mixed methods design based on which an assessment scale measuring FL teachers' agency value was developed. In the qualitative phase, developing and validating the FL teacher agency model, firstly, an interview guide was developed and piloted in a group of 10 TEFL teacher educators from Farhangian Teacher Education University in Tehran. Then, 30 in-service EFL teachers were interviewed. The data were analyzed through MAXQDA to find the components of the tentative conceptual model of teacher agency.  Based on the interview analysis, the preliminary draft of the EFL teacher agency scale was developed.  The refined EFL teacher agency questionnaire encompassing the three components of Autonomy, Freedom, and Choice was administered to 354 randomly selected EFL teachers. The scale's reliability was gained through Cronbach's alpha, and its construct validity through Exploratory Factor Analysis (EFA). The study findings could be used by foreign language teachers, teacher educators, and TEFL teacher agency researchers. 

This study investigates Indonesian English teachers’ perceptions of local English varieties and their influence on assessment practices, a crucial area given the increasing diversity of English in global and local contexts. While existing research highlights the recognition of World Englishes and their pedagogical implications, little is known about how teachers’ perceptions shape the evaluation of diverse English forms within Indonesia’s assessment system. The study aims to explore perceptions across different teaching levels, experience, and school locations, and to understand how these attitudes impact assessment decisions. Utilizing a quantitative, cross-sectional survey design, the research sampled 42 teachers from various Indonesian provinces through purposive sampling. Data were collected via a structured questionnaire and analyzed using SPSS to identify perception patterns and differences across subgroups. Findings reveal that teachers generally acknowledge the importance of local varieties but tend to prioritize native norms in assessments, with significant variations based on teaching levels, years of experience, and school locations. The study underscores the need for inclusive evaluation strategies that embrace linguistic diversity, informing professional development and policy reforms. Practically, these insights can guide the development of assessment policies that support multilingual identities and promote equitable language teaching, thereby enhancing the authenticity and relevance of English instruction in Indonesia.

Extensive reading (ER) has been widely recognized for its impact on vocabulary acquisition, yet its role in shaping L2 learners’ affective learning experience remains underexplored. In the early 20th century, Palmer proposed ER (see Day & Bamford, 1998) to lead to enhanced reading abilities and motivate L2 learners to read. Although ER’s potential in language development has been widely studied, few empirical studies have examined this connection within the framework of L2MSS. Selecting Dörnyei’s (2005, 2009) L2 Motivational Self-system (henceforth, L2MSS) which links learners’ future self-concept to their motivation and learning behaviors as our theoretical framework, we measured offline ER’s influence on not only Iranian EFL learners’ vocabulary development but also on their L2 learning experience. In so doing, we selected an experimental group (EG) ( N =32) and a control group (CG) ( N =28) from two university-level intact classrooms who were passing their General English course. The experimental group (EG, N=32) read three proficiency-matched graded readers over an 8-week period, while the control group (CG, N=28) used only the coursebook, Select Readings: Pre-Intermediate . The graded readers were selected in such a way to match learners’ current language proficiency as determined by an Oxford and Cambridge Quick Placement Test (OCQPT). Our participants’ baseline vocabulary knowledge was assessed using a teacher-made test, while their baseline L2 learning experience was measured through Li’s (2025) L2 Learning Experience Scale measuring six subcomponents: positive emotion, negative emotion, engagement, relationship, meaning, and accomplishment. The findings showed that both groups had little knowledge of the target words before the treatment. However, post-treatment results showed that the EG significantly outperformed the CG in vocabulary knowledge and reported greater gains across multiple L2 learning experience subscales. These findings have important implications for integrating extensive reading into general English curricula to foster both lexical growth and learner motivation.