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Although there has been ample research on English as a Foreign Language (EFL) teachers’ formative assessment practice (FAP) and their agency separately, scant attention has been paid to the possible influence of teachers’ level of agency on their FAP. Accordingly, this study investigated EFL teachers’ FAP in the light of teachers’ agency. The initial participants, selected based on convenience sampling, comprised 180 male and female Iranian EFL teachers within the age range of 22 to 45. Their teaching experience fell between a few months to 21 years. The initial 180 teachers were given a Teacher Agency Questionnaire (TAQ) to determine teachers with high and low levels of agency. To this aim, 30 teachers who scored the highest and 30 who scored the lowest on the TAQ were selected. The 60 teachers were asked to fill out the Teacher Formative Assessment Practice Scale (TFAPS). Moreover, 15 teachers from each group were asked to take part in semi-structured interviews to explore their perceptions regarding their FAP. The results of parametric independent samples t-test revealed that teachers in the high-agency group scored significantly higher than their counterparts in the low-agency group in terms of both teacher-directed (p = .00<.001, effect size = 3.32) and student-directed FAP (p = .00<.001, effect size = 3.44). The descriptive and qualitative comparison of the thematic analysis between teachers in the high agency and low agency groups demonstrated marked differences both in the total number of themes and theme mentions as well as the theme contents between the two groups. Based on the findings, teacher educators are encouraged to enhance EFL teachers’ level of agency to improve their FAP.

Artificial Intelligence (AI) is affecting various aspects of education and there is a need to consider the consequences of this technological improvement on achievement and attitudes of the most direct stakeholders. Therefore, this study has focused on the effect of AI on teaching English with three key areas of concern: the effect of Chat-GPT-driven materials on learning outcomes, the attitudes of teachers who use Chat-GPT -informed pedagogy, and the students’ attitudes towards Chat-GPT-integrated materials. This study used a quasi-experimental intervention-based research design to achieve the intended objectives. Based on the type of educational institution, the participants were divided into three groups (90 students from Iranian language institutes, 100 students from public high schools, and 100 students from private high schools). Furthermore, fourteen teachers from these institutions shared their viewpoints on the use of AI, particularly Chat-GPT, in developing instructional materials. Pre- and post-tests were administered to check the effect of treatments on each group (based on the syllabus developed for those specific educational institutions). Moreover, two researcher-developed questionnaires were administered among teachers (composed of 27 Likert-Scale items) and students (composed of 23 Likert-Scale items). The obtained results indicated that Chat-GPT significantly improved EFL learners' performance in language institutions. Teachers looked upon AI with favor. This was based on its potential to change the produced educational materials and improve students’ engagement in the learning process. Students, in all three environments, looked positively toward Chat-GPT-driven materials. In short, this study showed the potential for AI to upgrade EFL teaching in Iran.

Few studies have explored how English-as-a-foreign-language (EFL) preservice teachers can do collaborative reflective practice (CRP) to enhance their knowledge and skills, using artificial intelligence (AI) tools. The main purpose of this study, adopting a basic interpretive qualitative design, is to investigate how CRP can be implemented with ChatGPT to develop preservice EFL teachers professionally. After selecting the participants through a purposive sampling procedure and exploring the perspectives of eight preservice EFL teachers and two teacher educators through narratives, interviews, observations, and group discussions, the data were analyzed through thematic analysis. The results of data analysis showed that employing CRP implemented in ChatGPT has the potential to provide several benefits, including the ability to contemplate new experiences, connect theory and practice, acquire knowledge and expertise, become critical and autonomous, embrace challenges and opportunities, improve professionally, socially, and emotionally, regulate emotions and thoughts, and foster creativity. Furthermore, the use of ChatGPT in CRP can function as a virtual mentor and collaborator to engage with preservice teachers, find problems and resolve issues, and enhance professional growth. The findings of the present study may carry implications for teacher educators and policy makers to enhance social and reflective practices as they integrate AI into teacher education programs to enhance preservice teachers’ cognitive and social functioning.

It is becoming an established strategy to add humor in Persian subtitles even often when the original dialogue does not include the created or any other humor. This study measures the impact of this strategy on viewers’ attention allocation while reading subtitles. The eye movements of 32 participants were recorded while watching a humorous and non-humorous version of the same scene extracted from Superchondriac (Boon, 2014), a French comedy. The results show that there is a significant difference between attention allocation in the two versions, and the viewers’ attention to the subtitles with added humor is significantly larger than non-humorous subtitles. The interviews showed that some viewers liked the added humor because they thought it is funny and close to their cultural and ideological views. On the other hand, some of the participants opted for the non-humorous subtitles because they thought the added humor was distracting, confusing, at times offensive, and detached from the original culture.

This study examines the influence of output-based podcasts (OBPs), the mediating effect of funds of identity (FoI), and teacher corrective feedback (CF) on L2 speaking of Iranian pre-intermediate learners and their willingness to communicate (WTC). The study also surveys the attitudes of the experimental groups toward OBPs and CF, as well as their probable attitude and WTC changes over time. To these ends, 60 participants were randomly divided into two experimental groups (the OBPs + CF and theOBPs – CF group) and a control group. Podcasts were created based on themes congruent and incongruent with students' FoI. The data was collected through pretest, immediate and delayed posttests, (attitude, WTC, and FoI) questionnaires, reflective journals, as well as an interview. Results demonstrated that OBPs improved the experimental groups’ speaking ability. Moreover, CF pushed learners to perform better. FoI also proved to be pivotal in triggering learners’ WTC. Learners had positive attitudes toward OBPs and FoI in improving their speaking skill. Furthermore, learners’ WTC changed positively over time as a result of creating podcasts. Integrating FoI into creating podcasts improved learners' performance, increased their WTC, and brought them more satisfaction. As such, OBPs based on students' FoI are suggested to serve as an alternative teaching method to traditional lecturing.  

This study aimed to unravel the EFL students’ technology acceptance toward the implementation of Technology-Mediated Syntax Learning (TMSL) and unveil its impact on EFL students' learning autonomy and English Syntax (ES) learning achievement. Therefore, the quantitative study was operated through descriptive analysis and pre-experimental design. The descriptive analysis was done to scrutinize the EFL students' technology acceptance and learning autonomy toward implementing TMSL. The pre-experimental study was conducted to know the effect of TMSL implementation on ES learning achievement. The participants of this study were 121 students who joined the English Syntax course in the English Education Department, Faculty of Education and Teachers Training at a public university in West Nusa Tenggara Province, Indonesia. The results showed that the participants highly accepted TMSL and depicted high learning autonomy scores. The statistical calculation proved significant differences between participants' ES Pre-test and Post-test scores, meaning that TMSL implementation significantly affected ES learning achievement. However, the distinct results of technology acceptance and autonomy analysis from previous studies suggest further investigation, including applying different research approaches. Hence, this study suggests that a technology integration model gains positive output and outcome for the EFL learning context.

Objective: Despite the renewed interest in individual differences in second language acquisition (SLA), there is still limited research on the interconnections among regulatory focus (promotion and prevention), L2 grit (Consisting of perseverance of effort and consistency of interests), and emotions. Methods: A total of 85 undergraduate English majors (54 women, mean age = 20 years) from two comprehensive universities in Iran took part in the research. In order to assess the participants' promotion and prevention focuses, L2 grit, and English writing enjoyment, three questionnaires were used. The data collected was analyzed using IBM SPSS (26.0) software. Results: The correlational analysis revealed that regulatory focus, L2 grit, and L2 writing enjoyment are interconnected. Specifically, promotion focus positively correlated with L2 writing enjoyment and L2 grit. Additionally, L2 grit (Perseverance of Effort) showed a meaningful connection with L2 writing enjoyment. On the other hand, prevention focus demonstrated significant negative correlations with L2 writing enjoyment and L2 grit. Lastly, there was no significant relationship found between L2 Grit (consistency of interest) and L2 Writing Enjoyment. Conclusions: The study's results demonstrate the crucial findings regarding the interplay between different dimensions of grit, emotion and personal best goals.

This study investigates incidental vocabulary acquisition among English as a foreign language (EFL) learners through engagement with video games, particularly the mobile RPG Genshin Impact and the mobile first-person shooter Call of Duty: Mobile (CODM). Although the field of digital game-based language learning (DGBLL) is expanding, there is a paucity of research comparing the effectiveness of different genres or concentrating on specific, highly engaging mobile games. Forty intermediate EFL university students in Iran participated in a six-week study. They were divided into experimental groups (Genshin Impact, CODM) and control groups. Quantitative data from Vocabulary Knowledge Scale (VKS) pre/post-tests assessed vocabulary gains, while qualitative data from focus groups, stimulated recall interviews, and gameplay logs examined learning experiences and strategies. Analysis of variance (ANOVA) and post-hoc tests revealed that the Genshin Impact group outperformed the CODM group in vocabulary gains, though both experimental groups showed statistically significant improvements compared to the control group. The findings suggest these games hold significant potential for vocabulary development at the intermediate level, though efficacy for lower proficiency remains a question for future research. While CODM exposure was more contextually sparse, qualitative analysis revealed the critical roles of contextual richness, repetition, motivation, and learner agency in Genshin Impact. Commercially successful mobile games, especially narrative-rich role-playing games like Genshin Impact, prove effective for incidental vocabulary learning, mainly due to contextual embedding, high-frequency exposure, and intrinsic motivation. This study bridges gaps in genre comparison and transferable vocabulary acquisition, supporting the integration of such games into supplemental language learning contexts.

Task-based instruction has gained significant attention in second language research, particularly in how task conditions impact learner performance. This study examined the differential effects of repetition and rehearsal, two distinct task-readiness conditions, on the immediate and delayed L2 performance of EFL learners with low Working Memory Capacity (WMC). A quasi-experimental design was employed to address the research questions. Four instruments were utilized: the Oxford Placement Test (OPT), a WMC test, a practice task, and a main task. Thirty-eight EFL learners were randomly allocated to two groups, each exposed to a distinct readiness condition—rehearsal or repetition. Participants were selected from an intermediate-level English course at a private language institute using convenience sampling and then randomly assigned to the two conditions. Both groups accomplished an oral task twice, with the rehearsal group being aware of the second performance in advance, while the repetition group had no such awareness. Task performances were evaluated based on Complexity, Accuracy, and Fluency (CAF). The results indicated that although both conditions positively influenced task outcomes, only the rehearsal group showed statistically significant improvements across all CAF dimensions in both immediate and delayed performances. These results contribute to the growing body of research on individual differences in task-based learning by demonstrating that rehearsal is a more effective readiness strategy than repetition for EFL learners with low WMC. This finding can inform instructional design and classroom practice in contexts where cognitive load is a concern.

Le présent article se penche sur l’étude descriptive et analytique des noms composés dans une approche contrastive (français-persan et vice versa). Un corpus thématique dans le domaine de « faune et flore » a rassemblé ces noms en deux langues dont les exemples sont présentés dans les tableaux, parallèlement à leurs équivalents dans l’autre langue. Pour être plus systématiques, nous avons fait une taxinomie de cette thématique qui se répartit en quatre groupes « fruits et légumes », « arbres et fleurs », « plantes aromatiques et médicinales » et « animaux ». Les structures grammatico-syntaxiques ainsi que la situation de leur noyau sémantique, à savoir indocentrique et exocentrique, sont passées au crible. Selon les résultats de notre recherche, cette catégorie de nom partage plus ou moins les mêmes structures et traits caractéristiques dans les deux langues étudiées, sans oublier quelques points importants et intéressants qui les distinguent d’une langue à l’autre, notamment sur le plan orthographique.  

The COVID-19 pandemic prompted significant transformations in education systems globally. Consequently, this qualitative ethnographic study aimed to analyze the evolution of attitudes among English as a Foreign Language (EFL) learners through the lens of language socialization (LS). Additionally, the study explored the evolution of the COVID-19 pandemic on the LS of Iranian EFL learners within cyberspace through prolonged engagement and triangulated data collection, including classroom observations, semi-structured interviews, researcher field notes, audio recordings, and student journals. This approach allowed for a holistic understanding of the Iranian culture from participants' perspectives. A triangulation of data was collected, comprising class observations, semi-structured interviews, researcher notes, audio recordings, and student journals. The Data analysis was conducted using MAXQDA Analytic Pro 2020. Based on the seven principles of LS, the results identified eight categories: cultural familiarity, cultural differences, the influence of foreign culture, changes in identity and behavior, online class recording, online learning, self-efficacy, and participation in virtual groups. Ultimately, this study concluded that language and culture are intrinsically intertwined and that learners' engagement with language and culture adversely impacts their socialization within the English language and culture. Furthermore, online classes were found to enhance learners' self-efficacy while reducing anxiety levels. The findings equip EFL educators with strategies for fostering adaptive language socialization during crises, while offering learners tools to navigate disruptions through reflection and virtual communities. Additionally, they guide researchers in studying attitude evolution ethnographically and urge material developers to integrate psychosocial elements into language resources for volatile environments.

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.

This empirical investigation examines the repair strategies used by trainee interpreters in English-Persian simultaneous (SI) and consecutive interpreting (CI) modes. The research seeks to investigate two main questions: whether there are differences in the frequency of repairs between SI and CI, and whether there are variations in the sorts of repair strategies employed in both modes. The study involved nine trainees from Shahid Bahonar University of Kerman who were learning interpreting. The study employed a 4-minute speech from Voice of America English News, which discussed the influence of vitamins on preventing the advancement of AIDS in women. Occurrences of self-repairs were detected using Tang’s (2020c) framework. The findings revealed a notable disparity in the frequency of repair strategies between CI and SI modes, with CI trainees utilizing a greater number of repairs. In addition, the trainees in the CI mode achieved superior scores in explicitation and synonym techniques. The results emphasize the unique patterns of repair strategies in both consecutive and simultaneous interpretation, reflecting the importance of focused training to improve interpreters’ abilities in both modes. Interpreter training programs may consider including explicit instruction on repair procedures and placing emphasis on evaluating their use in performance assessments.