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This study explores the influence of dialogic reflective journals (DRJ), incorporated with guided collaborative critical reflection (GCCR), on critical thinking skills and professional identity development of Iranian English as a Foreign Language (EFL) teachers, framed by Schön's (1983) Reflective Practice Model and Korthagen's (2004) Onion Model. Employing a mixed-methods design, the research involved 60 EFL teachers (30 in the experimental group and 30 in the control group) over a semester. Quantitative data from pre- and post-intervention surveys were analyzed using Mann-Whitney U and Wilcoxon Signed-Rank tests, while qualitative insights were derived from thematic analysis of DRJ entries and focus group interviews. Findings indicated significant enhancements in critical thinking and professional identity for the experimental group, with emergent themes of Ethical Mission Alignment, Collaborative Agency, Emotional Resilience, and Socio-Cultural Awareness extending Korthagen's model. These results underscore DRJ's efficacy in promoting transformative reflection, offering implications for EFL teacher training programs in Iran to mitigate barriers like workload and institutional rigidity.

While there is a growing interest in poetry writing, it is important to explore students' experiences of writing poetry related to their meaningful lived experiences in an English as a Foreign Language setting. The study aims to investigate students' perceptions, emotions, and desires toward the activity of autobiographical poetry writing. Valid responses were obtained from 143 EFL students through a Qualtrics online survey, which examined their experiences in composing autobiographical poetry and its impact on their perceptions, emotions, and desire to learn poetry. The participants came from ten universities across various regions in Indonesia. Descriptive statistics and thematic analysis revealed that participants perceive writing autobiographical poetry to be a challenging experience due to technical language and poetic style. They also demonstrated a range of emotions, notably fear and anxiety, despite believing that the activity is beneficial. Although most of them experienced many challenges in autobiographical poetry writing, they expressed a desire to continue learning how to write poetry in the future. Participants were able to express their personal experiences in meaningful ways through their poems despite their anxiety about poetry writing. Hence, this study can serve as a stepping stone toward integrating poetry into Indonesian EFL curricula as a form of meaningful literacy

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 obligatory prevalence of online education during the COVID-19 pandemic has drawn researchers’ attention to the challenges involved in foreign language pedagogy in such virtual educational contexts. Against this backdrop, this study investigated the impact of online self-regulated learning, use of communication strategies, and test anxiety on Iranian English as a Foreign Language (EFL) learners’ online speaking test performance. For this purpose, 132 EFL learners were given the e-Oxford Quick Placement Test and the speaking part of a sample A2 Key and B1 Preliminary test. Next, translated versions of the given measures were administered to the pre- and intermediate EFL learners and the obtained data were subjected to Structural Equation Modeling analyses that verified strong links between online self-regulated learning and the use of communication strategies, test anxiety and online self-regulated learning, and test anxiety and EFL learners’ use of communication strategies. Furthermore, the direct impacts of online self-regulated learning and use of communication strategies on learners’ online speaking test performance were verified; however, test anxiety was found to indirectly impact the learners’ online speaking test performance through its negative effect on EFL learners’ online self-regulated learning and use of communication strategies. In addition, online self-regulated learning turned out to be the strongest predictor of the learners’ online speaking test performance. As for the implications of the findings, it appeared that the attested model lends support to Bachman and Palmer’s (1996) language use framework illustrating test performance as a vulnerable construct affected by test takers' attributes and features of the test tasks and the impact of construct-irrelevant factors like test takers’ personal characteristics on their test performance.

Museums are crucial cultural and educational institutions that facilitate visitors’ learning by integrating diverse modes of engagement, including linguistic, visual, auditory, and spatial elements. Consequently, coherence of these elements is crucial for effectively presenting information and maximizing its impact on visitors. Utilizing Kress and van Leeuwen’s (2020) principles of composition, specifically focusing on information value and salience, this study sought to assess text-image interaction in the images at the Omidvar Brothers Museum and their corresponding Persian labels, as well as to compare the interaction in the Persian labels with that in the English labels. The analysis revealed that the criterion “information value: left vs. right” received minimal attention, while the “information value: center vs. margins” criterion was the most consistently met in both Persian and English descriptions. However, the overall accuracy of multimodal interaction between the images and labels decreased by 7.40% in the English labels compared to the Persian labels, indicating a decline in translator performance relative to the original authors. This reduction in verbal-visual coherence suggests a less engaging experience for English-speaking foreign visitors compared to Iranian audiences. These results emphasize the necessity of addressing multimodality within museum contexts, as such focus can significantly enhance visitor experiences and deepen their understanding of museum exhibits.

The essential requirement of validity in second language assessment and testing is of paramount importance since it guarantees that tests properly gauge the targeted constructs and produce propitious interpretations. In this light, there seems to be a pressing need to carefully assess outdated conceptions of validity in English language testing to ensure they are in lockstep with current linguistic and sociocultural circumstances. This review examines the book "Ethics and Context in Second Language Testing: Rethinking Validity in Theory and Practice," edited by M. Rafael Salaberry, Albert Weideman, and Wei-Li Hsu (2023), and it unravels new horizons for expanding the comprehension of validity beyond traditional frameworks. The review underscores the primary subjects addressed in the book's content, such as ethical issues, contextual factors affecting test design, and novel approaches for assessing validity in real-world settings. The review also stresses the book's critical analysis of existing paradigms and recommends a more nuanced perspective on validity that incorporates ethical considerations and contextual significance. To this end, the current review constitutes an important reference for researchers and practitioners to encourage them to critically examine and reframe validity in second language testing.

Given that technology-enhanced assessment has transformed language education by providing adaptive and interactive evaluation methods, the current research aimed to examine the comparative effects of Computerized Dynamic Assessment (CDA) and Computerized Formative Assessment (CFA) on vocabulary learning and academic buoyancy among Iranian EFL learners. Employing a quasi-experimental, non-equivalent groups pre-test-post-test-control group design, the study involved 60 intermediate male EFL learners aged 15–24 recruited from two language institutes in Tabriz, Iran. Participants were assigned to CDA, CFA, and control groups. The Oxford Placement Test determined proficiency levels, while the Vocabulary Knowledge Scale and Academic Buoyancy Scale assessed vocabulary acquisition and buoyancy, respectively. The CDA group engaged in dynamic, adaptive scaffolding through Adobe Captivate software, while the CFA group used Google Forms and Quizlet for formative feedback. The control group received traditional instruction. Results from ANOVA indicated that CDA and CFA significantly enhanced academic buoyancy, with no significant difference between them. However, CDA demonstrated superior vocabulary retention compared to CFA. These findings highlight CDA's effectiveness in fostering vocabulary acquisition through tailored mediation and CFA’s role in promoting self-regulation and academic buoyancy. The study underscores the importance of integrating adaptive assessment models in EFL instruction to optimize cognitive and affective learning outcomes.

A critical component of cognitive diagnostic models (CDMs) is a Q-matrix that stipulates associations between items of a test and their required attributes. The present study aims to develop and empirically validate a Q-matrix for the listening comprehension section of the International English Language Testing System (IELTS). To this end, a listening comprehension test of the IELTS was administered to 820 Iranian test takers. According to theories, taxonomies, and models of second/foreign language (L2) listening comprehension, previous studies on the utility of CDMs to L2 listening comprehension, detailed content analysis of the test items, and consultation with several content experts, an initial Q-matrix was first developed. Through the technique suggested by de la Torre and Chiu (2016), along with checking heatmap plots and mesa plots using the GDINA package in R, the Q-matrix was then empirically validated. Generally, six attributes were extracted for the listening section, namely, (1) Linguistic knowledge (LKA), (2) understanding prosodic patterns (UPP), (3) ability to understand and make paraphrases (PAR), (4) ability to understand specific factual information such as names, numbers, and so forth (UFI), (5) ability to understand explicit information (UEI), and (6) ability to make inference (INF). Finally, the results of the fit of the GDINA model to the data, at both item and test levels, indicated the adequate model-data fit and the plausibility of the Q-matrix. The implications of the study were also discussed.

The present study investigates the challenges of learning English grammar with a focus on the syntactic analysis of relative clauses (RCs) in Persian in contrast to English to identify the most common errors made by Persian learners of English. In addition, it aims to enhance L2 grammar learning and overcome challenges using AI-assisted tools such as Wordtune, Instatext, and ChatGPT in classroom activities. The quantitative data were collected through the RC tests adapted from the models used by Izumi (2003), comprising three test types: sentence combination, interpretation, and grammaticality judgment. These tests were administered before and after the implementation of AI-powered strategies. The result of the tests in intermediate learners revealed that the most recurrent interlingual error was “the use of object pronouns” instead of gaps, while the challenges in “RC reduction” were among the most common intralingual errors. The findings highlight not only the major differences in RC structures between the two languages but also present an innovative approach that uses AI to address these challenges, offering insights for teachers and instructors. Addressing such errors and utilizing technological advances can pave the way for learners and teachers to have more effective learning and teaching strategies.

Inclusion as an educational practice that has its roots in social justice promotes equal access to educational opportunities for all students irrespective of their special educational needs (SEN). The efficacy of such inclusive education largely depends on teachers, particularly their attitudes and skills for teaching students with SEN in mainstream classrooms. That being the case, teacher education programs play a crucial role in fostering these requisite skills and attitudes. This quantitative cross-sectional correlational study examines the attitudes, sentiments, and concerns of pre-service English language teachers regarding inclusive education. A total of 139 pre-service English teachers from five universities completed the Sentiments, Attitudes, and Concerns about Inclusive Education–Revised Scale. Descriptive statistics and correlational analyses were used to analyze the data. The results indicated moderate attitudes towards inclusive education among the pre-service English language teachers. While their sentiments and concerns about inclusive education showed variations based on their prior coursework experience, their attitudes remained stable. Moreover, the attitudes and concerns of the participants did not reveal a significant correlation with their policy knowledge, but the sentiment scores showed statistically significant differences in the two groups. Finally, the amount of previous experience with SEN students did not significantly differ in terms of attitudes, sentiments, or concerns about inclusive education. The findings provide implications for foreign language teachers, teacher educators, and initial teacher education program developers.

While cognitive and social-affective strategies have straightforward impacts on learners’ academic performance attached to specific tasks in a communicative and student-centered language classroom, metacognitive strategies, with their vigorous power, are arguably worth more attention. This group of strategies plays a vital role in making students become more self-directed and autonomous learners. This paper reported on a study investigating Vietnamese university students’ perception of using metacognitive strategies in their listening activities. Specifically, 140 English majors at the foreign language department of a university in Vietnam were involved in the study. Based on quantitative data from a questionnaire slightly adapted from Vandergrift et al. (2006), it was found that students in the study generally had a relatively high awareness of metacognitive strategies, with varying levels across the five subcategories of specific strategies. In addition, a comparison between the two groups (first-year and third-year students) showed minor differences regarding their listening strategy awareness. The findings suggested that metacognitive strategies should be encouraged, and listening strategies should be instructed early in English education programs.