درخت حوزه‌های تخصصی

Critical thinking is one of the main functions of education and it is considered as learners’ use of prior knowledge to make judgments and solve problems. This study aimed, firstly, to examine the relationship between university EFL teachers’ critical thinking tendencies and their problem-solving skills, and secondly, to explore the prediction of university EFL teachers’ critical thinking tendencies by problem-solving skills, gender, and teaching experience. The study was designed in a correlational survey method. In total, 70 university EFL teachers (35 males and 35 females), from Azad and Payame Noor universities located in Isfahan and Ilam provinces teaching undergraduate students majoring in English, participated in this research. Data were collected via the California Critical Thinking Disposition Inventory and the Problem-Solving Inventory. The collected data were analyzed using descriptive statistics, the Pearson Product-Moment Correlation Coefficient, and stepwise regression analysis. The relationship between critical thinking tendencies and problem-solving skills was investigated through the Pearson Product Moments Correlation Coefficient, and stepwise regression analysis was run to determine whether university EFL teachers' problem-solving skills, gender, and teaching experience can significantly predict their critical thinking tendencies. The findings indicated that there was a positive, moderate, and significant relationship between university EFL teachers' problem-solving skills and their critical thinking tendencies, while there was no significant difference according to gender. In terms of teaching experience, the correlation coefficient for novice teachers showed a weak, positive, and non-significant relationship, yet the correlation coefficient for experienced teachers indicated a moderate, positive, and significant relationship. This study has both theoretical and practical implications for EFL teachers, practitioners, learners, and policymakers.  

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 In this light, there seems to be a pressing need to carefully assess outdated conceptions of validity in English language testing to ensure they are in lockstep with current linguistic and sociocultural circumstances.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.

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.  

This research aims to develop a questionnaire that measures students’ attitudes toward collaborative course design and identifies any barriers that might hinder student participation in course design. The questionnaire was developed in four phases. First, an item pool was created based on experts’ opinions, relevant literature, and the researchers’ experience. Second, the items were classified into two main sections: “attitudes” and “barriers”, with the latter further divided into five subcategories (social and cultural, educational and institutional, individual, practical, and attitudinal). The content validity of the questionnaire was assessed, with all items and subcategories achieving CVR>0.59 and CVI>0.79, thus surpassing the minimum required threshold. Third, the questionnaire was piloted with 330 students. The construct validity of the Collaborative Course Design Questionnaire (CCDQ) was confirmed through exploratory factor analysis (EFA) using Principal Component Analysis (PCA) as the extraction method, along with Varimax rotation, which identified six factors explaining 71.536% of the variance in the data. Finally, Cronbach’s alpha was calculated, yielding reliability indices ranging from 0.971 to 0.627, indicating internal consistency and reliability of the items within each construct. The findings suggest that the Collaborative Course Design Questionnaire is a valid and reliable instrument suitable for use with senior high school students.

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.

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.

This study aims to analyze the factors associated with motivation and attitude towards English learning through the application of structural equation modeling (SEM). A quantitative, ex post fact, cross-sectional and explanatory study was carried out on 1202 university students. Eight motivational factors were examined, namely: Motivational Intensity (MI), Attitude towards Learning English (ATLL), Integrative Orientation (IntO), Instrumental Orientation (InsO), Interest Towards Foreign Languages (ITFL), Evaluation of English Teaching (EET), Desire to Learn English (DLE), Evaluation of the English Course (EEC). The multiple regressions showed that EET, DLE, InsO, and EEC are predictors of the MI. It was found that DLE, InsO, and EEC are predictors of ATLL. The SEM showed a weak positive influence of InsO on DLE, ITFL, EET, EEC, MI and ATLL. IntO had a weak positive impact on DLE, EET, EEC, and ITFL. There was a weak positive impact of DLE on ITFL, ATLL and MI, and it had a strong effect on EEC. Finally, EET had a weak positive effect on MI, whereas EEC had a weak positive impact on ATTL and MI. This research provided information that serves to understand the factors affecting the intensity of motivation and attitude in L2 learning

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.

Language, as the main tool of human communication, has diverse structures and features that play an important role in the transmission of meaning and social interactions. One of the important approaches in language analysis is functional grammar or systemic functional grammar, which examines how language functions in different situations. In this framework, grammatical metaphor is considered as one of the key concepts that can play an important role in shaping and representing meanings in different texts. Halliday introduced and distinguished three types of grammatical metaphors, including ideational, interpersonal, and textual metaphors. In this study, the extent and way of using grammatical metaphors in literary and scientific texts in the Azeri language from an interpersonal perspective was investigated. For this purpose, the analytical-descriptive research method was used. In this study, for the scientific genre, the book "Dil and Dilchilik" by Ali Dashkin and for the literary genre, selected articles from the magazine "Anna Varlig" were selected as the data and analyzed. The results showed that there was no significant difference in the use of interpersonal grammatical metaphors in the two genres of science and literature. Furthermore, the examination of the components indicated a significant difference in the use of grammatical metaphors of mode and modality between the two genres; so that modality was used significantly more in science texts than in literary texts, and mode was used more in literary texts than in science texts.

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.