درخت حوزه‌های تخصصی

This research paper delved into the critical issue of applying English as a Lingua Franca (ELF) assessment principles in local English language tests used for non-native English speakers in Iranian language institutes. A qualitative content analysis was made on 60 local tests, dissecting them into domains, dimensions, and rating rubrics to scrutinize their alignment with ELF assessment principles. The study unveiled that despite some alignment with ELF assessment principles, key aspects like local communicative context, intercultural competence, and linguistic diversity are often overlooked. In particular, writing and reading tests failed to fully reflect these principles, and listening and speaking assessments showed biases towards native English varieties. The study provides crucial insights for test developers to foster a more nuanced and accurate assessment of non-native English speakers' abilities. Moreover, it highlights the need to embed ELF principles into test construction, argues for broader assessment scopes and a focus on locally relevant tasks, and contributes to more equitable and contextually relevant English language proficiency tests by emphasizing linguistic diversity in assessment frameworks.

Listening anxiety is the feeling of apprehension that learners might experience when trying to comprehend information from others. This anxiety associated with listening comprehension has been a significant focus of academic research for the past few decades. Foreign language listening anxiety (FLLA) can be triggered by different factors, including affective pressure, cognitive load, or communication disorders. However, there is a lack of appropriate conceptual models to accurately pinpoint the sources of anxiety related to listening. This research introduces a novel model in a non-experimental correlation research design to scrutinize the efficacy of cultural intelligence (CQ) and reflective thinking (RT) in predicting the source of FLLA among EFL learners. To accomplish this, a sample of 250 EFL students was administered the three scales for the constructs under study. In terms of the statistical analysis, structural equation modeling (SEM) was run to examine the fit of the conceptual model. The findings showed that both CQ and RT affect FLLA. However, RT was a stronger predictor of FLLA than CQ. Notably, critical reflection was found to be the strongest predictor of FLLA in the RT. Besides, both cognitive and behavioral dimensions equally influenced FLLA for CQ. Lastly, the results and implications for reducing FLLA are discussed.

Language teacher factors have attracted attention in the field of language teaching in recent decades. This study sought to identify predictors of productive and maladaptive teacher immunity in British and Iranian English teachers. It also investigated the differences between British and Iranian teachers’ immunity. Accordingly, the researchers selected 283 British and 295 Iranian EFL teachers at language institutes as participants. In addition, they gave the participants seven reliable and valid questionnaires to assess their teacher immunity, age, income, emotion regulation, teacher reflection, professional identity, and grit. Finally, they analyzed the data using logistic regression analysis and a t-test. The results showed that British teachers’ emotion regulation, teacher reflection, and professional identity and Iranian teachers’ income, age, and emotion regulation were the most significant predictors of their teacher immunity. In addition, British teachers’ immunity was more productive than that of Iranian teachers. The results can provide specific guidelines for dealing with teacher factors in English classrooms.    

This paper investigates the payment's impact on the quality of translated products, an area that has been largely overlooked in translation sociology. Drawing on Actor-Network-Theory, the study analyzed recent translations by 10 Iranian freelance and agency translators with over five years of translation experience in the market. Participants provided the researchers with translations completed for low and good payments, which were evaluated using the Waddington (2001) model. Interviews were conducted to gather the participants’ opinions with regard to the Iranian translation market. Despite dissatisfaction with low payment and the unjust translation market, most translators produced high-quality translations. However, the unjust market frustrated translators and led many to leave their jobs. The findings suggest that while low payment does not necessarily negatively affect translation quality, it can significantly impact the job satisfaction and retention of translators. This study sheds light on the economic aspect of translation and has important implications for the translation industry.

This study examined the possible effects of orthographic/phonologic priming techniques on the receptive language skills of Iranian EFL learners with different proficiency levels. From an initial pool of 700 EFL learners from a language learning institute, two hundred and seventy learners from both genders were selected based on their performance on an English proficiency test and classified into six experimental and three control groups. After gaining certitude about the participants’ English proficiency levels, the semantic and orthographic/phonologic priming phase was conducted, and consequently, the participants’ contextualized comprehension of the primed words was assessed via a set of reading and listening comprehension tasks. The performances of the participants on the designed tasks indicated that semantic primes were more efficient for improving both comprehension skills compared with the orthographic-phonologic primes. Moreover, based on the results, language proficiency affected the success of the primes on both reading and listening comprehension tasks; advanced learners showed a greater improvement than the beginners and the intermediates under the influence of the priming techniques. Orthographic-phonologic primes were found to be more efficient for beginners, whereas the advanced learners showed an enhanced performance with regard to semantic primes. Overall, semantic primes showed more facilitative effects across various comprehension tasks due to their activation of deeper cognitive processing. Orthographic-phonologic primes were also successful. However, they were more efficient in the early stages of language learning, where visual recognition played a more critical role.

La majorité des troubles mentaux trouvent leurs origines dans le contexte social et familial de l'enfance. Selon Karen Horney, psychologue néo-freudienne, un enfant privé d'amour, de sécurité, de confiance et d'affection développe une anxiété à l'âge adulte, entravant ainsi son épanouissement. Pour faire face à cette anxiété, il adopte l'un des trois types de personnalité : agressive ou conflictuelle, soumise ou complaisante, et détachée ou isolée. Ces individus se réfugient souvent dans un monde imaginaire qu'ils créent pour trouver la paix intérieure et pour apaiser leurs tourments, mais cette échappatoire engendre également d'autres problèmes psychologiques. Dans cet article, nous analysons le type de personnalité de Monsieur Songe, personnage du livre éponyme de Robert Pinget, en nous appuyant sur les théories de Karen Horney. Des exemples tirés de l'œuvre révèlent la dimension psychologique de ce personnage, contribuant ainsi à une meilleure compréhension de la richesse psychologique du Nouveau Roman, qui est toujours en débat.

"English Language and Literature" courses are essential components of university education. They provide a significant avenue for understanding the politics, economics, and customs of English-speaking countries. These courses facilitate a mastery of English grammar, which in turn enhances students' comprehension of spoken and written English content. However, traditional modes of instruction in English Language and Literature often lack engagement and interactivity, thereby limiting the effectiveness of learning in this field. In order to boost learners' interest and efficiency in studying English, it is imperative to shift away from conventional teaching approaches. With the rapid advancement of artificial intelligence in various domains, its integration with English Language and Literature education can yield intelligent learning experiences. This study employs a combination of Convolutional Neural Networks (CNN) and Gated Recurrent Units (GRU) to reform the teaching model in English Language and Literature. The results indicate that CNN and GRU methodologies offer substantial support in realizing intelligent approaches to teaching this field. These methods exhibit a high degree of similarity and accuracy in predicting linguistic features in English Language and Literature. They excel in terms of predictive and scatter error distribution, showcasing superior performance.  

This bibliometric analysis explores the integration of semiotics within educational contexts, highlighting a transformative shift towards multifaceted understandings of knowledge construction through language, multimodality, and educational transformation. Drawing on 1823 publications from the Web of Science database, this study employs both co-citation and co-word analysis to reveal prevalent themes and keywords in the field of semiotics in education. The co-citation analysis highlights the evolution of semiotic theories and their application in educational practices, from foundational concepts introduced by pioneers such as Saussure and Peirce to modern interpretations that consider the impact of digital technologies on semiotic resources. Co-word analysis, on the other hand, uncovers key research topics such as multimodality, multiliteracies, and the role of technology in mediating semiotic learning processes. This investigation is novel in its comprehensive approach to mapping the semiotic landscape in education through bibliometric methods, offering insights into how semiotic theories shape educational practices and outcomes, especially in language teaching and learning. By synthesizing findings from diverse research clusters, this study emphasizes the importance of adopting a multidisciplinary approach to understand the dynamic interaction between semiotics, technology, and learning. It contributes to advancing educational research by highlighting the transformative potential of semiotics in crafting more engaging, inclusive, and effective learning environments in the digital era.

Writing is a crucial means of communication. Iranian English as a Foreign Language (EFL) learners face a difficult problem in becoming proficient writers. Employing various methodologies and incorporating diverse exercises yield distinct effects on writing proficiency. The objective of this study was to examine the influence of cloze-elide and grammaticality judgment tasks on the paragraph writing proficiency of Iranian intermediate EFL learners. In order to achieve this objective, a total of 90 intermediate EFL learners who were enrolled in a private language institute in Guilan province were chosen using the availability sampling method. These learners were then divided into three groups. Initially, OPT served as the placement test. Subsequently, a preliminary assessment of writing skills was conducted among all research groups. Subsequently, experimental group 1 underwent 10 sessions of English paragraph writing using cloze-elide tasks, experimental group 2 underwent 10 sessions of English paragraph writing using grammaticality judgment tasks, and the control group received a placebo in the form of English paragraph writing using the existing method. Finally, a posttest of writing was given to the three groups in the study. The findings of a repeated-measures two-way ANOVA indicate that introducing a new task, either cloze-elide or grammaticality judgment, can enhance the performance of EFL learners in paragraph writing abilities.