Abstract This study investigated Iranian EFL instructor evaluation scheme from end-users’ perspective: self-evaluation vs. students’ ratings. To do so, in the second semester of 2015-2016, 60 instructors and 1000 students of English Department of Islamic Azad University Isfahan (Khorasgan) Branch, )IAUIB(, were selected as those from whom the corpus of the study was extracted. The corpus was provided by administrating two rating scales online via the university website on each person’s profile. Then the results of their completed evaluation rating scales were compared. The study was accomplished through a non-experimental descriptive correlational design. The results revealed that almost no relationship was found between Iranian EFL instructors’ self-evaluation and those done by their students at IAUIB. This study could benefit Iranian educationalists, policy makers, and evaluators in making informed pedagogical decisions and conducting more efficient teacher evaluation in English education of Iran. پرونده مقاله

Languages as living and dynamic structured systems were influenced at the very first moments of the COVID-19 pandemic as they became medicalized by the use and practice of various jargons and technical terms. Meanwhile, homebound individuals around the world started to create a COVID-19 pandemic-related lexical-overload of neologisms (Coroneologisms or Corona coinages) in different languages which started to spread across the globe by mass media, and some of them even entered the official databases of the well-known dictionaries and Wikipedia corpora. This study was a scrutinized attempt to explore the English vs. Persian (Farsi) Coroneologisms across various Extensible Markup Language (XML) corpora and a huge body of E-resource discourses (websites, social media, and news channels and forums) based on embedded mixed-method design to provide a comprehensive insight into their types, structures, and meanings. To provide a better understanding of how and why particular Coroneologisms were created in terms of social, cultural, or political contributing factors, they were investigated based on the reflections of a series of sociolinguistic focus-group E-interviews with 184 volunteer English and Persian native speakers. This study might provide implications for sociolinguistics, corpus-based language studies, lexicographers, designers of corpora, etymologists, and discourse analysts in English and Persian. پرونده مقاله

The purpose of this study was to investigate the probable effects of E-Mind Maps on the prevailing Language Learning Strategy Choices of adolescent versus adult Iranian EFL learners (LLSC). Besides, their preferred strategies were investigated across each dominant LLSC for some volunteer participants through structured interviews. According to a mixed-method design, 76 available Iranian adolescent and adult EFL learners, both male and female, were randomly divided into four equal groups of experimental and control ones. Strategy Inventory for Language Learning (SILL) was conducted for all participants in the pre-and post-intervention phases, followed by a structured interview in just the post-intervention phase in the qualitative phase. The intervention presented the teaching content through E-Mind Maps vs. the conventional way of teaching for 20 sessions. The data were analyzed using descriptive and Chi-Square statistics. The results confirmed that using E-Mind Maps shifted the dominant LLSC of adolescent and adult EFL learners to memory and cognitive strategies. Moreover, preferred strategies across each dominant LLSC were discussed in detail for both groups. The conclusion can provide critical implications for English language teaching, learning, and educational technology in using E-Mind Maps as an effective strategy in EFL classrooms. پرونده مقاله

Abstract This study evaluated the translation quality of English equivalents of Persian proper nouns in the tourist signs and bilingual boards in Isfahan. To find different errors in the translations of the bilingual boards and tourist signs, the data were collected directly by taking picture or writing exactly from the available tourist signs and bilingual boards. Then, the errors were assessed by Multilingual eLearning in Language Engineerin (MeLLANGE) translation error typology, a model for evaluating and marking the errors of a project by Leonardo da Vinci center of education and culture in the University of Paris. The findings revealed that the most frequent errors in Persian-English translation were related to errors of incorrect cases in full upper cases, errors of transferring the content by source language intrusion in the un-translated translatable cases and errors related to the syntax of language. As a conclusion, using expert and knowledgeable translators, applying a consistent method, and employing a comprehensive and standard system can be effective to reduce such errors. پرونده مقاله