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Nous nous intéressons dans cette recherche à la portée de l’effet modérateur de l’intelligence émotionnelle dans la relation de l’intelligence multiple avec l’apprentissage du FLE. Nous nous occupons, en particulier, de la façon dont cette intelligence affecte le processus d’apprentissage en gérant les émotions des apprenants et leur motivation à apprendre. En nous appuyant sur le modèle de l’intelligence multiple de Gardner (1997) ainsi que les théories de Goleman (2000) concernant l'intelligence émotionnelle, nous nous proposons comme hypothèse que l’intelligence émotionnelle pourrait modifier l’impact des composantes de l’intelligence multiple sur l’apprentissage du français. Notre objectif est donc d'abord de mesurer le niveau de l'importance des intelligences multiples dans l'apprentissage du français et puis d'étudier la façon dont l’intelligence émotionnelle soutient ces dernières dans leur tâche. Une enquête de nature descriptive où la collecte des données suivait la méthodologie du sondage était menée au sein d'une université iranienne. Elle nous a permis d'affirmer que les intelligences interpersonnelle, visuelle-spatiale et musicale des apprenants iraniens du FLE contribuent à un meilleur apprentissage.

The present descriptive study aimed at investigating the human and machine Persian translations of The Kite Runner by Khalid Hosseini, and comparing the applied translation strategies in the translated texts for culture-specific items (CSI). To this end, based on Newmark’s (1988) category, the applied strategies were identified in the two translations and compared. The obtained results showed that Naturalization and Transposition strategies were the most frequently-used strategies by both human translators and machine translation. The results also showed that machine translation could not present a comprehensible translation due to overuse of these strategies (75%). It was further revealed that the spirit of the original text was not lost in the translated versions due to the closeness of Iranian and Afghan cultures. In fact, the translated versions kept the real beauty and creativity of the original work. However, the remorseful theme of the source text was kept intact to a great extent in the human translation of the novel, while machine translation lost it. Thus, the general impression is that culture-specific terms make it difficult for the machine translation to achieve complete word-for-word and semantic equivalence, and that the human translator must have a broad knowledge of the literature and traditions of both the source and target languages.

This study intended to explore Iranian EFL teachers’ life satisfaction as well as their empathy levels. Furthermore, the relationship between Iranian EFL teacher’s life satisfaction and their empathy was investigated. To achieve these objectives, a group of 245 male and female Iranian EFL teachers with the age range of 20 to 55 years old participated. Data were collected through Life Satisfaction and Empathy Questionnaires. Results revealed that EFL teachers were satisfied with their life and were empathic teachers. Moreover, a significant relationship was found between these two variables. The main conclusion is that life satisfaction can have positive impacts on certain aspects of life; hence, it is recommended that proper conditions be provided for the EFL teachers. Additionally, having empathy with students may create happiness in both students and the teacher. Such happiness can presumably make the student bear a positive perspective towards language learning, thereby making them more motivated to learn English.    

The present study explored the effects of three forms of reading-based L2 vocabulary tasks on learning and retention of 40 target words by Iranian intermediate and advanced male English as a Foreign Language (EFL) learners. To this end, 176 EFL learners were randomly selected and assigned to three experimental and one control condition across two levels of intermediate and advanced proficiency levels. The participants in the experimental conditions read 8 texts including 40 target words and performed word-focused (WF) tasks, oral reproduction (OR) plus summary writing (SW) tasks, and WF plus OR vocabulary tasks incorporating target words according to their task designation. The results of two-way MANOVA and Scheffe’s post-hoc test demonstrated that while all three experimental conditions significantly outperformed the control group in terms of learning and retention of target words, the WF plus OR task was found to be the most effective condition. The results are justified in light of Laufer and Hulstjin’s (2001) Involvement Load Hypothesis, Nation and Webb’s (2011) Technique Feature Analysis, the Skill Acquisition Theory, and Swain’s (1985) Output Hypothesis. The study concluded with pedagogical implications for language teachers and materials developers with regard to including both word-focused and meaning-oriented L2 vocabulary tasks in language classes and language textbooks.

Given the significance and problematic nature of speaking in EFL instruction as well as lack of orthodoxy of views on acceptance or rejection of language learning transferability, this study proposed an inventive model to teaching thinking via questioning as a way to trigger speaking. It compromises six components, and organizes a rich interactive teaching/learning environment to gauge its usefulness in the development of EFL learners' oral skill as well as its inter-domain transferability effects. To this end, we compared the performance of 60 participants on pre-post-treatment oral narrative tasks over thirteen treatment sessions with a time allocation of 45 minutes for each session: One group with isolated questioning instruction and the other with integrated one. The results of independent samples t-test indicated that instructional treatment assisted the experimental group participants to outperform the control group learners solely in terms of measures of lexical and grammatical complexity. It is also suggested that the merits of questioning intervention transfer to learners' performance on a delayed task in a new social domain. As proposed, implementing the integrated approach of HOQs assisted EFL learners to successfully accomplish demanding oral tasks initially in academic setting and in later delayed novel transcontextual settings.

The main purpose of this study was to explore the relationship between EFL teachers’ self-regulatory trait and effective teaching. Furthermore, the study aimed to find out the relationship between EFL teachers’ self-regulatory trait with some demographics such as gender and years of teaching experience. The participants were 85 EFL male and female teachers between the age ranges of 27 to 52. In addition, 200 male and female high school students between the age ranges of 15 to 17 participated in this study. Self-regulatory trait of the teachers was explored through Teacher Self-regulation Scale (TSR) questionnaire and the qualities of successful Iranian EFL teachers were explored through Qualities of Successful Iranian EFL Teachers’ Questionnaire (QSIET). Empirical analysis revealed that no significant relationship existed between teachers' gender and their self-regulatory trait. However, a significant relationship was found between teachers' self-regulatory trait and years of teaching. The implications of this study can be practical and useful for EFL teachers, who eagerly try to improve their teaching qualifications as well as teacher-training courses. The findings can be also helpful for language teaching designers to design proper syllabuses and materials for language teaching.

Although Diagnostic Classification Models (DCMs) were introduced to education system decades ago, it seems that these models were not employed for the original aims upon which they had been designed. Using DCMs has been mostly common in analyzing large-scale non-diagnostic tests and these models have been rarely used in developing Cognitive Diagnostic Assessment (CDA) from scratch. Despite the prevalence of retrofitting CDA studies, true applications of CDA are believed to be rare since, firstly, a coherent framework to conduct such studies had not been available and, secondly, researchers were not able to analyze various DCMs according to the same model fit indices and criteria. This paper presents a summary of different types of DCMs and reviews true and retrofitting CDA studies. Having examined the limitations of previous CDA studies, the present study argues for the implication and application of Ravand and Baghaei’s (2019) framework to conduct true CDA studies. This framework is of importance since not only does it fit into prominent frameworks in education assessment such as Cognitive Design System and Assessment Triangle, but also it can provide test-developers with practical steps in conducting valid cognitive diagnostic tests.

The present study aims at scrutinizing the inference complexity level (henceforth ICL) of test items of the Iranian State University TEFL Ph.D. entrance exam (ISUTPEE) from 2010 to 2017 through the lens of Kintsch's construction-integration theory (C-I) (Kintsch, 1988, 1998). Though there is ample research on inferencing in the field of reading comprehension, the existing literature reveals a serious gap in relation to inferencing complexity of test items in high-stakes exams that exert profound effects on the academic achievements of the individuals. Inferencing is examined in this study to explore the ICL of the test items of the Special Knowledge Test (SKT) according to three levels of memory representations of Kintsch's model: the surface model, the textbase, and the situation model. To this end, the test items for eight consecutive years of the ISUTPEE were examined in relation to the three distinct kinds of mental representations. To ensure the reliability of coding by the researchers, two other specialist coders assessed the ICL of 33% of the items. The intraclass correlation among the three sets of codes was 0.91. The results of the study showed that a large number of questions, accounting for more than 80% of the items, merely activate the surface and the textbase model of information representations in memory. Furthermore, the ICL for each of the four parts of SKT was examined. This analytical study carries a stark warning regarding a deficiency of systematic attention to ICL in the development of test items.

EFL learners’ ability to use advanced and varied vocabulary is a crucial issue in writing performance. This study aimed to investigate the effect of writing task type on lexical diversity and sophistication. The relationship between lexical sophistication and lexical diversity in the narrative, argumentative, and descriptive task types written by upper-intermediate EFL learners was also explored. To this end, 70 EFL upper -intermediate learners, enrolled in advanced writing tasks, were selected as the participants. They undertook narrative, descriptive, and argumentative writing tasks in a counterbalanced way. Then, Vocabulary Diversity (Voc-D) and Measure of Textual Lexical Diversity (MTLD) were used to measure lexical diversity. Lexical sophistication was measured using CELEX log frequency and Beyond 2000 Words (K3+). The writings were pasted into Coh-Metrix measure MTLD, Voc-D, and CELEX. VocabProfiler was also used to measure K3+ of the writings. In lieu of the purposes of the study, the research design involved repeated measures and correlation. Using Multivariate Analysis of Variance and Pearson’s Correlation Coefficient, the findings revealed that lexical diversity varied significantly across the three writing tasks. The highest scores of MTLD and Voc-D belonged to the narrative, argumentative, and descriptive writing tasks, respectively. Moreover, EFL learners used more advanced words in argumentative task type according to the measurement of CELEX and K3+ level words. However, learners' lexical sophistication in narrative and descriptive writings did not emerge as significantly different when measured by K3+. The significant positive relationship between lexical sophistication and lexical diversity was evident in all three task types.