درخت حوزه‌های تخصصی

Engagement and interaction have recently been considered practical activities essentially in educational settings. Due to the importance of this notion, this research paper reviewed the qualitative study aimed to find out the evaluation of Iranian EFL students’ emotional attitudes and perceptions towards interactive tasks on self-monitoring, self-regulation, and willingness to communicate in learning. Accordingly, the study as personality assessment developed the semi-structured interviews with 40 students in an experimental group and 40 students in a control group to explore students’ motivational beliefs and their attitudes towards interactive tasks influencing their performance in learning and assisting them to communicate successfully. Based on the attitudinal analysis as the results of this study, using the Transcribed Interview Sample with coding (an extract) clearly identified that students with interactive tasks mainly outperformed those with regular instruction. Furthermore, the findings of the research indicated that students’ achievement was improved in terms of their motivation, autonomy, and empowerment as contributed to their learning. However, this study revealed that teachers could increase the academically collaborative talk as well as social-emotional behavior of students in their teaching and learning environments to share feeling safe, taking risks, and enjoy constructive effects.

The world of foreign language education has been immensely influenced by the glory of emergent machine translation (MT) technologies including Google Translate (GT) (Knowles, 2022). Considering that end users' perceptions reflect GT practicality, ample research has been conducted regarding language learners’ perceptions on GT use. Yet, investigating Iranian student teachers' perceptions on the use of GT as an ICALL tool for language learning in higher education has been underestimated. To bridge this gap, semi-structured interviews with twelve student teachers, who were selected through purposive convenience sampling, were conducted employing qualitative constructivist grounded theory methodology. Data were analyzed based on the grounded theory data coding principles (open, axial, and selective) using the MAXQDA 2020 software. A model of GT use in language learning, entitled ‘Google Translate-Assisted Language Learning (GTALL) was proposed. The three main categories (i.e. GT familiarity and use, Perceptions, and legitimacy) along with 35 sub-categories at two levels supported our core category ‘implementation of GT in language learning’. The results demonstrated considerable pedagogical implications for educational stakeholders. For administrators, to appreciate contemporary pedagogical transformations to fulfill new generation’s needs. For professors, to improve digital literacy, welcome emergent technologies, and bring them into their learners’ service for greater educational achievements, and for language learners, to develop technological skills that guarantee wise and efficient human-machine interactions.

Measurement disturbances refer to any conditions that affect the measurement of some psychological latent variables, which result in an inaccurate interpretation of item or person estimates derived from a measurement model. Measurement disturbances are mainly attributed to the characteristics of the person, the properties of the items, and the interaction between the characteristics of the person and the features of the items. Although numerous researchers have detected measurement disturbances in different contexts, too little attention has been devoted to exploring measurement disturbances within the context of language testing and assessment, especially using graphical displays. This study aimed to show the utility of graphical displays, which surpass numeric values of infit and outfit statistics given by the Rasch model, to explore measurement disturbances in a listening comprehension test. Results of the study showed two types of outcomes for examining graphical displays and their corresponding numeric fit values: congruent and incongruent associations. It turned out that graphical displays can provide diagnostic information about the performance of test items which might not be captured through numeric values.

Attention has been drawn to recent, expanding studies on Second Language (L2) online programs and problems with people with learning difficulties, including Attention Deficit Hyperactivity Disorder (ADHD). This group of learners suffers from feelings of detachment and low self-confidence due to their lack of Willingness to Communicate (WTC) in an online classroom. Thus, the current quasi-experimental study explored the impact of a supplementary intervention targeted at helping learners create, substantiate, and live up to their ideal L2 self-images on multivariate components of ADHD learners' WTC in online English classes. For this purpose, 29 Iranian ADHD learners selected through convenience sampling were divided into two equivalent groups based on their ADHD levels. The groups were then randomly assigned to an experimental (N = 15) and a control condition (N = 14). In the experimental group, the vision ignition intervention was integrated into a 10-week online English course, whereas the control group's learners received no vision-enhancement intervention throughout the course. The learners' WTC was measured through a standard psychometric survey at the outset and conclusion of the course. Multivariable Analysis of Covariance (MANCOVA) was conducted to determine whether a linear combination of the subcomponents resulted in significant differences between groups. Along with an overall significant between-group difference in WTC, the results revealed the intervention's significant impact on WTC's two subcomponents: communicative self-confidence and integrative orientation.

Second language (L2) researchers often rely on quantitative methods and measurement instruments like questionnaires and scales to explore latent constructs. They usually borrow sophisticated statistical techniques from disciplines like psychology and education to conduct quantitative analyses in L2 research. However, there are growing concerns about the inappropriate use and reporting practices of such statistical procedures like exploratory factor analysis (EFA). This study aimed to describe and evaluate the methodological issues in EFA research practices, examine the relationship between study features and outcomes, and improve future L2 research practices. This study presented the results of a methodological synthesis study on exploratory factor analysis use published in five universally reputable psychology-related journals since 2000. Specifically, the researchers identified 93 EFA studies and developed a coding scheme of key EFA considerations to analyze how EFA was used and reported in these articles. The article discussed the several results and provides essential recommendations for L2 researchers intending to employ EFA in their works.

Test de Connaissance du Français (TCF), a French knowledge test for any non-native speakers of French, is an official language exam for the certificate of proficiency in French designed by France Éducation international (FIE) and accredited by le Ministère Français de l’Éducation Nationale, de la Jeunesse et des Sports (French Ministry of National Education, Youth and Sports). To meet the need triggered by American TOEFL and British IELTS, TCF was created in 2001 by FIE (formerly Centre International d'études Pédagogiques) and has been administrated in more than 120 countries by more than 700 centers around the world and has served for more than 2,000,000 candidates by the year 2022 for personal, academic or professional purposes (France Éducation International, n.d.). The increasing number of French learners worldwide and the growth of popularity French enjoyed give rise to the need of more reviews of test fairness and usefulness on recognized French competence tests such as TCF. However, unlike the large number of assessment practices focusing on English language testing, only a few studies available show awareness about the assessment on world languages other than English. With the hope to enrich the body of research in the field of language testing and to expand the scope of assessment on world languages, this review aims at examining the overall usefulness and fairness of TCF using Kunnan’s (2018) most recent theoretical framework of test fairness and justice. As a result, our review shows that TCF test developers have made great efforts on addressing core issues of validity, reliability, and authenticity, while there might be room for improvement to provide more meaningful and useful information to all stakeholders.

The study scrutinized the probable significant relationship between Emotional Intelligence (EI) and Translation Competence (TC) in the Iranian students of Translation Studies. The first stage of the study followed a conventional statistical approach, in which the significant relationship between the variables as well as the predicting role of emotional intelligence for translation competence of the participants was examined through Pearson correlation and linear regression analyses. Two questionnaires of emotional competence, derived from Bar-On (1997), and translation competence, derived from Alavi and Ghaemi (2013), were utilized in the study. The findings of the initial phase revealed the significant relationship between the participants’ emotional intelligence and translation competence. In the second stage, modeling approach was employed to probe the relation between emotional intelligence and translation competence through structural equation modeling, using LISREL. The results demonstrated a significant relationship between EI and TC, justifying the results of the first non-modeling stage. The findings are of significance as the association between translation competence and emotional intelligence has been scarcely explored. Moreover, the relation between two variables was deeply explored through using non-modeling as well as modeling approach, adding the novelty of research. The results reflected that emotional intelligence plays a significant role in predicting the language learners’ translation competence. The results have some implications for language teaching. Language teachers can promote language learners’ emotional intelligence to reach successful learning outcomes. Through using useful techniques such as discussion, group-work activities, answering questionnaires, the learners' emotional intelligence can be significantly improved, leading to effective translation achievement.

Classrooms can be regarded as dynamic systems in which behaviors of teachers and students affect each other mutually and in a spiral manner. In this study it was intended to investigate differences in interpersonal behaviors of a more vs. a less favorable teacher at micro- and macro-levels. To analyze classroom interaction dynamically and in real-time, State Space Grid technique was applied. On the macro-level, teacher profiles were determined based on vector method. 211 students of six classes rated the behavior of their own teacher and an imaginary ideal one. One teacher who was closest to and one farthest from that ideal were identified and their classes were video-taped. Two raters coded behaviors with a joystick and then content and structure of interaction were analyzed. Differences on the micro-level were especially noticeable in the strength of attractors, not in their position. Structurally, the behavior of the more favorable teacher had higher variability and less predictability. On the macro-level, the more favorable teacher had Authoritative, and the less favorable one had Directive profiles. The results of this study can be used in promoting interactive ground of the class and in teacher education programs.