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This research aimed to explore the impact of administering Nicenet as one of the virtual learning environments (VLE)'s on linguistic use and grammar instruction in writing. The design of the research was quasi-experimental method having a pre-test and a post-test. The participants were chosen through the convenience sampling strategy and were assigned randomly into experimental and control groups (female = 21, male = 21) and control (female = 21, male = 21). The participants were chosen concerning their performance on the Oxford Placement Test (OPT) and were homogenized accordingly. The outcome of Mann-Whitney, depicted that there was a statistically significant variation between the accomplishments mean scores of the learners of the experimental group who learned the grammar through computer and the control group who studied the same syntactic item utilizing the traditional strategy. The results demonstrated that computer as a tool and Nicenet as an application can help students to increase their grammar learning. The findings also showed that acquiring grammar point using Nicenet can be effective in improving learners’ grammar scores for both male and female learners, equally. This implies that both teachers and material developers can rely on computer software as the main platform for teaching grammar or the supplementary source of teaching grammar to EFL learners. Using established platforms such as Nicenet can even make the process of material development and instruction easier for teachers since they can provide more customized materials.

Corrective feedback has been evidenced to be a propitious pedagogical tool to promote second language (L2) knowledge, yet little is known about the role of interactional feedback in maximizing L2 learners’ pragmatic knowledge and their reciprocity patterns to corrective feedback in teacher-student interactions. Therefore, the current study made an attempt to bridge this gap. To do so, twenty (11 male and nine female) intermediate English as a foreign language (EFL) participant with an age range of 19 to 31 were recruited and were provided with recast for their inappropriate request strategies. The participants were assigned to perform requests in various scenarios that varied in terms of power, familiarity, and social distance. To gauge their performance, a pretest and posttest Discourse Completion Test (DCT) was run. The obtained data gave evidence to the efficiency of recast in improving L2 pragmatics. Moreover, classroom interactions were recorded and transcribed to identify the emerging reciprocity patterns. The findings revealed several reciprocity patterns, including repetition of trigger, modification of trigger, acknowledgement, topic continuation, and inability to respond. The findings have implications for L2 teachers and augment our understandings of the role of recast in L2 pragmatics and reciprocity patterns of students.

Thanks to the significant achievements in Artificial Intelligence (AI), Machine Translation (MT), in general, and Google Translate (GT), in particular, have been extensively used in all facets of life, including language learning. However, faced with a plethora of research evidence on GT’s educational contributions, erroneous translations create disparity regarding its use in language learning. To address this lacuna, the present study systematically reviewed 10 databases, namely, Web of Science, Scopus, ERIC, ScienceDirect, Taylor & Francis Online, Wiley Online Library, SAGE Journals, Springer Link, Springer Open, and DOAJ. Additionally, it hand searched the reference lists of 44 studies selected to be included in the synthesis from database search along with references cited in three previous systematic reviews on similar topics to capture a comprehensive view of the literature related to the use of GT in language learning between 2010-2021. It reviewed 50 studies witnessing a rise in the number of studies in this area. Studies reported that although significant improvements in the quality of GT led to pedagogical gains and more tendency to implement it in language learning, instructors still distrust it. Accordingly, this research provides pedagogical implications and suggests avenues for future research on the use of GT in language learning.     

The book Practical Language Testing, authored by Glenn Fulcher (2010), is an epitome of comprehensive and detailed documentation on the relevance of the appropriate techniques, knowledge, and conceptual frameworks required to interpret and develop language assessments. It is also a systematic, helpful reference for researchers and educators that address assessment selection and design concerns, offering instructors guidance on picking the proper test for a particular educational setting and assisting in interpreting the scores generated by such tests. The book lays the groundwork for instructors to establish a thoughtful awareness of test scenarios to furnish the most efficient language assessment for their learners. The book's language is highly lucid and user-friendly to both experts and novices. The book finds an appropriate amalgamation between practical applications and theoretical underpinnings to empower practitioners in comprehending the objectives of effective assessment and its function in facilitating good learning and teaching. On account of the fact that the referenced book has the potential to make a substantial contribution and have significant implications for teachers, test designers, and other stakeholders, the current article attempts to provide a review of the book and emphasize the critical concepts in each chapter.

Cognitive diagnostic models (CDMs) have received much interest within the field of language testing over the last decade due to their great potential to provide diagnostic feedback to all stakeholders and ultimately improve language teaching and learning. A large number of studies have demonstrated the application of CDMs on advanced large-scale English proficiency exams, such as IELTS, TOEFL, MELAB, and ECPE. However, too little attention has been paid to the utility of CDMs on elementary and intermediate high-stakes English exams. The current study aims to diagnose the reading ability of test takers in the B1 Preliminary test, previously known as the Preliminary English Test (PET), using the generalized deterministic input, noisy, “and” gate (G-DINA; de la Torre, 2011) model. The G-DINA is a general and saturated model which allows attributes to combine in both compensatory and non-compensatory relationships and each item to select the best model. To achieve the purpose of the study, an initial Q-matrix based on the theory of reading comprehension and the consensus of content experts was constructed and validated. Item responses of 435 test takers to the reading comprehension section of the PET were analyzed using the “G-DINA” package in R. The results of attribute profiles suggested that lexico-grammatical knowledge is the most difficult attribute, and making an inference is the easiest one.

It is assumed that web-based dynamic assessment will continue to thrive and have a profound role in pedagogy. In this regard, explanatory sequential mixed-methods design was selected to consider the effect of web-based dynamic assessment on learners' autonomy. To this end, a sample of 60 male EFL learners at high school were chosen at non-random and categorized into two groups of web-based dynamic assessment and the control group based on the convenience sampling method. the learners’ autonomy questionnaire was used as a data gathering tool for pretest and posttest in autonomy. The high school students exposed to web-based DA via a designed web based on the level and requirements of the students in grammar, however, the learners in the control group learned the grammar by the traditional or conventional method of instruction. Based on the results of Mann-Whitney U test, the learners’ autonomy means scores in web-based DA increased in comparison to those of the control group. The platform and methods employed in this study produce results that are encouraging for the field of language instruction and could produce motivational outcomes in the future. The pedagogical implications of the study

Résumé : En cette ère inédite du XXIème siècle, marquée et envahie par une mondialisation agissante et omniprésente, le statut de l’individu, de son identité et de sa culture sont des composantes majeures à repenser en matière de sciences humaines et plus particulièrement, en didactique des langues-cultures. Chose qui, par intransigeance, nous amène à examiner de près, les différentes approches culturelles/identitaires que chaque sujet-lecteur manifeste distinctement en classe d’enseignement-apprentissage du FLE ; lieu par excellence où, le texte littéraire est fortement exploité. De ce fait, à travers cette étude, nous allons mettre en relief une compétence culturelle nouvelle qui, singulière, se formule chez nos sujets-lecteurs-mondialisés –citoyens du monde– que nous qualifierons de « compétence transculturelle ». De surcroît, réalisée dans divers champs culturels, notre travail de recherche a comme principale visée d’observer cette composante culturelle contingente qui se déploie formellement dans nos classes et que, jusqu’à présent, les textes officiels n’ont pas su mettre en exergue.

Au cours de l'histoire, notamment du XVIe jusqu’au XVIIIe siècle, lorsque le voyage des Européens, des prêtres aux écrivains et commerçants, vers la Perse, a connu une forte croissance, l’Arménie a trouvé également une place dans l’itinéraire de ces voyageurs . Toutefois, le nombre des Français passant par l’Arménie ne paraît point significatif par rapport au nombre total des voyageurs européens qui arrivaient en Iran. Cet article se propose d'examiner la place de l'Arménie, à cette période, dans le choix de l’itinéraire entre l'Iran et l'Europe par les voyageurs français, et de répondre à la question suivante : pourquoi les Français ont rarement choisi cette route pour rejoindre l'Iran ? Il semble que plusieurs facteurs fondamentaux aient joué un rôle dans ce domaine. Outre la situation géographique de l'Arménie, ainsi que le rôle de l’Empire Ottoman veillant à maintenir sa position de supériorité dans la région et de contrôler l'afflux de touristes vers la Perse, le rôle de l'Église arménienne paraît déterminant. L’Arménie souhaitait en effet rester à l'écart de la concurrence des voisins puissants de l'Iran, à savoir la Russie et l’Empire ottoman, et d'autre part, elle voyait les objectifs religieux des Européens en conflit avec les siens.

English cartoons have become increasingly popular as a resource for language learners worldwide. While the literature has primarily focused on their impact on English language skills and sub-skills in EFL education, less attention has been given to their influence on cognitive and affective aspects such as emotion regulation and self-efficacy. This study employed a mixed-methods approach with a pre-test/post-test quasi-experimental design to explore the impact of watching English cartoons on the emotion regulation and self-efficacy of adolescent Iranian EFL learners. 120 Iranian learners, aged 12 to 18, were recruited from English institutes in Tehran and randomly assigned to either the experimental or control group. The experimental group watched two 30-minute episodes of selected American-produced animated cartoons per week for eight weeks, totaling 16 episodes, while the control group did not. The MANCOVA analysis revealed significant differences in self-efficacy and emotion regulation between the experimental and control groups, indicating that exposure to English cartoons positively influences learners' emotional responses and self-efficacy. Thematic analysis of the interview data highlighted positive evaluations of the experience, identifying five themes: enhancement of language skills, positive emotions leading to increased motivation, the prominence of comedy, contribution to sustained learning, and varying effects on self-efficacy. These findings hold valuable theoretical and practical implications for the field.

As conceptual models of language learning, use, and processing mature, it is both natural and necessary for the statistical models we apply to follow suit. One statistical approach with great potential in the field Applied Linguistics and L2 studies is structural equation modeling (SEM). SEM is introduced in this paper as a powerful and highly flexible family of analyses. In doing so, the paper outlines (a) the types of variables and possible modeled relationships that SEM is equipped to address and (b) statistical considerations for applying SEM in L2 research, and (c) a number of additional and key considerations for those interested in delving deeper into SEM (e.g., goodness of fit indices, model modification procedures, etc.). This paper also describes the potential of SEM to contribute to construct validation (e.g., convergent and discriminant validity). Throughout the paper, a plethora of examples pertaining to applications of SEM in L2 research are provided.