درخت حوزه‌های تخصصی

This study is aimed at investigating the effect of reading-based vs. discussion-based pre-writing activities on the writing ability of Iranian EFL learners. To this end, a quasi-experimental study was conducted with 40 Iranian intermediate EFL learners within16 to 20 age range who were selected based on their performance on an Oxford Solution Proficiency Test. They were divided into two experimental groups: Reading Group and Discussion Group. The former group was made to involve in some reading activity prior to doing the main writing task, and the latter group was made to participate in a discussion activity before the main writing task. After the treatment for 10 sessions, both groups were post-tested. The findings indicated that both groups’ writing ability improved over the course of the study, but the difference between the performances of the groups on the post-test was not statistically significant, although the Reading group’s mean score was greater than the Discussion group. The results of this study have some implications for students, language teachers, syllabus designers and material developers.

The current study aimed to explore the effectiveness of a process based reflective teacher training course that utilized situational role plays, video analysis, and scenario evidence as guided reflective and caring practices for EFL (English as a Foreign Language) teacher candidates. To this end, 45 teacher candidates at a teacher education university in Iran participated in a semi-structured interview (pre-intervention and post-intervention interview) and created process-oriented narrative journals documenting their reflective and caring practices. The findings of the study indicated that all the three groups of participants (role play group, scenario-based evidence group, and video evidence group) benefitted from the course and demonstrated improvement in various ways. The emerged themes from each group (role play group: 23 categories, video group: 17 categories, and scenario-based evidence group: 16 categories) illustrated how these strategies supported teacher candidates in developing their caring and reflective practices.

Writing skill is a challenging and frequently-used activity in academic circles. This study investigated the effects of reflective writing on EFL learners’ writing performance. The participants were 61 Iranian EFL learners from two intact university classes randomly assigned to the non-reflective (n=31) and reflective (n=30) groups. Over sixteen sessions of instructions over eight weeks, the non-reflective group was taught using the traditional writing method; however, the reflective group was exposed to reflective writing instruction under Kolb’s Model. The data were collected through reflective writing compositions and the content analysis of think-aloud protocols. The quantitative data analysis revealed that the reflective group significantly outperformed the non-reflective group in writing compositions. The thematic analysis of think-aloud protocols substantiated the quantitative data findings, indicating that all participants went through the cognitive psychological processes of ‘planning, drafting, pausing and thinking, reading and reproducing, reviewing, editing and revising’ as they were engaged in reflective writing via Kolb’s Experiential Learning Cycle. The results offer significant implications for language instructors, curriculum planners, and course designers.

This paper discusses the use of Persian in comparison with Dari, a dialect of Persian language used in Kerman, one of the cities of Kerman Province located in southeast Iran. It is based on a random selection of 47 subjects from different sex, age, and occupational groups of Zoroastrian people with different levels of education in seven domains, i.e. family, friendship, neighborhood, transaction, education, government, and employment. In this study, the subjects were asked to determine which language they use in different domains on Likert’s 4-point scale. After collecting the data by the use of a questionnaire with 30 situations in the seven domains and analyzing them, the researcher concluded that there is a Persian-Dari diglossia in Zoroastrian speech community in which Dari functions as the Low language whereas Persian is the High one. As a matter of fact, Dari has been restricted to family domain and the young generation has lost it to a large extent.

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.     

A bulk of research has revealed that emotions play a crucial role in different aspects of second/foreign language (L2) education. However, the emotions that English as a foreign language (EFL) students experience during assessment have been neglected, so far. Against this backdrop, this qualitative study intended to unveil the typologies, antecedents, and outcomes of assessment-related emotions of 24 Iranian EFL undergraduate students studying applied linguistics. To this end, a semi-structured interview and a narrative frame were employed. The results of the thematic analysis demonstrated that undergraduate EFL students experienced different positive and negative emotions before, during, and after assessment practices at the university. Furthermore, it was found that “teacher”, “tasks”, and “textbook” were the most frequent causes of the participants’ perceived emotions in assessment. Concerning the outcomes of assessment-induced emotions, the results demonstrated that “burnout”, “frustration”, “demotivation”, “stress”, and “self-doubt” were the most frequent negative outcomes, while “motivation”, “learning”, “pride”, and “excitement” were repeatedly posited as positive outcomes. Finally, the study enumerates some implications for L2 educators and researchers concerning the role of emotions in assessment processes and practices.

To date, with the everyday growth of technology and the increase of online classes, busy modern teachers seek to lighten their burdens and boost their learners’ autonomy. Thus, this multi-method action research aimed to probe the differences between receiving computer-generated and direct corrective feedback (CF) on the syntactic accuracy and complexity of female adolescent Iranian EFL learners’ writing. Two intact classes took part in the study; one group (Group C) received CF from an AWE (Automated Writing Evaluation) tool, called Ginger software, and the other group (Group T) received CF from their teacher. Subject-verb agreement and verb form errors were considered to measure the syntactic accuracy while the average sentence length and verb form variation were regarded as the syntactic complexity. Moreover, via a questionnaire, the students’ perceptions of the kind of CF they had received were taken into account to see which one was more effective. Findings obtained from MANOVA revealed that both groups made significant improvements regarding syntactic accuracy. Group C produced more complex outputs after being exposed to the treatment while Group T didn’t make such progress. The results obtained from the questionnaire also indicated that both groups found the CF satisfactory. However, Group C held more positive attitudes. Not only was the Ginger application effective in decreasing the number of students’ writing errors but also it motivated them to be better writers and write more. The study further points to the likely merits of technology-enhanced feedback in improving EFL learners' writing ability in general, and their written syntactic accuracy/complexity in particular.

Since 2010, deep learning has been further developed, and the concept of multi-modality has penetrated into all walks of life. However, it has not been fully researched and applied in college English teaching, so this study modeled and practiced the multimodal teaching method of college English under the deep learning mode and its application. The definitions of modality and medium are first introduced, and then the definition of multimodality in this study is clarified. Then the classification of multimodal transport is expounded. The random forest algorithm is chosen as the main algorithm of this research, and a dynamic multimodal model is established. After that, there was a collaboration with a university and sophomore students were selected for practice. After processing and analyzing the collected data, it was found that in the data sample of 268 students, the number of students who did not study independently accounted for 24%, which indicates that most college students lack interest in learning English. Preliminary tests were also conducted on students' English proficiency throughout the year, and the results showed that the students' English proficiency was at a pass level and the overall English proficiency was weak. Reassessment of students' English proficiency showed that the actual teaching effect of each English proficiency was greater than 85%, and the effectiveness of English teaching in the selected universities was significantly improved. The average score improved by 8 points, indicating that multimodal teaching is scientifically effective After a semester of multimodal teaching, the English teaching effectiveness of the university selected in this article has significantly improved. The research results indicate that the development of deep computer learning has introduced multimodal concepts into the teaching field, which is very suitable for assisting language learning based on its own advantages. After a semester of multimodal teaching, the English teaching effectiveness of the university selected in this article has significantly improved. The research results indicate that the development of deep computer learning has introduced multimodal concepts into the teaching field, which is very suitable for assisting language learning based on its own advantages.