درخت حوزه‌های تخصصی

The present study aimed to analyze English as Foreign Language (EFL) teachers and students’ perceptions on learning effectiveness, negative factors, positive features, and future directions of virtual education. The data were collected through semi-structured interviews, open-ended questions, and journals. All the data were carefully studied and coded through MAXQDA (version 2020) software. The results indicated that poor internet connection along with low interaction between students and the teacher were the most frequently noted negative points of online classes. Accordingly, providing high-speed internet, supporting students, and having more interaction are the first essential elements in virtual education. Besides, flexibility, time-saving, and reduced cost considerations were considered the positive aspects of online classes. Regarding students’ learning performance, the results were of mixed nature. Providing training courses for teachers, using different materials during the class, and the most importantly having high-speed internet are some implications of this study.

A long-standing concern reverberating over the minds of intercultural scholars is how best to incorporate intercultural issues in English language teaching, an issue on which there has been little research in EFL contexts. To fill this gap, this qualitative study examined the efficacy of interculturally-laden tasks in promoting Iranian learners’ intercultural competency in Anzali, Guilan province, Iran. Thus, a group of 22 Iranian intermediate EFL learners were recruited through convenience sampling from a pool of 44 according to their score on Oxford Quick Placement Test. All the participants were 12 females and 10 males aged 21-30. Then, they attended eighteen sessions of intercultural training using Mirrors and Windows: An intercultural communication textbook and completed seven intercultural tasks as a pretest and posttest. Data was collected through seven intercultural tasks and reflective worksheets. Drawing on the qualitative content analysis of intercultural tasks, the findings revealed that the tasks could help the participants increase their intercultural competence. Moreover, three themes were emerged from the analysis of the reflective worksheets as follow: (1) the participants’ evaluation of the ICC course and intercultural tasks, (2) perceptions regarding intercultural development and (3) language skills and anxiety. The implications and suggestions for further research are discussed.

PhD examination is a unique type of assessment with examiners playing a key role in it. Despite extensive research on various modes of academic genre, research on the examiners’ language representing oral review genre is yet underrepresented. One important way to identify this genre is to unpack the metadiscursive features that constitute this type of academic discourse. Using a metadiscourse framework, developed by Hyland (2005), this study investigates the metadiscursive markers that constitute Iranian and International examiners’ language of PhD dissertation evaluation. The data include the transcriptions of Iranian and International examiners’ evaluative discourse in eight PhD dissertation defenses, taken place in Iran and the US (MICASE corpus), representing English for Academic Purposes. The results indicate that the examiners use a variety of interactional as well as interactive metadiscourse markers to convey the effective and appropriate evaluation of the PhD dissertations at hand. Further breakdown of the metadiscourse devices and the comparison of the two sets of data are provided. The results unpack an aspect of oral academic review as a specific genre with implications for both EAP-user examiners and PhD candidates to become aware of the discursive features of the examiners language.

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.

This study explores how professional and student writers manifest their authorial identities and project their gender voices in their academic texts. To this end, 38 male-authored and 38 female-authored articles published in seven leading international journals were selected. Moreover, 38 articles written by male students and 38 articles authored by female students were collected from two universities in Iran. Taking an academic writing course, these students handed in their papers as term projects. These academic writings were analyzed based on Hyland’s metadiscourse framework comprising two major resources: interactional and interactive metadiscourse resources. The findings indicated the male authors mainly attended to discourse organization using more interactive resources while the female authors mostly solicited solidarity by employing more interactional resources. The professional authors engaged in a more critical stance using self-mentions and attitude markers and the students focused on discourse organization. Attitude markers and self-mentions, as markers of stance-taking, were absent in the students’ writing. The professional authors made use of their gender identity to promote their authorial identity instead of suppressing it. These results suggest that EAP programs should inform students how to employ both metadiscourse resources and their gender-based discourse choices to express their authorial identity more effectively.

The present study investigates the efficacy of preparation time in four speaking tasks of TOEFL iBT. As the current pre-task planning time offered by ETS is very short, 15 to 30 seconds, we intended to explore how the test-takers’ speaking quality would change if the preparation time was added to the response time, giving the respondents a relatively longer online planning opportunity. To this aim, two groups of TOEFL iBT candidates were studied under pre-task and online planning conditions. Totally, 384 elicited speaking samples were first transcribed and then measured in terms of complexity, accuracy, and fluency (CAF). The results yielded by a series of One-way MANOVA revealed the online planning group significantly outperformed the pre-task planning group in terms of accuracy and fluency across all four speaking tasks. Although with less robustness, the online planners had significantly higher speech complexity represented by lexical diversity and left-embeddedness. The results obtained through this study may challenge the efficacy of the currently provided preparation time in TOEFL iBT speaking subsection.

The 5E Learning Cycle Model (Bybee, 1990) is an instructional design model which has roots in inquiry-based learning and constructivism and has received much support in non-EFL-related literature as a way to improve 21st-century skills, such as critical thinking and creativity, among students and to prepare them for an amazing occupational future. However, little work has been done on the model concerning English language students; hence, this study dealt with the effect of 5E-based online activities on English language students’ critical thinking and creativity. The study utilized a mixed method grounded theory method approach. A sample of 60 adult English language students studying in a pre-IELTS class at a private language academy took part in the study during a 12-session semester, in addition to an extra session at the beginning of the semester, in which they received instruction with regard to the platforms to be used, namely Easyclass and Nearpod. Student interviews and self-reflections, teacher interviews, self-reflections, and field notes were applied to extract qualitative data, and student self-assessment checklists were used to gain quantitative data. The analysis of the quantitative and qualitative data via an independent sample t-test, inductive thematic analysis, and grounded theory demonstrated that the employment of 5E-based online activities culminated in the improvement of EFL learners’ critical thinking and creativity. The findings have theoretical and practical implications not only for 21st-century language practitioners’ education and competencies but also for curriculum development.

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.     

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.

The documentation of test takers’ achievements has been accomplished through large-scale assessments to find general information about students’ language ability. To remove subjectivity, Cognitive Diagnostic Assessment (CDA) has recently played a crucial role in perceiving candidates’ latent attribute patterns to find multi-diagnostic information rather than single proficiency classification. However, there are some gaps in the literature about in detail investigation of test takers’ listening comprehension language ability in responding to placement test items of a public English language center. The present study aims to validate an English placement test at a language center through a retrofitting process. In an exploratory mixed-method design, 449 participants from the same language center, including 274 females and 175 males, were selected. The performance of randomly selected participants in a language center placement test was analyzed by applying the GDINA model from R-studio packages, to detect Differential Item Functioning (DIF). Results of the study revealed DIF in some items since there is some bias in test items. The implication of this study is to provide meaningful interpretations of respondents’ attributes and improve teaching and learning by finding the strengths and weaknesses of candidates. For this purpose, the findings derived from the result of the study can raise the awareness of test developers in preparing unbiased items for the placement test, and at the same time, assist test-takers to become more critical of their English language achievements. It is also helpful for materials developers to become aware of developing materials free from bias.

There has been a debate over the use of genre-based pedagogy to develop university students’ ability to create valued meaning in academic writing. Some researchers support an implicit genre-based instruction while others support an explicit genre-based instruction. However, few empirical studies move beyond this debate to investigate the effectiveness of genre-based approach to developing university students’ academic writing skills. Therefore, this study investigates the impact of genre-based pedagogy in developing MBA students’ ability to construe critical stance in their writing. The data consisted of 28219 words corpus of 40 essay assignments, collected pre-genre-based course and post-genre-based course. Using Hyland’ s (2005) model of intersubjective positioning and Martin and White’s (2005) theory of evaluation in discourse, the data were analyzed for the distribution of hedges, boosters, attitude markers, and disclaim markers through manual coding using UAM corpus tool. The results showed a significant decrease in the use of key linguistic resources that function to make a text informal. In addition, the results showed a less significant increase and a less significant decrease in the use of key linguistic resources that function to construe critical stance in academic writing. These results have implication for the use of genre-based pedagogy in developing students’ ability to create valued meaning in academic writing. They show the extent to which genre-based pedagogy, implemented at the beginning or during subject learning, impacts students’ academic writing skills.