درخت حوزه‌های تخصصی

Structural equation modeling (SEM), as a flexible and versatile multivariate statistical technique, has been growingly used since its introduction in the 1970s. This article presents a methodological synthesis of the characteristics of the use of SEM in L2 research by examining the reporting practices in light of the current SEM literature to eventually provide some empirically grounded recommendations for future research. A total of 722 instances of SEM found in 145 empirical reports published in 16 leading L2 journals across two periods of 1981-2008 and 2009-2020 were systematically reviewed. Each study was coded for a wide range of analytic and reporting practices. The results indicate that despite the growing popularity of SEM in L2 research, there was a wide variation and inconsistency in its uses and reports within and across the two periods in regard to the underlying assumptions, variables and models, model specification and estimation, and fit statistics. Drawing on the current SEM literature, we will discuss the findings and research implications for future use and reporting of SEM in L2 research.

Research to date has commonly suggested that meaning inferencing through concordance lines can facilitate vocabulary learning. This facilitative role, however, may be subject to mediation by the expanded contexts of the target vocabulary item in concordance and accurate meaning inferencing. Of these plausible factors, the length of the co-text of vocabulary items in concordance context remains under researched. The present study investigated how inferencing in the context of three varying concordance lengths (i.e., two complete sentences, one complete sentence, and a truncated sentence) affect EFL learners' accurate inferencing and vocabulary gain. To this end, 66 upper intermediate learners were assigned randomly into three groups and were asked to infer the meaning of 63 unknown words over seven sessions (nine words each session). For each unknown word, three examples in three different lengths were selected. Results indicated that two complete sentence co-text led to more accurate inferencing and vocabulary gain. The pedagogical implications of the findings are discussed

This study compared the use of lexical bundles in authentic spoken language data with those of two English learning textbooks developed for IELTS preparation courses in Iran. The aim was to see if the language chunks available in the said textbooks were representative of the real-life language for which learners need to prepare. To achieve this aim, firstly, a list of lexical bundles was compiled based on Michigan Corpus of Academic Spoken English (MICASE) and British Academic Spoken English (BASE). Further, the list was used as a reference tool to analyze the language data of two IELTS preparation books published and widely used in Iran. The results highlighted some considerable differences between MICASE and BASE with regard to the use of lexical bundles in terms of their frequency, structure, and function. Moreover, it was revealed that the books under investigation shared only a scarce number of similar lexical bundles with MICASE and BASE as a whole. Therefore, they failed to be representative of the authentic language that people use in real world. Finally, the implications of the study are discussed, and several practical suggestions are made in order to inform teachers, material developers, and syllabus designers of the importance of related corpus linguistic studies.

Lexical inferencing has been recognized as an effective learning strategy in SLA. The present study investigated Iranian EFL learners’ development of reading comprehension as a result of exposure to lexical inferencing strategy instruction. To do so, 45 female participants studying in Simin Language Institute in Rasht, Iran were selected from among 60 students based on the results of a sample of Oxford quick Placement (OQP) test, who scored from 40 to 47. They were in two intact classes, assigned to one experimental (n=24) and one control group (n=21). The experimental group underwent the teaching of reading comprehension through lexical inferencing strategy to help learners infer the meaning of unknown words and promote their understanding of the text. However, the control group received the traditional instruction of reading comprehension concentrating on the translation of new words. The results of the pre- and post-tests of reading comprehension revealed the significant outperformance of the treatment group over the control group’s reading comprehension ability. It was concluded that lexical inferencing strategy teaching could develop the learners’ potential to improve their cognitive capacities in inferring the meaning of unknown words, which might be facilitative in their reading comprehension.

The aim of the present study is to investigate the effect of students' learning styles on their performance in various question types of the listening section of IELTS examination as well as their strategy selection. To this aim, 90 Iranian IELTS candidates from IELTS courses of an English language institute in Tehran, took part in the study as the sampling method was based on availability. The participants of the study comprised of 35 males and 55 females, and they mostly aged between 20 to 27 years old. The researcher first used Kolb's questionnaire to recognize the individual learning styles of candidates, which were accordingly categorized into four classes as activists, theorists, pragmatists, and reflectors. The results obtained from the one-way ANOVA showed that the dissimilarity of the style groups causes different performance in some question types of the listening test. In the note completion, multiple choice, and matching question types, the findings indicated a statistically significant difference. Therefore, it could generally be argued that in these three types of questions in the listening comprehension module of the IELTS examination, variation in different learning styles groups causes variation of performance in different question types. The results of the present study also reveal that the style preferences affect the individual differences in selecting the learning strategies

Teaching English through virtual online platforms has been practiced by language teachers during Covid-19 pandemic. The present mixed-methods study aimed to investigate EFL learners’ and teachers’ perceptions of virtual online classes and examine the potential (non)alignment between their perceptions as well. To do so, 80 learners and 30 teachers took part in the quantitative part and then, 18 learners and 12 teachers of English were selected for the qualitative part of the study. In the quantitative part, the participants responded to a self-report questionnaire on their experiences with online classes. In the qualitative part, the participants took part in online semi-structured interviews. After the questionnaire data provided a general profile of the learners’ and teachers’ opinions, analysis of the qualitative data resulted in the emergence of two major themes of 1) using online instruction as a productive device in language learning; and 2) efficient learning through communication. EFL teachers’ data revealed their belief in 1) fostering interactive classroom through online instruction; and 2) learners’ involvement and enthusiasm for classroom participation. It was also found that both learners and teachers expressed satisfaction with virtual online classes and creation of an interactive learning atmosphere through virtual classes, which indicated the existence of relative alignment between their perceptions. The findings of the study contributed to the EFL teachers’ awareness of applying online instruction in order to create an interactive learning environment for EFL learners and assist them to be enthusiastically involved in classroom communication.

Mounting attention has recently been paid to authorial stance in academic writing due to its important role in the interpersonal aspect of writing, encompassing the ways in which authors establish connections, convey attitudes, and engage with an audience. This study was an attempt to explore how native and non-native authors of Applied Linguistics deploy linguistic features to project their authorial stance. To this end, a corpus of 100 research articles authored by native and non-native researchers was collected from journals in the field of ELT. Hyland's Interpersonal Model of Metadiscourse (2005) was employed to differentiate the features produced and figure out how authors navigate the complexities of expressing their meaning while considering the ELT community expectations, and SPSS was used to analyze the data. Based on the results, the proportion of interactive resources was found to surpass that of interactional resources in both native and non-native writings, with transitions being the leading feature, followed by evidentials; and regarding the interactional resources, boosters, and hedges were the most dominant features employed by native and non-native authors, respectively. Overall, no tendency was found towards textuality through which authors consider the target audience (engagement markers), signal their confidence through the portrayal of authors' feelings (attitude markers), and take credit for their findings (self-mentions) throughout the whole corpus, particularly non-native writings. It seems that writing courses offered in non-native contexts require improvements to meet the standards of academic writing. Therefore, the study has important implications for both non-native and novice researchers and course designers.