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Nowadays, English has become an international language and is used for communication and interaction among different countries and cultures across the world. So, the ability to communicate in a comprehensive way is one of the major goals of any second language educational setting. The aims of the present research were to investigate the relationship between Iranian EFL learners’ social intelligence (SI) and their willingness to communicate (WTC) across gender, as well as to find out any possible difference between male and female learners in SI and their WTC relationship. To this end, 240 male and female EFL learners from different institutions were selected as the participants of the study with different age ranges based on convenient sampling. Then two standardized questionnaires, i.e., SI and WTC, were administered for all participants to answer. After collecting the required data and its analysis, the findings revealed a positive and significant correlation between male and female SI and their WTC. In addition, further statistical analysis using formula showed no difference between learners’ SI and WTC relationship across gender. The findings of the present research could be applicable for EFL learners, teachers, and material developers. Keywords:

: This study aims to explore the relationship between syntactic and lexical complexity and also the relationship between different aspects of lexical complexity. To this end, speech monologs of 35 Iranian high-intermediate learners of English on three different tasks (i.e. argumentation, description, and narration) were analyzed for correlations between one measure of syntactic complexity (mean number of clauses per Analysis of Speech Unit) and two measures of lexical complexity (diversity and sophistication). Spearman’s rho was used to calculate correlations between the average scores for syntactic and lexical complexity obtained from the three tasks and also for each of the three tasks individually. The results showed that the average scores for lexical diversity and lexical sophistication correlated positively, but the correlation was found only for the narration task. Also, the average scores for syntactic complexity did not correlate significantly with any of the average scores for the two measures of lexical complexity. However, the pattern of results differed across the three tasks. In the argumentation task, syntactic complexity correlated significantly only with lexical diversity. Syntactic complexity did not correlate significantly with any of the two measures of lexical complexity in the description task. In the case of the narrative task, there was a significant correlation between syntactic complexity and both measures of lexical complexity. The results are discussed in light of Levelt’s (1989) speaking model

: This study aims to apply active learning in a foreign language context to improve L2 learners’ listening comprehension. Participants in this attempt were 56 EFL learners between 13 and 15 years old. To amass the required data, learners went through a ten-week treatment, in which participants in the experimental group received computer-mediated active learning intervention and those in the control group had computer-mediated listening activities in traditional lecture-based format. Since the focus of this study is on listening comprehension, tasks were designed in such a way so as to teach the basic tenets of listening including: a) reflective listening to comprehend meaning and content, b) reflective listening to clarify feelings, and c) listening to nonverbal cues. The aim was to find the possible effects of such intervention on learners’ listening comprehension. Scores on final exams and an attitude interview were compared between the two groups. Results of independent samples t-tests revealed that, as opposed to students in the control group, students in the experimental group performed significantly better and had much more positive attitudes toward the course. It was found that the proposed intervention is beneficial for English-language learners by reducing their anxiety in listening tasks and enhancing their motivation to take part in classroom activities and to do independent test tasks as their homework

Finding out which lexico-semantic features of cognates are critical in cross-language studies and comparing these features with noncognates helps researchers to decide which features to control in studies with cognates. Normative databases provide necessary information for this purpose. Such resources are lacking in the Persian language. We created a dataset and determined norms for the essential lexico-semantic features of 288 cognates and noncognates and matched them across conditions. Furthermore, we examined the relationship between these features and the response time (RT) and accuracy of responses in a masked-priming lexical decision task. This task was performed in English by Persian-English speakers in conditions where the prime and target words were related or unrelated in terms of meaning and/or form. Overall, familiarity with English words and English frequency were the best predictors of RT in related and unrelated priming conditions. Pronunciation similarity also predicted RT in the related condition for cognates, while the number of phonemes in the prime predicted RT for the unrelated condition. For both related and unrelated conditions, English frequency was the best predictor for noncognates. This bilingual dataset can be used in bilingual word processing and recognition studies of cognates and noncognates.

This study investigated the relationship between classroom environment and teacher behavior, and EFL (English as a foreign language) learners’ engagement and state motivation. To do so, 110 intermediate Iranian EFL learners with an average age of 18.37 were asked to complete What is Happening Inside the Classroom scale (WIHIC), Questionnaire for Teacher Interaction (QTI), Student Engagement Instrument (SEI), and Student State Motivation scale (SMS). The results of statistical analysis showed that there was a moderate relationship between all aspects of classroom environment (student cohesiveness, teacher support, equity, involvement, cooperation, and task orientation) and learners’ engagement (emotional and cognitive engagement). Moreover, there was a relationship between some aspects of classroom environment (student cohesiveness, task orientation, cooperation, and involvement) and state motivation. However, there was no relationship between teacher behavior, learners’ engagement, and state motivation. Implications are discussed and avenues for future research are outlined.

PhD thesis introductions help student writers to discuss the significance of their study and establish how their study relates to and draws on previous research. The present study used a genre-based approach to examine one subsection in introductions of applied linguistics PhD theses. To that end, Iranian PhD thesis introductions were textually analysed. A researcher-made questionnaire, grounded on the responses from a semi-structured interview, was administered to Iranian applied linguists and PhD students to seek their opinions regarding how the subsection should be written. Frequency counts and statistical tests were used to analyse the data using SPSS (version 22). Results of genre analysis showed varying lengths, non-alphabetic ordering of the terms, and frequent uses of indirect quotations to organise the subsection. Results of textual analysis also revealed significant overlap between the terms in introductions and keywords in abstracts. The terms primarily derived from research questions. Results of questionnaire response analyses showed no statistically significant differences between the attitudes of applied linguists and PhD students. Implications of the study for PhD introduction thesis writing are discussed.