درخت حوزه‌های تخصصی

The present research was targeted toward examining the relationship between cultural intelligence (CQ), emo-sensory intelligence (ESQ), language learning strategies (LLS), and students’ language achievement (LA). A number of 300 EFL Iraqi students studying at the English Language Department of AL-Qadisiyah University, Iraq was selected through convenience sampling. The participants filled out the cultural intelligence questionnaire, emo-sensory intelligence scale, and the language learning strategy inventory. Students’ final scores were used as a means through which their language achievement could be gauged. The data were analyzed using Pearson Product-Moment Correlation and Structural Equation Modeling (SEM) analysis. The findings indicated a significant relationship between ESQ, CQ, learning strategies, and students’ language achievement. In addition, it was found that CQ and language learners’ strategy could directly predict the language achievement of Iraqi EFL learners. ESQ, could only predict language learners’ achievement through the mediation of language learning strategies.

This study aimed to investigate the influence of a gamification-enhanced language classroom within the context of Moodle in promoting extrinsic and intrinsic motivational attributes of language learners. A total of 220 language learners from different universities in Iran were recruited as the participants and randomly assigned to the gamification-enhanced (n= 114) and control groups (n= 106). Over the eight weeks of treatment, the experimental group members were taught using various gamified tasks and activities through the gamified Moodle LMS. A motivational orientation scale was administered before and after the intervention. The results of ANCOVAs demonstrated a significant boost in the extrinsic motivation of language learners, including external, introjected, and identified regulation. Furthermore, the study confirmed that the integration of gamification has resulted in a higher level of intrinsic motivation for the participants in the areas of knowledge, accomplishment, and stimulation. The relevant pedagogical implications and directions for future studies are discussed.

This research aims to explore how the cognitive demands of tasks affect the acquisition of English verb tenses and their association with grammatical metacognitive awareness among language learners. The study addresses two key questions: 1) Differential impacts of tasks varying in cognitive load on the acquisition of verb tenses, 2) The predictive role of learners' metacognitive strategies in task conditions. Employing a quasi-experimental design, the study involved 120 first-semester Bachelor of Arts students from Azad University South Branch in Tehran, Iran. Participants were assigned to four groups exposed to different task conditions: reading, reading with textual enhancement, cloze exercises, and reading with writing tasks. Instruments included Grammar Judgment and Editing Tests, Pawlak's (2018) Grammar Learning Metacognitive Strategies Inventory, and the Oxford Placement Test. The analysis involved the learners’ performances on the Grammar Judgment and Editing Test, which were compared from the pretest to the posttest. One-way ANOVA was utilized. Additionally, comparisons among different task conditions in the posttest revealed which tasks resulted in higher learner performance. Results indicated significant improvements in tense structure proficiency associated with higher involvement tasks. This study bridges gaps in understanding optimal task designs for language learning and underscores the importance of metacognitive strategies in the Iranian EFL context.

This research paper delved into the critical issue of applying English as a Lingua Franca (ELF) assessment principles in local English language tests used for non-native English speakers in Iranian language institutes. A qualitative content analysis was made on 60 local tests, dissecting them into domains, dimensions, and rating rubrics to scrutinize their alignment with ELF assessment principles. The study unveiled that despite some alignment with ELF assessment principles, key aspects like local communicative context, intercultural competence, and linguistic diversity are often overlooked. In particular, writing and reading tests failed to fully reflect these principles, and listening and speaking assessments showed biases towards native English varieties. The study provides crucial insights for test developers to foster a more nuanced and accurate assessment of non-native English speakers' abilities. Moreover, it highlights the need to embed ELF principles into test construction, argues for broader assessment scopes and a focus on locally relevant tasks, and contributes to more equitable and contextually relevant English language proficiency tests by emphasizing linguistic diversity in assessment frameworks.

The advent of AI technologies has been influential on the quality of language learning in EFL contexts. A plethora of studies have explored the employment of AI bots in academic writing. Yet, exploring the strategies employed by Iranian EFL learners while using an AI bot to complete academic IELTS writing task 2 has been underestimated. To address the lacuna, this qualitative study computer-recorded eleven participants’ interactions with AI bot to identify the strategies they employed to complete academic IELTS writing task 2. The researchers intended to clarify the intricacies of the human-AI interactions and infer the potential contributions of AI bots for academic writing in EFL settings. The findings revealed that despite the employment of several strategies by the participants to compose high-quality writing tasks, none of them fully trusted the AI outputs to use them without post-editing. They considered the AI bot as a writing assistant, used some revised segments of AI responses and added their own words respectively. The pedagogical implications for language teaching in general, and IELTS-oriented practices in particular to take advantage of the emerging AI technologies for better educational outcomes are provided. Moreover, avenues for future research on AI-assisted Language Learning (AILL) are suggested.

The growing popularity of language-learning apps among language learners has highlighted the need for rigorous evaluation of their efficacy in second language acquisition (SLA). This study combined quantitative measures to comprehensively understand the effectiveness of the Busuu app in improving the productive vocabulary of Iranian intermediate EFL learners with qualitative data from in-depth interviews to explore their perceptions and experiences while using the app. Forty-three learners (17 males and 26 females with a mean age of 27.53) were selected to assess the effectiveness of the Busuu app on learners’ productive vocabulary knowledge. Among them,15 participants (all female with a mean age of 29.40) agreed to be interviewed after the Busuu study to gain insights into learners’ perceptions and experiences with app-based learning. A pretest-posttest design using the LEX30 task, a standardized productive vocabulary assessment tool, was conducted before and after the Busuu study to evaluate participants’ productive vocabulary knowledge. Paired samples t-tests revealed no significant improvement in participants’ productive vocabulary knowledge. Nonetheless, the number of responses produced in the posttest was higher than in the pretest. According to the interview data, users rated vocabulary as the most favored feature of the app, while restricted access to premium content was noted as the least favored. Most participants acknowledged that the app exceeded their initial expectations before installing it. Additionally, improving vocabulary knowledge was the users’ primary expectation from utilizing the app. Furthermore, approximately all participants found the app beneficial for language learning. However, most of them reported low levels of enjoyment during app usage. The results can contribute to understanding what needs to be done to upgrade the quality and potential of the Bussu app, how the app can better support EFL learners in effectively activating their lexical knowledge, and what the users’ experiences and expectations from a language-learning app are.

Classroom management is a key component of teachers' professional competent for promoting learning. This study investigated teachers' classroom management strategies in responding to Iranian EFL learners' misbehaviours in terms of teachers' biological factors including age and gender. The participants of the study were 75 (41 females and 34 males) teachers at universities and in language institutes of Fars Province, Iran. The study enjoyed a descriptive design using two sets of instruments encompassing a Five Likert-scale questionnaire and a semi-structured interview for collecting the data. The questionnaire determined teachers' classroom management strategies and the interview collected their opinions regarding classroom management. To analyze the data, one-way ANOVA and an independent sample t-test were run. The findings indicated that teachers' age and gender had significant effects on the types of strategies that they used when they faced misbehaviour. The findings also revealed that male teachers significantly used the strategies such as verbal warning, and female teachers removing the student from the class. The age groups were different in terms of using two strategies namely reward student with free time or activities and lower students' grade. The findings could have implication for curriculum designers, EFL teachers, and policymakers because it could enhance their skills in better management of learners' misbehaviours.

As one of the most prominent components of native-like language use, lexical bundles play a crucial role in academic texts. Considering the amount of written language produced by writers, this study explored lexical bundles in non-native and native academic reports. To that end, 100 sample reports of non-native and native writers taken from the Michigan Corpus of Upper-level Student Papers (MICUSP) were selected and analyzed to find non-native and native writers’ use of lexical bundles regarding frequency, structure, and function. Results indicated that native writers generally used a more extensive variety of lexical bundles in their reports. Regarding the structure of bundles, both non-native and native writers tended to employ more noun phrases with of-phrase fragments. In terms of the functions of bundles, both groups of writers tended to use more research-oriented bundles, followed by text-oriented and participant-oriented bundles, respectively. Findings highlight the value of fixed expressions in producing coherent academic texts by proficient writers, hence their importance in materials design and second language instruction.  

English proficiency as the content knowledge for English as a Foreign Language (EFL) teachers determines their instructional quality. However, previous studies have not focused on the significance of this knowledge in support of Teachers’ Technological Pedagogical Content Knowledge (TPACK) on technology adoption in teaching. Therefore, this study aims at finding out the correlation between TPACK and technology applications, and how technology applications link to teachers’ English proficiency levels. The study adopted a quantitative method, and the data were collected using two questionnaires in Likert scale, one for TPACK and another for technology application. Teachers’ English proficiency levels are determined using the content knowledge dimension of TPACK. The questionnaires were completed online by 74 English pre-service teacher graduates who had participated in a national teacher certification program involving real teaching practice. The data were analyzed using the Spearman correlation coefficient to determine the correlation between TPACK dimensions and technology adoption and ordinal logistic regression analysis to find out the effect of teachers’ English proficiency levels on technology applications. The results show that most TPACK dimensions correlate to technology applications with the level of correlations between 0.26 (weak) and 0.47 (moderate). English proficiency has been found to affect technology applications only among teachers who regularly used technology in teaching. Teachers with high English proficiency used technology in teaching 3.06 times more frequently than those whose English proficiency was low. Therefore, it is recommended that English proficiency development be inscluded in teacher professional development to ensure that teachers use technology in teaching 

This bibliometric analysis explores the integration of semiotics within educational contexts, highlighting a transformative shift towards multifaceted understandings of knowledge construction through language, multimodality, and educational transformation. Drawing on 1823 publications from the Web of Science database, this study employs both co-citation and co-word analysis to reveal prevalent themes and keywords in the field of semiotics in education. The co-citation analysis highlights the evolution of semiotic theories and their application in educational practices, from foundational concepts introduced by pioneers such as Saussure and Peirce to modern interpretations that consider the impact of digital technologies on semiotic resources. Co-word analysis, on the other hand, uncovers key research topics such as multimodality, multiliteracies, and the role of technology in mediating semiotic learning processes. This investigation is novel in its comprehensive approach to mapping the semiotic landscape in education through bibliometric methods, offering insights into how semiotic theories shape educational practices and outcomes, especially in language teaching and learning. By synthesizing findings from diverse research clusters, this study emphasizes the importance of adopting a multidisciplinary approach to understand the dynamic interaction between semiotics, technology, and learning. It contributes to advancing educational research by highlighting the transformative potential of semiotics in crafting more engaging, inclusive, and effective learning environments in the digital era.

Second language (L2) researchers often rely on quantitative methods and measurement instruments like questionnaires and scales to explore latent constructs. They usually borrow sophisticated statistical techniques from disciplines like psychology and education to conduct quantitative analyses in L2 research. However, there are growing concerns about the inappropriate use and reporting practices of such statistical procedures like exploratory factor analysis (EFA). This study aimed to describe and evaluate the methodological issues in EFA research practices, examine the relationship between study features and outcomes, and improve future L2 research practices. This study presented the results of a methodological synthesis study on exploratory factor analysis use published in five universally reputable psychology-related journals since 2000. Specifically, the researchers identified 93 EFA studies and developed a coding scheme of key EFA considerations to analyze how EFA was used and reported in these articles. The article discussed the several results and provides essential recommendations for L2 researchers intending to employ EFA in their works.

The interplay of Iranian EFL learners’ tolerance of ambiguity and their performance encountering unknown vocabularies in reading comprehension while considering their L2 reading anxiety was investigated in this study. A sample of 70 intermediate-level EFL learners from a language institute in Shiraz, Iran participated in the study. The Second Language Tolerance of Ambiguity Scale (SLTAS) and the Foreign Language Reading Anxiety Scale (FLRAS) were used to measure participants’ ambiguity tolerance and L2 reading anxiety, respectively. To assess students’ performance in dealing with new words in reading comprehension, two vocabulary tests and two reading tests were given to them. The data were analyzed by both SPSS and PLS 4 software using Pearson correlation and structural equation modeling (SEM). The findings revealed significant relationships between ambiguity tolerance and reading comprehension performance encountering unknown vocabularies, between L2 reading anxiety and reading comprehension performance encountering unknown vocabularies, and between ambiguity tolerance and L2 reading anxiety. Additionally, L2 reading anxiety was found to play a significant mediating role in the relationship between ambiguity tolerance of Iranian language learners and their performance in dealing with unknown vocabularies in reading comprehension. Moreover, the study provides evidence that reading anxiety does not play a moderating and significant role in the relationship between ambiguity tolerance of Iranian language learners and their performance in dealing with unknown vocabularies in reading comprehension. The study suggests that ambiguity tolerance and L2 reading anxiety are important factors that influence Iranian EFL learners’ performance encountering unknown vocabularies in reading comprehension. This study highlights the importance of fostering ambiguity tolerance and reducing L2 reading anxiety in both language teaching and learning. In addition, it provides insights for syllabus designers to d

This study sought to identify the challenges and needs of TOEFL iBT candidates in achieving C1 level scores in the speaking and writing sections of the exam. To this end, the researcher employed a mixed-method approach to collect data from a population of 46 students, both male and female, between the ages of 22 to 30. The participants were enrolled in two TOEFL preparation classes at Universidad Nacional de Educación. The data were collected through a survey, class observations, and TOEFL speaking and writing mock tests, and were subsequently analyzed both qualitatively and quantitatively. The findings indicated that the participants encountered challenges in discussing unfamiliar topics fluently, struggled with producing language at the C1 level while employing a variety of grammar and vocabulary, and demonstrated reduced accuracy due to influences from their first language (L1). To address these challenges, it is recommended to offer a bridging course prior to exam preparation courses wherein the primary focus is devoted to enhancing candidates’ accuracy and communicative competence in discussing unfamiliar topics through corrective feedback. The findings of this study could offer valuable insights to TOEFL iBT test preparation instructors, enabling them to better understand the challenges students face and plan strategies to address these challenges effectively within preparation courses.