درخت حوزه‌های تخصصی

It is becoming an established strategy to add humor in Persian subtitles even often when the original dialogue does not include the created or any other humor. This study measures the impact of this strategy on viewers’ attention allocation while reading subtitles. The eye movements of 32 participants were recorded while watching a humorous and non-humorous version of the same scene extracted from Superchondriac (Boon, 2014), a French comedy. The results show that there is a significant difference between attention allocation in the two versions, and the viewers’ attention to the subtitles with added humor is significantly larger than non-humorous subtitles. The interviews showed that some viewers liked the added humor because they thought it is funny and close to their cultural and ideological views. On the other hand, some of the participants opted for the non-humorous subtitles because they thought the added humor was distracting, confusing, at times offensive, and detached from the original culture.

Artificial Intelligence (AI) is increasingly transforming the landscape of education, particularly within the domain of language learning, as evidenced by a growing body of research published in computer-assisted language learning (CALL) journals. These studies have examined the application of various AI technologies, including natural language processing (NLP), AI-driven educational platforms, automatic speech recognition, and chatbots, in facilitating language acquisition. The present study investigated the perceptions of 386 Iranian high school EFL students, utilizing the Students’ Perceived EFL Teacher Support Scale to evaluate the impact of AI-powered speaking assistance technologies, educational level, and learning setting on perceived teacher support. The findings revealed a tri-factorial structure underlying EFL teacher support, highlighting the compatibility of AI technologies with traditional pedagogical methods. This suggests that the integration of AI-powered tools into classroom instruction can enhance the overall effectiveness of language teaching and learning. To ensure optimal outcomes, educators are encouraged to strategically incorporate AI within pedagogically sound frameworks that maintain human-centered support. The study offers important implications for sustaining and enhancing teacher support in technology-enriched learning environments and underscores the need for further empirical research in this evolving area of applied linguistics and educational technology.

Online collaborative writing (OCW) is an essential pedagogical method in higher education, promoting learner interaction and shared responsibilities in academic writing tasks. While previous research has explored learners’ perceptions of OCW across various academic writing genres, there is a lack of investigation into how OCW impacts higher education students’ perceptions of their research article abstract writing performance. Utilizing an OCW perception questionnaire and semi-structured interviews, this study aimed to gauge the perceptions of 20 Iranian PhD TEFL candidates regarding an online collaborative academic writing course focused on writing research article abstracts. Quantitative and descriptive analysis of the questionnaire data and qualitative thematic analysis of the interview questions revealed that participants held positive views of technology-mediated writing instruction. However, they noted challenges faced, such as connectivity issues, software glitches, or time management. Besides, they offered recommendations, including exerting more rigid rules and defining more online assignments for the betterment of such online courses. The findings underscore the necessity of integrating technology-based writing instruction into teacher training programs to equip educators with essential skills for effective implementation. Besides, given the participants’ favorable looks towards interactive platforms like Google Docs, conducting joint research article writing programs can enhance the collaborative writing experience, ultimately leading to better academic outcomes for doctoral candidates.

A critical component of cognitive diagnostic models (CDMs) is a Q-matrix that stipulates associations between items of a test and their required attributes. The present study aims to develop and empirically validate a Q-matrix for the listening comprehension section of the International English Language Testing System (IELTS). To this end, a listening comprehension test of the IELTS was administered to 820 Iranian test takers. According to theories, taxonomies, and models of second/foreign language (L2) listening comprehension, previous studies on the utility of CDMs to L2 listening comprehension, detailed content analysis of the test items, and consultation with several content experts, an initial Q-matrix was first developed. Through the technique suggested by de la Torre and Chiu (2016), along with checking heatmap plots and mesa plots using the GDINA package in R, the Q-matrix was then empirically validated. Generally, six attributes were extracted for the listening section, namely, (1) Linguistic knowledge (LKA), (2) understanding prosodic patterns (UPP), (3) ability to understand and make paraphrases (PAR), (4) ability to understand specific factual information such as names, numbers, and so forth (UFI), (5) ability to understand explicit information (UEI), and (6) ability to make inference (INF). Finally, the results of the fit of the GDINA model to the data, at both item and test levels, indicated the adequate model-data fit and the plausibility of the Q-matrix. The implications of the study were also discussed.

Students’ engagement in classroom activities has been at the center of attention these days that affect learners’ success, mental health and alternatively, their disengagement impacts their achievement and may also affect their future professional well-being. Motivation is another important contributor to success in education, which is also in line with engagement. Likewise, demotivation has been a concentration point of instructional research; yet, it has not obtained much concentration in the realm of language acquisition. Indeed, English as Foreign Language (EFL) learners’ demotivation has an essential role in hindering their learning in the English language learning classroom. The level of these two concepts, namely disengagement and demotivation is influenced by different factors in students and as far as EFL teaching is concerned, one of these factors is school climate which is deemed as a predictor of academic success. Indeed, the learning climate has been attracting the attention of researchers for decades given that this construct improves or prevents student achievement and poor mental health. Nevertheless, its contribution to mitigating learners’ demotivation and disengagement has not been scrutinized yet. Accordingly, this review presents the power of the learning climate where EFL students are learning a language and its role in students’ demotivation and disengagement. Subsequently, this is followed by giving some implications for EFL teachers, school authorities, and researchers.

This study examined the impact of AI-driven feedback on the writing complexity of Iranian intermediate EFL learners using a quasi-experimental design. Through convenience sampling, 100 participants (male and female, aged 18-25) from two language institutes in Tehran were divided into four groups: two experimental groups receiving direct and indirect feedback from AI ChatGPT, and two control groups receiving the same feedback types from their teacher. Participants completed a pre-test, ten writing tasks over 14 weeks, and a post-test. Results, analyzed via descriptive statistics and one-way ANOVA, indicated notable improvements in writing complexity across all groups. The AI direct feedback group showed the highest improvement, with a mean difference of 5.24 (p < 0.05), followed by the teacher direct feedback group, which also demonstrated significant gains. The AI indirect feedback group exhibited moderate progress, while the teacher indirect feedback group showed the least improvement. Analysis of syntactic measures revealed that AI feedback, particularly direct feedback, effectively enhanced sentence structures and encouraged the use of more sophisticated vocabulary. These findings highlight AI-driven feedback’s potential to enhance EFL learners’ writing complexity, with direct feedback yielding the greatest benefits.

The present study aimed to examine kinetic units, implicature, and coherence in Persian audio descriptions. To this end, 10 Persian audio-described movies, totaling 1,004 minutes, were analyzed, and their audio descriptions (ADs) were documented, resulting in 3,485 records. These records were filtered for descriptions related to characters’ movements, yielding 2,095 ADs, which were analyzed in three phases. First, the type of kinetic unit in each AD was identified. Second, the implicature of kinetic units was examined to determine whether it was included in the ADs or ignored. The final phase addressed coherence in ADs. The results revealed that gesture was the most frequent kinetic unit in Persian ADs, followed by manner and posture. Moreover, 96% of kinetic units lacked implicature, and only 2.5% of implicatures related to characters’ movements were ignored in audio descriptions, which does not raise serious concerns about accessibility for blind and visually impaired audiences. Regarding coherence, 97% of Persian ADs were found to be coherent, highlighting the substantial accessibility they provide to their target audience. However, accessibility was not solely contingent upon linguistic and pragmatic factors. Technical challenges, such as background music overshadowing ADs, posed additional barriers to media accessibility.

The essential requirement of validity in second language assessment and testing is of paramount importance since it guarantees that tests properly gauge the targeted constructs and produce propitious interpretations. In this light, there seems to be a pressing need to carefully assess outdated conceptions of validity in English language testing to ensure they are in lockstep with current linguistic and sociocultural circumstances. This review examines the book "Ethics and Context in Second Language Testing: Rethinking Validity in Theory and Practice," edited by M. Rafael Salaberry, Albert Weideman, and Wei-Li Hsu (2023), and it unravels new horizons for expanding the comprehension of validity beyond traditional frameworks. The review underscores the primary subjects addressed in the book's content, such as ethical issues, contextual factors affecting test design, and novel approaches for assessing validity in real-world settings. The review also stresses the book's critical analysis of existing paradigms and recommends a more nuanced perspective on validity that incorporates ethical considerations and contextual significance. To this end, the current review constitutes an important reference for researchers and practitioners to encourage them to critically examine and reframe validity in second language testing.

This research aims to develop a questionnaire that measures students’ attitudes toward collaborative course design and identifies any barriers that might hinder student participation in course design. The questionnaire was developed in four phases. First, an item pool was created based on experts’ opinions, relevant literature, and the researchers’ experience. Second, the items were classified into two main sections: “attitudes” and “barriers”, with the latter further divided into five subcategories (social and cultural, educational and institutional, individual, practical, and attitudinal). The content validity of the questionnaire was assessed, with all items and subcategories achieving CVR>0.59 and CVI>0.79, thus surpassing the minimum required threshold. Third, the questionnaire was piloted with 330 students. The construct validity of the Collaborative Course Design Questionnaire (CCDQ) was confirmed through exploratory factor analysis (EFA) using Principal Component Analysis (PCA) as the extraction method, along with Varimax rotation, which identified six factors explaining 71.536% of the variance in the data. Finally, Cronbach’s alpha was calculated, yielding reliability indices ranging from 0.971 to 0.627, indicating internal consistency and reliability of the items within each construct. The findings suggest that the Collaborative Course Design Questionnaire is a valid and reliable instrument suitable for use with senior high school students.

This study addresses a critical need for effective curriculum alignment in higher education, particularly within Teaching English as a Foreign Language (TEFL). As educational institutions strive to enhance the quality of their programs, understanding the interconnections between intended, enacted, and assessed curricula becomes essential. This study examined the alignment among these curricula in the TEFL B.A. program at Shiraz University. Drawing on Anderson and Krathwohl's (2001) taxonomy of educational objectives, the researchers employed a mixed-methods design to analyze the cognitive processes and knowledge types in the curriculum standards, course content of instruction, and achievement tests of language teaching methodology, language testing, and linguistics courses. The qualitative content analysis revealed a notable overemphasis on lower-order thinking skills (LOTs) across all components of the courses studied. Specifically, the presence of higher-order thinking skills (HOTs) was quite limited within the curriculum standards, course content of instruction, and achievement tests. The quantitative analysis, using Porter's (2002) alignment index, further demonstrated a significant alignment (0.50) between the curriculum standards and achievement tests, but an insignificant alignment between the course content of instruction and the other two components. The findings highlight the need for policies that foster HOTs and support professional development for TEFL instructors. Educators should clarify learning objectives and align tasks with students' cognitive needs, thereby enriching TEFL curriculum design. The results advocate for integrating HOTs across the curriculum while ensuring alignment between intended, enacted, and assessed curricula. This study also contributes to ongoing research on curriculum design and implementation in TEFL higher education.

Exploring L2 affective variables requires innovative research analytic approaches that can adequately address the complexity and dynamicity of the variables. Not always can the normality of distribution and linearity of relationships be assumed. Neither can the homogeneity of variance be always met. Latent profile analysis (LPA) is suggested to deal with the heterogeneity of data and non-linear relationships. It allows for hypothesis testing and model testing to tackle the ergodicity issue in second language acquisition (SLA) research from a person-centered approach. LPA, which primarily serves to classify a population or sample into several sub-groups, can be effectively employed in SLA research to classify L2 teachers or learners in terms of the different positive and negative emotions (e.g., enjoyment, boredom, anxiety, etc.) they experience while learning a foreign or second language. A classroom-based L2 learning experience occurs interactively with several personal and contextual variables involved. The relationship between any single affective variable can hardly be conceived as linear. Thus, LPA holds promises for dealing with these non-linear relations and provides insightful information about the profiles of learners or teachers concerning a particular affective variable. The purpose of this conceptual analysis is to provide a review of the basic tenets of LPA and to explain how it can contribute to the exploration of emotional variables in SLA. By identifying distinct emotional profiles, the study offers guidance on tailoring instructional strategies to address the specific emotional needs of language learners, thereby enhancing the effectiveness of language acquisition interventions.

While there is a growing interest in poetry writing, it is important to explore students' experiences of writing poetry related to their meaningful lived experiences in an English as a Foreign Language setting. The study aims to investigate students' perceptions, emotions, and desires toward the activity of autobiographical poetry writing. Valid responses were obtained from 143 EFL students through a Qualtrics online survey, which examined their experiences in composing autobiographical poetry and its impact on their perceptions, emotions, and desire to learn poetry. The participants came from ten universities across various regions in Indonesia. Descriptive statistics and thematic analysis revealed that participants perceive writing autobiographical poetry to be a challenging experience due to technical language and poetic style. They also demonstrated a range of emotions, notably fear and anxiety, despite believing that the activity is beneficial. Although most of them experienced many challenges in autobiographical poetry writing, they expressed a desire to continue learning how to write poetry in the future. Participants were able to express their personal experiences in meaningful ways through their poems despite their anxiety about poetry writing. Hence, this study can serve as a stepping stone toward integrating poetry into Indonesian EFL curricula as a form of meaningful literacy

While cognitive and social-affective strategies have straightforward impacts on learners’ academic performance attached to specific tasks in a communicative and student-centered language classroom, metacognitive strategies, with their vigorous power, are arguably worth more attention. This group of strategies plays a vital role in making students become more self-directed and autonomous learners. This paper reported on a study investigating Vietnamese university students’ perception of using metacognitive strategies in their listening activities. Specifically, 140 English majors at the foreign language department of a university in Vietnam were involved in the study. Based on quantitative data from a questionnaire slightly adapted from Vandergrift et al. (2006), it was found that students in the study generally had a relatively high awareness of metacognitive strategies, with varying levels across the five subcategories of specific strategies. In addition, a comparison between the two groups (first-year and third-year students) showed minor differences regarding their listening strategy awareness. The findings suggested that metacognitive strategies should be encouraged, and listening strategies should be instructed early in English education programs.  

The obligatory prevalence of online education during the COVID-19 pandemic has drawn researchers’ attention to the challenges involved in foreign language pedagogy in such virtual educational contexts. Against this backdrop, this study investigated the impact of online self-regulated learning, use of communication strategies, and test anxiety on Iranian English as a Foreign Language (EFL) learners’ online speaking test performance. For this purpose, 132 EFL learners were given the e-Oxford Quick Placement Test and the speaking part of a sample A2 Key and B1 Preliminary test. Next, translated versions of the given measures were administered to the pre- and intermediate EFL learners and the obtained data were subjected to Structural Equation Modeling analyses that verified strong links between online self-regulated learning and the use of communication strategies, test anxiety and online self-regulated learning, and test anxiety and EFL learners’ use of communication strategies. Furthermore, the direct impacts of online self-regulated learning and use of communication strategies on learners’ online speaking test performance were verified; however, test anxiety was found to indirectly impact the learners’ online speaking test performance through its negative effect on EFL learners’ online self-regulated learning and use of communication strategies. In addition, online self-regulated learning turned out to be the strongest predictor of the learners’ online speaking test performance. As for the implications of the findings, it appeared that the attested model lends support to Bachman and Palmer’s (1996) language use framework illustrating test performance as a vulnerable construct affected by test takers' attributes and features of the test tasks and the impact of construct-irrelevant factors like test takers’ personal characteristics on their test performance.

Despite its recognized importance in preparing prospective teachers for the realities of the classroom, the practicum in Iranian TEFL programs faces several challenges that can significantly impact its effectiveness and hinder the development of competent and confident TEFL teachers in the country. This study, characterized as a comprehensive nationwide triangulated project, aimed at exploring and comparing the perception of the Iranian TEFL Preservice Teachers (PSTs) and the corresponding stakeholders on major issues, problems and challenges of the practicum program at Farhangian University. To these ends, a researcher-made practicum evaluation questionnaire was distributed among the participants (including 230 PSTs and 215 stakeholders) whose answers were analyzed through factor analysis. Based on factor loadings, nine major extracted factors in the two participant groups were compared through Independent Samples t-tests. The results showed that PSTs and stakeholders shared common perceptions on six factors while they held different perceptions only on three other factors. A semi-structured interview was additionally designed and conducted with 15 PSTs and 15 stakeholders. Finally, 10 practicum courses were observed to obtain an accurate understanding of the current situation of ELT PSTs’ internship education in Iran. The findings uncovered major issues and challenges with regard to ELT practicum including (a) limited adaptability and innovation in instructional approaches, resources, and materials utilized by the cooperating teachers who served as a role model for PSTs, (b) insufficient collaboration between educational institutions and universities, (c) lack of proper supervision by university advisors, d) insufficiency of time allotted to PSTs for teaching,  and e) huge gap between theoretical concepts related to the practicum principles studied in university courses with the practical realities faced by PSTs in the school environment, to name a few. The findings of the study might firstly give some insight to universities and schools in developing and implementing high-quality practicum programs that might contribute to the advancement of ELT teacher education programs. Moreover, the study can contribute to our understanding of the extent to which PSTs can integrate theoretical knowledge into their teaching practices.