درخت حوزه‌های تخصصی

The present study aims to investigate address terms in Hawrami, a Kurdish dialect spoken mainly in the Paveh region of western Iran. It explores how speakers of Hawrami use a variety of linguistic resources—such as kinship terms, pronouns, occupational titles, and religious titles—to indicate social roles, relationships, and values. Drawing on sociolinguistic and discourse-analytic frameworks, in particular the work of Brown and Gilman (1960), the present paper examines how the social variables such as age, gender, power, solidarity, and religious ideology shape address practices. Data were collected through ethnographic observation and interviews in Paveh. Given the lack of written documentation and the deeply contextual nature of address practices, a qualitative method based on direct observation and community-based immersion was considered the most appropriate choice. The ethnographic method is especially suitable for studying linguistic behavior in small, localized speech communities, where language usage is closely tied to cultural norms, relationships, and everyday social practices. The findings show that address forms in Hawrami do more than merely serve communicative functions; they embody cultural values and reflect broader ideological shifts, particularly those following the 1979 Islamic Revolution in Iran. This study contributes to the documentation of an understudied minority dialect and provides insight into the intricate relationship between language, identity, and power in multilingual and multiethnic societies.

This empirical investigation examines the repair strategies used by trainee interpreters in English-Persian simultaneous (SI) and consecutive interpreting (CI) modes. The research seeks to investigate two main questions: whether there are differences in the frequency of repairs between SI and CI, and whether there are variations in the sorts of repair strategies employed in both modes. The study involved nine trainees from Shahid Bahonar University of Kerman who were learning interpreting. The study employed a 4-minute speech from Voice of America English News, which discussed the influence of vitamins on preventing the advancement of AIDS in women. Occurrences of self-repairs were detected using Tang’s (2020c) framework. The findings revealed a notable disparity in the frequency of repair strategies between CI and SI modes, with CI trainees utilizing a greater number of repairs. In addition, the trainees in the CI mode achieved superior scores in explicitation and synonym techniques. The results emphasize the unique patterns of repair strategies in both consecutive and simultaneous interpretation, reflecting the importance of focused training to improve interpreters’ abilities in both modes. Interpreter training programs may consider including explicit instruction on repair procedures and placing emphasis on evaluating their use in performance assessments.

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.

This study aims to analyze the factors associated with motivation and attitude towards English learning through the application of structural equation modeling (SEM). A quantitative, ex post fact, cross-sectional and explanatory study was carried out on 1202 university students. Eight motivational factors were examined, namely: Motivational Intensity (MI), Attitude towards Learning English (ATLL), Integrative Orientation (IntO), Instrumental Orientation (InsO), Interest Towards Foreign Languages (ITFL), Evaluation of English Teaching (EET), Desire to Learn English (DLE), Evaluation of the English Course (EEC). The multiple regressions showed that EET, DLE, InsO, and EEC are predictors of the MI. It was found that DLE, InsO, and EEC are predictors of ATLL. The SEM showed a weak positive influence of InsO on DLE, ITFL, EET, EEC, MI and ATLL. IntO had a weak positive impact on DLE, EET, EEC, and ITFL. There was a weak positive impact of DLE on ITFL, ATLL and MI, and it had a strong effect on EEC. Finally, EET had a weak positive effect on MI, whereas EEC had a weak positive impact on ATTL and MI. This research provided information that serves to understand the factors affecting the intensity of motivation and attitude in L2 learning

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

Cet article vise à analyser la formation linguistique de l’apprenant irakien du FLE. en mettant l’accent sur le cursus des études supérieures. Les étudiants en master, encore inexpérimentés dans la recherche, rencontrent des difficultés avec le programme actuel. Leur formation antérieure leur a-t-elle donné suffisamment de savoirs dans le domaine linguistique ? Au cours de cet article, nous analysons le système éducatif irakien du français langue étrangère à l’université de Bagdad. Il s’agit de la méthodologie classique et de sa revalorisation liée à la réforme du système.  Quel est le rôle des cursus traditionnels de FLE dans le processus de l'enseignement au magistère ? Dans un contexte hétérogène, il s’agit d’un pays non francophone. Nous proposons quelques pistes d’étude afin de commencer à  rénover  le système éducatif et l’actualiser dans un sens qui le rapproche des autres systèmes d’enseignement internationaux Nous proposons un modèle spécifique pour notre contexte particulier: D. H. E. B.,  Double Hélice Éducative de Bagdad. Ce modèle est dynamique, génératif, auto-évolutif et applicatif. Notre approche spécifique nous aide à former des recommandations pédagogiques participant à la réforme de l’enseignement-apprentissage du français à l’université de Bagdad.   

The control construction has attracted the attention of a considerable number of linguists since the early development of generative grammar. The present study examines the properties of PRO in Persian, adopting the syntactic approach developed in Kim’s (2003) theory of Merge Control within the minimalist framework. According to this theory, the control construction is fundamentally based on the theta-domain relation between PRO and its controller. The findings indicate that Kim’s theory of Merge Control addresses certain issues related to promise verbs, which challenge two key properties of PRO, namely, the locality and C-command conditions. Within this framework, there is no need to distinguish between obligatory and non-obligatory control; instead, the distinction should be made between complement and adjunct control clauses. Consequently, the violation of the proposed properties of PRO in Persian is resolved because the theory accounts for the objects of promise verbs in control constructions as adjuncts rather than complements. As a result, such objects are neither theta-marked by the promise verbs nor passivized, and they do not function as the controller of PRO.

This study aimed at investigating and comparing the expenditure of cognitive effort in translating various text types. The text typology of Reiss (1971, 2014) including informative, expressive, and operative text types was used as the theoretical framework. A mixed-method approach involving the use of screen recording, keystroke logging, think-aloud protocols, and retrospective interviews was adopted for the investigation. To pursue the research aims, 22 senior translation students were recruited to participate in the study and perform three translation tasks: translating informative, expressive, and operative texts. By using think-aloud protocols, the participants were instructed to speak out during the execution of the tasks. The amount of time spent by each participant and the number of pauses taken by them on each translation task were measured and compared as indicators of cognitive effort. Additionally, time and pause analyses were triangulated using technical operation analysis to have a better perception and obtain more reliable results. The findings of this study showed a significant difference in the cognitive effort required to translate informative, expressive, and operative texts. The findings also revealed a higher level of cognitive effort in translating expressive text compared with informative and operative ones

The COVID-19 pandemic prompted significant transformations in education systems globally. Consequently, this qualitative ethnographic study aimed to analyze the evolution of attitudes among English as a Foreign Language (EFL) learners through the lens of language socialization (LS). Additionally, the study explored the evolution of the COVID-19 pandemic on the LS of Iranian EFL learners within cyberspace through prolonged engagement and triangulated data collection, including classroom observations, semi-structured interviews, researcher field notes, audio recordings, and student journals. This approach allowed for a holistic understanding of the Iranian culture from participants' perspectives. A triangulation of data was collected, comprising class observations, semi-structured interviews, researcher notes, audio recordings, and student journals. The Data analysis was conducted using MAXQDA Analytic Pro 2020. Based on the seven principles of LS, the results identified eight categories: cultural familiarity, cultural differences, the influence of foreign culture, changes in identity and behavior, online class recording, online learning, self-efficacy, and participation in virtual groups. Ultimately, this study concluded that language and culture are intrinsically intertwined and that learners' engagement with language and culture adversely impacts their socialization within the English language and culture. Furthermore, online classes were found to enhance learners' self-efficacy while reducing anxiety levels. The findings equip EFL educators with strategies for fostering adaptive language socialization during crises, while offering learners tools to navigate disruptions through reflection and virtual communities. Additionally, they guide researchers in studying attitude evolution ethnographically and urge material developers to integrate psychosocial elements into language resources for volatile environments.

The present study investigates the challenges of learning English grammar with a focus on the syntactic analysis of relative clauses (RCs) in Persian in contrast to English to identify the most common errors made by Persian learners of English. In addition, it aims to enhance L2 grammar learning and overcome challenges using AI-assisted tools such as Wordtune, Instatext, and ChatGPT in classroom activities. The quantitative data were collected through the RC tests adapted from the models used by Izumi (2003), comprising three test types: sentence combination, interpretation, and grammaticality judgment. These tests were administered before and after the implementation of AI-powered strategies. The result of the tests in intermediate learners revealed that the most recurrent interlingual error was “the use of object pronouns” instead of gaps, while the challenges in “RC reduction” were among the most common intralingual errors. The findings highlight not only the major differences in RC structures between the two languages but also present an innovative approach that uses AI to address these challenges, offering insights for teachers and instructors. Addressing such errors and utilizing technological advances can pave the way for learners and teachers to have more effective learning and teaching strategies.

The present study explored the effectiveness of Google Docs as a cloud-based technology in enhancing the complexity, accuracy, and fluency (CAF) facets of writing competence. Forty-nine Iranian EFL learners, majoring in English, from two intact classes participated in the study. The classes were randomly assigned to the Google Docs (GD) group and the Conventional Teaching group (CT) after their proficiency levels were identified. The GD group (n=25) used the Google Docs writing instruction platform, while the CT group (n=24) received traditional writing instruction. Furthermore, ten students from the Google Docs group participated in semi-structured interviews to express their perceptions of the treatment they received. A mixed-methods design, incorporating Multiple Analysis of Covariance (MANCOVA) and theme-based analysis, was employed to assess quantitative and qualitative outcomes. The findings indicated that the GD group demonstrated a significantly improved ability in CAF writing compared to the CT group. The interviews revealed several important themes, including the positive experiences associated with collaborative writing through Google Docs, the convenience and flexibility of real-time collaboration, and the effectiveness of peer support in enhancing writing competence. Additionally, the teacher’s role as a facilitator was found to be crucial. Overall, the results suggested that the interactive attribute of Google Docs, combined with peer correction and editing, noticeably supports more sophisticated and accurate writing skills.

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.