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Cet article présent, nous ne projetons en aucune façon d'établir ou de définir ce qu'est l'art, dont l'œuvre d'art en ontologie. Ce n'est pas notre préoccupation aujourd'hui, et non plus davantage de la plupart des artistes contemporains. À la recherche d'une ontologie bien particulière sur l’œuvre d’art contemporain, Roger Pouivet, le philosophe contemporain français, l'appelle « l'ontologie appliquée ». Il s’agit de considérer l'œuvre en tant que telle, sans se préoccuper des catégories fondamentales qui la possèdent. À ce stade, il paraît nécessaire de parler du changement de paradigme dans le champ d’arts plastiques, qui résulte de l'apparition des œuvres des textes écrits ou oraux.  En ce qui concerne le concept de « Zugganzes » de ’Heidegger, il faut bien comprendre, quoi qu'il en soit, le cumul des éléments nécessaires jusqu’à ce que l’établissement d’un système s’achève. Cela veut dire que pour un processus de créer une œuvre d'art contemporain il explique qu’à la fois chaque élément a son rôle clé, même indispensable, et une mission pour compléter le rôle des autres éléments. Au fur et à mesure de cet article, nous répondrons aux questions de recherche : 1) Comment peut-on mettre en avant un processus de détermination d'une œuvre d'art qui s'enrichit des textes écrits ou oraux, en époque contemporaine ? 2.) Pourquoi et pour quelle raison a-t-on choisi de mettre en lien les deux concepts de « Zugganzes » et de l'hypothèse de « l'ontologie appliquée » dans ce travail de recherche ? Cette recherche essaye de nous montrer que: les œuvres d'art contemporaines qui sont considérées comme des textes visuels enrichissent des textes écrits ou oraux. En effet, cet acte vise à attirer l'attention des spectateurs en tout temps et en tous lieux. À la fin, on comprendra qu’il est possible de créer visuellement des textes symboliques en pratiquant simultanément les textes écrits ou oraux comme des éléments visuels et en profitant de leurs contextes.   

Machine translation (MT) of literary texts presents unique challenges due to their stylistic complexity and cultural nuances. This study evaluated the performance of Google Translate (GT) and Microsoft Bing Translator (MBT) in translating Camus’s The Stranger from English to Persian. Data collection for this study involved automated evaluation using the Bilingual Evaluation Understudy (BLEU) metric and human evaluation conducted by three experts using the Localization Industry Standards Association (LISA) rubric. The results showed that GT significantly outperformed MBT across nearly all dimensions. GT achieved a BLEU score of 21.57 compared to MBT’s 6.36, with superior n-gram precision at all levels. The human evaluation phase also revealed GT’s fewer critical and major errors in almost all categories compared to MBT. However, both systems struggled to preserve the aesthetic and philosophical richness of The Stranger . These findings highlight the persistent limitations of MT in literary translation, particularly for linguistically distant pairs like English and Persian. While MT shows potential as a supplementary tool, it remains unsuitable as a replacement for human translators in capturing the depth and artistry of literary works.

The ability to write from sources or integrated writing is considered an essential competency in academic and professional settings. This study investigated the possible interactions between motivation regulation strategies, integrated writing strategy use, and integrated reading-listening-to-write (RL2W) performance of Iranian EFL learners. A convenient sample of 31 learners from an EFL essay writing course participated in the study. The required data were collected based on the learners' performance in an integrated writing task and their responses to motivation regulation and integrated writing strategies questionnaires. The correlation analysis indicated a positive moderate relationship between motivation regulation strategy use and integrated writing performance of the learners, while integrated writing strategy use showed a low relationship with these constructs. Multiple regression analysis also indicated that among the subscales of motivation regulation strategy use in writing, interest enhancement had a significant contributory power to account for the integrated writing performance of the learners. MANOVA results also pointed to the superiority of high writing proficiency learners in motivation regulation strategy use compared to their less competent counterparts, but there were no significant differences between high and low groups in integrated writing strategy use, which confirmed the importance of quality of strategy use to mere quantity. As a subsidiary aim, the challenges learners encountered in the integrated writing process were identified by analyzing their responses to a reflection question and examination of their written essays. They were identified as linguistic, psycholinguist, and academic skill problems.

The rapidly growing influence of artificial intelligence (AI) is poised to fundamentally transform the realm of English as a Foreign Language (EFL) instruction. This research studied this emerging trend through a qualitative research synthesis of 24 peer-reviewed articles published between 2021 and 2024. It examined them to highlight the diverse applications, challenges, and teaching practices associated with AI in EFL education. Methodological rigor was ensured through established inclusion and exclusion criteria for selecting the articles. The qualitative synthesis and thematic analysis revealed five prominent themes that illuminate the current landscape of AI in EFL instruction: 1) conceptualizations of AI within EFL settings; 2) factors influencing its adoption; 3) challenges faced when integrating AI into EFL settings; 4) limitations of AI-based tools and methods; and 5) potential avenues for future investigation. Although integrating AI into EFL pedagogy is still in its early stages and presents various challenges, the findings provide valuable insights and practical recommendations for effectively using AI in EFL education, enhancing teaching methods, and improving student learning outcomes. Educators can make informed decisions regarding its implementation while navigating the evolving EFL instruction landscape by cultivating an understanding of AI's potential benefits and inherent limitations.

Jam (2020) attempts to provide an Optimality-Theoretic analysis of Persian vowel harmony. As to cases where backness harmony does not appear to occur, his explanation appeals to Lexically Specific Constraint Theory, treating these instances as exceptional rather than systematic. In this reply, I argue that such an appeal to exceptionality is unnecessary, and I propose an alternative analysis in which regressive vowel harmony in Persian can be accounted for in a principled, unified manner without recourse to lexically indexed constraints. By introducing an appropriately formulated markedness constraint, it becomes possible to capture the full range of observed patterns while maintaining the parsimony and explanatory elegance expected of an Optimality-Theoretic framework. In addition to this central point, I identify several further weaknesses in Jam’s analysis. These include a conflation of rule ordering with constraint ranking, which obscures the theoretical distinction between derivational and constraint-based approaches, the problematic assumption that the phonological representation of loanwords should mirror their source-language forms, and the omission of critical information in both the representations and tableaux.

Learners’ classroom involvement is thought to be highly influential in their academic success in that highly involved learners typically invest more time and energy in acquiring course content. For this reason, the predictors and determinants of learners’ classroom involvement have been highly attended to by educational researchers. Nonetheless, the predicting role of teachers’ emotional competencies like compassion and empathy has rarely been researched. Furthermore, to the best of the researcher’s knowledge, no theoretical review has looked into the concurrent impacts of teachers’ compassion and empathy on EFL (English as a Foreign Language) learners’ classroom involvement. To address this lacuna, the current theoretical review aimed to explicate the effects of these two emotional competencies on EFL learners’ classroom involvement. The desirable effects of teachers’ compassion and empathy on EFL learners’ involvement were demonstrated using theoretical and empirical evidence. The implications of the present review’s findings are thoroughly discussed.

English for Academic Purposes (EAP) has become increasingly important in applied linguistics due to growing demands from universities and policymakers to integrate research into educational practice. However, how this integration occurs across disciplines and contexts remains unclear. This mixed-method study investigates challenges in language instruction in Iran. Using random sampling, 50 TEFL instructors teaching EAP participated; 89% held doctorates, and 73% spent 10–30% of their work time on research. The study examines the difficulties university-level TEFL professors face in integrating research into EAP instruction. A detailed Likert-scale questionnaire assessed perceptions of ideal versus actual inclusion of seven research-related concepts. Due to non-homogeneous data, Wilcoxon signed-rank and Kruskal-Wallis tests were used. Three key themes from open-ended responses explained the gap between expectations and practice: organizational limitations, student-related variables, and instructor-related obstacles. Results showed strong belief in research integration but limited implementation. Student issues included low motivation; institutional barriers involved rigid curricula and misaligned goals. Instructor challenges included limited research skills, disciplinary expertise, self-confidence, and motivation. These challenges are shaped by institutional context, research experience, and workload. The study highlights the need for institutional support, curriculum reform, and professional development to help TEFL instructors effectively connect research and EAP teaching.

Pragmatic competence plays a crucial role in effective communication in English as a Foreign Language (EFL) contexts, yet it is often overlooked in instructional materials. This study investigates the representation and distribution of speech acts in the Speak Out English textbook series (second edition), a widely used resource in EFL classrooms. Drawing on Searle’s (1976) taxonomy, the dialogues from the Starter to Advanced levels were analyzed to assess the frequency and types of speech acts. The results revealed a significant predominance of Assertives (41.7%) and Directives (33.7%), with lower occurrences of Commissives (13.2%), Expressives (10.2%), and a minimal presence of Declaratives (1.1%). This imbalance indicates a limited pragmatic range, which may hinder learners’ communicative competence, especially in formal or professional contexts. The findings suggest that while the series supports functional communication, it falls short in fostering comprehensive pragmatic development. The study highlights the need for more balanced and contextually rich representation of speech acts in EFL textbooks. Implications for teachers, curriculum designers, and textbook developers are discussed, including the importance of integrating meta-pragmatic instruction and culturally relevant examples. This paper contributes to the growing body of research on pragmatic competence and underscores the importance of equipping EFL learners with the skills to engage in diverse communicative situations.

Writing assessments in the EFL context today have put a great concern on language acquisition and proficiency testing. However, diverse techniques and practices require a comprehensive synthesis to better understand trends, gaps, and best practices. This study reviews and synthesizes prior research on writing assessments in EFL contexts. It examines the dominant assessment approaches, their effectiveness, and their impact on EFL learners' writing skills holistically. The study employs a meta-synthesis approach. Fifty journal articles indexed by Scopus, ERIC, Crossref, Google Scholar, DOAJ, Copernicus, and other indexing databases between 2018 and 2024 were selected as the data to review in this study. The data selection was conducted to ensure the relevance and quality of the literature reviewed. The results include a variety of assessment practices such as teacher feedback, self-assessment, peer-assessment, blended or collaborative assessment, automated writing evaluation (AWE), and artificial intelligence in EFL writing settings. The study also concludes that, despite the diversity and complexity of writing assessments in EFL contexts, there is a strong need for more standardized and contextually valid assessment practices. Effective assessments align with instructional goals and offer meaningful feedback that supports student learning. The study recommends developing comprehensive assessment frameworks tailored to specific EFL contexts, providing more training for educators in assessment literacy, and conducting further research into the long-term impact of various assessment practices on the writing development of EFL learners.

Since reflective practice is regarded as a significant professional learning tool for teachers to change, modify, and reform their educational practices, it is important for teachers to move towards a more creative use of reflection. Thus, imaginative and creative reflective practice can serve as a new approach to enhance teaching efficiency, originality, reflectivity, and practicality. Additionally, teachers can utilize Artificial Intelligence (AI) tools to implement reflective practice in creative and imaginative ways to support innovative reflections and address complex teaching challenges. Accordingly, this study employed imaginative and creative reflective practice with a Chat Generative Pre-Trained Transformer (ChatGPT) as a novel AI tool. This study explored how imaginative and creative AI-oriented reflective practice could contribute to the professional development of EFL teachers within a complex educational system. To this end, the perspectives of six novice and experienced EFL teachers were examined through semi-structured interviews, classroom observations, and post-class discussions within a qualitative case study framework. The findings indicated that teachers were able to transform and reform their belief systems by learning new concepts, reflecting on their practices, innovating knowledge and practice, and initiating change through imaginative and creative AI-oriented reflective practice. The study concludes with suggestions on how to engage language teachers in imaginative and creative AI-oriented reflective practices.

Higher levels of student engagement are positively linked to higher learning achievement. However, enhancing student engagement in underprivileged and crowded educational contexts, specifically where high-tech tools are not available can cause a major challenge for teachers. The current study attempts to enhance students’ engagement in their learning by incorporating mini white-boards (MWs) as low-tech response systems. To this end, in a time-series design, an instruction-feedback cycle via mini white-boards was manipulated over a semester. Ten 10th-grade students, all from similar low socio-economic backgrounds and living in rural areas, participated in this study. Data were collected through observing students’ behaviors using engagement checklists. An attitude questionnaire was also administered to assess students' perceptions of using mini white-boards in their learning context. Descriptive statistics were used to summarize individuals’ engagement patterns across the study period. Additionally, a mixed-effects model was employed to account for individual variability and to assess the effects of the intervention on students’ engagement over time. The results indicated that using mini white-boards caused significant improvements in students’ overall engagement and attitude. The findings suggest that using low-tech solutions in low socio-economic settings can foster student engagement by allowing real-time feedback, collaborative interaction, and personalized participation.

Teaching is a complex profession demanding strong emotional regulation and interpersonal relationship skills, which are critical to teachers’ psychological well-being (PWB). Based on positive psychology as well as Compassion-Based Language Education (CBLE), this research intends to examine the mediational role of teacher-student relationship (TSR) in the relationship between emotion regulation (ER) and psychological well-being of Iranian English as a Foreign Language (EFL) teachers. Adopting SEM and with the help of established scales, the study searches for fresh insights about these core psychological processes to reveal the intricate associations between emotional regulation, relationships, and the psychological outcomes at work in the context of EFL instruction. A total of 243 Iranian EFL teachers were also randomly chosen based on the stratified random sampling technique with different professional experiences (that is, with different academic degrees and expertise). Broad experience and qualifications make our sample representative of Iranian EFL teachers and enhance the generalization of our findings. Stratification also helped in the coverage of aspects of age, education, and experience. Inter-variable correlations were strong, and TSR was a significant mediating variable, as indicated by the path coefficients. The direct effect of ER on TSR, indirect effect on PWB through TSR, and the total effect of ER on PWB were very significant according to AMOS 26 software. Notably, partial mediation was found where direct relationships of ER to PWB were still significant along indirect routes through TSR. This study offers unique avenues for future intervention efforts aimed at enhancing teacher well-being through relationship-oriented interventions.

Given the cognitive demands of consecutive interpreting and the psychological pressures faced by novice interpreters, the present quantitative study aims to identify the most frequently occurring disfluencies in the output of English-Persian interpreter trainees and to explore how interpreting anxiety influences different types of disfluencies. A total of 23 translation trainee students were selected based on convenience sampling. Data were gathered through the Interpreting Classroom Anxiety Scale and a CI exam. After classifying the disfluencies =, it was revealed that hesitation, silent pauses, and prolongation are the predominant disfluency features. These types of disfluencies indicate cognitive overload and failures in language planning. Statistical analyses showed a significant correlation between high levels of anxiety and an increased frequency of these disfluencies; however, no meaningful relationship was found between interpreting anxiety and disfluency in general. This suggests that anxiety adversely affects fluency and overall interpreting performance. This study highlights the critical role of psychological factors, particularly anxiety, in interpreter performance and training. The findings call for the inclusion of anxiety-reduction techniques in interpreter education and suggest future research on experience-based disfluency patterns and Persian-specific disfluency classification.

The integration of AI in educational contexts has been a heated debate among scholars. Despite the important role of Artificial Intelligence (AI) in foreign language education, exploring English as a foreign language (EFL) teachers’ voices regarding their motivation to use AI in foreign language education has received scant attention. Therefore, this study explores the motivational factors influencing the adoption of AI in foreign language teaching through the lens of self-determination theory (SDT). Qualitative data were collected through semi-structured interviews from six EFL teachers in the context of Saudi Arabia. The study identified several key sub-themes within the broader motivational factors of relatedness, autonomy, and competence from the SDT framework. Regarding competence, participants emphasized the role of AI in enhancing their ability to deliver personalized instruction and manage their classrooms more efficiently. For relatedness, the sub-theme of mutual support and community building emerged as crucial, highlighting the importance of collaboration between teachers and students in AI adoption. In the context of autonomy, self-initiated professional development was prominent, reflecting teachers’ active efforts to stay updated on AI technologies. Teachers felt that mastering AI tools not only improved their competence but also enabled them to adapt AI-based solutions to meet students' individual needs. However, they also noted the challenge of ensuring that AI tools complement rather than replace critical pedagogical skills, highlighting the need to maintain a balance between using AI for efficiency and preserving essential human elements like creativity and critical thinking.