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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.

The present study aims to explore Vietnamese English for Specific Purposes (ESP) teachers’ assessment strategies to support students’ preparation for industry demands in the hospitality sector. Using a qualitative design, it employed a two-staged data collection process comprising a narrative frame and semi-structured interviews with five experienced ESP teachers from a university in Vietnam. The data were analyzed drawing on an inductive approach to content analysis. The findings showed the teachers’ support for devising authentic assessment strategies based on available teaching materials and ESP resources to respond to industry requirements. They emphasized the need for more stringent collaboration between educational institutions and industry stakeholders to develop more relevant assessment strategies, and investment in dedicated learning resources to better prepare students for workplace communication. Additionally, the teachers advocated for specialized assessments that addressed the limitations of traditional language proficiency tests and aligned more closely with the linguistic and communicative demands of the hospitality industry. This study provides actionable recommendations for ESP teachers, program developers and course coordinators to design and deploy authentic assessment strategies that simulate real-life professional scenarios, consequently enhancing students’ employability.

Many researchers have explored the speech act of refusals across various genres, languages, and contexts. However, little is known about how refusals are conveyed in academic job applications by Asia-Pacific and European institutions. To address this gap, the current cross-cultural study analyzed a corpus of naturally occurring academic job rejection emails from different universities. Using Beebe et al.’s (1990) taxonomy of refusals, a total of 85 rejection letters was collected and examined. The results revealed that while both Asia-Pacific and European universities employed similar refusal strategies, the frequency differed significantly: European universities used 219 refusal strategies, compared to only 60 by Asia-Pacific institutions. Both regions primarily relied on “indirect” refusal strategies and “adjuncts” to protect the applicant’s face. Interestingly, “direct” refusal strategies, which are more face-threatening, were notably more common in European universities’ responses. The study concludes with insights and recommendations for making the academic job application process more considerate for both applicants and institutions.

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.

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.

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.

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

Le présent article se penche sur l’étude descriptive et analytique des noms composés dans une approche contrastive (français-persan et vice versa). Un corpus thématique dans le domaine de « faune et flore » a rassemblé ces noms en deux langues dont les exemples sont présentés dans les tableaux, parallèlement à leurs équivalents dans l’autre langue. Pour être plus systématiques, nous avons fait une taxinomie de cette thématique qui se répartit en quatre groupes « fruits et légumes », « arbres et fleurs », « plantes aromatiques et médicinales » et « animaux ». Les structures grammatico-syntaxiques ainsi que la situation de leur noyau sémantique, à savoir indocentrique et exocentrique, sont passées au crible. Selon les résultats de notre recherche, cette catégorie de nom partage plus ou moins les mêmes structures et traits caractéristiques dans les deux langues étudiées, sans oublier quelques points importants et intéressants qui les distinguent d’une langue à l’autre, notamment sur le plan orthographique.  

Critical thinking is one of the main functions of education and it is considered as learners’ use of prior knowledge to make judgments and solve problems. This study aimed, firstly, to examine the relationship between university EFL teachers’ critical thinking tendencies and their problem-solving skills, and secondly, to explore the prediction of university EFL teachers’ critical thinking tendencies by problem-solving skills, gender, and teaching experience. The study was designed in a correlational survey method. In total, 70 university EFL teachers (35 males and 35 females), from Azad and Payame Noor universities located in Isfahan and Ilam provinces teaching undergraduate students majoring in English, participated in this research. Data were collected via the California Critical Thinking Disposition Inventory and the Problem-Solving Inventory. The collected data were analyzed using descriptive statistics, the Pearson Product-Moment Correlation Coefficient, and stepwise regression analysis. The relationship between critical thinking tendencies and problem-solving skills was investigated through the Pearson Product Moments Correlation Coefficient, and stepwise regression analysis was run to determine whether university EFL teachers' problem-solving skills, gender, and teaching experience can significantly predict their critical thinking tendencies. The findings indicated that there was a positive, moderate, and significant relationship between university EFL teachers' problem-solving skills and their critical thinking tendencies, while there was no significant difference according to gender. In terms of teaching experience, the correlation coefficient for novice teachers showed a weak, positive, and non-significant relationship, yet the correlation coefficient for experienced teachers indicated a moderate, positive, and significant relationship. This study has both theoretical and practical implications for EFL teachers, practitioners, learners, and policymakers.  

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

The present mixed methods study examined the relationship of three constructs within applied linguistics, namely, shame, guilt, and grit among Iranian EFL learners. By considering the principles of positive psychology, the authors tried to determine the existence of any significant association between the variables. In this vein, 263 Iranian students aged between 13 to 18 participated in the study and filled out the questionnaires. Analyses of the data revealed strong negative relatedness between shame and the other two variables, while the learners’ guilt and grit were found to be positively correlated.  Expanding the quantitative results, the authors utilized a grounded theory approach and interviewed 30 students to further investigate the shame-inducing factors in L2 classroom and the analyses signaled that the ashamed learners suffer from internal and external shame-provokers. Attending to shame and other negative feelings would possibly reduce the learners’ shame and stress, help them progress in learning and enhance their well-being.

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.

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.