Native speakers of English use phrasal verbs (PhVs) profusely in daily life. Pedagogically, however, these elements pose formidable challenges for second/foreign language (L2) learners across the board. The issue is exacerbated by the arbitrariness of approaches prescribed by instructional materials. The current study aimed at comparing the pedagogical impacts of explicit versus implicit approaches to teaching PhVs, drawing on the PPP (Present, Practice, Production) model as an explicit framework and the TBI (task-based instruction) as an implicit one. In so doing, 62 university undergraduate students majoring in engineering courses from three distinct classes at Sharif University of Technology were recruited. Each class was randomly assigned to a condition: explicit (PPP), implicit (TBI), and control. The treatments were carried out over five 50-minute sessions for the experimental conditions. To acquire further objectivity on the impact of instructional conditions, more data were culled using the online methods of eye-tracking and reaction time. In the eye-tracking experiment, seven eye-movement metrics were measured by a desk-mounted eye-tracker. Following that, the learners' reaction time (RT) behavior was gauged in terms of three metrics. The offline findings – administered at three intervals – revealed that explicit and implicit groups outperformed the control group on the immediate and the first delayed posttests. However, the explicit framework proved longer lasting. Regarding the online measures, no difference was discerned between the two experimental conditions. The aggregate evidence suggests that a hybrid perspective drawing on a mix of explicit and implicit tasks can be a propitious approach to PhVs’ pedagogy.
Augmented reality (AR) and virtual reality (VR) have emerged as transformative technologies in English as a Foreign Language (EFL) education, offering immersive, adaptive environments that enhance learner engagement, retention, and motivation. This systematic review synthesized 48 peer-reviewed studies published between 2019 and 2024 to examine AR/VR applications, implementation strategies, challenges, and learning outcomes within EFL contexts. The researchers established inclusion criteria—English language studies published from 2019 onward in Scopus-indexed language teaching and learning journals, fully accessible online, and thematically aligned with research objectives—and applied exclusion criteria to studies that were non-English, dated before 2019, restricted in access, or published in low-impact or non-verified outlets. Data from the selected articles were imported into MAXQDA 24 for qualitative coding, yielding 64 open codes that were consolidated into 12 axial codes and further synthesized into six overarching themes: learner engagement, integration strategies, implementation practices, learner perceptions, adoption challenges, and language acquisition outcomes. Findings indicate AR/VR interventions significantly bolster engagement and linguistic competence when embedded within pedagogically sound frameworks, although technical constraints, cost considerations, and teacher readiness can hinder adoption. Educators should design scalable, user-friendly experiences and invest in targeted professional development to optimize outcomes. This review advances our understanding of AR/VR’s pedagogical potential in EFL settings by highlighting evidence-based practices and persistent challenges. It offers actionable recommendations for future research.
Teacher accountability, referring to teachers’ responsibility for instructional effectiveness and student outcomes, is a fundamental concept in education. However, barriers to teacher accountability in English as a Foreign Language (EFL) education in Iran have not been previously investigated. This study aimed to identify these barriers by developing and validating a context-specific instrument. A mixed-method approach was adopted, starting with semi-structured interviews with 60 EFL teachers to generate questionnaire items. Following the pilot study, a 27-item questionnaire was administered to 460 EFL teachers in private language institutes. Structural equation modeling (SEM) was run to develop an adjusted model of inhibitors to EFL teachers’ accountability and to assess the psychometric properties of the BTAS. Additionally, descriptive statistics explored teachers' perceptions of the identified barriers. The analysis supported a three-factor model of teacher accountability barriers: Internal obstacles, including motivational factors; external inhibitors, such as systemic constraints and assessment limitations; and environmental inhibitors related to cultural, sociocultural, and political constraints. The findings highlight the complex and interrelated motivational, institutional, and contextual challenges that hinder teacher accountability, and they present practical implications for policymakers and educational authorities to foster supportive environments that enhance teaching quality and learner achievement.
The integration of generative AI like ChatGPT into EFL pedagogy presents both opportunities for fostering higher-order thinking skills and risks to academic integrity. A research gap exists regarding the simultaneous impact of ChatGPT on the crucial triad of critical thinking, creativity, and self-reflection within the Indonesian EFL context. This study aimed to fill this gap by quantitatively measuring the effect of ChatGPT on these skills and qualitatively exploring students' perceptions of the learning process. The study used a mixed-methods sequential explanatory design. Participants were 100 undergraduate students, randomly assigned to either an experimental group (n=50) or a control group (n=50). Data were collected using three validated instruments: the Critical Thinking Scale, the Creative Thinking Scale, and the Reflective Thinking Scale. In addition, a semi-structured interview guide was used to obtain qualitative data. Quantitative data were analyzed using ANCOVA, and qualitative data using thematic analysis. The findings revealed that the ChatGPT group achieved statistically significant gains in critical, creative, and reflective thinking scores compared to the control group. Qualitative results revealed a duality in student perceptions; they valued the AI for fostering skills through idea generation and safe practice, but expressed concerns about risks such as cognitive offloading and skill atrophy.
Teacher-researcher identity is commonly conceptualized as one of the central components of teachers’ professional identity. Such identity development is not only configured toward the past and present but also oriented toward the future. This retrospective duo-narrative inquiry aimed to portray such orientation by exploring the possible selves envisioned by two female Gen-Z EFL teachers upon the completion of their Master’s graduation theses in the Mekong Delta region. Informed by Possible Selves Theory, this study drew upon qualitative data collected from semi-structured interviews with two primary participants and two outsiders for data triangulation. Subsequently, data were analyzed utilizing thematic analysis for each case, followed by a cross-case analysis to identify convergences and divergences in their lived experiences. Findings revealed that participants reconstructed their teacher-researcher identity through three dimensions of possible selves, including the hoped-for, the ought-to-be, and the feared. They envisioned their identity as personally developed, institutionally grounded, yet potentially at risk of being contextually dissolved. The study was pedagogically significant for maintaining teachers’ motivation in the teaching profession through an envisioned sense of possible selves. Pedagogical implications were offered to inform Master’s students, teacher education programs, and tertiary institutions in Vietnamese contexts and beyond.
Teaching has recently received extensive attention as an emotionally charged profession, necessitating a deeper exploration of the psychological mechanisms underlying teachers’ practices. However, despite the evidence supporting the role of teachers’ emotion regulation (ER) in their autonomous control over both their practices and their ecological environment, the interplay between EFL teachers’ ER, agency, and autonomy is not yet fully clear. Grounded in positive psychology and ecological theories of agency, the present study tried to contribute to our understanding of this relationship. Accordingly, 232 EFL teachers in Iranian schools, targeted via snowball sampling, responded to an online survey, containing Emotion Regulation, Agency Related to Planning Teaching and Learning Activities, and Teaching Autonomy questionnaires. The results of Multiple Linear Regression and SEM confirmed a positive relationship between ER and agency (r = .724) as well as ER and autonomy (r = .713), while predicting 58% and 48% of changes in them, respectively, which demonstrates strong predictive power. The results support an integrated theoretical model, linking ER to teachers’ agentic and autonomous behaviors, and indicating that emotionally-regulated teachers are more likely to exercise control over their professional practices and environment. These findings offer implications for educational administrators and psychologists, as well as ELT practitioners who wish to improve educational practices by empowering teachers to foster sustained well-being and deal with burnout. Finally, the possibility of an updated construct of Agentic Autonomy is proposed to bridge ER with teachers’ ecological agency.
While gamification has been extensively examined as an innovative teaching strategy, its potential to strengthen reading comprehension, critical thinking, and self-directed learning (SDL) in Islamic higher education has not been fully explored. Much of the existing research focuses primarily on its motivational impact, with less attention given to how gamified learning management system (LMS) environments can simultaneously support cognitive and metacognitive development. To address this gap, the present study evaluated the effectiveness of an LMS-based gamified reading comprehension course on undergraduate students’ learning outcomes at STAI Diponegoro Tulungagung, Indonesia. A quasi-experimental design was applied, involving 70 students who were randomly assigned to an experimental group (n = 35) and a control group (n = 35). Data were collected through pretest and posttest on reading comprehension and critical thinking, a structured SDL questionnaire based on Garrison’s (1997) framework (self-management, self-motivation, and self-monitoring), and follow-up interviews with six purposively selected students from the experimental group. Results indicated that students exposed to the gamified LMS course showed significantly higher gains in comprehension, critical thinking, and SDL than those in the control group. Qualitative findings further suggested that gamification fostered continuous engagement and sustained motivation, though certain challenges, including technological constraints and external distractions. Overall, the study underscores the promise of integrating gamification into LMS-based reading courses to support cognitive, affective, and metacognitive advancement in Islamic higher education.
Listening comprehension remains a persistent challenge for non-English major students, often due to passive learning approaches, limited interactive engagement, and ineffective assessment methods. Traditional formative assessment lacks real-time feedback and adaptive mechanisms, hindering students’ ability to monitor progress and develop effective listening strategies. To address these drawbacks, the current study examines the implementation of an AI-integrated gamified formative assessment in enhancing listening comprehension among the 38 first-semester students at Universitas PGRI Delta Sidoarjo, a private university in East Java, Indonesia. Employing a sequential mixed-methods approach, data were collected from a closed-ended questionnaire measuring dimensions of engagement, motivation, and self-regulation, alongside structured interviews with six selected students to gain deeper insights. The findings reveal that the AI-integrated gamified platform fosters a more interactive and engaging learning experience, with students demonstrating increased autonomy and strategic listening behaviors. The instant feedback and adaptive challenges contributed to improved comprehension, particularly in recognizing key information and inferring meaning from context. However, some participants expressed difficulties in adapting to the dynamic nature of the platform, citing cognitive overload and challenges in managing time constraints within the game-based environment. Additionally, variations in AI-generated feedback quality occasionally led to confusion in interpreting certain listening tasks. These findings suggest that while AI-integrated gamification enhances listening comprehension, further refinements in feedback accuracy and cognitive load management are essential to optimize its pedagogical impact. The study provides critical insights for educators and developers in designing AI-driven gamified assessment tools that effectively support listening comprehension development for non-English majors.
The present study is an attempt to examine the impact of flipped language learning (FLL) on vocabulary learning and retention, focusing both on concrete and abstract words. In addition, the learners’ attitudes towards implementing FLL were surveyed. To this end, drawing on the mixed-methods design, a group of 40 intermediate language learners (n=20 for each gender), within the age range of 12 to 16, was selected through convenience sampling from Parseh English Institute in Zanjan, Iran. In line with the quantitative strand, the results of the pre-knowledge test and learning test for experimental and control groups were compared to evaluate their achievement. After a two-week interval, the participants’ scores were compared with the scores obtained in the retention test. After applying the treatment, a questionnaire about learners’ attitudes considering FLL was distributed to the experimental group. A semi-structured interview was also conducted to triangulate the survey results. The data were analyzed using a paired samples t-test, ANCOVA, and descriptive statistics. The findings revealed that FLL improved the performance of the experimental group in learning and retention of concrete and abstract words. The results of the analysis, nevertheless, do not substantiate the role of gender as a moderating variable. The analysis of the questionnaire and the interview also suggested learners’ favorable views regarding this kind of learning. Finally, it was concluded that FLL was efficiently applicable in English vocabulary didactics.
Coalescing digital technologies into education has foregrounded gamified formative assessment (GFA) as a promising modality for advancing second language acquisition (SLA). The current study explored the effects of GFA on the writing proficiency of Iranian EFL learners, focusing on complexity, accuracy, and fluency (CAF). Employing a quasi-experimental design, intermediate and advanced learners were assigned to either gamified or traditional paper-based formative assessment conditions. Writing CAF performance was evaluated by estimating the mean of macro-constructs of complexity, accuracy, and fluency. Writing performance was analyzed using established CAF measures for complexity, accuracy, and fluency, based on widely recognized frameworks. To assess group and proficiency-level effects, key statistical tests, i.e., Friedman, mixed-design ANOVA, Kruskal-Wallis, Wilcoxon Signed-Rank, independent samples t-test, and Mann-Whitney U, were applied. The findings disclosed that GFA enhances writing proficiency, with the most substantial gains observed in complexity and fluency. Accuracy improvements, though evident, were more modest and varied by proficiency level: advanced learners improved more in complexity and fluency, whereas intermediate learners showed greater gains in accuracy. These results accentuate GFA’s pedagogical efficacy in fostering engagement, reducing cognitive load, and promoting self-regulated learning in writing instruction, offering crucial insights for language educators, curriculum designers, and digital assessment developers who aim to incorporate innovative, learner-centered assessment strategies.
In spite of the longitudinal attempts of the educational authorities, English has failed to have a proper position in the ELT educational system in Iran, resulting in the weak performance of Iranian EFL learners. As a result, this study was carried out to integrate sociocultural theory, multimodality theory, multiple intelligence theory, and social identity theory to develop a comprehensive conceptual model for understanding and overcoming ELT curriculum challenges. A transformative sequential mixed research design was adopted to explore the challenges, perceptions, and provision of the model. First of all, a total of 49 articles were selected from well-established journals to map the related challenges. The review and comparison processes were conducted based on Tricco et al.’s (2018) PRISMA_SCR model (thematic analysis). The extracted categories of challenges were explored in relation to the principles of the four mentioned theories, and nine categories were selected to align with the principles of the mentioned theories. Then, 403 participants from three categories of stakeholders (pre-service teachers, in-service teachers, and scholars) were chosen, and their perceptions were assessed through the administration of a researcher-developed Likert-scale questionnaire. Moreover, some interview questions were drawn up to guide the qualitative phase, and an observation checklist was developed to assist in monitoring ELT classroom practices (to confirm the extracted challenges and assure the validity of the questionnaire). The results, obtained through SPSS and SEM statistical platforms, revealed that all three groups of participants considered authenticity, lack of communicative skill, deficiency in teacher training programs, and malfunctioning assessment methods as the most important challenges. This study has highlighted the effect of the application of the principles of sociocultural and social identity theories in developing an optimal learning environment that is socially and culturally responsive. Moreover, the principles of multimodality theory have emphasized the positive effect of the application of different instructional resources in promoting engagement and development among EFL learners. On the other hand, the principles of multiple intelligence theory call for differentiated instruction and assessment to address various cognitive and emotional capacities of learners. By integrating sociocultural, social identity, multiple intelligence, and multimodality theories, this study has provided a holistic framework for reforming the most significant ELT curriculum challenges.
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 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.
Political apologies serve as high-stakes communicative acts, addressing collective wrongdoing while seeking to repair damaged relationships between governments and affected groups. This study explored the evolution of political apologies in the 21st century, analyzing their role as public speech acts that respond to shifting societal and political norms. Despite their increasing prevalence in global politics, limited research has examined how these apologies have adapted linguistically and structurally over time to meet evolving public expectations. This research bridged this gap by employing a diachronic pragmatic approach. A corpus of 222 state-level political apologies, spanning two decades, was analyzed using the Cross-Cultural Speech Act Realization Project (CCSARP) framework, augmented with emerging pragmatic elements. Categorized into five sociopolitical periods, these apologies were coded and analyzed with Atlas.ti to identify shifts in their structural and linguistic components. The findings revealed a consistent use of Illocutionary Force Indicating Devices (IFIDs), alongside a growing emphasis on Explanation or Account and META (Reaffirmation). Novel elements, such as Commemorative Apologies and Forward-Looking Statements, demonstrated how political apologies are increasingly tailored to address systemic injustices and public demands for accountability and reconciliation. Theoretically, the study could enrich pragmatic frameworks by identifying new components of political apologies. Practically, it offers insights for crafting effective apologies that resonate with diverse audiences. This research underscored the adaptability of political apologies, positioning them as tools for fostering societal healing and advancing justice in a rapidly changing world.
Emotion labor is defined as any conflict between institutional demands and teachers’ professional beliefs and preferences. Engaging in emotion labor is an inevitable aspect of becoming a language teacher. Scholars agree that language teacher agency and identity are closely tied to emotion labor. This fact particularly looms large for novice language teachers, who tend to perceive contradictions between what they imagine prior to entering the profession and what they actually experience in their teaching contexts. This case study applied activity theory (Engeström, 2015) and Gee’s (2000) identity framework to explore how the emotion labor experienced by a novice Iranian female teacher of English as a foreign language (EFL) over a five-year career period at three private language institutes affected her language teacher agency and identity. The findings, obtained from class observations and semi-structured interviews, highlight two major sources of emotion labor: 1) profit-oriented policy, and 2) performance-constraining factors within the institute, which caused the participant to contemplate quitting her job. Implications and further research are discussed in line with the interplay among emotion labor, language teacher identity, and well-being.
Thanks to the significant achievements in Artificial Intelligence (AI), Machine Translation (MT), in general, and Google Translate (GT), in particular, have been extensively used in all facets of life, including language learning. However, faced with a plethora of research evidence on GT’s educational contributions, erroneous translations create disparity regarding its use in language learning. To address this lacuna, the present study systematically reviewed 10 databases, namely, Web of Science, Scopus, ERIC, ScienceDirect, Taylor & Francis Online, Wiley Online Library, SAGE Journals, Springer Link, Springer Open, and DOAJ. Additionally, it hand searched the reference lists of 44 studies selected to be included in the synthesis from database search along with references cited in three previous systematic reviews on similar topics to capture a comprehensive view of the literature related to the use of GT in language learning between 2010-2021. It reviewed 50 studies witnessing a rise in the number of studies in this area. Studies reported that although significant improvements in the quality of GT led to pedagogical gains and more tendency to implement it in language learning, instructors still distrust it. Accordingly, this research provides pedagogical implications and suggests avenues for future research on the use of GT in language learning.
Technology-mediated instructional activities have received increasing attention in second language acquisition (SLA) studies. Yet, research on the role of technology in language learners’ emotional intelligence has been limited. More specifically, the role of data-driven learning (DDL) using concordancing, as a technology-mediated approach to learning English, in developing emotional intelligence has been left unattended. Through a mixed-methods explanatory sequential design within a quasi-experimental comparison group pretest-posttest design, the present study examined if DDL statistically significantly influenced the English learners’ trait emotional intelligence (TEI) and its attributes, including emotionality, self-control, well-being, and sociability. The results of questionnaires, open-ended surveys, and semi-structured interviews with 92 female undergraduate English learners indicated that DDL did not statistically significantly influence their TEI and its attributes. However, in terms of well-being, learners in the experimental group were slightly higher than learners in the control group. Finally, analysis of the qualitative data pointed to an increase in the learners’ TEI through enhancing self-confidence, stress management, and emotional perception.
Intersectionality refers to the experience of multi-faceted emotions from diverse angles (Crenshaw, 1989). This concept, originally developed in Western studies, has been applied to critical pedagogy, which concerns minority individuals in educational or vocational settings. The purpose of this study is to provide an overview of the concept of intersectionality in Second Language (L2) education and propose a new term for the main concept. Recent research has encouraged the use of quantitative and mixed-methods designs for measuring intersectionality. As such, the new term "discrima," derived from the Latin word "discrimen" meaning discrimination, is proposed to refer to the emotion experienced after discrimination. Intersectionality is used to pave the way for further steps in quantifying the intersectionality line of research.This study also explores what intersectionality is, where it originates, where it occurs in L2 education, and whether the concept can effectively express what should be expressed. The implications of this research are relevant to educational policymakers and course designers who can use the concept in real-world settings. Emphasizing the emotional aspects of intersectionality may help prevent unpleasant L2 learning and teaching experiences for minority groups. Therefore, this new term may facilitate promoting L2 education internationally. It would be beneficial for future research to provide more details about the significance of the new term "discrima" in measuring intersectionality and to offer examples of how the concept of intersectionality can be applied in L2 education.
Today, technological applications provide language learners with many possibilities to improve their learning. Online learning environments create opportunities for more flexibility, interaction, and collaboration in a way different from face-to-face learning environments. This study attempted to investigate the effects of synchronous distance education on the oral comprehension of Iraqi English language learners. The participants were 19 Iraqi English as a foreign language (EFL) learners in a language institute in Karbala, Iraq. All learners were following the same language course at the B1 level. These learners were randomly divided into three groups: the face-to-face control group, the experimental group taught via the Adobe Connect platform, and the experimental group taught via the Skype application. The data were collected through pre- and post-oral proficiency tests. The findings showed significant differences in the improvement of oral comprehension among the three groups. Experimental groups scored significantly higher than the control group. Moreover, the results indicated that the Adobe Connect-based instruction had a better effect on the learners’ oral comprehension in comparison to the Skype-based instruction. Concerning the performance of males and females in the experimental groups, the findings showed a significant difference between females and males in the Adobe Connect condition, with females showing more improvement. However, no significant difference was observed between males and females in the Skype group. The study stresses the mediation of virtual classrooms in enhancing EFL learners’ learning achievements. Relevant pedagogical implications for classroom practice in EFL education are presented and discussed and some suggestions are made for future research
Despite a currently proliferating interest in the second language (L2) willingness to communicate (WTC), much less has investigated Asian high school students’ beliefs about L2 teachers’ strategies to encourage WTC inside the classroom. This qualitative study explores the strategies employed by Vietnamese EFL teachers to encourage their students’ WTC inside the classroom and students’ beliefs about their teachers’ strategies. Data were collected from semi-structured interviews with seven teachers and eight students. Results revealed that the teachers employed six main strategy groups, namely grouping, warm-up, topic choice, correction strategies, class atmosphere, and motivational strategies. Also, the students indicated their preferences for some strategies and suggested other strategies which they believed to be effective. They expressed expectations and suggested ways to improve their teachers’ strategies to encourage WTC inside the classroom. The students’ preferences and recommendations of strategies reflected contextual factors. As WTC is a context-sensitive construct, it might be necessary for L2 teachers to understand their students’ beliefs to foster L2 WTC effectively inside the classroom.
