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Speaking test anxiety is a pervasive challenge for adult English as a Foreign Language (EFL) learners, particularly in contexts where English proficiency is tied to academic and professional advancement. This empirical research study investigates the causes, contributing factors, and potential strategies to cope with speaking test anxiety among adult EFL learners in Saudi Arabia. Using a mixed-methods approach, the research combines quantitative survey data with qualitative interpretations to provide a comprehensive understanding of the phenomenon. Sixty-eight undergraduate male students, selected through purposive sampling method, participated in this research. The data were collected via standardized instruments (a modified FLCAS, and another survey instrument prepared by the researcher). Research findings reveal that cultural expectations, fear of negative evaluation, less frequency of speaking tests, and limited speaking practice contribute significantly to “the participants' speaking test” anxiety. The study bears significance in Saudi Arabian contexts as it identifies the causes of English speaking and test anxiety among adult learners and also suggests test-taking strategies to cope with test stress and related anxiety. The study concludes with pedagogical recommendations to mitigate anxiety and enhance speaking performance.

Learner autonomy as both an individual as well as a social concept is considered to be a vital element in language learning. Moreover, enhancing learner autonomy has been a main concern among language learning scholars. Because of this primacy, this study in two phases, first sought to examine the desirability and feasibility of learner autonomy from teachers' perspective, and then sought to study the effectiveness of training on enhancing teachers' autonomy-supportive behaviors. Seventy-two Iranian EFL teachers' views were collected via an autonomy questionnaire developed by Borg and Al-Busaidi (2012). The results indicated that the teachers conceived autonomy to be more desirable than feasible. They considered autonomy as an ideal optional rather than an accessible purpose. Furthermore, classroom observations indicated that training in workshops that were based on self-determination theory (SDT) enhanced teachers' autonomy-supportive behaviors. Trained teachers outperformed untrained teachers in almost all criteria in the ASBI checklist. The study has implications for EFL teachers and teacher educators. The contribution SDT can have on autonomy enhancement indicates its significance and potential to be accentuated in instructional programs as well as pre-service and in-service training sessions.

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.

Feedback literacy as a knowledge vital for developing EFL learners’ academic writing might be associated with several factors, including learners’ second language (L2) writing engagement. Besides, variables such as learners’ proficiency levels can affect the relationship between feedback literacy and writing engagement. This study investigated the relationship between 234 elementary (n = 85), intermediate (n = 78), and advanced (n = 71) Iranian English as a Foreign Language (EFL) learners’ writing feedback literacy and writing engagement selected based on convenience sampling. After taking a placement test, they sat for a writing task adjusted to their proficiency level. Next, they answered a scenario-based L2 Writing Engagement Measure (WEM) and completed the Writing Feedback Literacy Questionnaire (WFLQ). The Spearman rank-order correlation indicated significant positive relationships between the three groups’ feedback literacy and writing engagement. However, there were no significant differences in the relationships between EFL learners’ feedback literacy and writing engagement across the three groups. The study’s findings provide insights for L2 teachers, teacher trainers, and educationalists to enhance students’ writing ability, feedback literacy, and writing engagement. Some suggestions for further research are proposed.

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 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.

AI in Language Teaching, Learning, and Assessment (2024), edited by Fang Pan, offers a comprehensive and insightful exploration of how artificial intelligence (AI) is reshaping language education. The book is thoughtfully divided into three well-structured sections Preview, Perspectives, and Practice, each addressing essential dimensions of AI integration. In the Preview section, Pan examines AI's transformative role in enhancing educational delivery and personalizing learning experiences, paving the way for greater efficiency and accessibility. Subsequently, the Perspectives section collates diverse global viewpoints that critically address challenges such as algorithmic bias, data privacy, and equity concerns. Finally, the Practice section offers evidence-based case studies, showcasing tangible innovations such as adaptive tutoring systems and AI-powered assessment tools, which have demonstrated real-world impact. More importantly, Pan strikes an impressive balance between highlighting AI's vast potential and scrutinizing its ethical and practical complexities. By combining theoretical perspectives, empirical findings, and practical applications, this book stands as an essential resource for educators, researchers, and policymakers, aiming to navigate AI-driven developments in language education with both responsibility and clarity.

One effective method for improving EFL learners' foreign language communication skills is to learn L2 words and use them in speaking. For this reason, researchers aim to assist learners in acquiring vocabulary to the greatest extent possible. The present study investigated the impact of EFL teacher code-switching (CS) and English-only (EO) instructions on vocabulary acquisition in EFL learners aged 10 to 13. Fifty-six early adolescent learners participated in storytelling activities under the CS or EO conditions. The key difference between the two was that, in the CS group, the teacher used the learners' L1 for teaching vocabulary. In contrast, instruction was conducted solely in English in the EO condition. Results indicated that switching to learners' L1 enhanced vocabulary acquisition more effectively than English-only instruction, and this effect persisted in a delayed post-test two weeks later. Therefore, it can be concluded that teaching new vocabulary via teacher’s resorting to the learners’ L1 through storytelling activities brought about significant gains in remembering the target words in CS condition; hence, for more effective mastery of the new vocabulary among early adolescent learners, it is suggested to present the words in learners’ first language instead of presenting them in lengthy English explanations. The study has practical implications not only for early adolescent EFL learners’ classrooms but also for other learners of different age groups to maximize their vocabulary learning and performance through teachers’ justified amount of L1 use.

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.

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.

In the second language (L2) assessment realm, cognitive diagnostic assessment (CDA) emerges as an exceptionally practicable methodology, enabling a meticulous analysis of linguistic competencies and furnishing granular insights into learners’ proficiencies and deficiencies, thereby charting precise remedial pathways. The primary objective of this research was to develop a cognitive model of attributes underlying an International English Language Testing System (IELTS) assessment descriptor, namely grammatical range and accuracy. The model sought to enable the development of a diagnostic instrument informed by CDA, which would investigate candidates’ grammatical strengths and weaknesses to improve their performance in the IELTS. Through a multi-stage process involving qualitative data collection, interpretation, and synthesis, a comprehensive scheme emerged, categorizing cognitive attributes into two main areas: (a) knowledge of grammatical forms, including pronouns, determiners/quantifiers, adjectives, adverbials, nouns/noun phrases, verbs/tenses, and prepositions, and (b) familiarity with structural nuances, including punctuation and structural sophistication. These nine micro-level attributes comprised several sub-components aligned with three proficiency classes: A1-A2, B1-B2, and C1-C2. The model laid the groundwork for developing a three-booklet multiple-choice test. Alongside conducting pilot testing and item analysis, the study employed a saturated psychometric model to validate the CDA-informed instrument. The results confirmed the instruments’ internal consistency, validity, satisfactory fit, and effectiveness in classifying examinees based on attribute-specific mastery levels. The findings underscored severe weaknesses in punctuation, structural complexity, and verb tense usage, pinpointing crucial areas demanding targeted instructional enhancement. The theoretical implications highlight a refined understanding of grammatical competencies, while pedagogically, the results advocate for targeted teaching strategies.