تحقیقات کاربردی زبان انگلیسی - Applied Research on English Language

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.

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.

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.

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.

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.

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.