mobile-assisted language learning

The marriage between technology and teaching in educational milieus in recent years has been a major concern among educational researchers in general and applied linguists in particular as far as augmented reality (AR) and virtual reality (VR) are concerned. Augmented reality after virtual reality received much attention over the last decades in mobile assisted language learning context. AR mixes virtual world onto real environment, VR delve the participants in to the virtual world. To examine the effect of AR and VR on abstract writing of EFL students, 12 intermediate proficiency pairs (high and low proficiency) participated based on their scores on TOEFL and a hypothetical abstract writing task. The participants were required to write an abstract according to the sub-moves of Hyland's (2000) move analysis provided through three mobile applications including AR-, VR HeadSet virtual reality-, and paper-based scaffoldings for four weeks in a collaborative context. In evaluating the groups' abstract writing scores before and after the treatment, no significant differences were found among the three groups. However, the AR group revealed better mean average results ( M = 33) compared to the other VR ( M = 24) and paper-based groups ( M = 29). Besides, the low intermediate proficiency subjects in the AR group received higher scores ( M = 40) compared to heir higher counterpart ( M = 37). Results imply that the integration of real and unreal worlds might be a good asset in teaching the genre of abstracts to EFL learners in general and low intermediate proficiency learners in particular.

Over the last decade, Mobile-assisted Language Learning (MALL) has led to an authentic and contextual language learning process across the globe (Kukulska-Hulme, 2009). It has played a pivotal role in language learning in general and vocabulary learning in particular as a building block of academic writing. The current study examined the effect of a mobile application (i.e. AWL builder) on academic vocabulary learning among sophomore university students in applied linguistics. The study also focused on measuring students' perceptions and problems in utilizing mobile-assisted applications in acquiring English academic vocabulary. Accordingly, using convenience sampling procedures the participants were divided into experimental (N =36) and control (N = 36) groups. The experimental group used a mobile application (i.e. AWL builder), while the control group used a traditional approach. Furthermore, to answer research questions academic vocabulary pre-and post-tests and a questionnaire were employed. The findings show that the AWL group showed prominent performance in academic vocabulary tests. The current study concludes that instructors should take into account mobile devices as useful supplementary tools to enhance L2 academic word retention and include them in regular language curriculum.

Despite the increased research on various aspects of academic optimism (AO) in general education, this line of inquiry has not received adequate empirical attention in English language teacher education. The present mixed-methods study aimed to explore the role of AO in MALL-oriented listening instruction among Iranian EFL teachers, with a focus on variations in their experience ranges. A total of 168 teachers participated in the study and completed the study scales, and 15 teachers with higher levels of perceived AO were further interviewed to gather qualitative data. Descriptive and inferential statistics were used to examine the quantitative data, while thematic analysis was conducted to analyze the qualitative data. The quantitative results indicated significant differences between novice, experienced, and highly experienced language teachers, with the latter holding more positive beliefs about AO and MALL in relation to listening. Additionally, a significant correlation was found between AO and MALL. The qualitative findings complemented the quantitative results by highlighting the pivotal role of academic optimism in driving teachers’ motivation, the positive impact of teachers’ optimistic attitudes on student engagement and motivation, and the pedagogical strategies employed by optimistic teachers to effectively incorporate MALL in their instructional practices. These findings provide implications for teachers and teacher educators, emphasizing the importance of integrating AO principles in MALL-related professional development courses to positively contribute to teachers’ professional growth. The study contributes to the limited empirical research on AO within the context of English language teacher education and provides valuable insights into the complex interplay between academic optimism, MALL-oriented listening instruction, and teacher-student interactions.

The growing popularity of language-learning apps among language learners has highlighted the need for rigorous evaluation of their efficacy in second language acquisition (SLA). This study combined quantitative measures to comprehensively understand the effectiveness of the Busuu app in improving the productive vocabulary of Iranian intermediate EFL learners with qualitative data from in-depth interviews to explore their perceptions and experiences while using the app. Forty-three learners (17 males and 26 females with a mean age of 27.53) were selected to assess the effectiveness of the Busuu app on learners’ productive vocabulary knowledge. Among them,15 participants (all female with a mean age of 29.40) agreed to be interviewed after the Busuu study to gain insights into learners’ perceptions and experiences with app-based learning. A pretest-posttest design using the LEX30 task, a standardized productive vocabulary assessment tool, was conducted before and after the Busuu study to evaluate participants’ productive vocabulary knowledge. Paired samples t-tests revealed no significant improvement in participants’ productive vocabulary knowledge. Nonetheless, the number of responses produced in the posttest was higher than in the pretest. According to the interview data, users rated vocabulary as the most favored feature of the app, while restricted access to premium content was noted as the least favored. Most participants acknowledged that the app exceeded their initial expectations before installing it. Additionally, improving vocabulary knowledge was the users’ primary expectation from utilizing the app. Furthermore, approximately all participants found the app beneficial for language learning. However, most of them reported low levels of enjoyment during app usage. The results can contribute to understanding what needs to be done to upgrade the quality and potential of the Bussu app, how the app can better support EFL learners in effectively activating their lexical knowledge, and what the users’ experiences and expectations from a language-learning app are.

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.