This study explored the effects of interacting with ChatGPT 4.0 on L2 learners’ motivation to write English argumentative essays. Conducted at a public university in a non-English-speaking country, the study had an experimental and mixed-methods design. It utilized both quantitative and qualitative data analyses to inform the development of effective AI-enhanced tailored interventions for teaching L2 essay writing. Overall, the results revealed that interacting with ChatGPT 4.0 had a positive lasting effect on learners’ motivation to write argumentative essays in English. However, a decline in their motivation at the delayed post-intervention stage suggested the need to maintain a balance between utilizing ChatGPT as a writing support tool and enhancing their independent writing capabilities. Learners attributed the increase in their motivation to several factors, including their perceived improvement in essay writing skills, the supportive learning environment created by ChatGPT as a tutor, positive interactions with it, and the development of meta-cognitive awareness by addressing their specific writing issues. The study highlights the potential of AI-based tools in enhancing L2 learners’ motivation in English classrooms.

The emphasis in L2 learning has mainly focused on individual writers and monomodal academic genres (e.g. narration, argumentation), neglecting the potential of collaborative composing and the use of digital genres that introduce additional semiotic sources, for fear of having to deal with “a messy transition to digital multimodal communication” (Lotherington, 2021: 220). Yet, because Web 2.0 technological upgrades have enabled interactivity, literacy has morphed from discretely reading and writing a static page to dynamically reading and writing a multimodal one, which underpins collaborative authorship and (local and global) audience awareness. Considering the inclusion of working collaboratively with multimodal tasks in the L2 classroom, the question of how to help students effectively incorporate multimodal with academic monomodal texts remains unanswered. In response to this challenge, this study examines the design and implementation of an online task to foster multiliteracies. Thirty-seven international students of diverse disciplines (e.g. economics, engineering, history), enrolled in a Spanish as a second language course, worked collaboratively to create multimodal texts based on previously created monomodal texts. Informed by a student questionnaire and a teacher focus group, we analyzed both students’ and teachers’ perceptions to ascertain the effectiveness of the intervention and the possibilities these kinds of tasks bring to the foreign language classroom. Both sets of participants reported positive results concerning linguistic advancement, motivation, and multiliteracies development. Pedagogical recommendations related to the inclusion of this pedagogical practice are provided.

Blended language learning has recently experienced substantial growth, offering numerous potential benefits such as increased learning opportunities and personalization. However, digital inequalities persist, particularly affecting vulnerable groups like migrants with limited education. While the integration of technology in adult education may pose additional challenges for these groups, online learning paradoxically holds the promise of enhancing their basic skills. This study addresses this apparent contradiction, focusing on blended learning in Dutch second language (L2) education in Flanders (Belgium) for L2 learners with emerging literacy and limited formal education, representing the most vulnerable subgroup of L2 learners. This group is referred to as LESLLA learners (LESLLA is an acronym for Literacy Education and Second Language Learning for Adults). Through a combination of a systematic literature review and a needs analysis of stakeholders, including LESLLA learners themselves, the study explores the benefits and challenges of blended learning for LESLLA learners. The study reveals that while many affordances and limitations for adult L2 learners in general also apply to LESLLA learners, the significance varies based on their characteristics, curriculum goals, and context. In order to realize the affordances, while also tackling the challenges, effective blended education for low-literate L2 learners requires (1) a thoughtful design of the blend, in which instructional design principles are integrated with didactic principles for L2 teaching; (2) effective teacher conduct; and (3) powerful policy of adult education centers. This paper outlines the characteristics of each component, offering insights to strengthen blended L2 learning experiences for LESLLA learners.

Increasing global digitalization is changing the everyday language skills required to participate in society, to carry out professional activities, and to take advantage of educational opportunities. As a result, new linguistic and digital competences are required for migrants. At the same time, digitalization offers new potential for learner-oriented language learning. In this article, we compare the results of two studies on teachers of adult multilingual migrant learners. These teachers instruct learners at different levels of literacy and with varied prior formal learning experiences. Both studies are situated in the German education system. The results illustrate how teachers and learners can work together using digital technologies to promote language learning. We explore the opportunities for effective, multilingual, and motivating language learning, as well as the challenges faced by learners and teachers, pointing to the need for further training in digital technology for both groups.

Migrants encounter multiple challenges, such as learning new languages and adapting to a new life. While digital technologies help them learn, limited research has been conducted on their digital skills development. In this article, we report on migrants’ digital skills development while learning language through culture using a web app developed by an EU-funded project that aimed to promote social cohesion through a two-way exchange of knowledge and skills. Forty-six migrant and 43 home community members in Finland, Spain, Türkiye, and the UK participated in intercultural and intergenerational pairs to engage with and co-create interactive digital cultural activities in multiple languages. Participants’ digital, linguistic and cultural gains were measured before and after the workshops. We report on participants’ digital skills, measured by a digital competence self-assessment tool developed based on DigComp, and interviews with the participants. Quantitative data were analysed using descriptive and inferential statistics. Qualitative data were analysed deductively using the categories of the DigComp framework. Findings indicate statistically significant improvement in migrants’ self-reported digital skills. Highest gains were in the competency area of digital content creation. Comparison of migrants’ digital skill development with that of home community members did not show any statistically significant differences, supporting our argument against the deficiency perspective towards migrant populations. Interview data suggested overall positive evaluations and highlighted the role of the web app instructions for content creation. We conclude with suggestions for further research and argue for inclusive pedagogies, emphasising how both community members learned from and with each other during the workshops.

While previous studies in computer-assisted language learning have extensively explored sociolinguistic factors, such as cultural competence, important psycholinguistic factors such as online L2 motivational self-system, L2 grit, and online self-regulation in relation to virtual exchange (VE) have remained widely unexplored. To address this gap, a study was conducted with 92 Spanish English as a foreign language learners who exchanged language and culture with Cypriot and Irish students and responded to questionnaires adapted for the study context, as part of the SOCIEMOVE (Socioemotional Skills Through Virtual Exchange) Project. The partial least squares structural equation modeling approach showed that language learners who set positive personal goals for the future and evaluate their current learning progress in VE can regulate their learning in it. Interestingly, the sign of authenticity gap was found in the study context, since learners’ motivation to learn in VE was higher compared to their previous language learning contexts, resulting in more effort and consistency of interest in setting their goals, evaluating their progress, and asking for help from others. Furthermore, learners’ L2 grit moderated and mediated the correlation between learners’ online motivation and online self-regulation, indicating that VE success requires long-term perseverance of effort and consistency of interest. Accordingly, a new conceptual framework for VE was developed. In addition, one of the main implications is that teachers who employ VE should focus more on learners’ current needs and the goals they wish to achieve when exchanging information rather than only focusing on their accomplishments based on the course syllabus.

The highly digitalised nature of contemporary society has made digital literacy important for newly arrived migrants. However, for teachers, the use of information and communication technologies can be challenging. The aim of the present study is to gain a deeper understanding of how teachers perceive digital resources as useful for teaching migrants language and subject skills. The research question is, In what way do teachers at the language introduction programme for newly arrived migrants in Sweden articulate the use of digital resources in relation to language teaching and in relation to subject teaching? This qualitative study is based on observations of 28 lessons in different subjects in the language introduction programme, as well as interviews with the observed teachers. In analysing the material, we first used the TPACK in situ model (Pareto & Willermark, 2019) to organise the data on the use of digital resources, and thereafter discourse theory (Howarth, 2005) was used to analyse the data. The results show that the teachers limited their students’ use of digital resources during the lessons, which is apparent in two discourses: distrust and dichotomy. In the discourse on distrust, digital technology is seen as an obstacle to teaching, and the discourse dichotomy is about the opposition between the digital and the physical. Moreover, articulations were often expressed in terms of identity; the teachers talked about themselves in relation to digital resources, rather than talking about how they use digital resources in their teaching.

Drawing upon Darvin and Norton’s (2015) model of investment, this article examines how Xing and Jimmy (both pseudonyms) as two male Chinese English as a foreign language learners from rural migrant backgrounds negotiate their identities and assemble their social and cultural resources to invest in autonomous digital literacies for language learning and the assertion of a legitimate place in urban spaces. Employing a connective ethnographic design, this study collected data through interviews, reflexive journals, digital artifacts, and on-campus observations. Data were analyzed using an inductive thematic approach as well as within- and cross-case data analysis methods. The findings indicate that Xing and Jimmy experienced a profound sense of alienation and exclusion as they migrated from under-resourced rural spaces to the urban elite field. The unequal power relations in urban classrooms subjected them to marginalized and inadequate rural identities by denying them the right to speak and be heard. However, engaging with digital literacies in the wild allowed these migrant learners to access a wide range of linguistic, cultural, and symbolic resources, empowering them to reframe their identities as legitimate English speakers. The acquisition of such legitimacy enabled them to challenge the prevailing rural–urban exclusionary ideologies to claim the right to speak. This article closes by offering implications for empowering rural migrant students as socially competent members of the Chinese higher education system in the digital age.

This three-year longitudinal case study explored how trilingual Uyghur intranational migrant students utilized digital technologies to learn languages and negotiate their identities in Han-dominant environments during their internal migrations within China, a topic that has been scarcely researched before. Adopting a poststructuralist perspective of identity, the study traced four Uyghur students who migrated from underdeveloped southern Xinjiang to northern Xinjiang for junior high school education, and to more developed cities in eastern and southern China for senior high school education and higher education. A qualitative approach was adopted, utilizing semi-structured interviews, class and campus observations, daily conversations, WeChat conversations, participants’ reflections, and assignments. Findings reveal that Uyghur minority students utilized digital technologies to bridge the English proficiency gap with Han students, negotiate their marginalized identities, integrate into the mainstream education system, and extend the empowerment to other ethnic minority students. This was in sharp contrast to the significant challenges and identity crises they faced when they did not have access to digital technologies to learn Mandarin in boarding secondary schools. An unprecedented finding is that, with digital empowerment, Uyghur minority students could achieve accomplishments that were even difficult for Han students to attain and gain upward social mobility by finding employment in Han-dominant first-tier cities. The implications of utilizing digital technologies to support intranational migrant ethnic minority students’ language learning and identity development are discussed.

This article addresses a critical gap in international research concerning digital literacies and empowerment among adults who are English as an additional language (EAL) learners. In the Australian context, where digital communication and services are embedded in all aspects of life and work, proficiency in digital literacies, including advanced technologies like generative artificial intelligence (AI), is vital for working and living in Australia. Despite the increasing prevalence and significance of generative AI platforms such as ChatGPT, there is a notable absence of dedicated programs to assist EAL learners in understanding and utilising generative AI, potentially impacting their employability and everyday life. This article presents findings from a larger study conducted within training providers, spanning adult educational institutions nationwide. Through analysis of data gathered from surveys and focus groups, the article investigates the knowledge and attitudes of students, educators, and leaders regarding integrating generative AI into the learning program for adult EAL learners. The results reveal a hesitance among educators, particularly concerning beginning language learners, in incorporating generative AI into educational programs. Conversely, many adult learners demonstrate enthusiasm for learning about its potential benefits despite having limited understanding. These disparities underscore the pressing need for comprehensive professional development for educators and program leaders. The findings also highlight the need to develop the AI literacy of learners to foster their understanding and digital empowerment. The article concludes by advocating for a systemic approach to include generative AI as an important part of learning programs with students often from adult migrant and refugee backgrounds.

The advent of generative artificial intelligence (AI) models holds potential for aiding teachers in the generation of pedagogical materials. However, numerous knowledge gaps concerning the behavior of these models obfuscate the generation of research-informed guidance for their effective usage. Here, we assess trends in prompt specificity, variability, and weaknesses in foreign language teacher lesson plans generated by zero-shot prompting in ChatGPT. Iterating a series of prompts that increased in complexity, we found that output lesson plans were generally high quality, though additional context and specificity to a prompt did not guarantee a concomitant increase in quality. Additionally, we observed extreme cases of variability in outputs generated by the same prompt. In many cases, this variability reflected a conflict between outdated (e.g. reciting scripted dialogues) and more current research-based pedagogical practices (e.g. a focus on communication). These results suggest that the training of generative AI models on classic texts concerning pedagogical practices may bias generated content toward teaching practices that have been long refuted by research. Collectively, our results offer immediate translational implications for practicing and training foreign language teachers on the use of AI tools. More broadly, these findings highlight trends in generative AI output that have implications for the development of pedagogical materials across a diversity of content areas.

Informal digital learning of English (IDLE) is a promising way of learning English that has received growing attention in recent years. It has positive effects on English as a foreign language (EFL) learners and also creates valuable opportunities for EFL teachers to improve their teaching skills. However, there has been a lack of a valid and reliable scale to measure IDLE among teachers in EFL contexts. To address this lacuna, this study aims to develop and validate a scale to measure IDLE for EFL teachers in Iran. For this purpose, a nine-step rigorous validation procedure was undertaken: administering pilot interviews; creating the first item pool; running expert judgment; running interviews and think-aloud protocol; running the pilot study; performing exploratory factor analysis, Cronbach’s alpha, and confirmatory factor analysis; creating the second item pool; conducting expert reviews; and performing translation and translation quality check. Findings yielded a 41-item scale with six subscales: IDLE-enhanced benefits (12 items), IDLE practice (five items), support from others (nine items), authentic L2 experience (three items), resources and cognition (four items), and frequency and device (eight items). The scale demonstrated satisfactory psychometric properties such that it can be used for research and educational purposes in future.

This study explores the integration of generative artificial intelligence (GenAI) in informal digital learning of English (IDLE) practices, focusing on its potential to enhance language learning outcomes and addressing the technological challenges language teachers face in utilising AI-based tools to facilitate second language acquisition. Based on the research context of IDLE and holistic learning ecology and drawing on the theoretical frameworks of technological pedagogical and content knowledge and social cognitive theory, we performed a mixed-methods investigation with an empirical experiment to assess the effectiveness of GenAI followed by semi-structured interviews. The results suggest that the GenAI-mediated IDLE practices effectively improve college students’ oral proficiency in English from both technological and humanistic perspectives. However, results also indicate that the GenAI conversational partner alone is not adequate to provoke continuous extramural GenAI-mediated IDLE practices. We discuss the theoretical and pragmatic significance of GenAI-mediated IDLE in educational equity and reformation.