• Generative AI can help multilingual communicators in professional writing. • Generative AI supports email/report writing and meeting summary. • Practical, ethical and legal concerns remain. • Students’ AI use at workplace informs academic writing teaching and learning. Because multilingual students’ languaging practices are not limited to academic settings, it is important to explore their lived experiences communicating in real-world situations to shed light on how to prepare them in college classrooms in the era of generative AI. Drawing upon writing samples, artifacts and interview data, this case study brings attention to the potential and challenges a multilingual international student face in implementing generative AI-assisted written communication during her 5-month internship in the workplace. The findings indicate that generative AI tools, especially ChatGPT, have the potential to help multilingual communicators meet their written linguistic demands in professional contexts, especially in email writing, report drafting and meeting summary. Generative AI-assisted writing tools could assist multilingual students with idea expression and boost their confidence and agency in communication. Yet, despite its many advantages, practical, ethical and legal concerns remain. This study contributes to the scarce yet budding literature exploring multilingual international students’ AI engagement in professional settings and offers concrete pedagogical implications and directions for future research.

• Postgraduates engaged behaviorally, affectively, and cognitively with GenAI feedback. • Postgraduates dealt with ChatGPT primarily as a tool for refining their proposals, not for generating content. • Postgraduates demonstrated agency by actively questioning, annotating, and negotiating feedback. • Postgraduates engaged in diverse affective responses, ranging from appreciation to frustration. As Generative artificial intelligence (GenAI) tools such as ChatGPT are becoming increasingly integrated into English as a Foreign Language (EFL) academic writing context, learners’ engagement with AI-generated feedback remains insufficiently examined. This case study investigated how four Chinese EFL postgraduates joining a course in a Malaysian university engaged with ChatGPT feedback while revising their academic research proposals. The study triangulated screen recordings, pre- and post-revision drafts, and stimulated recall interviews. Participants displayed a range of behavioural strategies, including accepting, questioning, rejecting suggestions, annotating visually, and seeking external validation. Affective responses ranged from appreciation and curiosity to doubt and frustration, particularly when feedback appeared conflicting or imprecise. Cognitively, learners applied various strategies such as evaluating, comparing, negotiating feedback, and regulating its use. Yet, they showed differing levels of engagement, shaped by individual perceptions and writing intentions. Importantly, participants regarded ChatGPT as a tool for linguistic refinement rather than content generation. Overall, the findings revealed that learners did not passively receive feedback but interacted with it in agentive and critical ways. The study highlights the interplay among these three dimensions of engagement and the importance of individual differences when evaluating the pedagogical potential of GenAI-generated feedback in academic writing.

How can posthumanism help us reframe AI-mediated literacy practices? And what implications does such reframing have for cultivating AI literacy in language and literacy education? This article explores these two imperative questions through a case study analyzing two multilingual undergraduate students’ meaning-making and meaning-negotiation intra-actions with AI technologies in a writing classroom. The case study reveals a productive tension between these students’ experiments with posthumanist literacy and their entrenched humanistic assumptions. Ultimately, through the case study, the authors hope to demonstrate that reframing and re-engaging with AI literacy through a posthumanist lens may offer students and educators a relational approach to developing and cultivating AI literacy.

This case study investigates how two ESL graduate students, Ian and Sam, use ChatGPT in their research writing after receiving a comprehensive tutorial based on Warschauer et al.’s (2023) AI literacy framework. We analyzed their engagement with ChatGPT across prompt categories including genre, content, language use, documentation, coherence, and clarity. Data were collected from research paper drafts, ChatGPT chat histories, and interviews. Data analyses included coding ChatGPT prompts, textual analysis of drafts, and thematic analysis of interview transcripts . Results show that while both participants utilized ChatGPT for understanding genre conventions and content development, they developed distinct approaches reflecting their individual backgrounds. Ian selectively used ChatGPT for specific assistance needs, while Sam engaged more systematically, particularly for APA style and coherence checks. Both approaches maintained academic integrity and scholarly voice, demonstrating that Generative AI tools can be effectively tailored to individual needs without compromising ethical standards. This study highlights how advanced ESL writers can adapt GenAI tools to their unique writing processes, offering insights into the diverse ways AI can enhance academic writing while preserving individual agency. The findings suggest that AI integration in academic writing can be customized to support diverse writing goals and backgrounds.

• Composing process focus including screen recording and think aloud protocols. • 11 explicit composing process activities are defined and described. • Establishes explicit metalanguage for digital multimodal composing teaching & research. • Includes illustrations of complexity of multimodal composing. Daily writing practices occur in digital environments and are often multimodal. Studies have attempted to interpret composing processes in these environments through text-based lenses and findings have yet to explicitly or effectively define and illustrate the complexities. This case study explores processes and activities of 5th-grade students as they compose using digital tools, multimodal resources, and navigate the opportunities those tools and resources afford. Findings suggest 11 process activities; three unique to digital multimodal environments, and all having influences of the digital and multimodal environments in which composing takes place. Results 1) demonstrate the potential to develop a specific metalanguage for digital multimodal composing, 2) begin to inform a specific digital lens for interpreting composing in these 21 st century environments and 3) help practitioners design instruction that best support student composers in classroom contexts.

• Hispanic women engage more in check-in assignments than men. • Hispanic enrollment (37.71 %) exceeds community college average. • Main themes: course perceptions, personal challenges, faculty-student relations. • Check-in assignments enhance engagement and faculty-student bonds for Hispanic women. • Advanced course students report more personal challenges, greater faculty reliance. While online community college students’ engagement with coursework, class retention, and motivation to participate are critical for academic success, these needs often go unmet for diverse and underrepresented populations, especially in the absence of culturally responsive and inclusive teaching practices. This study contributes to the limited research on culturally responsive pedagogy in online community college settings by exploring the implementation and impact of high-context communication practices in that setting, with a focus on improving engagement and academic outcomes for diverse student populations. Drawing on frameworks of culturally responsive teaching and high-context communication, the research examines the effectiveness of “check-in assignments” as a low-stakes, personalized intervention designed to foster stronger faculty-student relationships, enhance student belonging, and bridge cultural communication gaps in online learning environments. Using a mixed-methods approach, the study analyzes quantitative data on assignment engagement and qualitative themes from student responses. Findings indicate that high-context communication practices promote deeper engagement, especially among Hispanic and non-Hispanic females, while highlighting disparities in engagement among male students. Key themes—course perceptions, personal challenges, and faculty-student relationships—underscore the role of culturally informed interventions in addressing the needs of underrepresented groups and enhancing engagement and academic success. Future research could expand on these findings by exploring longitudinal outcomes and adaptive strategies for diverse learning environments.

• This study explores GenAI's role in multimodal composition, including Adobe Firefly and DALL·E. • GenAI reshapes the composition stages of invention, designing, and revising. • Despite its limitations, GenAI offers alternative solutions to wicked problems. • Post-GenAI use, students critically revise and iterate their compositions. • The study contributes to future research and teaching of AI-assisted composition. This study explores the integration of generative artificial intelligence (GenAI) design technologies, including Adobe Firefly and DALL·E, into the teaching and learning of multimodal composition. Through focus group discussions and case studies, this paper demonstrates the potential of GenAI in reshaping the various stages of the composition process, including invention, designing, and revising. The findings reveal that GenAI technologies have the potential to enhance students’ multimodal composition practices and offer alternative solutions to the wicked problems encountered during the design process. Specifically, GenAI facilitates invention by offering design inspirations and enriches designing by expanding, removing, and editing the student-produced design contents. The students in this study also shared their critical stance on the revision process by modifying and iterating their designs after their uses of GenAI. Through showcasing both the opportunities and challenges of GenAI technologies, this paper contributes to the ongoing scholarly conversations on multimodal composition and pedagogy. Moreover, the paper offers implications for the future research and teaching of GenAI-assisted multimodal composition projects, with the aim of encouraging thoughtful integration of GenAI technologies to foster critical AI literacy among college composition students.

In this paper, we demonstrate how studying the rhetorics of ChatGPT prompt writing on social media can promote critical AI literacies. Prompt writing is the process of writing instructions for generative AI tools like ChatGPT to elicit desired outputs and there has been an upsurge of conversations about it on social media. To study this rhetorical activity, we build on four overlapping traditions of digital writing research in computers and composition that inform how we frame literacies, how we study social media rhetorics, how we engage iteratively and reflexively with methodologies and technologies, and how we blend computational methods with qualitative methods. Drawing on these four traditions, our paper shows our iterative research process through which we gathered and analyzed a dataset of 32,000 posts (formerly known as tweets) from X (formerly Twitter) about prompt writing posted between November 2022 to May 2023. We present five themes about these emerging AI literacy practices: (1) areas of communication impacted by prompt writing, (2) micro-literacy resources shared for prompt writing, (3) market rhetoric shaping prompt writing, (4) rhetorical characteristics of prompts, and (5) definitions of prompt writing. In discussing these themes and our methodologies, we highlight takeaways for digital writing teachers and researchers who are teaching and analyzing critical AI literacies.

In this article, we draw on focus group interviews collected for the Wayfinding Project to explore how university alumni orient themselves as writers while participating in social media after graduation. By looking at alumni's self descriptions of their writing processes across public networks, we are able to trace pathways that recognize the rhetorical and communicative intentions of users, while also acknowledging the roles that serendipity, creativity, and the unexpected play in shaping these literate practices. Specifically, we point to how these alumni describe their experiences as they adapt to addressing audiences across different platforms and confront the “reach” of those platforms for engaging unexpected audiences. Several focus group participants use the term “branding” as a way to describe how they conceive of their writing across multiple social networks. These participants describe their public, networked writing as a form of managing their identities at the same time that they are “branding” themselves to manage the expectations of multiple audiences. In sum, our research shows us how the unexpected audiences generated through social media participation operate in tension with writers’ deliberate shaping of their messages and their self-presentation.

In this article, an analysis of multimodal representations in elementary school students’ descriptive texts about the mobile game Pokémon Go (PG) is used to discuss youths’ new literacy practices emerging from their out-of-school experiences (e.g., gaming, producing game-walkthroughs, and fan art). Social semiotic multimodal analyses of two students’ PG texts and their participation in talks around their texts are used to exemplify what occurs semiotically in the translation of meanings and designs across modes, media, and sites. Combining the analysis of the meaning potentials of multimodal representations with ethnographic accounts of their use in context produces the following findings: The PG writing task connects with the students’ life-worlds and the gaming context around PG prompts the design of their multimodal representations. The students are active creators of content and demonstrate purposeful and innovative uses of semiotic resources in self-representation, stance taking, and audience awareness. The iPad facilitates multimodal and digital crossovers between leisure activities and school subjects. The concluding discussion suggests how game-based literacy practices could be transferred into academic settings.