• Year 7 students can learn to code engaging animated narratives with basic Scratch. • English teachers can learn to sufficient coding to support students coding stories. • Student animated narratives of 2 – 3 min can meet English curricula requirements. • Student multimodality use can be evaluated using a criterion-based framework. • Student coding proficiency can be extended through coding animated narratives. Coding animated stories in the English classroom has been advocated from over a decade ago as an integrated curriculum context for early teaching of computer programming while simultaneously developing students’ multimodal narrative authoring. However, related research has not adequately addressed English curriculum requirements for narrative creation. This article describes the development of a framework for analysing coded animated stories from the perspective of English curriculum expectations. Analysis of 23 stories showed substantial variation in the emphasis given to different multimodal resources among those stories with the most extensive use of such resources. Stories with limited use of these resources excluded those expressing characters’ emotions and positioning the audience to experience the story from a variety of points of view. Stories with extensive multimodal expression were at the upper, but not necessarily highest, coding proficiency levels, while some with high coding proficiency showed limited use of multimodal resources. Implications are drawn for coding as an engaging creative tool in English classrooms.

• 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.

Effective source use is a critical skill for first-year writing students because it prepares them for academic, professional, and civic engagement; however, existing research demonstrates that selecting appropriate sources and engaging them insightfully remains a significant challenge. While students struggle with the combined pressures to read, evaluate, and synthesize scholarly sources, we argue that online media including news articles, opinion pieces, and social media posts are a potent but underutilized resource for building students’ competence and confidence with source use. In this article, we present the methods that we have collaboratively developed as an instruction librarian and a first-year writing instructor to propose a new approach to teaching undergraduate research using online media. We detail strategies for teaching advanced search skills using Google and social media platforms like Reddit and X (formerly Twitter), as well as a “reception study” writing assignment that requires students to develop source evaluation and synthesis skills for engaging these online sources. The success of our module highlights that enabling students to build their research skills in the context of these more familiar source formats can lead them to an enriched understanding of the research process—including formulating an authentic research inquiry and engaging meaningfully with real audiences—while also building their skills in accessing, evaluating, and synthesizing diverse sources. Furthermore, by developing research skills in the context of social media platforms and online popular media sources, students gain a practical sense of the relevance of academic research skills to their daily research habits.

In this paper, I explore first-year students' self-reported preferences for choosing source material in a digital, research-based writing setting. I argue that widespread skepticism towards online information has led to an "objectivity bias," where students prefer sources perceived as neutral and objective. Through qualitative interviews, I report that this bias may result in an overreliance on data-driven and empiricist sources, often at the expense of valuable personal narratives and experiential knowledge. I highlight the role of digital platforms and search algorithms in shaping these preferences and discuss the implications for teaching information literacy.

• 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 article explores teaching writing with generative AI as critical play where students and teachers engage in an ethically dialectical and aleatory game with generative AI. I qualitatively surveyed 24 writing teachers about how they teach writing with generative AI as well as its advantages and disadvantages. I discovered that teachers used generative AI to teach about the ethics of generative AI's design and rhetorical use to avoid plagiarism. Teachers also critically played with generative AI to teach the writing process of invention, drafting, revision, and editing. Specifically, the critical, dialectical interplay of human and machine invents in aleatory and emergent ways, creating moments of epiphany for students and teachers within the writing process for invention, drafting, revision, and editing while the real time pace of generative AI democratizes education, making writing and teaching more accessible for them.

The question of how generative Artificial Intelligence (Gen AI) will reshape communication is causing questions and concerns across the field of education, particular literacy and writing classrooms. Although important questions have surfaced surrounding the varied effects on writing instruction and ethical implications of AI in the classroom, there are calls for deeper investigations about how these tools might shape multimodal composing processes. This study builds upon this developing field by exploring how 21 university students in literacy education courses multimodally composed with generative AI and their perspectives on the use of AI in the classroom. Data sources included screen capture and video observations, design interviews, pre- and post- surveys, and multimodal products. Through qualitative and multimodal analysis, four main themes emerged for understanding preservice teachers’ multimodal composing processes: (1) composing was an iterative process of prompting guided by the AI tools, (2) composers exhibited two distinct processes when designing their projects, (3) AI shaped creative possibilities, and (4) play, humor, and surprise served a key function while composing. Preservice teachers’ perspectives also revealed insights into how AI shaped engagement with content, the importance of scaffolding AI in the classroom, and how ethics were intertwined with technical function and teaching beliefs.

• 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.

This paper examines ChatGPT's use of evaluative language and engagement strategies while addressing information-seeking queries. It assesses the chatbot's role as a virtual teaching assistant (VTA) across various educational settings. By employing Appraisal theory, the analysis contrasts responses generated by ChatGPT and those added by humans, focusing on the interactants’ attitude, deployment of interpersonal metaphors and evaluations of entities, revealing their views on Australian cultural practice. Two datasets were analysed: the first sample (15,909 words) was retrieved from the subreddit r/AskAnAustralian and the second (10,696 words) was obtained by prompting ChatGPT with the same questions. The findings show that, while human experts mainly opt for subjective explicit formulations to express personal viewpoints, the chatbot's preference goes out to incongruent ‘it is’-constructions to share pre-programmed perspectives, which may reflect ideological bias. Even though ChatGPT displays promising socio-communicative capabilities (SCs), its lack of contextual awareness, required to function cross-culturally as a VTA, may lead to considerable ethical issues. The study's novel contribution lies in the in-depth investigation of how the chatbot's SCs and lexicogrammatical selections may impact its role as a VTA, highlighting the need to develop students’ critical digital literacy skills while using AI learning tools.

This article describes five first-year writing instructors’ experiences with personalizing shared curriculum across three different course delivery formats (face-to-face, hybrid, online). The data is drawn from teaching journals that the co-authors, a non-tenure track, part-time Lecturer and a tenured Writing Program Administrator, and three Graduate Student Teaching Associates completed throughout Fall 2022. The findings illustrate both benefits and drawbacks related to shared curriculum: discussing and troubleshooting curriculum in a community of practice is highly valuable, but separating course delivery from course design is challenging. In our study, those challenges manifested as disconnects between course content and disciplinary identity, as well as personal feelings of failure. On the other hand, the need to personalize shared curriculum across multiple delivery formats proved productive, especially when instructors used asynchronous online materials as a starting point to develop hybrid and face-to-face lesson plans. Ultimately, we advocate for more conversations about how writing programs can support contingent faculty as they personalize shared curriculum through both course delivery and design, and we offer an example of a successful community of practice that revises shared curriculum in response to community members’ experiences with teaching in multiple modalities.

We share our experiences working with large-language model generative AI for a full semester in a professional writing course, integrating it into all projects. We discuss how we adapted our teaching, learning, and writing to using (or purposefully not using) AI. Issues we discuss include balancing integration of AI to avoid potential overreliance, the importance of centering authorial agency and decision-making, negotiating grading and evaluation, the benefits and drawbacks of AI throughout the writing process, and the relationships we build or could build with AI. We close with recommendations for faculty and students.

As a component of the Community of Inquiry Framework, social presence is typically defined as students “feeling real” enough to interact with and learn from peers online. This article complicates social presence for an online writing instruction (OWI) context, differentiating between social presence, social comfort, attitudes about online learning, and social learning. The study was initially designed to examine graduate students’ perceptions of social presence as an element of online teaching and learning in two sections of an Online Composition Pedagogy course offered in Spring 2020 and Summer 2020. The COVID-19 pandemic intensified the project, since students were now learning about hybrid and online pedagogy against the backdrop of their own experiences as emergency remote students and teachers. Analysis of 21 students’ reflections written during the courses indicates that distinguishing between social presence per se and social comfort, attitudes, and learning helps to account for the individual and social contexts of course participants. Ultimately, this article argues that simply inviting students to “feel real” or positioning yourself as a “real” instructor is not sufficient for establishing the types of social interactions that composition studies values.

Over the past decade, compositionists have made a number of claims about opportunities presented by Wikipedia for teaching writing. The encyclopedia allows for transparent observation of concepts and skills related to process, research, collaboration, and rhetoric. Beyond observation, Wikipedia allows for public writing with an authentic audience, which often results in increased motivation. Much of this early research has dealt in opportunities and possibilities: speculation about how Wikipedia sponsors particular pedagogies and learning outcomes, and there remains a need for more empirical evidence. This article presents select data from a recent large-scale study conducted by the Wiki Education Foundation that begins to meet this need, and that confirms and extends research from the computers and writing community. Key findings from this research include positive evaluations of Wikipedia-based assignments in general, as well as positive evaluations concerning the capacity of Wikipedia-based assignments to teach critical thinking skills, source evaluation and research, public writing, literature review and synthesis, and peer review. This study also adds significantly to our field's knowledge of how contextual factors related to the course and assignment affect students’ evaluation of a Wikipedia-based assignment. Finally, this article suggests key recommendations for teaching with Wikipedia based on these findings.

The authors, an instructor and students, describe our practice of user-centered design on three levels: in the design and structure of an advanced undergraduate course in which we all participated, in student projects designed during the course, and in our reflections on the course presented here. We argue that principles of user-centered design can and should be more than course concepts and assignments; they can be core practices of the course that hold both students and teachers accountable for the impacts of their rhetorical choices. We offer a model for other teacher-scholars looking to involve students in the design of their courses and in writing together about their work.

This article examines how the Computers in Writing-Intensive Classrooms (CIWIC)/Digital Media and Composition (DMAC) Institute has realized founding director Cynthia L. Selfe's commitment to prioritizing people first, then teaching, then technology. I analyze how institute curricula introduce and model pedagogies for teaching digital composing, foster networking among participants, articulate a critical stance toward technology, and encourage newcomers to enter the field as administrators and scholars (as well as teachers). I also draw on participant documents (social media posts, publications, and CVs) to investigate the uptake of these ideas. Moving forward, I suggest that in light of the institute's growing emphasis on digital composing, 1) knowledge-making should be seen as the larger frame for CIWIC/DMAC work, and 2) research should be added to the institute's existing articulation of the field in terms of people→teaching→technology.