This case study examines how technical communication students used generative artificial intelligence (GenAI) in user-experience (UX) design via Figma. Over a semester, they engaged with Figma Jambot, AI plug-ins, and other GenAI tools. Reporting on the findings from students’ individual and team reflections, the authors explore how students used AI-assistance in UX work. Using activity theory's knotworking, the authors study how students articulate GenAI as object, tool, genre, text, and person. In functioning as a boundary object, AI helped to coordinate team workflows and translate design ideas. Then students employed rework strategies to refine designs. Finally, the authors reflect on implications for AI-assisted UX design as a cocreative process.

This study examines how design thinking (DT) can function as a conceptual and analytical framework for supporting students’ critical AI literacy practices in writing and technical communication classrooms. Drawing on focus group interviews, individual reflection essays, and design artifacts from undergraduate technical writing students who collaboratively designed and customized AI chatbots using Poe, the study explores how students enacted responsible and user-centered design practices through each stage of the DT process. Findings reveal that 1) the empathize and define stages helped students identify algorithmic biases and frame inclusivity as part of user-centered design; 2) the ideate and prototype stages translated critical awareness into design decisions around prompt engineering, knowledge base curation, and visual accessibility; and 3) the test stage allowed students to revise their chatbot design through iterative usability testing and user feedback. Collectively, the DT process positioned students as human-in-the-loop co-creators who exercised rhetorical agency through prompt design, knowledge curation, and bias mitigation while designing customized chatbots. The article ends with pedagogical implications for integrating DT into critical AI pedagogy, chatbot design, and composition instruction.

This article proposes a sensemaking methodology to enhance human-in-the-loop technical and professional communication (TPC) practices when working with generative artificial intelligence (GenAI) output, which is often ambiguous and not always accurate. Sensemaking describes actions and cognitive strategies humans use to make sense of new/ambiguous information. We argue that sensemaking can help TPC students navigate making sense of GenAI output for better judgment in evaluating AI output. Particularly, we leverage sensemaking's Situation-Gap-Bridge-Outcome framework as a heuristic to identify situational contexts outside of GenAI, gaps in knowledge, create bridges for those gaps, and evaluate outcomes and connect this to extant TPC literature and discuss its implications.

• 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.

This article reports findings from interviews with twenty college instructors who have facilitated multimodal advocacy projects, identifying their affective significance through reflections. Based on our qualitative analysis of instructor responses, we present the implications of multimodal engagement and what it means for doing social advocacy pedagogies with the community.

Positioning affective agency as a site of investigation, this study documents how first-year writing students create multimodal antiracist campaigns to critically address the sociopolitical issue of racial justice and to collectively challenge the hegemonic violence of racial profiling. In describing students’ affective engagements with the multimodal campaigns, this study demonstrates the potential of multimodal writing pedagogies in enacting affective agency, weaving antiracist assemblages, and transforming affective relations, all of which will provide starting points for social change and antiracist action.

This study examines the role of multimodality in facilitating service-learning goals. We report findings from qualitative interviews with 20 college instructors who have designed and facilitated multimodal community-engaged learning projects, identifying their motivations, goals, and the impact of these projects through reflections. Based on our qualitative analysis of these instructor responses, we discuss the technological and pedagogical implications of multimodal social advocacy projects in technical and professional writing courses.

Wikipedia’s gender gaps are both well-established and well-challenged, and while Wikipedia-based assignments have become more common in composition, teacher-scholars have not fully explored the opportunities for feminist pedagogy offered by the encyclopedia. This article reports on a teacher research study designed to examine the efficacy of the feminist rhetorical approach for understanding critical literacy learning through Wikipedia-based assignments in First-Year Composition (FYC). Findings from student forum posts, surveys, and reflection essays suggest that, despite its benefits, the Wikipedia assignment has been met with challenges that hinder students from making contributions critically and effectively, especially as they struggle to assume agency and criticality in the FYC classroom. By identifying and addressing these challenges, we seek to offer alternative approaches to teaching feminist rhetorical inquiries in FYC, and to expand the current critical practices in Wikipedia-based writing instruction.

This webtext explores the pedagogical possibilities of teaching with and through "monkey selfies" as the issue of animal authorship and copyright opens up new pedagogical avenues for challenging the static and fixed views of authorship in composing practices.