Jialei Jiang

12 articles
Indiana University of Pennsylvania ORCID: 0000-0002-3017-9334
  1. Designing experience: Multimodal UX in the expanding field of composition
    doi:10.1016/j.compcom.2025.102978
  2. Expanding Human-in-the-Loop: Critical Sensemaking for Technical and Professional Communication With Generative AI
    Abstract

    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.

    doi:10.1177/00472816251405787
  3. Augmenting User Experience Design with Multimodal Generative Artificial Intelligence: A Study of Technical Communication Students
    doi:10.1080/10572252.2025.2473503
  4. From Hype to Practice: Reinterpreting the Writing Process Through Technical Writing Students’ Engagement with ChatGPT
    doi:10.1080/10572252.2024.2445302
  5. When generative artificial intelligence meets multimodal composition: Rethinking the composition process through an AI-assisted design project
    Abstract

    • 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.

    doi:10.1016/j.compcom.2024.102883
  6. Understanding Writing Instructors’ Feelings toward the Affordances of Multimodal Social Advocacy Projects: Implications for Service-Learning Pedagogies
    Abstract

    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.

    doi:10.58680/ccc20247614
  7. Navigating the emotional terrain of Wikipedia writing: A feminist affective analysis of student writers’ engagement with the “be bold” guideline
    doi:10.1016/j.compcom.2024.102850
  8. Towards a framework for local interrogation of AI ethics: A case study on text generators, academic integrity, and composing with ChatGPT
    doi:10.1016/j.compcom.2024.102831
  9. Composing to Enact Affective Agency: Engaging Multimodal Antiracist Pedagogy in the First-Year Writing Classroom
    Abstract

    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.

    doi:10.58680/ccc2024753534
  10. Examining Multimodal Community-Engaged Projects for Technical and Professional Communication: Motivation, Design, Technology, and Impact
    Abstract

    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.

    doi:10.1177/00472816221115141
  11. The thing-power of Ring Fit Adventure as embodied play: Tracing new materialist rhetoric across physical and cultural borders
    doi:10.1016/j.compcom.2022.102726
  12. “I Never Know What to Expect”: Aleatory Identity Play in Fortnite and Its Implications for Multimodal Composition
    doi:10.1016/j.compcom.2020.102550