Previous literature has shown that generative artificial intelligence (GAI) software, including large language model (LLM) chatbots, might contribute to qualitative research studies. However, there is still a need to examine the relationships between researchers, GAI technologies, data, and findings. To address this need, our team conducted a thematic analysis of our reflexive journals from an LLM chatbot-assisted research project. We identified four roles that researchers adopted: managers closely monitored the LLM's work, teachers instructed the LLM on theories and methods, colleagues openly discussed the data with the LLM, and advocates worked with the LLM to improve user experiences. Planning for and playing with multiple roles also helped to enrich the research process. This study underscores the potential for using conversational roles as a framework to support reflexivity when working with GAI technologies on qualitative research.

AbstractThis article examines writing instructors’ processes for creating grading systems through the lens of liberatory design, an offshoot of the popular design thinking framework that focuses on creating equity-focused responses to complex problems. It uses a thematic analysis method to analyze seventeen interviews with writing instructors. The results indicate that instructors already use various design-based practices to create grading systems. However, the analysis also demonstrates opportunities to build stronger connections between these practices, to center student voices, and to approach the design problem more creatively. The article closes by illustrating potential liberatory design practices for creating grading systems.

This article analyzes user work during open game development and presents an alternative model for participatory design. During open development, developers publicly distribute incomplete games, discuss their design goals, and facilitate user feedback. This article examines user work on an open development forum using conventional content and discourse uptake analyses. It finds that users customize their participation, engage with multiple objects of design, and affect design through collective action.

For many, the academic job-search process involves experiencing rejection, self-doubt, and depression. And a common form of communication during this process—job-refusal letters—can reinforce these negative experiences. This article uses rhetorical genre analysis to study 131 academic job-refusal letters and the applicants’ perceptions of these letters. First it constructs a model of the common genre moves in the sample of letters, giving specific examples of variation in these moves. Then it correlates these moves with the applicants’ perceptions of the letters they received, analyzing the results for statistically significant variations in patterns of applicant perceptions. Based on these analyses, the author argues that the most typified genre moves do not contribute to applicants’ feeling valued. Instead, letters building goodwill through less typified moves and language are often more effective. Ultimately, he argues that we can make the job-search process more humane by attending to the specifics of the full range of interactions between applicants and institutions.

There is no shortage of calls for innovation in higher education. In response to some catastrophic outside influence, whether it be budget cuts, an impending enrollment collapse, or the rapid expan...

Using concepts and methods from technical and professional communication and linguistics, the authors conducted an observational study of the voice of community members (CMs) in the deliberation of a behavioral institutional review board (IRB). In the discourse of deliberation, they found that CMs had an effective voice in constructing the compliance of individual research protocols under IRB review. But they also found that CMs had an ineffective voice in representing their African-American community, particularly in their efforts to advocate for more consideration of minority research sites and subjects and a fuller consideration of minority community attitudes.

Using a move-strategy genre analysis of 180 video game user reviews posted to six websites, this article describes typical characteristics of the genre as well as significant variations in genre construction. By creating new audiences and purposes for the genre, emerging genre variants have opened critical debates within the user community about genre change. Ultimately, the author argues that tracing genre variations could have implications for how technical communication scholars and practitioners support the needs and goals of user-generated genres.