How should instructors adapt technical editing courses to account for generative artificial intelligence (AI)? This article addresses what generative AI means for technical editing pedagogy. While AI tools may be able to address rote editing tasks, expert editors are still needed to provide accessible, ethical, and justice-oriented edits. After reviewing impacts of generative AI on editing praxis, the author focuses on the microcredentials that she built into an editing course in order to address these impacts pedagogically. The goal was to enable students to understand AI, argue for their expertise, and edit from ethical and social justice perspectives.

Engineering disciplines have focused on recruiting and retaining women, assessing factors that contribute to decisions to enter or exit the field at every level. While many studies have examined writing in engineering disciplines, few have looked at writing’s role in women’s decisions to remain in or leave engineering. Using a case study of a professional civil engineer, Katy, this study examines the role that writing played in her dissatisfaction with engineering and her ultimate decision to leave the field. The author analyzes two genres of writing, meeting minutes and a preliminary engineering report, to explore how Katy’s writing practices often ran counter to her coworkers’ or supervisors’ approaches. While a single case study makes generalization impossible, this work opens the door to future research that accounts for writing in recruiting and retaining women.