In a cross-institutional study, this article shares research findings about business student perceptions and experiences using an automated writing assistant program based on traditional artificial intelligence. Using a mixed-methods approach, we share student responses to Grammarly’s suggested revisions and provide insight into students’ confidence levels and correctness in workplace written communication. Finally, this study concludes with a discussion of the implications of this work related to business communication education and research, as well as possibilities for the future.

The purpose of this research is to examine specific examples of how business communication courses are delivered in large, face-to-face university classes to discover implications of these large courses. This case study reviewed four classes from two different midsized universities whose classes range from 48 to 300 students. Findings suggest that, when faced with the possibility of teaching more students, it is important to understand that pedagogical strategies may need to be adjusted to maintain student learning. These strategies include modifying the course to the lecture/lab structure, limiting the amount of writing, or allowing the instructor to teach fewer courses.