Document Type
Conference Paper
Publication Date
2026
Abstract
The poster will detail the creation and deployment of a custom computer-based team formation tool using an Artificial Intelligence (AI) coding agent. The students respond to a survey administered on the LMS about knowledge, skills, availability, and course of study. The survey results are downloaded from the LMS, anonymized, and given to a coding agent as a sample input. The agent is instructed to create groups that have diverse skills, a common time availability for meeting, and are in different majors. Students enrolled in Honors section are grouped together, and groups all belong to the same lab section. Results are shown in a graphical manner to allow the instructor to manually edit the groups prior to deanonymizing and uploading to the LMS. In the last two offerings of the course, Fall and Spring 2025, the groups were assigned randomly and self-selected, respectively. My observation was that some teams lacked diversity or essential skills, and many were dysfunctional. Instructor-assigned teams or computer-aided team formation are recommended as best practices by Layton et al. (2010) and Franz and Vicker (2024) to overcome these problems and improve the development of groupwork skills, one of the learning outcomes of the course. A computerized tool was created due to the large number of students and the many constraints involved.
Recommended Citation
Dutra, D. A. (2026). Forming Groups with AI Coding. In Proceedings of the 2026 Scholarly Teaching Conference at West Virginia University (pp. 1-3).