Portland, Oregon
June 23, 2024
June 23, 2024
June 26, 2024
Industrial Engineering Division (IND)
26
10.18260/1-2--48074
https://peer.asee.org/48074
165
Enas Aref is a Ph.D. Candidate in the Industrial Engineering Program at Western Michigan University. Ms. Aref is a researcher and a doctoral instructor assistant in the Industrial and Entrepreneurial Engineering and Engineering Management Department at Western Michigan University
When working in interdisciplinary or multidisciplinary group projects, students run into different types of conflicts. These conflicts often hinder their work progress and negatively affect their learning experience, which impedes achieving course learning outcomes. Equipping students with the knowledge to strategically work together in a collaborative team, understanding how conflicts arise and the proper techniques to resolve them, is key in supporting diversity, inclusion, and student learning. The instructor developed a teaching module covering research-based information and techniques to help students overcome conflicts and perform well in groups. The module covers the following topics: team forming stages, characteristics of highly performing teams, types of conflicts, and conflict resolution strategies. The module includes activities, assignments, and a case study. The paper details a plan on how to integrate this module in course work. The audience will explore ideas on how to integrate this content in their course, how to ensure student engagement during class, and discuss different types of activities to practice the acquired knowledge in project work.
Aref, E. (2024, June), Team Dynamics And Conflict Resolution: Integrating Generative AI in Project-Based Learning to Support Student Performance Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. 10.18260/1-2--48074
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