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  • Team dynamics and conflict resolution: Integrating generative AI in project-based learning to support student performance

Sección IA: Inteligencia artificial Bibliografía

Team dynamics and conflict resolution: Integrating generative AI in project-based learning to support student performance

Enas Aref
2024
2024 ASEE Annual Conference & Exposition
American Society for Engineering Education
Portland
26
https://doi.org/10.18260/1-2--48074
capítulo
propuesta didáctica
inteligencia artificial
aprendizaje basado en proyectos
aprendizaje colaborativo
educación superior
propuestas didácticas
IA y educación
IA y aprendizaje

Texto completo

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.

Comunicación presentada en el congreso anual de la ASEE (Portland, Oregón, 23-26 de junio de 2024).

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