Exploring Patterns in Engineering Brainstorming Conversations by Combining Discourse Analysis and Statistical Methods

Background: Group brainstorming is an essential aspect of engineering design, and the discussions that take place during these activities influence downstream outcomes. A better understanding of brainstorming discourse can improve the effectiveness of discussions and improve engineering solutions. Purpose: This study explores the nature of conversations during engineering brainstorming activities and identifies themes and patterns in these discussions. Methods: We used a convergent mixed methods approach that combines discourse and statistical analysis to better understand different elements of engineering brainstorming discussions. We analyzed transcripts from 13 brainstorming sessions involving 59 engineering students tasked with designing accessible playground equipment. Results: Our analysis revealed three dominant themes in the brainstorming discourse: Active Engagement, Group Rapport, and Exploring the Problem. These themes represent the different ways that engineering teams generate ideas and the different kinds of conversations that take place across a given brainstorming session. Conclusion: Our findings suggest that effective engineering brainstorming entails more than simply generating ideas; it also requires understanding social dynamics and exploring the boundaries and constraints of the problem itself. This study contributes to design research by highlighting key elements of engineering brainstorming discourse and offering insight into the complexities involved in creative activities like ideation. By accounting for these different aspects of conversation in brainstorming, engineering educators can encourage more productive discussions in ways that lead to more effective design solutions.