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Exploring Uncertainty Management in Engineering Design Teams in a CAD-enhanced Learning Environment

Boros, Sara (2024) Exploring Uncertainty Management in Engineering Design Teams in a CAD-enhanced Learning Environment.

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Abstract:Background: This thesis explores the dynamics of uncertainty management in collaborative engineering design projects among university students, utilizing a Computer-Aided Design (CAD) tool, Energy3D. The study extends existing literature by delving into the strategies students adopt to manage task-related and social uncertainties in a CAD environment, aiming to contribute to instructional design and enhance collaborative problem-solving skills. Objective: The study aims to investigate how university students navigate and manage uncertainty while collaborating on CAD engineering tasks. With a focus on uncovering the types of uncertainties students face and the strategies they employ to manage these uncertainties, this research intends to enhance our understanding of collaborative problemsolving processes. Method: The study involved thirteen students, grouped into four teams, utilizing the Energy3D software for designing sustainable structures and assessing their energy performance. Data were collected through video documentation, individual SSRL radar charts, uncertainty-related questions, and concluding group interviews focused on the design process and uncertainty management. For this paper, the interaction data (from videos) was analyzed for markers of uncertainty and uncertainty management strategies using an existing coding scheme (Jordan & McDaniel, 2014). Results: Current findings suggest that students encounter various uncertainties, including technical challenges with CAD tools and gaps in scientific knowledge required for task completion. Strategies for managing these uncertainties ranged from reducing, maintaining, increasing, and ignoring uncertainty. Participating groups oscillated between these strategies in different ways. Conclusion: In conclusion, this study not only illuminates the complexities of managing uncertainty in collaborative CAD-enhanced learning environments but also offers valuable insights for enhancing educational practices. By understanding and leveraging the dynamics of uncertainty management, educators can foster more engaging, effective, and meaningful learning experiences for students. Recommendations: The study raises several open questions regarding the optimal ways to support students in managing uncertainties in CAD-enhanced collaborative learning environments. Future research may explore the impact of different instructional designs on students' ability to manage uncertainties and the potential for integrating specific tools or resources to facilitate this process.
Item Type:Essay (Master)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:77 psychology, 80 pedagogy, 81 education, teaching
Programme:Psychology MSc (66604)
Link to this item:https://purl.utwente.nl/essays/98581
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