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Relationship between student designers’ reflective thinking and their design performance in bioengineering project: exploring reflection patterns between high and low performers

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Abstract

The purpose of this study is to investigate the relationship between students’ patterns of reflective thinking and their performance in solving design problems. Reflective thinking is a critical element in the process of solving ill-defined design problems. Many educators are dedicated to finding ways to promote students’ reflection. Yet few empirical studies attempt to explore the relationship between reflective thinking and design performance. 44 students enrolled in a Biomedical Microelectromechanical Systems and Medical Devices course participated in this study. Through a self-assessed questionnaire, students’ reflection patterns were collected in three areas: timing of reflection, objects of reflection, and levels of reflection. Also, students’ performance scores on their team project in biomedical device design were collected. The results revealed a general pattern of student designers’ reflection behaviors and a number of significant different reflection patterns between high-performing and low-performing students as they approached a design problem-solving task. Implications for supporting students’ reflective thinking and enhancing their problem-solving abilities in design tasks were discussed.

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Acknowledgements

We would like to express our very great appreciation to Dr. Luke Lee, Arnold & Barbara Silverman Distinguished Professor at University of California, Berkeley, for his advice and support to our research.

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Correspondence to Yi-Chun Hong.

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In addition, this study has approved by the IRB of the University of Georgia (IRB Approval #: 2008-10776-3) and the informed consent was obtained from all individual participants included in the study.

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Hong, YC., Choi, I. Relationship between student designers’ reflective thinking and their design performance in bioengineering project: exploring reflection patterns between high and low performers. Education Tech Research Dev 67, 337–360 (2019). https://doi.org/10.1007/s11423-018-9618-6

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