2018 ASEE Annual Conference &Amp; Exposition Proceedings
DOI: 10.18260/1-2--29782
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An Evaluation of an Engineering Design Class using Mixed Methods Techniques

Abstract: is a researcher working in the John A. Paulson school of Engineering and Applied Sciences at Harvard University. He received his BS and MS from Carnegie Mellon University in 2013. He is currently working as an software engineer designing and building online education tools for use in the classroom.

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Cited by 2 publications
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“…Additionally, this paper proposes and demonstrates the use of quantitative tools for assessing the outcomes of the AIM design activity itself, to ultimately guide and quantify the improvements to this and similar design activities. Previous efforts in literature have resulted in quantitative instruments for assessment of design classes useful in guiding future improvements, but these suffer from low scalability due to requiring direct observations or interviews [2]. This contrasts with other literature focused primarily on assessing skills developed by participants [3], [4], or developing rubrics and methods for qualitative assessment of student work product generated in design focused activities [5] and classes [6].…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, this paper proposes and demonstrates the use of quantitative tools for assessing the outcomes of the AIM design activity itself, to ultimately guide and quantify the improvements to this and similar design activities. Previous efforts in literature have resulted in quantitative instruments for assessment of design classes useful in guiding future improvements, but these suffer from low scalability due to requiring direct observations or interviews [2]. This contrasts with other literature focused primarily on assessing skills developed by participants [3], [4], or developing rubrics and methods for qualitative assessment of student work product generated in design focused activities [5] and classes [6].…”
Section: Introductionmentioning
confidence: 99%