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- Engineering Cultures and Identity
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- 2016 ASEE Annual Conference & Exposition
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Allison Godwin, Purdue University, West Lafayette
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ASEE Diversity Committee
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Educational Research and Methods
. This paper drawsupon a subject-related role identity framework that focuses on students self-beliefs of theirinterest, performance/competence, and recognition within engineering. First, a pilot survey of371 first-year engineering students was conducted at three institutions in the U.S. during thespring semester of 2015. An exploratory factor analysis (EFA) was performed to examine theunderlying structure of the piloted questions about students’ engineering identity. The developeditems were used in a subsequent study deployed in the fall semester of 2015 that measured morethan 2500 first-year engineering students’ attitudes and beliefs at four institutions in the U.S. Thedata on engineering identity measures from this second survey were
- Conference Session
- Engineering Cultures and Identity
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- 2016 ASEE Annual Conference & Exposition
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Stephen Secules, University of Maryland, College Park; Andrew Elby, University of Maryland, College Park; Ayush Gupta, University of Maryland, College Park
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ASEE Diversity Committee, Diversity
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Educational Research and Methods
sociocultural dimensions of engineering education.Andrew Elby, University of Maryland, College Park Andrew Elby’s work focuses on student and teacher epistemologies and how they couple to other cognitive machinery and help to drive behavior in learning environments. His academic training was in Physics and Philosophy before he turned to science (particularly physics) education research. More recently, he has started exploring engineering students’ entangled identities and epistemologies.Dr. Ayush Gupta, University of Maryland, College Park Ayush Gupta is Assistant Research Professor in Physics and Keystone Instructor in the A. J. Clark School of Engineering at the University of Maryland. Broadly speaking he is interested in
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- Student Success II: Self-Regulatory, Metacognitive, and Professional Skills
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- 2016 ASEE Annual Conference & Exposition
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Ronald R. Ulseth, Iron Range Engineering
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Educational Research and Methods
students in a traditional,lecture-based, engineering education experience no significant growth as self-directedlearners. Prior studies by multiple researchers indicate students experiencing PBLcurricula have experienced significant growth. These studies all used the Self-DirectedLearning Readiness Scale (SDLRS), a commercially available tool that has beenadministered to 120,000 adults and as been used in over 90 PhD studies.The researchers developed a qualitative study in an attempt to characterize how the PBLgraduates experienced self-directed learning. 27 PBL graduates were interviewed. Aphenomenographic methodology was used to determine how the graduates experienceSDL in their engineering practice.The result of the qualitative study is a set
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- Research Methods II: Meeting the Challenges of Engineering Education Research
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- 2016 ASEE Annual Conference & Exposition
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Todd Fernandez, Purdue University, West Lafayette; Allison Godwin, Purdue University, West Lafayette; Jacqueline Doyle, Florida International University; Dina Verdin, Purdue University, West Lafayette; Hank Boone, University of Nevada - Reno; Adam Kirn, University of Nevada - Reno; Lisa Benson, Clemson University; Geoff Potvin, Florida International University
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Diversity
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Educational Research and Methods
Dina Verd´ın is an Engineering Education graduate student at Purdue University. She completed her under- graduate degree in Industrial and Systems Engineering at San Jos´e State University. Her research interest focuses on the first-generation college student population, which includes changing the perspective of this population from a deficit base approach to an asset base approach.Hank Boone, University of Nevada - Reno Hank Boone is a Graduate Research Assistant and Masters Student at the University of Nevada, Reno. His research focuses on First Generation engineering college students’ engineering identity, belonging- ness, and how they perceive their college experience.He is also on a National Science Foundation
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- Classroom Practice II: Technology - and Game-Based Learning
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- 2016 ASEE Annual Conference & Exposition
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Kathryn W. Jablokow, Pennsylvania State University; Xiaorui Zhu, Pennsylvania State University; Jack V. Matson, Pennsylvania State University, University Park; Akshay Nitin Kakde, Pennsylvania State University, Great Valley
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Educational Research and Methods
/failures and creative performance metrics. Our results show that while the correlationbetween number of attempts (i.e., failure rate) and creative performance was statisticallysignificant, the relationship was weak. In addition to these and other quantitative results, thisresearch has value for engineering educators as a case study in the evolution, scaling, andtransfer of face-to-face experiential learning tasks to global online learning environments.1. IntroductionThe relationship between creativity and failure appears to be a complex one, with scholarsdebating the positive and negative effects of failure on the quality and the quantity of creativeoutcomes6, 7, 12, 13. Within this context, the concept of Intelligent Fast Failure (IFF