Conference Session

Design in Engineering Education Division: Design Teams

Collection

2019 ASEE Annual Conference & Exposition

Authors

Robin Fowler, University of Michigan; Laura K. Alford, University of Michigan; James A. Coller, University of Michigan; Stephanie Sheffield, University of Michigan; Magel P. Su, California Institute of Technology

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Diversity

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Design in Engineering Education

self evaluations  Feedback based on those evaluations  A Gantt chart to plan project tasks and timelines  Peer mentors  Reflections on teamwork topics  Mid-semester progress meetingsIce Breaker and Communication Activity. Teams are revealed during lecture, at which pointstudents are encouraged to take seats near their new teammates and quickly exchange names andcontact information. After the teams have a few minutes to chat, we introduce a teaming activity:a logic grid puzzle with 30 written clues, divided as evenly as possible among the team memberson slips of paper. Our puzzle was adapted from [11], and we have made our version availableelectronically [12]. Generally, our students seem familiar with this type of

Conference Session

Design in Engineering Education Division: Capstone Design Practices

Collection

2019 ASEE Annual Conference & Exposition

Authors

Giselle Guanes Melgarejo, Ohio State University; Genevieve Thanh; Emily Dringenberg, Ohio State University

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Diversity

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Design in Engineering Education

matrices or House of Quality. However, in the process of providing rationalistic toolsto students, engineering education may be implicitly perpetuating the belief that engineers makedecisions through rationalistic reasoning alone. In reality, other types of informal reasoning, suchas empathic and intuitive reasoning, are utilized for decision making in ill-structured contextssuch as engineering design. The beliefs that undergraduate students hold about decision makingin the context of design is not well understood, and this work contributes to this gap in theliterature.To learn more about students’ beliefs about decision making, we collected qualitative pilot datain the form of both one-on-one, semi-structured interviews and written reflections

Conference Session

Best In DEED

Collection

2019 ASEE Annual Conference & Exposition

Authors

Elisabeth Kames, Florida Institute of Technology ; Devanshi Shah, Florida Institute of Technology; McKenzie Carol Clark; Beshoy Morkos, Florida Institute of Technology

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Diversity

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Design in Engineering Education

performance metric for the study wasthe student’s final grade in the fall and spring semesters of the senior capstone design course, aswell as the delta in the student grade. The student’s grades were correlated to a numeric value forcomparison, which is reflective of the GPA calculation at Florida Institute of Technology. Thenumerical values for performance are represented as traditional GPA scoring whereby A=4.0,B=3.0, C=2.0, D=1.0 and F=0.To supplement the quantitative study results, the authors performed an exit interview with each ofthe senior capstone design teams. The students were asked a total of 19 questions, in an open-floor,interview type format. The students were instructed to be as specific as possible in their answers.The authors

Conference Session

Design in Engineering Education Division: Capstone Design Projects

Collection

2019 ASEE Annual Conference & Exposition

Authors

Yupeng Luo, California State University, Fresno; Silvana Polgar, California State University, Fresno; Wei Wu, California State University, Fresno

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Diversity

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Design in Engineering Education

immersive interdisciplinary learningenvironment with a tangible scope, featuring direct mentorship of faculty and a local architect,collaboration between two colleges, and active interaction with a non-profit organization. Theproject is evaluated based upon information gathered from student design artifacts, constructionprocess documentation, and perceptual data via surveying and reflection. This paper discussesthe benefits and unique challenges of Design for Homeless (DfH) and provides insights on itsimplementation as a capstone experience.IntroductionCapstone design courses are intended to provide rich opportunities for student learning [1].According to Marin et al., successful capstone experience can be affected by many factors,including student

Conference Session

Best In DEED

Collection

2019 ASEE Annual Conference & Exposition

Authors

Eric Reynolds Brubaker, Stanford University; Vikas Rammohan Maturi, Stanford University; Barbara A. Karanian, Stanford University; Sheri Sheppard, Stanford University; David Beach, Stanford University

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Diversity

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Design in Engineering Education

. Companies that she has worked with renew their commitment to innovation. She also helps students an- swer these questions when she teaches some of these methods to engineering, design, business, medicine, and law students. Her courses use active storytelling and self-reflective observation as one form to help student and industry leaders traverse across the iterative stages of a project- from the early, inspirational stages to prototyping and then to delivery.Dr. Sheri Sheppard, Stanford University Sheri D. Sheppard, Ph.D., P.E., is professor of Mechanical Engineering at Stanford University. Besides teaching both undergraduate and graduate design and education related classes at Stanford University, she conducts research

Conference Session

Best In DEED

Collection

2019 ASEE Annual Conference & Exposition

Authors

Susannah Howe, Smith College; Robin Ott, Virginia Tech; Marie C. Paretti, Virginia Tech; Cristian Hernandez; Jessica Deters, Virginia Tech; Chris Gewirtz, Virginia Tech; Francesca Giardine, Smith College; Anne Kary, Smith College

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Diversity

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Design in Engineering Education

the bottom of the figure.  The x-axis depicts perceived preparedness, with lower perceived preparedness to the left and higher perceived preparedness to the right. (Note that while we also have perceived preparedness data from participants’ pre-graduation interviews and their weekly surveys, we used only the workplace interview data to select participants for this paper; subsequent larger studies will use the full data set.)  The size of the circle reflects extent of engineering identity; the larger the circle, the more the participant identified as an engineer.  The shading represents mention of gender bias/discrimination (shaded = yes, unshaded = no).As is clear from Figure 1

Conference Session

Design in Engineering Education Division: Design Mental Frameworks

Collection

2019 ASEE Annual Conference & Exposition

Authors

Jenni Buckley, University of Delaware; Amy Trauth, University of Delaware; Sara Bernice Grajeda, University of Delaware; Dustyn Roberts P.E., Temple University

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Diversity

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Design in Engineering Education

response was robust (N=632, 85.4% of total population) and reflected classdemographics. Females demonstrated lower mean self-efficacy scores in engineering applicationand tinkering (Table 1a). Both URMs and first-generation students showed slightly lower meanself-confidence in math and science skills (Tables 1b and 1c). Intersectionality of race andgender was examined; and URM females showed marginally lower mean self-efficacy thanURM males in tinkering tasks, when controlling for both demographic factors (femaleURM=3.3, male URM=3.6, αinteraction=.007). International students demonstrated significantlyless professional/interpersonal and problem solving self-confidence (Table 1d).DiscussionTaken together, these results suggest that there are

Conference Session

Best In DEED

Collection

2019 ASEE Annual Conference & Exposition

Authors

Robert P. Loweth, University of Michigan; Shanna R. Daly, University of Michigan; Kathleen H. Sienko, University of Michigan; Amy Hortop, University of Michigan; Elizabeth Ann Strehl, University of Michigan

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Diversity

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Design in Engineering Education

that the primary focus for us is getting [User] to participate, rather than getting the device to do the job. We were going in with the attitude of we need to hit XYZ, and then we're going to need to move an object from point A to point B at X velocity… whereas their focus is much less can you build something that works, so much as it is can you help [User]? Which retrospectively, duh, but at the time it was remarkable for me to hear that from the parent.In other words, the perspectives of the user and associated individuals during this initial meetingwere surprising enough for Team C that they prompted reflection about how engineering’straditional focus on the more technical aspects of solution concepts may have

Conference Session

Design in Engineering Education Division: Student Empathy & Human-centered Design

Collection

2019 ASEE Annual Conference & Exposition

Authors

Colin Dixon, Concord Consortium; Corey T. Schimpf, The Concord Consoritum; Sherry Hsi, Concord Consortium

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Diversity

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Design in Engineering Education

point, coming largely out of analyses of professional practice anduniversity design courses, reflects what we are calling product-oriented iteration. The primaryvalue of iteration is to improve designs and artifacts or solve problems, and in service of thosegoals, to build understandings of materials or tools. In this view, while iteration is central toengineering design, it should be employed only when efficient and effective, and the drafts leftbehind are erased in presentation of the final artefact.In contrast to product-oriented iteration in which iteration is complete or successful only when itleads to decisions or improvements [3], in person-oriented iteration, or iteration-to-learn, thechance to redo and revise provides novice designers

Conference Session

Design in Engineering Education Division: Design Mental Frameworks

Collection

2019 ASEE Annual Conference & Exposition

Authors

Jenni Buckley, University of Delaware; Sara Bernice Grajeda, University of Delaware; Amy Trauth, University of Delaware; Dustyn Roberts P.E., Temple University

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Diversity

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Design in Engineering Education

positively because learners who fall into this group tend to be motivatedby learning new things, are persistent in completing difficult or ambiguous academic tasks, andtend to use cognitive strategies to support learning such as metacognition and reflection [20, 21].Task oriented students tend to view mastery as dependent on effort, and perceptions of ability areself-referenced [22]. Task oriented students focus their attention on the task, not on extrinsicrewards; learning, understanding, developing new skills, and problem-solving are motivators [17,23]. Task orientation, like mastery orientation, is the most adaptive orientation for self-regulatedlearning [24, 7]. Task oriented students set self-improvement and learning as their goals; as aresult

Conference Session

Design in Engineering Education Division: Design Teams

Collection

2019 ASEE Annual Conference & Exposition

Authors

Vanessa Svihla, University of New Mexico; Jamie Gomez, University of New Mexico; Martin A. Watkins, University of New Mexico; Tryphenia B. Peele-Eady Ph.D., University of New Mexico

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Diversity

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Design in Engineering Education

havesome kind of engineering analysis” and pressed them to explain why their project was “sogreat.” Her concern reflected the instructor’s comment, “What can you really uniquelycontribute as an engineer?” as she pressed, “Why is there a need for it?” The studentsexplained the potential for saving lives by having a way to detect symptoms of shock.Steve’s team struggled to define this as a design problem and resisted reframing theproblem. Instead, they treated the problem as well-structured and their task as finding theright answer, primarily adopting a performance orientation. Vignette 4: Feb 4Daniela: I just thought that something bothers me the fact that (.) yeah we're gonna put the sensor on the stomach (.) right? During surgery

Conference Session

Design in Engineering Education Division: Student Empathy & Human-centered Design

Collection

2019 ASEE Annual Conference & Exposition

Authors

Anas Chalah, Harvard University; Fawwaz Habbal, Harvard University; Michael Raspuzzi, Harvard University

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Diversity

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Design in Engineering Education

difficult to adequately evaluate these programs. In order to evaluate andassess new experiments and projects, prior to introducing them in our curriculum, we use summerprograms with different students to develop content and test learning objectives. We introduce thenew topics to a cohort of students of diverse cultural background from local and internationalstudents. Our methodology is similar for the curricular development of each program (Figure 1)and consists of four main and distinct stages: (1) planning and administrative preparation, (2)content development and small-scale testing, (3) deployment and daily student assessment, (4)reflections, modifications and adjustments for a final course implementation. [6

Conference Session

Design in Engineering Education Division: Design Methodology

Collection

2019 ASEE Annual Conference & Exposition

Authors

Waddah Akili, Iowa State University

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Design in Engineering Education

Middle School Classroom: Key Elements in Developing Effective Design Challenges,” Journal of the Learning Sciences,Vol.9, No.3, pp.313-314.26. Oakes, W. C., Jamieson, L. H., and Coyle, E. j.,(2001), “EPICS: Meeting EC 2000 Through Service Learning,” Proc., ASEE Conference and Exhibition, Session 3461.27. Bright, A., and Dym, C. L., (2004), “General Engineering at Harvey Mudd: 1957-2003,” Proc., ASEE Conf. and Exhibition, Session 1471.28. Adams, R. S., Turns, J., and Atman, C. J., (2003), “Educating Effective Engineering Designers: The Role of Reflective Practice,” Design Studies, Vol. 24, No. 3, pp.275—294.29. Mills, J. E., and Treagust, D. F., (2004), “Engineering Education- Is Problem – Based or Project - Based Learning the

Conference Session

Design in Engineering Education Division: Design Mental Frameworks

Collection

2019 ASEE Annual Conference & Exposition

Authors

Armando A. Rodriguez, Arizona State University; Nirangkush Das, Arizona State University; Brent Wallace, Arizona State University; Phil Blake McBride, Eastern Arizona College; Clark Vangilder, Central Arizona College; Tim S. Frank, Glendale Community College; John W. Griffith, Mesa Community College; Russell Cox, Mohave Community College; Eddie W. Ong, Phoenix College; Ernest Moulinet Villicana, Phoenix College Engineering; Celia . Jenkins, Cochise College

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Diversity

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Design in Engineering Education