Conference Session

Research Methods

Collection

2018 ASEE Annual Conference & Exposition

Authors

Amy Wilson-Lopez, Utah State University - Engineering Education; Karen Hazel Washburn Washburn, Utah State University; Indhira María Hasbún, Virginia Tech

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Diversity

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Educational Research and Methods

generation processes. For example, an interview question may be wordedin such a way that it reflects the experiences and worldview of somebody who speaksAppalachian English versus African American English. To offset this possibility, the researchteam should consult with people who are familiar with the language and culture of the researchparticipants and ask them to evaluate data generation protocols as well as early collected data. Insummary, researchers can enact several validation procedures to increase the likelihood that theirdata generation methods are culturally responsive and result in a fit between a social reality andthe research report, rather than a deficit view. These steps include: • Recognize subtle (or non-subtle) linguistic

Conference Session

Problem Solving, Adaptive Expertise, and Social Engagement

Collection

2018 ASEE Annual Conference & Exposition

Authors

Janna H. Ferguson, Northeastern University; Jennifer Lehmann, Northeastern University; Yevgeniya V. Zastavker, Franklin W. Olin College of Engineering; Susan Chang, Northeastern University; Reid P. Higginson, Harvard University; Cigdem P. Talgar, Northeastern University

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and equipping faculty with the knowledge and skills necessary to create such opportunities. One of the founding faculty at Olin College, Dr. Zastavker has been engaged in development and implementation of project-based experiences in fields ranging from sci- ence to engineering and design to social sciences (e.g., Critical Reflective Writing; Teaching and Learning in Undergraduate Science and Engineering, etc.) All of these activities share a common goal of creating curricular and pedagogical structures as well as academic cultures that facilitate students’ interests, moti- vation, and desire to persist in engineering. Through this work, outreach, and involvement in the commu- nity, Dr. Zastavker continues to focus

Conference Session

Works in Progress I

Collection

2018 ASEE Annual Conference & Exposition

Authors

Hilton Heydenrych, University of Cape Town; Jennifer M. Case, Virginia Tech

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Educational Research and Methods

not only was this exhausting, but that it worked against theirmastery of the concepts: Having a whole day of lectures, theoretically, allows students to focus on the work and ask questions in a ordered, consecutive manner. Unfortunately, owing to the long days [specifically in CHE3005W] this was not achieved practically as the long hours is exhausting for the student and the lecturers. Additionally, it was difficult to not really know anything about the topic at 10h00 and then by 18h00 essentially finishing two weeks worth of information. If one did not understand a concept or if one needs time to reflect on the work to fully understand it, meridian was the only time to do so to ensure that one

Conference Session

Motivation, Identity, and Belongingness

Collection

2018 ASEE Annual Conference & Exposition

Authors

Anita Patrick, University of Texas, Austin; Maura J. Borrego, University of Texas, Austin; Carolyn Conner Seepersad, University of Texas, Austin

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Educational Research and Methods

toconduct tasks. Similarly, competence describes a student’s belief in their ability tounderstand content. Performance and competence are closely linked. In later quantitativestudies of identity, these factors were combined into one performance/competence factor,thus reflecting student’s self-perception of performance as linked to their actualperformance. Recognition describes how parents, relatives, friends, and instructors seethe student in a given context. This framework was expanded by Hazari, Sonnert, Sadler,and Shanahan (2010) in their quantitative analysis of physics identity with the addition ofinterest to the framework. Interest describes one’s enjoyment in learning or interest inlearning about engineering. The PCIR framework refers to the

Conference Session

Design Thinking and Creativity

Collection

2018 ASEE Annual Conference & Exposition

Authors

Nicholas D. Fila, Iowa State University; Seda McKIlligan, Iowa State University; Kelly Guerin, Iowa State University

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Educational Research and Methods

-level electrical and computer engineering course. The primary source ofdata was 21 transcribed audio recordings of design meetings and is supplemented withinterviews, reflections, and course artifacts. Thematic analysis revealed 10 themes that representconnections and disconnections between the process used and a common five-stage designthinking process (empathize, define, ideate, prototype, and test). These themes demonstrate someof the opportunities and challenges related to design thinking within an engineering coursedesign setting. In particular, they suggest that engineering course design is a relevant context fordesign thinking, but one to which design thinking methods do not always naturally translated.Future work should focus on better

Conference Session

Motivation, Identity, and Belongingness

Collection

2018 ASEE Annual Conference & Exposition

Authors

Jacqueline Ann Rohde, Purdue University; Lisa Benson, Clemson University; Geoff Potvin, Florida International University; Adam Kirn, University of Nevada, Reno; Allison Godwin, Purdue University, West Lafayette (College of Engineering)

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Educational Research and Methods

” Mechanical EngineeringResearch quality was considered throughout the data collection and analysis process, based onthe Qualifying Qualitative Research Quality (Q3) framework by Walther, Sochacka, and Kellam[17]. The belongingness responses from each student were coded using in vivo codes [18]. Invivo codes brought richness to the analysis and reflected the exact words used by the students[17]. Multiple coding and theming passes, as well as a constant comparative method, were usedacross interviews to tightly link the themes to the data [19]. Authors had ongoing conversationsabout emergent results and addressed borderline cases. Memos were kept throughout theanalytical process to document and make apparent the researchers’ perspectives.The qualitative

Conference Session

Mentoring Practices and Project Teams

Collection

2018 ASEE Annual Conference & Exposition

Authors

Emily Miller, University of Virginia; Reid Bailey, University of Virginia

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Educational Research and Methods

achievementHowever, most evaluation tools are developed by instructors. As such, the desired behaviorsas listed are top-down rather than bottom-up. How the students themselves are perceivingtheir own learning environment is vitally important to their persistence in engineering[12][14]. A second study suggests that, though many behaviors overlap, some aspects ofteammate behavior viewed as important to students are not reflected in most instructor-created peer assessments. This study lists eleven behavior components important toteammates in engineering education settings. The more unexpected components of poor teambehavior include expecting teammates to contribute beyond their “fair share”, beingunwilling to take on tasks beyond clearly articulated

Conference Session

Practice I: Academic Success

Collection

2018 ASEE Annual Conference & Exposition

Authors

Kirsten A. Davis, Virginia Tech; David Reeping, Virginia Tech; Ashley R. Taylor, Virginia Tech; Cherie D. Edwards, Virginia Tech; Homero Gregorio Murzi, Virginia Tech; David B. Knight, Virginia Tech

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process because of the nature of the reflections (e.g., describing what they ate in considerable detail).ParticipantsThis paper describes the first stage of analysis in this project. For this stage, we used data fromthe 2016 cohort of RSAP, which included 91 students who participated in three different tracks:Europe (Italy, Switzerland, and Germany), China, and the Dominican Republic. Demographicinformation for this cohort is in Tables 2 and 3. In general, the program has larger representationof women and underrepresented students than the population of the College of Engineering(CoE), and the 2016 cohort is no different. All participants signed consent forms agreeing toparticipate

Conference Session

Practice I: Academic Success

Collection

2018 ASEE Annual Conference & Exposition

Authors

Colby Goettel, Brigham Young University; Barry M. Lunt, Brigham Young University

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Diversity

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Educational Research and Methods

). It containedinformation about the research and a place for students to sign granting access to their collegetranscripts. Additionally, the consent form contained information about the risks and benefits ofthe research, confidentiality, and what to do if a research subject had questions about theresearch.3.3 Kolb Learning Style Inventory (v3.1)The LSI is a twelve-question survey that takes between five and ten minutes to complete. The LSIcharts cognition on a two-axis scale: concrete experience (CE) versus abstract conceptualization(AC), and reflective observation (RO) versus active experimentation (AE).The LSI presents twelve, multiple-choice style questions. For instance, the question might startout: “When I learn, I prefer to:” and then

Conference Session

Practice II: Curricular Innovations

Collection

2018 ASEE Annual Conference & Exposition

Authors

Zhi Fang, Beihang University; Shuiting Ding, Beihang University; Qing Lei, Beihang University; Dandan Hou, Beihang University

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Diversity

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Educational Research and Methods

evaluation content, knowledge memory and test scores aretoo much more emphasized than students’ overall quality; regarding assessment function,appraisal and selection are taken more important than diagnosis, feedback and motivation; asfor evaluation criteria, students are taken as a whole, ignoring their individual differences;evaluation subjects are biased towards teachers, ignoring the diversification of evaluationsubjects; with regard to the evaluation process, conclusive nature is obvious while the processis ignored; for evaluation methods, written forms are dominant, neglecting other forms ofevaluation. Besides, quantified results are excessively employed, and adoption of evaluationmethods reflecting the diversified quality of students required

Conference Session

Social Dialogue on Diversity and Inclusion

Collection

2018 ASEE Annual Conference & Exposition

Authors

Tara C. Langus, University of Nevada, Reno; Hector Enrique Rodriguez-Simmonds, Purdue University, West Lafayette (College of Engineering); Nelson S. Pearson, University of Nevada, Reno; Justin Charles Major, Purdue University, West Lafayette (College of Engineering); Allison Godwin, Purdue University, West Lafayette (College of Engineering); Adam Kirn, University of Nevada, Reno

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Educational Research and Methods

research team we document our positionality.The research team consists of members with a wide range of political views (consisting ofregistered democrats, republicans, and independents) and demographic diversity (including butnot limited to individuals who identify as mixed race, White, male, female, cisgender, gay, andstraight). All members of the research team had an interest in understanding and improving theexperiences of diverse individuals in engineering. Prior to conducting the interviews, the entireresearch team documented and discussed their positionality so as to understand the ways inwhich their position as a researcher could influence the interview and analytic processes.During the interview, participants were asked to reflect on the

Conference Session

Motivation, Attitudes, and Beliefs

Collection

2018 ASEE Annual Conference & Exposition

Authors

Andrew Jackson, Purdue Polytechnic Institute; Nathan Mentzer, Purdue Polytechnic Institute; Rebecca Kramer-Bottiglio, Yale University

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Diversity

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Educational Research and Methods

are used by teachers (described in the next section). Using text from scales of engineeringself-efficacy and interest, we reflect on the pedagogical strategies for enhancing studentconfidence and interest which emerge from the lesson content. Then, as a second method forevaluating the impact of our lessons, we map changes in student self-efficacy and interest scoresreported before and after the soft robotics lessons. According to Wickham and Grolemund [18],these exploratory approaches offer insight that is not otherwise obtained. Along with morestructured statistical analysis which we have reported elsewhere, the content analysis andcharacterization of changes in student perceptions support the refinement of the curriculummoving forward.Soft

Conference Session

Institutional Change

Collection

2018 ASEE Annual Conference & Exposition

Authors

Trevion S. Henderson, University of Michigan; Cynthia J. Finelli, University of Michigan; Joanna Mirecki Millunchick, University of Michigan

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Educational Research and Methods

also adapted Ashford and Blacks [7] scales measuring proactive behaviors across six dimensions: (a) feedback seeking, (b) positive framing, (c) general socializing, (d) relationship building, (e) networking, and (f) information seeking [7]. Though these scales were developed to understand workplace socialization, we adapted them to reflect the context of engineering education. Then, to assess normative contexts, we developed a new five-question scale to explore students’ involvement in extra- and co-curricular activities. First, we ask students to list engineering-related organizations in which they participated. Second, and germane to the concept of socialization, we ask how students

Conference Session

System 1 in Engineering Education and Research

Collection

2018 ASEE Annual Conference & Exposition

Authors

James L. Huff, Harding University; Kanembe Shanachilubwa, Harding University; Stephen Secules, University of Georgia

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Educational Research and Methods

and I like to do other things besides math.”The above excerpt, at a first glance, seems to contradict the value that Rebecca earlier expressedregarding intellectual performances. But we found the distance Rebecca sought to achieve from beingcategorized as an engineer reflected more of a desire for her individual agency rather than any disdain forengineering. This desire for agency was particularly heightened in light of her participation in engineeringas a woman. She described how others’ perception of her, in particular as a woman in engineering,invaded her individual sense of control of her choice to exist as an engineering major: I’m a girl so I think a lot of people [will say], “Good for you.” Sometimes it makes me feel

Conference Session

Social Dialogue on Diversity and Inclusion

Collection

2018 ASEE Annual Conference & Exposition

Authors

Justin Charles Major, Purdue University, West Lafayette (College of Engineering); Allison Godwin, Purdue University, West Lafayette (College of Engineering); Gerhard Sonnert, Harvard University

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Diversity

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Educational Research and Methods

acknowledge that these groupings are narrow basedon the available data. Uneven population sizes from the resulting separation is due in part to themany students who had a neighborhood socioeconomic that was the same value as the quartilemedians. This challenge in data analysis alone emphasizes the need for study of low-socioeconomic students and their relatively few pathways into engineering. Students who attendcollege in engineering majors are surprisingly homogeneous in their neighborhood socioeconomicstatus. These groupings reflect the engineering student population, and thus provide informationon the types of attitudes toward and experiences with STEM that engineering students in a college-going population have by socioeconomic status in

Conference Session

Design Thinking and Creativity

Collection

2018 ASEE Annual Conference & Exposition

Authors

Kevin Calabro, University of Maryland, College Park

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Educational Research and Methods

 of improving students’ development along one or more of the patterns.  Additionally, we believe CSR is a particularly appropriate method for this study because the method permits teaching practices to be studied in the context of a real classroom.  The classroom setting within our case study contrasts the laboratory setting used by a large number of studies that have informed the development of the matrix (e.g., [6]­[9]).  The controlled conditions of these research studies do not accurately reflect engineering practice which often requires engineers to work on teams over long durations to solve complex problems. Additionally, the clinical setting does not reflect an educational setting in which a teacher is available to help guide and

Conference Session

Design Thinking and Creativity

Collection

2018 ASEE Annual Conference & Exposition

Authors

Catherine T. Amelink, Virginia Tech; Kirsten A. Davis, Virginia Tech; Barbara G. Ryder, Virginia Tech; Margaret O'Neil Ellis, Virginia Tech

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Diversity

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Educational Research and Methods

for universities toidentify methods for attracting and retaining students, particularly women, in computer science.Interactionalist theory which suggests student retention to a degree is based on personal andenvironmental factors provided the framework guiding our study. In addition, career certaintymodels allowed us to investigate how experiences at the undergraduate level influenced careerinterest in computer science. Questions included prompts to reflect on environmental andpersonal factors that sustained or diminished interest in continuing within a computer sciencedegree and ultimately a career. Significant results suggest that females and males have a similarundergraduate experience and our results indicate that across institutions

Conference Session

Motivation, Identity, and Belongingness

Collection

2018 ASEE Annual Conference & Exposition

Authors

Jonathan D. Stolk, Franklin W. Olin College of Engineering; Yevgeniya V. Zastavker, Franklin W. Olin College of Engineering; Michael D. Gross, Wake Forest University

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Diversity

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Educational Research and Methods

environments with the goal of improving learning opportunities for students and equipping faculty with the knowledge and skills necessary to create such opportunities. One of the founding faculty at Olin Col- lege, Dr. Zastavker has been engaged in development and implementation of project-based experiences in fields ranging from science to engineering and design to social sciences (e.g., Critical Reflective Writing; Teaching and Learning in Undergraduate Science and Engineering, etc.) All of these activities share a common goal of creating curricular and pedagogical structures as well as academic cultures that facilitate students’ interests, motivation, and desire to persist in engineering. Through this work, outreach, and

Conference Session

Motivation, Identity, and Belongingness

Collection

2018 ASEE Annual Conference & Exposition

Authors

Meagan R. Kendall, University of Texas, El Paso; Nathan Hyungsok Choe, University of Texas, Austin; Maya Denton, University of Texas, Austin; Maura J. Borrego, University of Texas, Austin

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Educational Research and Methods

suggest that institution type may providevaluable insight into student identity formation. A potential explanation for this result is the cultural differences in place at eachinstitution. Students at the HSI may attend college with the expectation that they are receiving adegree to pursue a very specific career (e.g., “I’m getting an engineering degree to be anengineer”) while students at the PWI may attend college with the perspective that it will openmany different opportunities for them in the future (e.g., “I’m getting an engineering degreebecause it will allow me to do many different things with my career”). This trend is reflected inthe higher engineering interest and plans to work at an engineering job at the HSI

Conference Session

Social Dialogue on Diversity and Inclusion

Collection

2018 ASEE Annual Conference & Exposition

Authors

Urmi Ghosh-Dastidar, New York City College of Technology and the City University of New York; Diana Samaroo, New York City College of Technology and the Graduate Center of the City University of New York; Armando Dominguez Solis; Sandie Han, New York City College of Technology

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students have reported the greatestgrowths and appreciations for the opportunity. A number of success stories, as recounted by thescholars themselves, are reflected below:The NSF S-STEM Scholarship has been an unfamiliar, yet amazing opportunity and experiencelast semester. I say unfamiliar because I never imagined being part of scholarship program atsome point in my college life. The many workshops provided like graduate school speeches andspeeches from New York City College of Technology alumni were very inspiring. These speakersprovided me with an abundance of information about graduate school and in a way encouragedme to make the most out of my undergraduate studies by taking the opportunities that areoffered. Mandatory meetings and advisement

Conference Session

Practice I: Academic Success

Collection

2018 ASEE Annual Conference & Exposition

Authors

Robert Matthew DeMonbrun, University of Michigan; Michael Geoffrey Brown, Iowa State University; Stephanie D. Teasley, University of Michigan

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Educational Research and Methods

exit these models (p<0.001). Similarly,these students were over 70% less likely to exit the red classification (p<0.001). Studentsin soft applied fields were also less likely to exit the yellow classification (p<0.05), whileundeclared students were less likely to exit the red classification. The linear and non-linear predictors were significant for the yellow and red exit models, and like the yellowentry model, the coefficients suggest that the risk of exiting either model increases until amid-term point, tapers off, and then increases again towards the end of the semester. Thisfinding is likely explained by the weight of assignments during these periods of thesemester (midterm and final examinations), and thus, may simply reflect the

Conference Session

Design Thinking and Creativity

Collection

2018 ASEE Annual Conference & Exposition

Authors

Suzanne Eyerman, Fairhaven Research and Evaluation; Sarah Hug, University of Colorado, Boulder; Emily McLeod; Tania Tauer, Techbridge Girls

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Diversity

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Educational Research and Methods

there are no failures in engineering, just opportunities for redesign. Engaging inthe engineering design process within education is intended as a way for youth to practiceencountering challenges and persevering through them to create a solution [4].Helping students learn about, and learn how to use, the engineering design process is a major aimof engineering education [5]. Engineering design is useful in practice because it allows studentsto make mental models concrete and offers time to make decisions, reflect, communicate, andcollaborate [6]. Additionally, understanding engineering design is important because the processis used by engineers in all professional fields [7]. Because of its prevalence among professionals,the process is key to

Conference Session

System 1 in Engineering Education and Research

Collection

2018 ASEE Annual Conference & Exposition

Authors

Matthew Scheidt, Purdue University, West Lafayette; Allison Godwin, Purdue University, West Lafayette (College of Engineering); Ryan R. Senkpeil, Purdue University, West Lafayette (College of Engineering); Julianna Sun Ge, Purdue University, West Lafayette (College of Engineering); John Chen P.E., California Polytechnic State University, San Luis Obispo; Brian P. Self, California Polytechnic State University, San Luis Obispo; James M. Widmann, California Polytechnic State University, San Luis Obispo; Edward J. Berger, Purdue University, West Lafayette (College of Engineering)

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Educational Research and Methods

their engineeringcourses. We also found that neuroticism and conscientiousness are related to students’ feeling ofstress. These results may be reflective of students who have low emotional stability, seek tofollow social norms and conventions, and have abilities to succeed in the “stress culture” ofengineering [63]. Grit-persistence of effort was related to the other affective constructs ofidentity, motivation, and belonging, but Grit-consistency of interest had a weak negativecorrelation with many of the stress indicators. This result may point to differential factors of howGrit may operate in engineering students when compared to the larger populations in which ithas been used previously, like psychology students and adults. In a different

Conference Session

Practice III: Multimedia Learning

Collection

2018 ASEE Annual Conference & Exposition

Authors

John T. Solomon, Tuskegee University; Eric Hamilton, Pepperdine University; Vimal Kumar Viswanathan, San Jose State University; Chitra R. Nayak, Tuskegee University; Firas Akasheh, Tuskegee University

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Diversity

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Educational Research and Methods

information through a series of courses taken byundergraduate students also needs to be studied. These issues are addressed in ongoing studieswhich will be reported later. Further, the scalability of this approach will also be studied in otherengineering schools in the future. Although this study focuses on the tools, course content,elements of structure and process of learning, it does not specifically address the role andinfluence of faculty on the learning environment.Acknowledgements: Support for this work is provided by the National Science Foundation Award No. DUE1504692 and 1504696. Any opinions, findings, and conclusions or recommendations expressedin this paper are those of the authors and do not necessarily reflect the views of the

Conference Session

Social Dialogue on Diversity and Inclusion

Collection

2018 ASEE Annual Conference & Exposition

Authors

Mayra S. Artiles , Virginia Tech; Holly M. Matusovich, Virginia Tech; Stephanie G. Adams, Old Dominion University; Coletta E Johnson Bey, Old Dominion University

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Diversity

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Educational Research and Methods

a differentperspective of how a student’s URM identity could affect their progress towards degree completion. Finally,it provides institutions with recommendations on how to improve their support for students towards doctoraldegree completion. Acknowledgements This research was supported by the National Science Foundation under Award No. 1723314. Anyopinions, findings and conclusions or recommendations expressed in this material are those of the authorsand do not necessarily reflect the views of the National Science Foundation. References [1] M. Sana, “Immigrants and natives in US science and engineering occupations, 1994–2006,” Demography, vol. 47, no. 3, pp. 801–820, 2010. [2] “Engage to Excel: Producing One

Conference Session

Social Dialogue on Diversity and Inclusion

Collection

2018 ASEE Annual Conference & Exposition

Authors

Nelson S. Pearson, University of Nevada, Reno; Justin Charles Major, Purdue University, West Lafayette (College of Engineering); Allison Godwin, Purdue University, West Lafayette (College of Engineering); Adam Kirn, University of Nevada, Reno

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Diversity

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Educational Research and Methods

identified as Asian, Hispanic or White. As stated previously this may reflect thestudents’ willingness to participate in engineering’s culture, although at this time no conclusiveevidence, and presents a clear arena for future work.Out-degreeHaving established that social structure was receptive to diverse interactions, we tested to see if aparticular racial group was more socially active than their peers. The descriptive statistics (Table3) suggest that out-degree behavior is highly volatile (large standard deviations and range),positively skewed and extremely leptokurtic. KW testing (H(5) = 5.6179, p = .3452) concludesthat out-degree values are not dependent on the students’ racial/ ethnicity identification. Table 3: Descriptive statistics for

Conference Session

Social Dialogue on Diversity and Inclusion

Collection

2018 ASEE Annual Conference & Exposition

Authors

Susan M. Lord, University of San Diego; Beena Sukumaran, Rowan University; Ella Lee Ingram, Rose-Hulman Institute of Technology; Anthony A. Maciejewski, Colorado State University; James D. Sweeney, Oregon State University; Thomas Martin, Virginia Tech; Joseph M. LeDoux, Georgia Institute of Technology; Jeremi S. London, Arizona State University, Polytechnic campus; Noah Salzman, Boise State University

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Educational Research and Methods

approaches with technical engineering skills. This requires anenhanced curriculum with a focus on student teamwork, a greater consideration of social context,improved communication with diverse constituents, and reflection on an ethical understanding oftheir decisions and solutions. Effective faculty members need to mirror these values and skills intheir instruction and mentoring. Efforts have begun to reimagine the “engineering canon” whichrequires a shift from positioning engineering as a purely technical endeavor to framing it associo-technical. We are developing a new General Engineering program that incorporates thisperspective [30]. In addition, we are developing modules that emphasize the sociotechnicalnature of engineering for traditional