Conference Session

Women in Engineering Division Technical Session 2

Collection

2019 ASEE Annual Conference & Exposition

Authors

Behzad Beigpourian, Purdue University, West Lafayette ; Matthew W. Ohland, Purdue University-Main Campus, West Lafayette (College of Engineering)

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

the analysisFigure 1. Adaptation of the PRISMA flowchart for described search process [12] ResultsWe analyzed the remaining 18 articles that investigated race and gender in engineeringteamwork at U.S. institutions. Two of these articles studied race [13], [14], and ten paperswere related to gender [15]–[24]. Another six papers investigated both race and gender [25]–[30]. For better understanding papers’ results, we categorized them and each differentcategory describing one facet of teamwork covered by papers: collaboration, communication,leadership and self-efficacy, peer evaluation, perceptions of professors and students, teameffectiveness and outcome, and team formation. We extracted any

Conference Session

Improved Pathways to Graduate Studies

Collection

2019 ASEE Annual Conference & Exposition

Authors

Jacques C. Richard, Texas A&M University; So Yoon Yoon, Texas A&M University; Maria Claudia Alves , Texas A&M University; Vikram K. Kinra, Texas A&M University

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Diversity

Tagged Divisions

Graduate Studies

experiences, and overall program experiences.The format of the measures varied, including open-ended questions, ranking, and seven-pointLikert scales, ranging from 1 (strongly disagree) to 7 (strongly agree). Among several measures,we analyzed four common measures in both pre- and post-surveys, aligned with the NSF REUprogram objectives, such as (a) career goals after graduation, (b) self-efficacy in decision-makingtoward graduate school, and (c) perceptions of research knowledge, skills, and engineeringcareer paths, and (d) research expectations and experiences that enabled us to explore thedifferences of the impact of the REU programs on national versus international students.D. Data AnalysesFirst, we applied descriptive statistics for frequency

Conference Session

Engineering Design Graphics Division Technical Session 3 - Spatial Visualization Topics

Collection

2019 ASEE Annual Conference & Exposition

Authors

Hannah Budinoff, University of California, Berkeley; Audrey Ford, University of California, Berkeley; Sara McMains, University of California, Berkeley

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Diversity

Tagged Divisions

Engineering Design Graphics

canbetter devise pedagogical strategies targeted at improving self-efficacy and retention of femalestudents.The objective of this study is to determine if women do in fact put more effort into anintroductory engineering graphics class, and to determine if this extra effort can compensate fortheir lower average spatial visualization ability, resulting in equal course outcomes such as examand homework grades. We hypothesize that: 1) female students put more effort (measured asquiz scores, time spent on homework, attendance, and homework scores) into engineeringgraphics courses; and 2) that this greater effort by female students results in roughly equalaverage course and exam grades for men and women. While other studies have observed

Conference Session

Entrepreneurship & Engineering Innovation Division Technical Session 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Magdalini Z. Lagoudas, Texas A&M University; So Yoon Yoon, Texas A&M University; Rodney Boehm, Texas A&M University

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Diversity

Tagged Divisions

Entrepreneurship & Engineering Innovation

large Southwestern publicuniversity. The program implementation component included program data associated withcurriculum content and format, recruiting approach, and participant data from five cohorts. Dueto the delayed employment of the assessment, the evaluation component included findings fromtwo cohorts using pre- and post-quizzes on knowledge of entrepreneurship terms and pre- andpost-surveys that captured changes in perceptions of entrepreneurship and customer interview.The results of this study indicated that while student interest on entrepreneurship remainedconstant, there were significant improvements of participants in three areas of self-efficacy: (a)entrepreneurship, (b) marketing and business planning, and (c) customer interview

Conference Session

ERM Technical Session 15: Perspectives on Engineering Careers and Workplaces

Collection

2019 ASEE Annual Conference & Exposition

Authors

Jacqueline Rohde, Purdue University, West Lafayette; Allison Godwin, Purdue University, West Lafayette

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Diversity

Tagged Divisions

Educational Research and Methods

supportresources. These items, and several subsequent items about engineering attitudes and beliefs, areadapted from the POWER study [6], which investigated women’s persistence in engineeringcareers. The POWER survey was derived from SCCT [10], which lends the ability to comparethe proposed to previous literature. Although the POWER survey includes a measurement ofengineering self-efficacy, in this study we operationalize a self-efficacy scale relating to theABET student outcomes [25]. This tie between self-efficacy and accreditation student outcomescan offer insight into the actual tasks that engineering graduates use professionally. In addition toattitude and belief measures based in SCCT, we also include engineering beliefs factors relatedto

Conference Session

Minorities in Engineering Division Technical Session 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Jamie R. Gurganus, University of Maryland, Baltimore County; Liang Zhu, University of Maryland, Baltimore County; Charles D. Eggleton, University of Maryland, Baltimore County; Shuyan Sun

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Diversity

Tagged Divisions

Minorities in Engineering

administered to both S-STEM scholar and non-affiliated S-STEM mechanical engineering students. Using a 6-itemLikert survey, students were asked to assed their perceptions and attitudes regarding each of theconstructs. At the end of the Spring 2019 semester, a post-survey will be administered to thepopulation for comparison.Survey Instrument In partnership with the psychology department, a survey was developed containingmeasurable items regarding their attitudes, perspectives, science/engineering identity, andresearch self-efficacy. Below are the measurable constructs and their items showing reliability. 1. Research Self- Efficacy: Measured by six items from the Scientific Self-Efficacy Scale [10] that assesses students’ ability to

Conference Session

Entrepreneurship & Engineering Innovation Division Technical Session 3

Collection

2019 ASEE Annual Conference & Exposition

Authors

Barbara A. Karanian, Stanford University; Ville Mikael Taajamaa, University of Turku; Christopher Andrew Parlier, Stanford University; Mona Eskandari, University of California, Riverside

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Diversity

Tagged Divisions

Entrepreneurship & Engineering Innovation

; Ohland, 2012]. Includes phrases for innovation [33] and innovation self-efficacy [34] as a conception of self that express intrigue, interest, and excitement for observing and experimenting with new approaches. An overlap between achievement motivation and innovation exists since individuals with a high need to achieve also demonstrate a visionary sense and gain a sense of self-worth from excelling and doing something new. Dissimilar to achievement motivation, however, innovators have a creative competence [32] and a comfort with ambiguity [2]. Affiliation It tracks the extent to which a participant is personally capable of understanding the emotional make-up of other people and

Conference Session

ERM Technical Session 23: Courses and Research on Communication

Collection

2019 ASEE Annual Conference & Exposition

Authors

Ellen Zerbe, Pennsylvania State University, University Park; Catherine G.P. Berdanier, Pennsylvania State University, University Park; Natascha Trellinger Buswell, University of California, Irvine; Joana M. M. Melo, Pennsylvania State University

Tagged Divisions

Educational Research and Methods

survey originally comprisedfive individual scales in addition to demographic informational questions, and information aboutfuture anticipated career trajectories. The purpose of deploying a battery of writing scales was (1)to discern how, if at all, attitudes toward writing presented in different scales correlated with eachother; (2) to characterize dominant patterns or characteristics generalized over a large nationwidepopulation of engineering graduate students, and (3) also assess students’ writing attitudes inrelationship with their research self-efficacy, a topic on which students are more used to beingassessed. As part of a larger mixed-methods research design, the entire scale is deployed tocurrently-persisting engineering students and

Conference Session

ERM Technical Session 6: Technology-enhanced Instruction and Assessment

Collection

2019 ASEE Annual Conference & Exposition

Authors

Brandon Xavier Karcher, Bucknell University; Beth M. Holloway, Purdue University, West Lafayette; Brittany Pierson, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

insights into these findings. One possible explanation may be stereotypethreat, which Steele and Aronson [10] first described as being at risk of conforming to negativestereotypes within one's own group (e.g., men are better engineers, boys are better at math).Stereotype threat has been shown to inhibit performance and self-efficacy, which isinterdependent on self-regulated learning [11], [12]. However, research has also found thatfemale engineers can experience a “stereotype boost”, where they are motivated by the presenceof unfavorable stereotypes [13]. Female students in this study could be motivated by stereotypethreat to overcome negative stereotypes, especially since they were able to compare themselveswith peers, largely male, within

Conference Session

Women in Engineering Division Technical Session 4

Collection

2019 ASEE Annual Conference & Exposition

Authors

Kristina Rigden, California State Polytechnic University, Pomona; Mariappan Jawaharlal, California State Polytechnic University, Pomona; Nicole Gutzke, Cal Poly Pomona

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

becoming a critical job skill of the future. When one learns coding, it can help lay out aplan, evaluate the methodology, troubleshoot problems, and implement a strategy. STEM Confidence Albert Bandura’s self-efficacy theory will be used to define STEM confidence. AlbertBandura’s self-efficacy theory is developed in the field of behavioral change and he states that“…cognitive processes mediate change but that cognitive events are induced and altered mostreadily by experience of mastery arising from effective performance” [11]. The mastery that arisesfrom this effective performance is defined as confidence. Confidence is the self-belief in people’scompetence or chance to successfully complete a task [12

Conference Session

Minorities in Engineering Division Technical Session 5

Collection

2019 ASEE Annual Conference & Exposition

Authors

Amy Trauth, University of Delaware; Jenni Buckley, University of Delaware; Sarah Ilkhanipour Rooney, University of Delaware; Joshua A. Enszer, University of Delaware; Tia Navelene Barnes, University of Delaware; Rachel Davidson, University of Delaware

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Diversity

Tagged Divisions

Minorities in Engineering

conducting mixed methodsresearch. Thousand Oaks, CA: Sage Publications, Inc.[14] Merriam, S. B. (1998). Qualitative research and case study applications in education. SanFrancisco, CA: Jossey-Bass. [15] D. Chachra and D. Kilgore, “Exploring gender and self-confidence in engineering students:A multi-method approach,” Cent. Adv. Eng. Educ., Washington, USA, Tech Rep. Apr. 2009.[16] H. Chen, K. Donaldson, O. Eriş, D. Chachra, G. Lichtenstein, S. D. Sheppard, and G. Toye,“From PIE to APPLES: The evolution of a survey instrument to explore engineering studentpathways,” in 2008 ASEE Proceedings.[17] D. Baker, S. Krause, and S. Y. Purzer, “Developing an instrument to measure tinkering andtechnical self-efficacy in engineering,” presented at the 2008 ASEE

Conference Session

Best Practices in Out-of-School Time

Collection

2019 ASEE Annual Conference & Exposition

Authors

Joni M. Lakin, Auburn University; Mary Lou Ewald, Auburn University; Virginia A. Davis, Auburn University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

projects. Across two years, 32 teachers from two cohorts provided post-fairsurvey data from participating and non-participating students. We received data from 1,257students at the beginning of the year, but just 982 at the end of the year. Our matching effortsidentified 795 complete cases, which is the data we focus on here. See Table 1 for a breakdownof demographic information by teacher.MeasuresThe evaluation team developed these surveys to assess student attitudes towards science andengineering as well as experiences being involved in S&E fairs. Measures of science attitudes(value and self-efficacy for science) as well as science and engineering interest were drawn fromthe MSP-MAP project[12] that developed theoretically grounded measures

Conference Session

Entrepreneurship & Engineering Innovation Division Technical Session 5

Collection

2019 ASEE Annual Conference & Exposition

Authors

Chris Carroll, Saint Louis University, Parks College of Eng.; Scott A. Sell, Saint Louis University, Parks College of Eng.; Michelle B. Sabick, Saint Louis University, Parks College of Eng.

Tagged Divisions

Entrepreneurship & Engineering Innovation

coursesections are often very large, and success rates are often well below campus averages.Project Rationale Attrition rates of undergraduate engineering students consistently hover around 50%throughout the United States [2-11]. Geisinger and Raman [2] conducted an extensive literaturereview on student attrition and retention including 50 and 25 studies, respectively. Theyconcluded that six factors contributed to students leaving engineering: classroom and academicclimate, grades and conceptual understanding, self-efficacy and self-confidence, high schoolpreparation, interest and career goals, and race and gender. Furthermore, a 2013 report [11] bythe Institute of Education Sciences (IES) reinforces Geisinger and Raman’s conclusions. Thereport

Conference Session

ERM Technical Session 13: Student Learning and Contexts

Collection

2019 ASEE Annual Conference & Exposition

Authors

Alexander Pagano, University of Illinois, Urbana-Champaign; Leon Liebenberg MASEE, University of Illinois, Urbana-Champaign; Molly H. Goldstein, University of Illinois, Urbana-Champaign

Tagged Divisions

Educational Research and Methods

, we assume that play can be correlated tostudents who have a sense of control and are able to act toward their own intrinsic motivation.The challenge and skill required for the team project are used to assess the ability for the projectto remain engaging and are derived from flow theory and based on similar questions fromHamari and colleagues [7]. Engagement is also asked directly and is additionally comprised ofelements of concentration, interest, immersion and enjoyment. Together, questions fromconcentration, interest, immersion and enjoyment should proxy engagement in the learningprocess. Self-efficacy is used as a proxy for learning outcomes, though for participants whoprovide consent, course grades will also be used to measure learning

Conference Session

ERM Technical Session 8: Survey and Instrument Development

Collection

2019 ASEE Annual Conference & Exposition

Authors

Adurangba Victor Oje, University of Georgia; Nathaniel Hunsu, University of Georgia; Peter H. Carnell, University of Georgia; Nicola W. Sochacka, University of Georgia

Tagged Divisions

Educational Research and Methods

, 0.79 and 0.72 for Factor 1, Factor 2, and Factor 3, respectively.We examine correlations between the three factors of the ARS-30 and three factors on the CD-RISC scale. The factor analysis for the CD-RISC yielded three resilience factors based on theresilience literature (in measure of Self- efficacy, Faith and Tenacity). The results showed thatthe all three factors from the ARS-30 were significantly correlated (r = 0.24 ~0.69) to the factorsderived from the CD-RISC measure (see Table 2).Table 2…. Correlations between factors extracted from ARS-30 and CD-RISC 1 2 3 4 5 6ARS-30 1. Persevera 1 -.38** .55** .66** .39** .61

Conference Session

Engineering Ethics Division Technical Session - Assessment

Collection

2019 ASEE Annual Conference & Exposition

Authors

Justin L Hess, Indiana University Purdue University, Indianapolis; Grant A Fore, Indiana University Purdue University, Indianapolis; Brandon H Sorge, Indiana University Purdue University, Indianapolis; M A Coleman, Indiana U Purdue U Indianapolis; Mary F. Price; Thomas William Hahn, IUPUI

Tagged Divisions

Engineering Ethics

Consensus-Building Skills, (3) Dispositions– Valuing Community Engagement,Self-Efficacy, Social Trustee of Knowledge, and (4) Behavioral Intentions.Interpersonal Reactivity IndexThe Interpersonal Reactivity Index [15] is a self-report psychometric instrument that measuresself-reported empathic tendencies via four subscales. In this study, we utilized only twosubscales from the Interpersonal Reactivity Index: (1) Perspective-Taking and (2) EmpathicConcern. Perspective-Taking represents one’s tendency to consider the perspectives of another orothers in general (i.e., non-engineering or science specific) everyday interactions. We describeperspective-taking as cognitive, meaning its focus is on mental processes and rational thought, aswell as other

Conference Session

Entrepreneurship & Engineering Innovation Division Technical Session 5

Collection

2019 ASEE Annual Conference & Exposition

Authors

Prateek Shekhar, University of Michigan; Aileen Huang-Saad, University of Michigan; Julie Libarkin, Michigan State University

Tagged Divisions

Entrepreneurship & Engineering Innovation

EEPs – entrepreneurial self-efficacy, desirability, entrepreneurial intent, life transitions,information and resources, opportunities and barriers. Recommendations for engineeringeducation researchers and implications for entrepreneurship education research are offered.IntroductionWith the advent of a technology-driven global economy, institutions of higher educations areincreasingly investing in providing undergraduate engineering students with learningenvironments that assist in their professional formation. In addition to technical skills, academiahas recognized the importance of developing domain-general skills needed to solve futureproblems [1]. Engineering entrepreneurship education has been noted as a platform fordeveloping 21st century

Conference Session

NSF Grantees Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Andrew L. Gillen, Virginia Tech; Jacob R. Grohs, Virginia Tech; Holly M. Matusovich, Virginia Tech; Gary R. Kirk, Virginia Tech; Holly Larson Lesko, Virginia Tech; Cheryl Carrico P.E., Virginia Tech

Tagged Topics

NSF Grantees Poster Session

processes: Inside the black box,” Public Administration Review, vol. 66, no. s1, pp. 20–32, Dec. 2006.[19] A. M. Thomson, J. L. Perry, and T. K. Miller, “Conceptualizing and measuring collaboration,” Journal of Public Administration Research and Theory, vol. 19, no. 1, pp. 23–56, Nov. 2007.[20] S. Y. Yoon, M. G. Evans, and J. Strobel, “Validation of the teaching engineering self- efficacy scale for K-12 teachers: A structural equation modeling approach,” Journal of Engineering Education; Washington, vol. 103, no. 3, pp. 463–485, Jul. 2014.[21] M. Knight and C. M. Cunningham, “Draw an engineer test (DAET): Development of a tool to investigate students’ ideas about engineers and engineering,” presented at the ASEE Annual

Conference Session

ERM Technical Session 21: Student Grades and Feedback

Collection

2019 ASEE Annual Conference & Exposition

Authors

Jae-Eun Russell, University of Iowa; Mark S. Andersland, University of Iowa

Tagged Divisions

Educational Research and Methods

smart devicesMethodsA university teaching, learning and technology research team collaborated with the courseprofessor to conduct the study. All students in both the TLC and ALC courses were invited tocomplete three surveys during the semester—one at the beginning of the semester, one in themiddle of the semester, and one at the end of the semester. The first survey assessed students’self-efficacy, intrinsic values, and test anxiety [10]. The second survey included questionsconcerning students’ perceptions of the helpfulness of the class sessions and study hours in atypical week. The third survey reassessed students’ self-efficacy, intrinsic values and testanxiety, helpfulness of the class sessions, and study hours. Additionally, questions

Conference Session

SED Technical Session: Systems Thinking

Collection

2019 ASEE Annual Conference & Exposition

Authors

Karim Heinz Muci-Kuchler, South Dakota School of Mines and Technology; Cassandra M. Degen, South Dakota School of Mines and Technology; Mark David Bedillion, Carnegie Mellon University; Marsha Lovett, Carnegie Mellon University

Tagged Topics

Diversity

Tagged Divisions

Systems Engineering

report theirperceived level of self-efficacy in different topics related to ST and SE. This section representsan indirect measure of students’ abilities because students are reporting their perceptions of theirabilities. By contrast, in the second section, students need to apply knowledge in ST and SE toanswer several questions (i.e., direct measure of students’ ability to apply ST and SE conceptsand skills). Each question provides a product or system familiar to most engineering students forcontext.The first section of the STSS includes 44 items asking students “How well do you think that youcan apply the topics mentioned below to an engineering project?” Student responses arecollected via a 5-point Likert scale, ranging from 1=Not at all to 5

Conference Session

Design in Engineering Education Division Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

April A. Dukes, University of Pittsburgh; Lucille A. Sowko, University of Pittsburgh School of Nursing; Mark Gartner, University of Pittsburgh; Brandon Joseph Barber, Sawnson School of Engineering University of PIttsburgh; Renee M. Clark, University of Pittsburgh

Tagged Divisions

Design in Engineering Education

, which may be influencedby an intense design experience, such as the BioE senior design project described in this paper.Thus, a post survey is planned for the end of the spring 2019 semester to measure potentialchanges in self-efficacy following student completion of the interdisciplinary teamworkexperience over the two semesters. Additionally, at that time, changes in students’ competenciesin collaboration will be assessed using the Interprofessional Collaborative CompetencyAttainment Survey Instrument [18]. This is a 21-question survey instrument that examinesstudents’ pre-class and post-class collaborative competencies in the following interprofessionalcore competency areas [19]: communication, collaboration, roles and responsibilities

Conference Session

NSF Grantees Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Erin Elizabeth Pepe, Rowan University; Stephanie Farrell, Rowan University; Kauser Jahan P.E., Rowan University; Cheryl A. Bodnar, Rowan University; Ashley Ferrante, Rowan University; Adam Anthony Cavallaro; Samantha K. Price; Jeffrey E. Dobkowski, Rowan University; Zachery Dean Miller, Rowan University

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NSF Grantees Poster Session

groups (a total of 9 participating students). Proper humansubjects’ approval was obtained prior to the conduct of this study. More details on this specificstudy are included in the authors’ peer-reviewed journal article accepted for publication for theInternational Journal of Engineering Education [19].4.1 Survey ResultsTwo validated survey instruments were used in the assessment of the project: (1) students’adaptive learning engagement in science [20]; and (2) the perceived competence scale [21]. Thestatements for the self-efficacy and self-regulation surveys are presented in Table 1.Table 1: Statement for self-efficacy and self-regulation surveys Statement for Average Student Statement for Average Student Responses Responses for

Conference Session

Best In DEED

Collection

2019 ASEE Annual Conference & Exposition

Authors

Giovanna Scalone, University of Washington; Aaron Justin Joya, University of Washington; Kathryn Elizabeth Shroyer, University of Washington; Cynthia J. Atman, University of Washington

Tagged Divisions

Design in Engineering Education

provide students with standards that they can use to monitor and evaluatetheir learning. For educators, gaining insights into students’ intentional and goal-directedprocesses makes visible students’ orientations, motivation, and intent because they make theirunderstanding related to a task explicit and show how they are translating their tasks into goals[2].From a social cognitive viewpoint [3], self-regulation refers to learning processes that includestrategies for achieving goals on the basis of self-efficacy perceptions. This viewpoint accountsfor self-regulated learning strategies, self-efficacy, and commitment to goals. Thus, implying thatstudents are metacognitively, motivationally, and behaviorally engaged in their own learningprocess

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

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education

two instances in time: their Fall and Spring senior capstone designcourse. The findings from the prior longitudinal study also impelled the authors to implement aqualitative survey to gain insight into the student’s perspective of their motivation. Both of thesurveys measure five factors of student motivation: cognitive value, intrinsic value, self-regulation,self-efficacy, and test/presentation anxiety.This paper presents quantitative and qualitative results to further explore the impact of studentmotivation on their performance in senior capstone design courses. The study also examines thestudent’s motivation factors with regard to their demographic information. This includes thestudent’s gender, age, residency (domestic or international

Conference Session

Pre-College Engineering Education Division Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Kelli Paul, Indiana University; Adam V. Maltese, Indiana University; Karen Miel, Tufts University; Merredith D. Portsmore, Tufts University; Euisuk Sung, Indiana University

Tagged Divisions

Pre-College Engineering Education

validated measures includingthe STEM Fascination and Competence/Self-efficacy Scales [27-28], the STEM Career InterestSurvey (STEM-CIS) [29], the Modified Attitudes toward Science Inventory (M-ATSI) [30], andthe Persistence Research in Science & Engineering survey (PRiSE). We selected items fromthese instruments to address unique aspects of the constructs of interest within the engineeringcontext. When possible, we tried to select entire scales from validated instruments. Therefore, wedid not select items from other existing measures when they were redundant with items alreadyincluded from an intact scale. We added 21 items in the following areas:performance/competence (8 items), STEM fascination (6 items), interest (4 items

Conference Session

Bridge Programs Connecting to First-Year Engineering

Collection

2019 ASEE Annual Conference & Exposition

Authors

Kuldeep S. Rawat, Elizabeth City State University; Robin Renee Mangham, Elizabeth City State University; Orestes Devino Gooden, Elizabeth City State University; Elton L. Stone, Elizabeth City State University

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs, Pre-College Engineering Education

Surveys, Dimensions of Success (DoS) Observation tool, pre/post topic self-efficacy, and survey student interviews. The results showed that engineering design activitieshad a positive impact on attitude towards STEM learning and careers. Integration ofengineering design principles, student demographics and evaluation instruments and resultsare discussed in this paper.IntroductionEngineering is a natural platform for the integration of science, technology, engineering, andmathematics (STEM) content into K-12 classrooms, while sparking creativity amongst youngminds. Research around effective learning in K-12 classrooms demonstrates that anengineering approach to identifying and solving problems is valuable across all disciplines.Educators and

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

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education

”, Self-efficacy beliefs of adolescents 5, 307–337.http://web.stanford.edu/dept/psychology/bandura/pajares/014-BanduraGuide2006.pdf[11] Barr, D. A.; & Burke, J. R. (2013). “Using confidence-based marking in a laboratory setting: A tool for student self-assessment and learning.”The Journal of chiropractic education, 27(1), 21. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3604960/[12] Carberry, A.; Lee, H. & Ohland, M. (2010), “Measuring engineering design self-efficacy”, Journal of Engineering Education 99 (1), 71–79.http://www.ceeo.tufts.edu/documents/journal/carberry_lee_ohland.pdf[13] Fantz, T.; Siller, T. & Demiranda, M. (2011), “Pre-Collegiate Factors Influencing the Self-Efficacy of Engineering Students”, Journal ofEngineering

Conference Session

Women in Engineering Division Technical Session 4

Collection

2019 ASEE Annual Conference & Exposition

Authors

Chaoyi Wang; Michael Frye, University of the Incarnate Word

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

,manufacturing, construction technology, aviation technology, and automotive technology [5].Moreover, Latinos, as the largest ethnic or racial minority group in the United States, suffer froma greater gender gap in STEM careers (more men than women) compared with Asians andAfrican Americans [6], [7]. These gender gaps in STEM interest and STEM-related careerssignal the need for broadening the participation of women and students of color in STEM fields[8]. There is mounting evidence of the impact of STEM enrichment programs on changingstudents’ attitudes toward STEM subjects, stimulating the interests of K-12 students, influencingstudents’ self-efficacy, improving retention for STEM in schools, and expanding students’ senseof STEM career options

Conference Session

Women in Engineering Division Technical Session 2

Collection

2019 ASEE Annual Conference & Exposition

Authors

Renee M. Desing, Ohio State University; Rachel Louis Kajfez, Ohio State University

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

interactive relationship withindividual characteristics and situational conditions [20]. The individual characteristics of careermotivation theory are identified as (1) career identity, which is the relationship between one’scareer and identity, including the desire for upward mobility; (2) career insight, which is theperceptions of oneself and the organization, and how these perceptions are related to careergoals; and (3) career resilience, which is the resistance to career disruptions in less than optimalwork environment conditions, including self-efficacy, risk taking, and dependency [20]. Thesituational conditions include support for career development, opportunities and rewards,structure for goal setting, organizational flexibility, competitive

Conference Session

First-Year Programs: Deciding on a Major

Collection

2019 ASEE Annual Conference & Exposition

Authors

Kerry Meyers, University of Notre Dame; Victoria E. Goodrich, University of Notre Dame

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

choice, but that there can be barriers that confound decision making. For example anindividual’s prior experiences and background (culture, gender, genetic endowment, sociostructuralconsiderations, and disability or health status) impact the nature and range of their career possibilitiesconsidered. In theory, SCCT aims to describe the intersection of self-efficacy beliefs, outcomeexpectations, and goals11. Self-efficacy, defined by Bandura, is one’s own belief about one’s ability toachieve a task12. This derives from four primary sources: performance outcomes, vicarious experiences,verbal persuasion, and physiological experiences. Self-efficacy is a task level theory; it is useful in classsettings where students can perceive separate domains