Conference Session

Design, Assessment, and Redesign of Writing Instruction for Engineers

Collection

2018 ASEE Annual Conference & Exposition

Authors

Stephanie Pulford, University of California, Davis; Jiahui Tan, University of California, Davis; Michael Raymond Gonzalez, University of California, Davis; Amanda Modell, University of California, Davis

Tagged Divisions

Liberal Education/Engineering & Society

they are capable of achievement in a given learningsituation, as expressed on the MLSQ); and control-of-learning beliefs (a student’s belief that acourse’s content is indeed learnable at all, also expressed on the MLSQ).Our quantitative evidence of the relationship between students’ intrinsic and extrinsicmotivations and the three measures of perception of competence can be seen in Figure 5. Acrossthe 432 survey respondents whose scores were complete enough to characterize, there was astatistically significant relationship between intrinsic goal orientation and writing apprehension,self-efficacy for learning, and control-of-learning beliefs, which can be modeled as a linearcorrelation. There was also a statistically significant linear

Conference Session

Seeking Resilience and Learning to Thrive Through Engineering Education

Collection

2018 ASEE Annual Conference & Exposition

Authors

Mark V. Huerta, Arizona State University

Tagged Divisions

Liberal Education/Engineering & Society

andengineering. One study explored the relationship between mindfulness and innovation inengineering and found that dispositional mindfulness significantly correlated with innovationself-efficacy among students (Rieken et al, 2017). This study defined innovation self-efficacy asone’s confidence in their ability to innovate. There was another study that demonstratedmindfulness correlated with business skills self-efficacy (i.e. students’ confidence in performingbusiness skills) and the intent to pursue a career in a start-up or entrepreneurship (Rieken, Schar,and Sheppard, 2016). The purpose of this study is to evaluate whether engineering studentswould be receptive to potentially integrating contemplative practices such as mindfulnessmeditation to

Conference Session

Undergraduate Peer Educators: Mentoring, Observing, Learning

Collection

2018 ASEE Annual Conference & Exposition

Authors

YunJeong Chang, University of Virginia; Rider W. Foley, University of Virginia

Tagged Topics

ASEE Board of Directors

Tagged Divisions

Liberal Education/Engineering & Society

. vol. 11, pp. 815–829, 2011.[4] D. R. E. Cotton, R. George and M. Joyner, “Interaction and influence in culturally mixedgroups,”. Innovations in Education and Teaching International., vol. 50, 272-283, 2013.[5] A. W. Astin, Assessment for Excellence: The Philosophy and Practice of Assessment andEvaluation in Higher Education, Washington, DC: American Council on Education/Oryx PressSeries on Higher Education, 1991.[6] E. L. Deci and R. M. Ryan, Intrinsic motivation and self-determination theory in humanbehavior. New York, NY: Plenum Press, 1985.[7] J.M. Keller, “Development and use of the ARCS model of motivational design,” J.Instructional Dev. vol. 10, 2-10, 1987.[8] A. Bandura, Self-efficacy. New York, NY: John Wiley & Sons, Inc., 1977.[9

Conference Session

Seeking Resilience and Learning to Thrive Through Engineering Education

Collection

2018 ASEE Annual Conference & Exposition

Authors

Julianna Sun Ge, Purdue University, West Lafayette; Edward J. Berger, Purdue University, West Lafayette

Tagged Divisions

Liberal Education/Engineering & Society

education literature search findings,professional reports, and validity checks with faculty, the list in Table 1 is neither exhaustive norfinal. Rather, this list serves as the first attempt to operationalize various academic and personalcompetencies relevant to thriving in the engineering context. Described in more detail in theFuture Research section, more research is needed to refine and validate this conceptualframework for engineering thriving.Table 1. Competencies important to engineering student success, as identified in publishedresearch papers in Engineering Education and professional reports (such as ABET and NSF) Competency Definition Academic Self-efficacy

Conference Session

Diversity and Inclusion: Concepts, Mental Models, and Interventions

Collection

2018 ASEE Annual Conference & Exposition

Authors

Megan Keogh, University of Colorado, Boulder; Malinda S. Zarske, University of Colorado, Boulder; Janet Y. Tsai, University of Colorado, Boulder

Tagged Topics

Diversity

Tagged Divisions

Liberal Education/Engineering & Society

pursuingengineering degrees [5-6]. This is particularly true for women in STEM [7-8]. Of the womenwho do graduate with an engineering degree, many seek jobs outside of the engineering industrymore often than their male counterparts. Many reports indicate that women leave engineeringjobs in part because of low self-confidence in their technical abilities. A study published by theAmerican Sociological Review shows that women express and feel less professional roleconfidence than men when in engineering [9]. This study, along with others, affirm that womenin engineering careers often have lowered self confidence in their technical competencies even ifthey persisted through getting an engineering degree [9-10]. Lowered self-efficacy coupled withan extra pressure

Conference Session

Maps, Metaphors, Tweets, and Drafts

Collection

2018 ASEE Annual Conference & Exposition

Authors

Judy Randi, University of New Haven; Ronald S. Harichandran, University of New Haven; Joseph A. Levert P.E., University of New Haven; Bijan Karimi, University of New Haven

Tagged Divisions

Liberal Education/Engineering & Society

for reviewer comments; only minor revisions were recommended in the review process.This client’s review indicated how well the team had been incorporating his feedback throughoutthe project.Our assessment of student learning is not based on a statistical model, as in large-scaleassessments, but rather it measures how students perform on a classroom-based assessment.Pellegrino argues that classroom assessments, which depend on interpretations made by teachersusing qualitative data, rather that statistical models, are not being used to their fullest potential[12]. The qualitative data that follow provide evidence for interpreting student performance,including students’ use of feedback in the revision process. These data are provided to