Paper ID #33717Practicing Engineers’ Definition of Their Expertise: Emergent Themes andFrequency by Gender Identity and Role Change into ManagementCaroline Bolton, Bucknell UniversityDr. Elif Miskio˘glu, Bucknell University Dr. Elif Miskio˘glu is an early-career engineering education scholar and educator. She holds a B.S. in Chemical Engineering (with Genetics minor) from Iowa State University, and an M.S. and Ph.D. in Chemical Engineering from Ohio State University. Her early Ph.D. work focused on the development of bacterial biosensors capable of screening pesticides for specifically targeting the malaria vector
Industrial Engineering (MIE) in the COE has modified itscurriculum to include a course, which addresses essential life and career skills to its students intheir final semester. The course addresses challenges ranging from how to deal with financialpressure, seeking career opportunities, time management, workplace etiquette, and othernecessary skills. It consists of five different modules: Financial Planning, Effective Job Hunting,Accelerating Your Career, Learning Never Stops, and Entrepreneurship. Modules utilizemethodologies from experiential learning theory to enhance student learning and contribute tothe body of knowledge of teaching methods in STEM.An initial assessment was performed to measure the impact of this course and its modules.Metrics
participation engineering clubs andprofessional societies might facilitate post-graduation career commitment in engineering.Moreover, results suggest gaps in opportunities in engineering for women persist even aftergraduation.IntroductionScience and technology industry leaders, educators, and policymakers fear that the United Statesmay soon lack, or is currently deficient in, the skilled labor force required to occupy high-paying,high-skilled jobs in the science, technology, engineering, and mathematics (STEM) workforce.1The problem, often dubbed the “STEM Crisis”, has garnered considerable scholarly, financial,and human resources across the higher education enterprise, as well as an immense amount offederal financial support. The goal is simple: in
a step that is needed to reach a long term goal 8,12,14;this is exogenous instrumentality6,12. An example of exogenous instrumentality would be when astudent believes they need to pass a course in order to reach their academic goals 8. The task canbe perceived as directly related to the future goal, which is described as endogenousinstrumentality6,12. An example of endogenous instrumentality is a student believing that theyneed the information from a course in order to be successful in their future career 8.These three dimensions—extension, future time attitude, and perceived instrumentality—can berepresented as three axes, as demonstrated in Figure 115. On these axes one’s FTP can berepresented as different shapes of a cone10,16. Within
engineering education, identity and equity. Address: Engineering Training Center II (ETC) 204 East Dean Keeton Street Austin, TX 78712 Email: apatrick@utexas.eduDr. Maura Borrego, University of Texas, Austin Maura Borrego is Associate Professor of Mechanical Engineering and Curriculum & Instruction at the University of Texas at Austin. She previously served as a Program Director at the National Science Foun- dation and an associate dean and director of interdisciplinary graduate programs. Her research awards include U.S. Presidential Early Career Award for Scientists and Engineers (PECASE), a National Science Foundation CAREER award, and two outstanding publication awards from the American Educational Research
more effective research programs for communitycollege students to pursue their science and engineering academic and careers goals.Introduction The American Association of Community Colleges reported in 2012 that 44% ofundergraduate students in the U.S. were enrolled in community colleges1. Approximately 50% ofthe African Americans and Hispanics who were undergraduate students attended communitycolleges. In addition, 57% of community college students were females and 46% of allcommunity college students received some form of financial aid1. Based on the increasingenrollment numbers and student demographics, community colleges play a critical role insupporting the U.S. efforts to increase the diversity, knowledge base, and skill level of
Education, 2021 The Stated and Hidden Expectations - Applying Natural Language Processing Techniques to Understand Postdoctoral Job PostingsAbstractThis paper represents recent work applying natural language processing (NLP) techniques to gen-erate insights on postdoc experiences from the job postings in engineering and computer science(CS). Postdoctoral positions are one of the important components of the academic career pipeline.It offers significant educational and professional opportunities, however, limited research has beenfocused on postdocs, especially in the field of engineering and CS with significant gender dispar-ities in postdoc and faculty positions. In this work, we explore NLP techniques to analyze the jobpostings for
, reviews assessment data for eachelement, and offers recommendations to engineering schools wishing to establish their ownprograms for new and future faculty members.I. IntroductionThe default preparation for a faculty career is none at all. Graduate students may get sometraining on tutoring, grading papers, the importance of laboratory safety, and the undesirability ofsexual harassment, and new faculty members may hear about their benefit options, theimportance of laboratory safety, and the undesirability of sexual harassment, but that’s about itfor academic career preparation at most universities. This is an unhealthy state of affairs. Being a college professor requires doing a numberof things that graduate school does not teach you to do
Paper ID #6950Unlocking Student Motivation: Development of an Engineering MotivationSurveyMr. Philip Reid Brown, Virginia Tech Philip Brown is a Ph.D. candidate in Virginia Tech’s Department of Engineering Education. He has a B.S. from Union College and a M.S. from Duke University, both in Electrical Engineering. His research interests include informed career decisions, mixed methods research, motivation and learning theories and intervention development.Dr. Holly M Matusovich, Virginia Tech Page 23.1284.1
teaches context-centered electrical engineering and embedded systems design courses, and studies the use of context in both K-12 and undergraduate engineering design education. He received his Ph.D. in Engineering Education (2010) and M.S./B.S. in Electrical and Com- puter Engineering from Purdue University. Dr. Jordan is PI on several NSF-funded projects related to design, including an NSF Early CAREER Award entitled ”CAREER: Engineering Design Across Navajo Culture, Community, and Society” and ”Might Young Makers be the Engineers of the Future?” He has also been part of the teaching team for NSF’s Innovation Corps for Learning, and was named one of ASEE PRISM’s ”20 Faculty Under 40” in 2014. Dr. Jordan also
, effects of future on the present, and characteristics of future careers. These FTPcharacteristic differences can be used to distinguish between students in terms of their temporalmotivations, particularly when conducting qualitative analysis of interview data.Students who practice SRL use metacognition, motivation, and behaviors to regulate their ownlearning and utilize methods, such as evaluating (metacognitive) and organizing (behavioral), toreach their learning goals19,20. Additionally, students who are self-regulated “perceive themselvesas self-efficacious, autonomous, and intrinsically motivated” (motivational)19. While theliterature defines SRL in many ways, one underlying theme connects all SRL research: studentsachieve at a higher level
include engineering education, identity and equity. Address: Engineering Training Center II (ETC) 204 East Dean Keeton Street Austin, TX 78712 Email: apatrick@utexas.eduDr. Maura Borrego, University of Texas, Austin Maura Borrego is Professor of Mechanical Engineering and STEM Education at the University of Texas at Austin. She previously served as a Program Director at the National Science Foundation, on the board of the American Society for Engineering Education, and as an associate dean and director of interdisciplinary graduate programs. Her research awards include U.S. Presidential Early Career Award for Scientists and Engineers (PECASE), a National Science Foundation CAREER award, and two outstanding publication
Society for Engineering Management and serves as an Associate Editor for both the Engineering Management Journal and Quality Approaches in Higher Education. Prior to his academic career, Schell spent 14 years in industry where he held leadership positions focused on process improvement and organizational development.Mr. Brett Tallman P.E., Montana State University Brett Tallman is currently a Doctoral student in Engineering at Montana State University (MSU), with focus on engineering leadership. His previous degrees include a Masters degree in Education from MSU (active learning in an advanced quantum mechanics environment) and a B.S. in Mechanical Engineering from Cornell. Prior to his academic career, he worked in
differently when selecting or changing majors?Education researchers cite parental education background and achievement levels as a factorinfluencing a child’s education performance and career choice. Parental education attainmentlevel is used, for example, by the National Assesment of Education Progress (NEAP) forlongitudinal studies that report on education progress in reading and mathematics of 9, 13, and17 year old students in U.S. schools.2 Research Question 3: Do important influencers on the choice of engineering major affect UNH engineering students differently based upon their parents’ educational background or achievement level?The UNH Tagliatela College of Engineering offers seven different types of engineering majors
will be sending my application to Tech within the next couple of days. I am very interested in becoming a Civil Engineer. -Seth Bond, Airline High School Senior (TechSTEP pilot participant 2005-06)LaTechSTEP targets students who have shown an aptitude for math and science but needadditional encouragement to consider a STEM discipline as a career choice. Participatingteachers select these students based on their personal experiences with them. “Allowing the high school teachers to select a few students from their classes gives us the ability to identify the students best suited for this program, the ones
sciencesreport doing so due to poor instruction [4]. Accordingly, this line of research has sparked aninterest in improving the quality of education engineering students receive by improvinginstruction through increased understanding of student learning and motivation [3]. From a motivation perspective, some of the most important steps students taketoward a career in science and engineering (S & E) are in choosing the right coursework,experiences, and mentors to get them there. Over the past few years, researchers haveamassed a substantial body of knowledge regarding how students think about their personalfutures. They argue if we want to understand why students choose one career path overanother, and why they choose to persevere or abandon
nature of thetask undertaken.A number of researchers have looked at self-efficacy as it relates to careers and have found thatself-efficacy is strongly related to both the range of career options as well as careerpreferences2,3. For example, Hackett 4 and Hackett and Betz 5 have examined mathematical self-efficacy because of the importance of quantitative skills to science, technology, engineering andtechnology careers. Their research indicates that individuals avoid some careers because ofperceived mathematical ability rather than actual mathematical ability. Interest in specific aspectsof a career and self-efficacy go hand in hand. Individuals with an high self-efficacy in sciencehave a strong interest in theoretical abstract activities and
: CAREER: Engineering Design Across Navajo Culture, Community, and Society (EEC 1351728), Might Young Makers be the Engineers of the Future?(EEC 1329321), and Broadening the Reach of Engineering through Community Engagement (BRECE)(DUE 1259356). He is also Co-PI on one NSF-funded project: Should Makers be the Engineers of the Fu- ture?(EEC 1232772), and is senior personnel on an NSF-funded grant entitled Workshop: I-Corps for Learning (i-Corps-L). He received his Ph.D. in Engineering Education (2010)and M.S./B.S. in Electrical and Computer Engineeringfrom Purdue University,and as a qualitative researcher studies both STEM and informal engineering education. As an educator, he foundedandled a team to two collegiate
mindfulness and its impact on gender participation in engineering education. He is a Lecturer in the School of Engineering at Stanford University and teaches the course ME310x Product Management and ME305 Statistics for Design Researchers. Mark has extensive background in consumer products management, having managed more than 50 con- sumer driven businesses over a 25-year career with The Procter & Gamble Company. In 2005, he joined Intuit, Inc. as Senior Vice President and Chief Marketing Officer and initiated a number of consumer package goods marketing best practices, introduced the use of competitive response modeling and ”on- the-fly” A|B testing program to qualify software improvements. Mark is the Co-Founder
. in Systems Engineering from the University of Virginia. Her research interests include engi- neering design education (especially in regards to the design of complex systems), faculty development, career pathways (both academic and industry), approaches for supporting education research-to-practice.Dr. Courtney S. Smith-Orr, University of North Carolina, Charlotte Courtney S. Smith,PhD is a Teaching Assistant Professor and Undergraduar Director at UNC Char- lotte. Her research interests span the mentoring experiences of African American women in engineer- ing,minority recruitment and retention, and best practices for diversity and inclusion in the Engineering classroom.Dr. Cheryl A. Bodnar, Rowan University Cheryl
trajectories of early-career graduatestudents and senior-level undergraduate students as they consider graduate school. To thisend, we qualitatively examined a corpus of N=50 personal statements, taken from winners ofthe NSF Graduate Research Fellowship Program in one award cycle, to understand thetrajectories that researchers take going into graduate school. Current graduate engineeringenrollment numbers are declining with engineering doctoral attrition rates estimated to beabout 24% and 36% for males and females, respectively. Students from traditionallyunderrepresented minority groups record doctoral attrition rates higher than 50%. This studyemploys the lens of Stewardship Theory, a theory commonly used to characterize thepractices and activities
for graduate school are more important thanpreviously established: Students coming in with uncertain goals and expectations often considerdeparting from their PhD programs. This paper presents interviews with N=35 current engineeringgraduate students, exploring their perceptions for what they thought graduate school would be like.The semi-structured interview protocol probed students to think back on their transitions into theirgraduate programs, expectations for the graduate school experience, and whether thoseexpectations were proven false or were validated. Findings show that those students whoseexpectations were incorrect and resulted in negative experiences were more likely to considerleaving their programs later in their career as a
Paper ID #8899The Influence of Student-Faculty Interactions on Post-Graduation Intentionsin a Research Experience for Undergraduates (REU) Program: A Case StudyDr. Lisa Massi, University of Central Florida Dr. Lisa Massi is the Director of Operations Analysis for Accreditation, Assessment, & Data Adminis- tration in the College of Engineering & Computer Science at the University of Central Florida. She is Co-PI of a NSF-funded S-STEM program and program evaluator for an NSF-funded REU program. Her research interests include factors that impact student persistence and career development in the STEM fields.Caitlyn R
Paper ID #15756Becoming Boundary Spanning Engineers: Research Methods and Prelimi-nary FindingsProf. Brent K. Jesiek, Purdue University, West Lafayette Dr. Brent K. Jesiek is Associate Professor in the Schools of Engineering Education and Electrical and Computer Engineering at Purdue University. He is also an Associate Director of Purdue’s Office of Global Engineering Programs, leads the Global Engineering Education Collaboratory (GEEC) research group, and is the recipient of an NSF CAREER award to study boundary-spanning roles and competencies among early career engineers. He holds a B.S. in Electrical Engineering from
education is to prepare students for engineering in the 21stcentury. Yet critics of engineering education point to the lack of preparation students obtain inschool. This paper examines the career supports and barriers that one cohort of recentengineering graduates experienced in the workplace. Social Cognitive Career Theory (SCCT)describes supports and barriers as environmental factors that individuals perceive as having thepotential to either aid or hinder their pursuit of a particular career goal.1 In this study, supportsand barriers are identified in the engineering departments of four U.S.-based companies. Thedata were gathered from semi-structured interviews with 59 newly hired engineers who hadrecently graduated from college. In two of the
nationally, particularly for students who tookless rigorous STEM courses in high school, a population that disproportionally comprisesunderrepresented minorities. The authors developed an 11-item measure of STEM-specific studystrategies, termed the STEM Study Strategies Questionnaire. We explored STEM-specificidentity, self-efficacy, and career aspirations, as well as perceived utility of attaining a STEMdegree, using a model based on Eccles and Wigfield’s (2002) expectancy-value framework ofachievement. An exploratory factor analysis found a four-factor solution to the newly developedscale: Group Work in STEM, Active STEM Learning, Interactions with STEM Professors, andSTEM Exam Familiarity. The authors found significant moderate to strong
Paper ID #14814The Development of a Measure of Engineering IdentityDr. Allison Godwin, Purdue University, West Lafayette Allison Godwin, Ph.D. is an Assistant Professor of Engineering Education at Purdue University. Her research focuses what factors influence diverse students to choose engineering and stay in engineering through their careers and how different experiences within the practice and culture of engineering foster or hinder belongingness and identity development. Dr. Godwin graduated from Clemson University with a B.S. in Chemical Engineering and Ph.D. in Engineering and Science Education. She is the recipient of
mathematics andscience courses. They further add that these types of curricular reforms are already beingimplemented in some middle schools, are providing opportunities for students to see real lifeapplications of theoretical knowledge acquired in mathematics, physics and other subjects, andare exposing to opportunities in the engineering professions. Godwin et al.18 suggestimplementing the NGSS (Next Generation Science Standards), which explicitly includespractices and core ideas from engineering and technology to develop appropriate identities ofstudents, which can guide them in choosing and performing in their engineering careers. Martin et al. suggest mentoring students pro-actively19. Murphy et al. underline the needfor proactive
education research, and career design. Her areas of investigation include: Indige- nous initiatives in engineering education; student culture, diversity, perspectives, identity, and learning; instructor pedagogical practices and belief-systems; epistemological tensions in engineering education; and engineering competencies in engineering practice. American c Society for Engineering Education, 2021 Entering the Discipline of Engineering Education Research: A Thematic AnalysisAbstractIn this study, we used classical grounded theory and thematic analysis to develop a frameworkto help us understand the process that academics go through to
and the associated expectancies for success in engineering, both as an engineeringstudent and with regard to a future career in engineering. Figure 1: Eccles’ expectancy-value model of achievement choices 8Expectancies can be defined as one’s belief as to how well he or she will perform on anupcoming task or in a future event. 5 Expectancies include one’s perception of both his or herability and the task difficulty. 4 Numerous studies have examined expectancies of success. 6, 9, 10Important outcomes include: 1) evidence supporting higher expectancies for success as beinglinked to better task performance 4, 9, 2) competence beliefs shown to contribute to subjectivetask values 10, 3) competence beliefs found to decrease with age in