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Conference Session
K-12 & Pre-College Engineering Division: Fundamental: K-12 Student Beliefs, Motivation, and Self Efficacy
Collection
2016 ASEE Annual Conference & Exposition
Authors
Michael A. de Miranda, Colorado State University; Karen E. Rambo-Hernandez, West Virginia University; Paul R. Hernandez, West Virginia University
Tagged Topics
Diversity
Tagged Divisions
Pre-College Engineering Education Division
the assessment of student learning, particularly the assessment of academic growth, and evaluating the impact of curricular change.Dr. Paul R. Hernandez, West Virginia University c American Society for Engineering Education, 2016 Measuring Student Content Knowledge, iSTEM, Self Efficacy, and Engagement Through a Long Term Engineering Design InterventionAbstractThe current study reports on the outcomes of a classroom-based long-term engineering designintervention intended to increase high school students’ perceptions of the integrated nature ofSTEM disciplines (iSTEM) and to assess the effect of the intervention on student participation inan extracurricular STEM activity (i.e., a research poster
Conference Session
Multidisciplinary Effects on Student Learning
Collection
2016 ASEE Annual Conference & Exposition
Authors
Tela Favaloro, University of California, Santa Cruz; Tamara Ball, University of California, Santa Cruz; Zachary W Graham, University of California, Santa Cruz; Michael S. Isaacson, University of California, Santa Cruz
Tagged Topics
Diversity
Tagged Divisions
Multidisciplinary Engineering
Paper ID #14844Facilitating Learner Self-efficacy through Interdisciplinary Collaboration inSustainable Systems DesignDr. Tela Favaloro, University of California, Santa Cruz Tela Favaloro received a B.S. degree in Physics and a Ph.D. in Electrical Engineering from the Univer- sity of California, Santa Cruz. She is currently working to further the development and dissemination of alternative energy technology; as project manager of a green building design initiative and researcher with the Center for Sustainable Engineering and Power Systems. Her background is in the development of characterization techniques and
Conference Session
K-12 & Pre-College Engineering Division: Fundamental: K-12 Student Beliefs, Motivation, and Self Efficacy
Collection
2016 ASEE Annual Conference & Exposition
Authors
Jennifer B. Listman, New York University ; Vikram Kapila, New York University
Tagged Topics
Diversity
Tagged Divisions
Pre-College Engineering Education Division
to lower numbersof females in certain STEM majors and subsequent STEM careers. Gender differences in self-efficacy have been demonstrated in relation to math and engineering disciplines amongundergraduate students.10,11 We investigated the effects of a mentored summer researchexperience on high school students’ self-efficacy as it applied to STEM research-related tasks.The program participants are approximately 50% male and 50% female. Participants were askedto answer a 32-item anonymous, online survey, which is designed to measure STEM researchself-efficacy, both prior to entering and immediately upon completion of the program.2. Brief Description of Summer ProgramBased at New York University Tandon School of Engineering (NYU Tandon), a
Conference Session
K-12 & Pre-College Engineering Division: Fundamental: K-12 Student Beliefs, Motivation, and Self Efficacy
Collection
2016 ASEE Annual Conference & Exposition
Authors
J. Jill Rogers, University of Arizona; Rebecca Primeau, University of Arizona; Noel Kathleen Hennessey, University of Arizona; James C. Baygents, University of Arizona
Tagged Topics
Diversity
Tagged Divisions
Pre-College Engineering Education Division
engineering clubs and marketing campaigns with smiling female faces of all races haveemerged, and seem to help underrepresented students believe they can succeed and will “fit in”to the engineering culture. Recent reports and research measuring female student engineeringself-efficacy assert the positive impact of these types of treatments (American Association ofUniversity Women Educational Foundation, 2002; Burger, Raelin, Reisberg, Bailey & Whitman,2010; Corbett, Hill & Rose, 2008; Corbett, Hill & Rose, 2010; Fantz & Miranda, 2010; Marra,Rodgers, Shen & Bogue, 2009; Society of Women Engineers report, 2015).Self-efficacy beliefs are the thoughts or ideas people hold about their abilities to perform thosetasks necessary to achieve
Conference Session
K-12 & Pre-College Engineering Division: Fundamental: K-12 Student Beliefs, Motivation, and Self Efficacy
Collection
2016 ASEE Annual Conference & Exposition
Authors
Vanessa Svihla, University of New Mexico
Tagged Topics
Diversity
Tagged Divisions
Pre-College Engineering Education Division
-Lopez, Changes in Latino/a Adolescents’ Engineering Self-efficacy and Perceptions of Engineering After Addressing Authentic Engineering Design Challenges, in Proceedings of American Society for Engineering Education Annual Conference. 2015, ASEE: Seattle, WA. p. 1-14.18. Mejia, J.A., et al., Funds of Knowledge in Hispanic Students’ Communities and Households that Enhance Engineering Design Thinking, in Proceedings of American Society for Engineering Education Annual Conference. 2014, ASEE: Indianapolis, IN. p. 1-20.19. Olitsky, S., Structure, agency, and the development of students’ identities as learners. Cultural Studies of Science Education, 2006. 1(4): p. 745-766.20. Kennedy, M., The Ownership
Conference Session
K-12 & Pre-College Engineering Division: Fundamental: K-12 Student Beliefs, Motivation, and Self Efficacy
Collection
2016 ASEE Annual Conference & Exposition
Authors
Brenda Capobianco, Purdue University, West Lafayette; James D. Lehman, Purdue University; Qiming Huang, Purdue University; Chell Nyquist, Purdue University
Tagged Topics
Diversity
Tagged Divisions
Pre-College Engineering Education Division
measured the degree to which teachers’ lesson implementations showed evidence of theengineering design practices encouraged by the project, and students’ scores on the contentknowledge post-tests for each design task. The results are shown in Table 11 (for grade 5 tasks)and Table 12 (for grade 6 tasks).The results indicate that there were small to moderate positive correlations between teachers’implementation rubric scores and students’ knowledge post-test scores in both grades 5 and 6.These correlations ranged from a low of r = 0.14254 (for the relationship of teachers’ WaterFilter implementation scores and students’ Water Filter post-test scores) to a high of r = 0.45466(for the relationship of teachers’ Solar Tracker implementation scores and
Conference Session
K-12 & Pre-College Engineering Division: Home, Parents, and Other Out-of-School Issues Related to K-12 and Pre-College Engineering Education
Collection
2016 ASEE Annual Conference & Exposition
Authors
Tamecia R. Jones, Purdue University, West Lafayette; Jean M. Trusedell, EPICS; William C. Oakes, Purdue University, West Lafayette; Monica E. Cardella, Purdue University, West Lafayette
Tagged Topics
Diversity
Tagged Divisions
Pre-College Engineering Education Division
STEM careers butthe question remained how much was attributable to the EPICS experience itself. An instrument9based in Social Career Cognitive Theory10 was developed to assess change in self-efficacy,outcome expectations, and personal interest in engineering amongst high school students whoparticipated in the EPICS High program. It was comprised of survey questions and open-endedresponses. In addition to the focus on self-efficacy, outcome expectations, and interests, thesurvey addressed perceived attributes of an engineer, student understanding of scientists versusengineers, changes in grades, college and major goals, and contextual supports. More detailsabout the full instrument have been published previously9, and the analysis of the data
Conference Session
Addressing Diversity Issues in Engineering Education
Collection
2016 ASEE Annual Conference & Exposition
Authors
Anna Marbella Camacho, Cañada College; Denise Hum, Cañada College
Tagged Topics
Diversity
Tagged Divisions
Two Year College Division
capability to complete specific tasks or goals) a self-efficacy instrument was administered as part of the pre- and post-program surveys. Studentswere asked 18 of the 34 question Mathematics Self Efficacy Scale developed by Nancy Betz andGail Hackett to measure student self-efficacy related to math both at the very beginning of MathJam and again on the last day of the program. The questions related to math tasks that studentsmight encounter in day-to-day life. The analysis of the responses is shown in Table 8. Overall,students in STEM math classes increased their math self-efficacy. It is important that studentsbelieve in their capacity to complete math tasks because “there is evidence linking STEMattrition to such attitudinal factors as motivation
Conference Session
Pathways to Success in STEM through Computer Science and Making
Collection
2016 ASEE Annual Conference & Exposition
Authors
Alicia Nicki Washington, Winthrop University; Shaefny Grays, North Carolina State University ; Sudipta Dasmohapatra, North Carolina State University
Tagged Topics
Diversity
Tagged Divisions
Minorities in Engineering
Computer Science Education. 6. Goode, J. 2008. Computer science segregation: Missed opportunities. The Voice. 4(2). 7. Graham, J. M., & Caso, R. (2002). Measuring engineering freshman attitudes and perceptions of their first year academic experience: The continuing development of two assessment instruments. In the Proceedings of the 32nd Annual Frontiers in Education Conference. 8. Gushue, G.V. and Whitson, M.L. (2006). The relationship among support, ethnic identity, career decisions and self-efficacy, and outcome expectations in African-American high school students. Journal of Career Development, 33(2), 112-124. 9. Hilpert, J. C., Stump, G., & Husman, J. (2010). Pittsburgh engineering
Conference Session
First-Year Programs Division Technical Session 2A: Using Alternative Measurements to Look at Students and Their Success
Collection
2016 ASEE Annual Conference & Exposition
Authors
Mark Schar, Stanford University; Angela Harris, Stanford University; Robert J. Witt, University of Wisconsin - Madison; Robert Rice, University of California - Merced; Sheri Sheppard, Stanford University
Tagged Topics
Diversity
Tagged Divisions
First-Year Programs
) and have shown that self-expansion can have many benefits includingsharing of resources and greater self confidence. We call this “closeness,” and have used Aron’sscale to measure student closeness to “others” in the engineering classroom – Professor, TA, LabGroup, Classroom and Friend. A total of 571 complete observations were obtained at threeuniversity locations among students enrolled in the local equivalent course, Introduction to SolidMechanics or Statics. Classroom sizes varied from Large (~400 students) to Medium (125-150students) to Small (75-90 students).Results show that closeness plays an important role in classroom performance, particularly incombination with mechanics self-efficacy (or personal confidence in your mechanics
Conference Session
First-Year Programs Division Technical Session 2A: Using Alternative Measurements to Look at Students and Their Success
Collection
2016 ASEE Annual Conference & Exposition
Authors
Nora Honken, University of Cincinnati; Patricia A Ralston, University of Louisville; Thomas Tretter, University of Louisville
Tagged Topics
Diversity
Tagged Divisions
First-Year Programs
impacted by his/her competency, self-efficacy, andtheir perceived level of control over the task31. Weiner32 states that expectancy will be lower ifthe individual’s perceived ability is low or his/her perceived difficulty of the task is high. Healso states that if an individual assumes that conditions will remain the same and that his pastsuccess was due to ability, he will anticipate success in another similar task. Since manystudents measure success by GPA, first semester GPA was used as a measure of expectancy inthe current study. Further support for using GPA to measure expectancy is given in the literaturereview section.Value Value is related to the incentive or gain from doing or completing a task31. Eccles andWigfield31 list four
Conference Session
CEED Paper Session 1: Using Co-Op and Internships to Improve Diversity, Retention, Learning, and Assessment
Collection
2016 ASEE Annual Conference & Exposition
Authors
Katelyn Elizabeth Gunderson, Rochester Institute of Technology; Margaret B. Bailey P.E., Rochester Institute of Technology ; Joseph A. Raelin, Northeastern University; Jamie Ladge; Robert Garrick, Rochester Institute of Technology
Tagged Topics
Diversity
Tagged Divisions
Cooperative & Experiential Education
support services could impact retentionrates for both male and female students. Self-efficacy, defined as the perceived degree of self-confidence a person feels towards their ability to complete a given task 2, was predicted toexplain why participation in cooperative education improves retention in engineering fields. Theprior study discussed three main measures of self-efficacy for engineering students; academicself-efficacy, work self-efficacy, and career self-efficacy. Academic success was shown toenhance an individual’s self-efficacy in this area while cooperative education was the maininfluence on work self-efficacy for students who participate in these programs and finally, allforms of self-efficacy were enhanced by academic support.3The
Conference Session
NSF Grantees Poster Session II
Collection
2016 ASEE Annual Conference & Exposition
Authors
Jane Gage Stout, Computing Research Association; Neslihan Burcin Tamer, Computing Research Association
Tagged Topics
Diversity, NSF Grantees Poster Session
women, and how those stereotypic beliefs are related to engagement in computingacross time. Our research took place over the course of a year, and involved two time points of datacollection. During the first time point, we measured women’s stereotypic beliefs about gender aptitudein computing, as well as their self-conceptions in computing (i.e. self-efficacy, belonging, andidentification with computing). One year later, we measured women’s self-conceptions again, as well aswhether women had participated in collaborative learning activities during the past year. We thengauged the link between stereotype endorsement and self-conceptions, and whether that link wassevered among women who had participated in collaborative learning. We expected that
Conference Session
Faculty Development II: Building Community Among STEM Educators
Collection
2016 ASEE Annual Conference & Exposition
Authors
Toni Ivey, Oklahoma State University; Nicole M. Colston, Oklahoma State University; Julie Thomas, University of Nebraska, Lincoln; Juliana Utley, Oklahoma State University
Tagged Topics
Diversity
Tagged Divisions
Educational Research and Methods
and perceptions regarding engineering.Additionally, changes in teachers’ self-efficacy of teaching engineering and students’ attitudesabout science and engineering were measured. This article discusses the value of elementaryengineering education in rural communities.Keywords: Engineering education; professional development; elementary; rural schoolsIntroduction Science education in elementary (K-6) curriculum is often lacking and leads towidespread lack of preparation and misconceptions about fundamental science ideas in middleand high school students.1 Researchers have documented that elementary classroom scienceinstruction is typically limited and of low quality.2,3,4,5 Further, results from a 2013 nationalsurvey indicated that
Conference Session
NSF Grantees Poster Session II
Collection
2016 ASEE Annual Conference & Exposition
Authors
Sandra Loree Dika, University of North Carolina, Charlotte; Miguel A. Pando, University of North Carolina, Charlotte; Brett Tempest, University of North Carolina, Charlotte
Tagged Topics
Diversity, NSF Grantees Poster Session
achievement and engineering interest [33,34]. Self-efficacyfigures prominently in Social-Cognitive Career Theory (SCCT) [7] to explain achievement andcareer-related choices. The authors of the theory suggest that contextual factors are particularlyinfluential for underrepresented groups, and have successfully employed the theory to understandengineering interest and goals [35,36,37], adjustment [38], satisfaction [39], and persistence [40] amongcollege engineering students. Other researchers have employed the framework to understandpersistence of ethnic minority women in engineering [41,42].Marra and colleagues [43] developed the Longitudinal Assessment of Engineering Self-Efficacy(LAESE) to measure self-efficacy, feelings of inclusion, and outcome
Conference Session
Classroom Practice III: Student-Centered Instruction
Collection
2016 ASEE Annual Conference & Exposition
Authors
Matthew Reyes, University of Oklahoma; Diana Bairaktarova, Virginia Tech; Anna Woodcock, California State University San Marcos
Tagged Topics
Diversity
Tagged Divisions
Educational Research and Methods
whenselecting a test.6, 19, 21, 22, 23, 24, 25, 26 While each test measures a slightly different aspect of the broadtopic of spatial skills, many of them correlate highly with one another. Since this study calls for ameasure of general spatial skills, the authors chose a revised version of the PSVT:R test to assessparticipants’ spatial skills.Authors’ Previous Work Previous work by the authors indicates that individuals’ spatial ability differ by gender,age, and ethnicity.27 However, differences were not found on variables such as a student’sclassification (or year in school), early life experiences, and college major. Motivational factors,particularly domain-specific self-efficacy, are positively correlated with individuals’ spatial
Conference Session
NSF Grantees Poster Session I
Collection
2016 ASEE Annual Conference & Exposition
Authors
Anthony Hernandez, California State University Los Angeles; Pearl Chen, California State University, Los Angeles; Christine C. Clemmons, California State University, Los Angeles; Jianyu Jane Dong, California State University, Los Angeles
Tagged Topics
Diversity, NSF Grantees Poster Session
impact ofcollaborative project-based learning (CPBL) on the self-efficacy of traditionally underrepresented minoritygroups in electrical engineering courses with the support of NSF. The project goals include: 1) Improve theunderstanding of the factors that affect the self-efficacy of minority student groups in Engineering; 2) Developbetter ways to measure the impact of collaborative learning in the developmental stages of the student learningprocess in addition to the learning outcomes; 3) Design a more effective instructional system that integratescommunity inquiry to boost the self-efficacy of underrepresented minority students.Since 2013, the research effort has produced interesting results that allowed us to better understand the
Conference Session
Mathematics Division Technical Session 2
Collection
2016 ASEE Annual Conference & Exposition
Authors
Gustavo Moran, Clemson University; Lisa Benson, Clemson University
Tagged Topics
Diversity
Tagged Divisions
Mathematics
-concepts of math ability are also examined 10,14. According toBandura16, math anxiety has an inverse relation to self-efficacy levels. Thus, increasing mathself-efficacy may decrease students’ feelings of anxiety when they perform math activities 17.There is some ambiguity concerning the possible effects of math anxiety on students, and thisambiguity is normally generated by the different ways by which math anxiety is measured. Forexample, including survey items and questions that could combine students’ perceptions of theirmath abilities with their feelings about performing math tasks can create ambiguity 13. If mathanxiety is not established and measured as an independent factor, developing a conclusion aboutits effects on students’ behavior and
Conference Session
Engineering Economy Division Technical Session 1
Collection
2016 ASEE Annual Conference & Exposition
Authors
K. Jo Min, Iowa State University; John Jackman, Iowa State University; Michelle Zugg, Iowa State University
Tagged Topics
Diversity
Tagged Divisions
Engineering Economy
, 1995, Generalized Self-Efficacy Scale. In J. Weinman, S. Wright, and M.Johnston, Measures in health psychology: A user’s portfolio. Causal and control beliefs (pp. 35-37). Windsor, UK:NFER-NELSON.10 Cohen J., 1988, Statistical Power Analysis for the Behavioral Sciences (2nd ed.), Lawrence Earlbaum Associates,New Jersey.11 Shi, W. and K. J. Min, 2014, “Product Remanufacturing: A Real Options Approach,” IEEE Transactions onEngineering Management, Vol. 61, pp. 237-250, 2014.12 Shi, W. and K. J. Min, 2014, “Product Remanufacturing and Replacement Decisions Under Operations andMaintenance Cost Uncertainties,” The Engineering Economist – Special Issue on Engineering Economics inReliability, Replacement and Maintenance, Part 1, Vol. 59
Conference Session
Women in Engineering Division Technical Session - Understanding and Changing Engineering Culture
Collection
2016 ASEE Annual Conference & Exposition
Authors
Mary E Fitzpatrick, University of Wisconsin Madison College of Engineering; Manuela Romero, University of Wisconsin, Madison; Jennifer Sheridan, University of Wisconsin, Madison
Tagged Topics
ASEE Diversity Committee, Diversity
Tagged Divisions
Women in Engineering
, 2016Changes in Undergraduate Engineering College Climate and Predictorsof Major Commitment: Results from Climate Studies in 2008 and 2015Abstract This paper presents results of two cross-sectional investigations of educational andinterpersonal climate in a college of engineering at a large mid-western university. In 2008 andin 2015 we deployed a survey ("Project to Assess Climate in Engineering”) to undergraduateengineering students. In each survey year, just over 1000 eligible students participated andresponded to items contributing to scales rating their professors, teaching assistants, collegeresources, confidence (self-efficacy) in engineering, student interactions, perceptions ofengineering, and commitment to an engineering major
Conference Session
NSF Grantees Poster Session I
Collection
2016 ASEE Annual Conference & Exposition
Authors
Kimberly Grau Talley P.E., Texas State University, San Marcos; Araceli Martinez Ortiz, Texas State University, San Marcos; Clara Novoa, Texas State University, San Marcos; Vedaraman Sriraman, Texas State University, San Marcos
Tagged Topics
Diversity, NSF Grantees Poster Session
. Instead, the researchers are customizing a University Seminar (US 1100) section, whichis an introduction to the university freshman seminar course, specifically for engineering andengineering technology majors while exploring research questions related to the development ofstudent design self-efficacy. This paper presents this work in progress including preliminaryresults from pre- and post-project engineering design self-efficacy measures of the initial cohort,lessons learned, and plans for future work.BackgroundThe Texas State STEM Rising Stars project is using a three-sided organizing framework, asshown in Figure 1, to guide the interventions and its associated research plan. This framework isbased upon Swail’s geometric model for student
Conference Session
Engineering Cultures and Identity
Collection
2016 ASEE Annual Conference & Exposition
Authors
Anita Patrick, University of Texas, Austin; Maura Borrego, University of Texas, Austin
Tagged Topics
ASEE Diversity Committee, Diversity
Tagged Divisions
Educational Research and Methods
isevident and supported by Table 2. Despite this lack of coherence, these studies have beenimportant first steps in exploring specific aspects of identity development in engineering. Closely related to identity but not explicitly stated, others have provided a review andanalysis of existing research on the measurement of the characteristics of engineering students inorder to illuminate factors that affect college enrollment and retention.12 The authors, Li,Swaminathan, and Tang, found that many researchers are specifically looking at the factors thathelp or hinder the matriculation of underrepresented groups into engineering. Marra, Rodgers,Shen, and Bogue conducted a multi-institution study on self-efficacy and women engineeringstudents.36
Conference Session
K-12 & Pre-College Engineering Division: Fundemental and Evaluation: Embedded Programs in Engineering Education
Collection
2016 ASEE Annual Conference & Exposition
Authors
Ibrahim Halil Yeter, Texas Tech University; Hansel Burley, Texas Tech University; Terrance Denard Youngblood, Texas Tech University; Casey Michael Williams, Texas Tech University
Tagged Topics
Diversity
Tagged Divisions
Pre-College Engineering Education Division
1.4 Missing 4 .8Instrumentation The 2014 version of the STEM IQ consisted of 71 items. 13 were demographic, 58attitudinal items related to students’ experiences, teamwork, learning experience, hands on activelearning, and career. The study focuses on only attitudinal items with a high reliability Cronbachalpha (α=.83). The items in the questionnaire are based on 100 scale. Further, the attitudinalitems are divided into three components. First component aims to measure STEM-related self-efficacy, like a student’s ability to complete academic milestones and to overcome performancehurdles. Students are asked to indicate their confidence to perform successfully
Conference Session
NSF Grantees Poster Session II
Collection
2016 ASEE Annual Conference & Exposition
Authors
Susan Mary Romanella, Texas State University; Clara Novoa, Texas State University, San Marcos
Tagged Topics
Diversity, NSF Grantees Poster Session
workforceonce they have arrived.Self-efficacy, grit, and leaning in; are these the keys that distinguish female students who willthrive in ECS not only as college students but also as career professionals? Arguably, Bandura,Duckworth, and Sandberg were a perfect storm of women’s empowerment theories. In ourSPARK assessments, we decided to quantify the first two items and qualitatively assess how –and if – our students were “leaning in”.In addition to measuring self-efficacy, we administered surveys to assess the students’ grit,perseverance, ambition, problem-solving abilities, resilience, self-confidence, and GPAs. Weincluded questions about their satisfaction with the various SPARK activities we organizedthroughout the years. We also asked open ended
Conference Session
Women in Engineering Division Technical Session - Pre-college Programs for Women
Collection
2016 ASEE Annual Conference & Exposition
Authors
Shawna Fletcher, Texas A&M University
Tagged Topics
Diversity
Tagged Divisions
Pre-College Engineering Education Division, Women in Engineering
students.In Texas, students were measured over a six-year period. From 2006 – 2010, enrollmentquadrupled and participants increased 18,686 individuals (4498 in 2006 to 23184 in 2010)9.Female participation increased 586% and Hispanic students increased 507%. This study alsoshowed a high impact on students enrolling in higher education (62.1%) compared to their non-PLTW counterparts (58.4%)9. In addition, post-secondary enrollment was slightly greater forfemales (63.5%) compared to their non-PLTW peers (63.1%).Several studies have examined self-efficacy of females for math and science subjects whenparticipating in PLTW10,11,12. Exposure to engineering through PLTW has shown to havesignificant impact on self-efficacy and underrepresented students10. The
Conference Session
Entrepreneurship & Engineering Innovation Division Technical Session 7
Collection
2016 ASEE Annual Conference & Exposition
Authors
Christina S. Morton, University of Michigan; Aileen Huang-Saad, University of Michigan; Julie Libarkin, Michigan State University
Tagged Topics
Diversity
Tagged Divisions
Entrepreneurship & Engineering Innovation
current approach to entrepreneurship education. As engineering educationseeks to recruit and retain diverse groups of students, it is important to consider the influence ofentrepreneurship education environments on women. To date, the few entrepreneurship education studies specific to engineeringentrepreneurship programs are usually multi-institutional and focus on individual studentparticipant characteristics, attitudes, outcomes,12 and interests13. Individual characteristics, suchas a person’s sense of self-efficacy and agency, certainly contribute to one’s interest andcapability for success in entrepreneurship and innovation. Yet, the nature of the environment onechooses to participate in also plays a critical role in initial student
Conference Session
NSF Grantees Poster Session II
Collection
2016 ASEE Annual Conference & Exposition
Authors
Aditya Johri, George Mason University; Lori C. Bland, George Mason University; Stephanie Marie Kusano, University of Michigan
Tagged Topics
Diversity, NSF Grantees Poster Session
decisions. Identifying the decision making behaviors ofparticipating and non-participating students can also help uncover barriers to entry ofextracurricular engineering activities, particularly any barriers affecting underrepresented groupsof engineering students.Another topic for investigation is self-efficacy trends as they relate to extracurricularparticipation. Self-efficacy development was an emerging construct of this study, however sinceself-efficacy was not intentionally investigated for this study, a sufficient understanding of self-efficacy as it relates to extracurricular participation was limited by the research design of thisstudy. Future work should focus primarily on self-efficacy theory and measurement. A possibledirection of this
Conference Session
NSF Grantees Poster Session I
Collection
2016 ASEE Annual Conference & Exposition
Authors
Kent J. Crippen, University of Florida; Chang-Yu Wu, University of Florida; Treavor Boyer, University of Florida; Trisha de Torres; Maria Korolev, University of Florida; Philip J. Brucat, Department of Chemistry / University of Florida
Tagged Topics
Diversity, NSF Grantees Poster Session
. Students used the same 5-pt. Likert-type scale to rate theiragreement with items such as: 1) I consider several ways to solve the problem before I answerand 2) I know how well I did after solving the problem.Results Across the two courses, 530 students consented to participation and served as ourresearch sample. In addressing the research questions, comparisons of changes within-subjectsfrom pre to posttest were assessed via paired t-test. Between groups comparisons involved ananalysis of covariance (ANCOVA) with the pretest values for each measure as the covariate. For the first semester course, the treatment group had initially higher levels of self-efficacy, confidence in their math and science abilities, prior exposure to project
Conference Session
First-Year Programs Division Technical Session 5A: Work-In-Progress: 5 Minute Postcard Session I
Collection
2016 ASEE Annual Conference & Exposition
Authors
Rachel McCord Ellestad, University of Tennessee - Knoxville
Tagged Topics
Diversity
Tagged Divisions
First-Year Programs
and metacognition. Thus this response is surprisingwhen looking at the clustering alone. The literature suggests a few possible reasons why thisresponse occurred. First, self-efficacy and test anxiety may play a more distinct role in gradeperformance than many of the other factors investigated in this particular study [12, 13]. Cluster3 participants reported higher levels of self-efficacy, lower levels of test anxiety when comparedto cluster 1. Future work will further investigate how these factors play a role in performance.Second, many SRL theorists believe that participants may have difficulty accurately assessingtheir levels of SRL skills [14-16]. A call for qualitative measures as well as studies conducted intrue learning contexts may
Conference Session
Out-of-school-time Engineering: Implications for Underrepresented Students
Collection
2016 ASEE Annual Conference & Exposition
Authors
Stephanie Luster-Teasley, North Carolina A&T State University; Radiah C. Minor, School of Agriculture and Envrinmental Sciences, North Carolina A&T State University; Vernal G. Alford III, North Carolina Agricultural and Technical State University
Tagged Topics
Diversity
Tagged Divisions
Minorities in Engineering
. The program seeksto improve students’ competence and self-efficacy in science and engineering, stimulate an interestin pursuing STEM-related careers, and provide engaging “hands-on/mind-on activities.” Theprogram is divided into two initiatives which include an academic year and weekend academy. Atotal of 45 middle school students have participated in a 1-week Girls in Science Lab Camp andfive half-day Girls in Science and Engineering Weekend Academy activities. For the Girls inScience Lab program, the participants were divided into teams and assigned an environmentalscience and engineering themed case study to solve during guided laboratory experience. Studentswere taught how to collect and analyze water samples using university laboratory