Conference Session

NSF Grantees: S-STEM 3

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Mary Katherine Watson, The Citadel; Simon Thomas Ghanat P.E., The Citadel; Timothy Aaron Wood, The Citadel; William J. Davis P.E., The Citadel; Kevin C. Bower, The Citadel; Tara Hornor, The Citadel; Ronald W. Welch P.E., The Citadel

Tagged Topics

NSF Grantees Poster Session

Community and Self-Efficacy Building of Civil Engineering StudentsIntroductionThe Citadel, a regional, residential military college, is currently engaged in a multi-year NSF S-STEMproject to encourage persistence of academically-talented, low-income civil engineering students. OurExcellence in Civil Engineering Leadership (ExCEL) scholarship program builds on a prior program (ofthe same name) that included 34 scholarship recipients, of which 85% graduated with a STEM degree and65% met the academic requirements to graduate as an ExCEL scholar [1]. The current ExCEL programseeks to retain several community-building and support services that were highly valued by our formerstudents, including: (1) funding to attend the

Conference Session

NSF Grantees: RED 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Uzoma M. Monye, North Carolina Agricultural and Technical State University; Tobin N. Walton, North Carolina Agricultural and Technical State University; Stephen B. Knisley PhD, North Carolina Agricultural and Technical State University

Tagged Topics

NSF Grantees Poster Session

importance in relation to other identities in the self-concept), suggest that the design Fellows are unclear regarding the extent to which their identityas an engineer is one of the more important identities they have. The five items at the bottom ofthe table which measure identity salience (or the likelihood that the identity is activated acrosscontexts) however reflect somewhat higher scores. This suggests the Fellows’ identities asengineers are relevant within their social interactions across multiple contexts. As can be seen in Table 4, the Design Fellows on average reported a moderately highlevel of engineering self-efficacy with an overall mean of 5.44 across all scale items. Thissuggests that the fellows on average “Somewhat Agreed” or

Conference Session

Mechanical Engineering Technical Session: Dynamics I

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Daeyeoul Lee, Purdue University, West Lafayette; Jeffrey F. Rhoads, Purdue University, West Lafayette; Edward J. Berger, Purdue University, West Lafayette; Jennifer Deboer, Purdue University, West Lafayette

Tagged Divisions

Mechanical Engineering

items from the MSLQ [5] wereused. They have been widely used to measure self-efficacy and test anxiety in college settings[26], [33]. They used a 7-point Likert scale ranging from “not at all true of me” to “very true ofme.” The academic self-efficacy items were slightly modified to better fit the dynamics course.Specifically, the phrase of ‘the course’ in the self-efficacy items was changed to ‘ME 274’ toreflect the specific dynamic course number. For example, ‘I am certain I can understand the mostdifficult material presented in this course’ was changed to ‘I am certain I can understand themost difficult material presented in ME 274.’ The reliability of the self-efficacy and test anxietyitems were checked by Cronbach’s α values, which were

Conference Session

Pre-college Engineering Education Division Technical Session 15

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

J. Jill Rogers, University of Arizona; Amy Annette Rogers; James C. Baygents, University of Arizona

Tagged Divisions

Pre-College Engineering Education

Paper ID #29565Effects of High School Dual Credit Introduction to Engineering Course onFirst-Year Engineering Student Self-Efficacy and the Freshman Experience(Evaluation)Ms. J. Jill Rogers, University of Arizona J. Jill Rogers is the assistant director for ENGR 102 HS at the University of Arizona. ENGR 102 HS is an AP-type, dual credit college level, introductory engineering course offered to high school students. In 2014, the ENGR 102 HS program won the ASEE best practices in K-12 and University partnerships award. Over the years Rogers has developed K-12 science summer camps, conducted K-12 educational re- search

Conference Session

Student Approaches to Problem Solving

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Vanessa Svihla, University of New Mexico; Amber Gallup, University of New Mexico; Sung "Pil" Kang, University of New Mexico

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

the content against bothprior analysis and relevant literature. Content validity through expert review We drafted materials for expert review, including a 1-page definition of framing agency and its sub-constructs, a version of the survey, and a scoring sheet. Given the relatively novel nature of the construct (e.g., as compared to developing a scale for self-efficacy in a new domain), we were concerned about the possibility of inclusion bias (i.e., in not having true expertise due to the newness of the construct, would experts tend to rate every question as relevant?). We developed 17 distractors to evaluate experts’ tendency to include constructs that may be interesting but not included as

Conference Session

Approaches to Assessment and Student Reflection

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Sabrine Griffith, Harvey Mudd College; Spencer Rosen, Harvey Mudd College; Eleanor Byrnes, Harvey Mudd College; Laura Palucki Blake, Harvey Mudd College; Matthew Spencer, Harvey Mudd College

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

moving fromconcrete experiences into reflective observation is essential for learning.This learning was assessed by direct assessment of students’ performance on an in-lab exam thatassessed both theoretical and experimental skills, surveys of self-efficacy administered beforeand after the treatment, coding student answers to reflection questions in the lab manuals, andcounting the number of answers to interactive questions to determine compliance.Significant results from the experiment indicated that students in the treatment group took longerto complete the lab, felt greater time pressure, performed more poorly on the in-class evaluation,and had fewer metacognitive gains than the control group. The treatment appears to haveincreased the

Conference Session

ECCD Technical Session 4: Energy and Analysis

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Arash Kialashaki, California State University, Chico

Tagged Divisions

Energy Conversion and Conservation

studentsevaluation of teaching (SET) survey was conducted by CSU Chico Department of InstitutionalResearch which captured students’ attitude regarding self-efficacy using a Likert-type scale from1 to 5. This paper discusses the outcomes of this survey.Tags: Energy Conservation Measure, Engineering Thermodynamics, Energy Efficiency, EnergySavings, Central Utility Plant, Field Trip I. IntroductionPublic policy is a key driver of energy efficiency investment in the United States. State policiesthat support ratepayer-funded energy efficiency programs, federal and state low-incomeweatherization efforts, energy efficiency programs administered by state energy offices, andbuilding codes and standards have been major contributors to the increase in energy

Conference Session

ENT Division Technical Session: Creativity and Innovation

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Karl D. Schubert, University of Arkansas; Kristie Neff Moergen, University of Arkansas; Carol S. Gattis, University of Arkansas; Wen-Juo Lo, University of Arkansas

Tagged Divisions

Entrepreneurship & Engineering Innovation

, almost never), thisscale reflects participants’ awareness of their mindfulness with higher scores indicated they areless mindfulness in the daily life events.Core Self-EvaluationsJudge, Erez, Bono & Thoresen stated, “core self-evaluations is a basic, fundamental appraisal ofone’s worthiness, effectiveness, and capability as a person.” [7] There are four traits that make upthe core self-evaluations: self-esteem, generalized self-efficacy, neuroticism, and locus of control.[16] These traits can be measured to predict people’s satisfaction with their job, job performanceand life situation. [17] In addition, this inventory was validated [7] using both corporate employeesand university students. It asks participants how strongly they agree or

Conference Session

Introduction to the Field of Biomedical Engineering - June 25th

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Heidi A. Diefes-Dux, University of Nebraska, Lincoln; Nicole M. Iverson, University of Nebraska, Lincoln

Tagged Divisions

Biomedical Engineering

by self-efficacy andoutcome expectations derived from learning experiences. Limited exposure to biomedicalengineering topics and engagement in exploration could lead to students not having a well-developed individual interest [9] or finding interests that endure into a career choice, resulting inattrition from the field. To put this more concretely, if students’ exposure to biomedicalengineering is only focused on prosthetics, that might be initially interesting to them; but if thatinterest is lost, then interest in biomedical engineering as a whole is compromised. Withoutexposure to the many areas associated with biomedical engineering, students cannot proceedfrom triggered situational interest to maintained situational interest; meaning

Conference Session

Computers in Education Division Technical Session 4: Digital Learning Part II

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Fadi Castronovo, California State University, East Bay; Jesus Oliver Ph.D., California State University, East Bay; Andrew Stanciulescu, California State University, East Bay

Tagged Divisions

Computers in Education

utilizingseveral validated questionnaire instruments. The total number of questions for the instrumentwas 20, 8 for self-efficacy, 3 for task attraction, 4 for perceived usefulness, 3 for user-experience,and 2 for effort regulation. The instrument was administered at the end of the differenttreatments. In addition to the following questions, the research team asked the participants fordemographic information such as age, grade point average, gender, and current year of study. The questions that measured the students’ self-efficacy, perceived usefulness, and effortregulation were based on the instrument developed by Boekaerts ​[26]​ titled the OnLineMotivation Questionnaires. These instruments included questions such as: “​How do you feel justafter

Conference Session

Mental Health of Graduate Students

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Sarah Jane Bork, University of Michigan; Joi-lynn Mondisa, University of Michigan

Tagged Topics

Diversity

Tagged Divisions

Graduate Studies

literature points to aspects of the student’s social environment, such as feelings ofconnectedness, a sense of belonging, social self-efficacy, and social support, influencingstudents’ reported mental health measures in addition to lasting academic impacts. It is stillunclear, however, to the extent which of these concepts are present in current surveys used toassess graduate student mental health. The research question guiding this study is, Whatunderlying factors are important when looking at the mental health of science, engineering, andmathematics graduate students?This study will look specifically at the Healthy Minds Study (HMS), conducted by the HealthyMinds Network (HMN): Research on Adolescent and Young Adult Mental Health group, to tryand

Conference Session

NSF Grantees: S-STEM 3

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Robin A.M. Hensel, West Virginia University; Joseph Dygert, West Virginia University; Melissa Lynn Morris, University of Nevada - Las Vegas

Tagged Topics

Diversity, NSF Grantees Poster Session

surveys provide a quantitative measure of students’ GRIT, general self-efficacy,engineering self-efficacy, test anxiety, math outcome efficacy, intrinsic value of learning,inclusion, career expectations, and coping efficacy. Qualitative data from the focus group andindividual interview responses are used to provide insight into the quantitative survey results.Surprisingly, a previous analysis of the 2017 cohort survey responses revealed that students wholeft engineering had higher baseline values of GRIT, career expectations, engineering self-efficacy, and math outcome efficacy than those students who retained. Hence, the 2018 cohortsurvey responses were analyzed in relation to retention and are presented along with qualitativeresults to provide

Conference Session

Data-informed Approaches to Understanding Student Experiences and Outcomes

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Harrison Douglas Lawson, Michigan State University; Amalia Krystal Lira, Michigan State University ; Alexandra A. Lee, Michigan State University; Minhye Lee, Daegu National University of Education; Lisa Linnenbrink-Garcia, Michigan State University; S. Patrick Walton, Michigan State University; Daina Briedis, Michigan State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

(7.5%), Latinx (4.8%), Asian (20.9%), Multiracial (2.2%), Alaska Native (0.2%), andNative Hawaiian or Other-Pacific Islander (0.1%). The surveyed students included both studentsenrolled in engineering majors and students who, at one point, were engineering majors but wereno longer enrolled in engineering.Measures: Academic Self-efficacy. Five questions measured engineering self-efficacy [19]. Theresponses were recorded using a 5-point Likert-type scale. These measures were collectedannually over four years (T1 ⍺ = .87, T2 ⍺ = .90, T3 ⍺ =.91, and T4 ⍺ =.90). A sample item forengineering self-efficacy is “I’m certain I can master the content in the engineering-relatedcourses I am taking this semester.” Prior Achievement. Prior

Conference Session

Materials Division Technical Session 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Nicole Johnson-Glauch, California Polytechnic State University; Lauren Anne Cooper, California Polytechnic State University, San Luis Obispo; Trevor Scott Harding, California Polytechnic State University, San Luis Obispo

Tagged Topics

Diversity

Tagged Divisions

Materials

methods.Quantitative methods consisted of pre- and post- course surveys to measure changes in students’levels of self-efficacy beliefs. Self-efficacy was measured with a 17-item validated instrumentcommonly used to measure general self-efficacy [22]. We used the Shapiro-Wilks test to verifythe normality of the data before conducting a paired t-test to determine the effect of the actionplan assignment on students’ self-efficacy. We used a p value of 0.05 as our basis for statisticalsignificance for both tests. In our survey, we also included six demographics questions such asethnicity, gender, socio-economic status, transfer student status, and employment status.Qualitative methods consisted of a content analysis of the students’ finalized “Action Plan

Conference Session

Mathematics Division Technical Session 4: Assessing Success in Mathematics Education

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Rebecca Ann George, University of Houston; Weihua Fan, University of Houston; Daijiazi Tang, University of Houston

Tagged Topics

Diversity

Tagged Divisions

Mathematics

during which the surveys were administered.MeasuresThe survey consists of (a) section of demographic information and (b) section of questions onself-beliefs in success (academic self-efficacy and subjective values), academic engagement(efforts and persistence), learning climate, and achievement emotions (enjoyment, anxiety,hopeless, shame, and anger before, during, and after class). In (a) section, the demographicitems measure students’ gender (male= 0, female =1), age, race, major, academic year, andself-reported GPA. The (b) section includes 98 Likert-scaled items from 1 (strongly disagree)to 5 (strongly agree) and from 1 (not at all true of me) to 7 (very true of me). All Likert-scaled items were adapted from existing research [9]. Some

Conference Session

Computers in Education Division Technical Session 1: Topics Related to Engineering - Part 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Joseph A. Lyon, Purdue University, West Lafayette; Aparajita Jaiswal, Purdue University, West Lafayette; Alejandra J. Magana, Purdue University, West Lafayette

Tagged Divisions

Computers in Education

-survey measurements tounderstand how self-efficacy changed in terms of students modeling and simulation skills.Likewise, post-survey data was collected to understand how students experienced the MATLABLive environment. This has led the research to two research questions: (1) How did suchtechnology-supported scaffolded (MATLAB Live) modeling activity experiences impact studentself-efficacy regarding programming and computational modeling? (2) Based on student comfortlevel with programming (self-efficacy), how did students vary in their reported experiences ofMATLAB Live?BackgroundThe use of modeling is not new to engineering education, having been studied extensively withall levels and disciplines of engineering [3], [9], [10]. For this study

Conference Session

Student Motivation, Identity, and Resilience

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Saira Anwar, Purdue University, West Lafayette; Muhsin Menekse, Purdue University, West Lafayette; Ahmed Ashraf Butt, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

constructs on 120 first-year engineeringstudents' academic performance in a required engineering course while accounting for their priorsuccess. The motivational constructs include students' self-reported achievement goals (masterygoals, performance goals, and mastery avoidance), self-efficacy beliefs, and task value. Wecollected the data by administering surveys at the beginning of the course. We used AGQ-R forachievement goals and subscales of the MSLQ survey for students' course-related beliefs aboutself-efficacy and task value. Also, SAT scores and prior GPA determined students' prior success.We used students' scores in three exams as a measure of their academic performance in thecourse. We used stepwise hierarchical regression to identify the

Conference Session

Active and Cooperative Learning in ECE

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Safeer M. Khan P.E., Arkansas Tech University; Mohamed Ibrahim, Arkansas Tech University

Tagged Divisions

Electrical and Computer

, therefore, needs to includehands-on PBL activities for students that provide solid grounding in engineering fundamentals.Going through the curriculum, students also gain experience of working collaboratively as ateam to undertake and solve complex engineering problems.To measure the effectiveness of engineering modeling and design curriculum, it is important todetermine the self-efficacy of students. The aim is to enable students to go through hands-onPBL activities during the curriculum to develop self-belief and optimism in their competence toaccomplish tasks and produce expected results. In an earlier work on this subject, authors haveproposed an instrument to measure student's perception of self-efficacy in engineering modelingand design

Conference Session

Minorities in Engineering Division Technical Session 3

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Lisa Y. Flores, University of Missouri; Rachel L. Navarro, University of North Dakota; Heather Hunt, University of Missouri; Hang-Shim Lee, Konkuk University ; Patton O. Garriott, University of Denver

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering

, and White men and women engineering majors enrolled at 11 partnerinstitutions (6 HSIs and 5 PWIs). All Latinx and White engineering majors enrolled at thepartner institutions in the 2014-2015 academic year were invited to participate in an onlinesurvey, which included measures (see Table 1 for a list of all measures with citations, totalnumber of items, and internal consistency reliabilities) to assess demographic data, engineeringlearning experiences, engineering perceived supports, engineering perceived barriers,engineering self-efficacy, engineering positive outcome expectations, engineering negativeoutcome expectations, engineering interests, engineering academic satisfaction, engineeringacademic engagement, engineering persistence

Conference Session

Student Motivation, Identity, and Resilience

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Wonki Lee, Purdue University, West Lafayette; Jeffrey F. Rhoads, Purdue University, West Lafayette; Edward J. Berger, Purdue University, West Lafayette; Jennifer Deboer, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

their learning [1], [2]. TheMSLQ is one of the most extensively used scales designed to assess self-regulated learning [3].Pintrich and colleagues developed the MSLQ [2] to measure three components (motivation,metacognition, and behavior) of self-regulated learning [2]. It has been widely validated anddeployed in university engineering education settings. The MSLQ has two parts: Motivation and Learning Strategies. Motivation scales arecomposed of three dimensions (value, expectancy, and affective) with 31 items subdivided intosix subscales: intrinsic goal orientation, extrinsic goal motivation, task value, control beliefs,self-efficacy for learning and performance, and test anxiety. The learning strategies scalemeasures two dimensions

Conference Session

Pre-college Engineering Education Division Technical Session 8

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Kayla R. Maxey, Purdue University, West Lafayette; Morgan M. Hynes, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

Society for Engineering Education, 2020 Connecting Middle School Students’ Personal Interests, Self-efficacy, andPerceptions of Engineering to Develop a Desire to Pursue Engineering Career Pathways (Work in Progress)AbstractWith the increased exposure to science, technology, engineering, and mathematics (STEM)through activities in-school and out-of-school K-12 learning environments and representation inmedia outlets, students who attend our summer engineering intervention tend to articulate a moreholistic understanding of the role of engineers within society. However, despite this increasedexposure and a diverse understanding, students from diverse backgrounds (e.g.,racially/ethnically diverse and women) still pursue

Conference Session

NSF Grantees: Entrepreneurship

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Magdalini Z. Lagoudas, Texas A&M University; So Yoon Yoon, University of Cincinnati; Rodney Boehm, Texas A&M University; Samantha Asbell, Texas A&M University

Tagged Topics

Diversity, NSF Grantees Poster Session

college. This study presented assessment data from a NSFI-Corps site program at a Southwestern university to understand the impact of the program onundergraduate and graduate engineering students’ knowledge, perceptions, and practice ofentrepreneurship. In the four-cohort assessment data, participants indicated significantlyincreased confidence in value proposition, self-efficacy in entrepreneurship, and customerdiscovery, while maintaining high interest in entrepreneurship. Furthermore, the data indicatedthat participants with a GO decision (to continue pursuing their technology) had significantlyhigher perception on the current status of technology and business model than did participantswith a no-GO/unsure decision. In addition, this study

Conference Session

STEM Issues in ET

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Lei Xie, Texas State University; Malini Natarajarathinam, Texas A&M University; Bugrahan Yalvac, Texas A&M University

Tagged Topics

Diversity

Tagged Divisions

Engineering Technology

engineering technology for elementary students Abstract Mentoring is being prevalently used in higher education. Traditionally, these programsare unidirectional that includes forward knowledge transfer. The internal mechanism of howto form an effective mentoring relationship between mentors and mentees is unclear. This pilotstudy focused on Person-Environment (P-E) fit perspective and zeroed in on how the mentor-mentee relationship affect mentees’ self-efficacy. We conducted semi-structured interviews withthree mentees to explore how P-E fit affected their self-efficacy. This qualitative study is a pilotstudy, future data collection and analysis will continue

Conference Session

Perceptions, Reflections, Collaborations, and Student Support in Chemical Engineering

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Bradley Cicciarelli, Louisiana Tech University; Eric A. Sherer, Louisiana Tech University; Baker A. Martin, Clemson University; Marisa K. Orr, Clemson University

Tagged Divisions

Chemical Engineering

. Thequalitative similarity between Figure 5c and Figure 3 is logical since the reported number ofpotential study partners is a single-item measure of social integration. The administration ofsurveys in Spring 2020 will help determine whether these rating increases experienced bycampers are sustained throughout the sophomore year. The data in Figures 2-4 suggest that thereis some lasting effect. Figure 5. Average student survey ratings of (a) chemical engineering self-efficacy, (b) coping self-efficacy, and (c)social integration and academic integration. Error bars indicate the 95% confidence interval.Future Work We will continue to collect student data using the improved surveys with responsestracked to individual students. Once the data set is

Conference Session

Engineering Design Graphics Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Hannah Dawes Budinoff, Pima Community College

Tagged Topics

Diversity

Tagged Divisions

Engineering Design Graphics

givenapproximately three assignments throughout the semester that required them to sketchorthographic projections and isometric views of objects. These assignments were designed tohelp improve spatial visualization ability. However, the class was generally focused on 3Dmodeling skills and SolidWorks operation, and not on spatial visualization ability.A survey was also administered to assess self-efficacy and to ask the students about how helpfulthey found the different learning activities in the course. We measured self-efficacy regarding 3Dgraphics topics using the three-dimensional modeling self-efficacy scale described by Densenand Kelly [21]. We will refer to this scale as the 3DM-SES in this paper. Agreement on eachitem of the nine items of this survey

Conference Session

2-Year College Division: Workforce Pathways and ATE

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Megan Morin, University of North Carolina - Chapel Hill; Alireza Dayerizadeh, North Carolina State University

Tagged Divisions

Two-Year College

Engineering Department’s Merit Fellowship (2016) and the NSF Graduate Research Fellowship (2018). His current research interests include electric vehicle fast chargers and wireless power transfer. c American Society for Engineering Education, 2020 Filling the Technical Gap: The integration of technical modules in a REU Program for 2+2 Engineering StudentsAbstractDue to the abstract nature of the field, electrical engineering students can benefit significantlyfrom active learning to increase understanding and self-efficacy in the field. In some cases,students may lack of confidence in their abilities, which can lead them to avoiding

Conference Session

Pre-college Engineering Education Division Technical Session 16

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Jacqueline A. Zeiber, New Mexico State University; Tamara Elise Stimatze, New Mexico State University; Patricia A. Sullivan, New Mexico State University; Steven J. Stochaj, New Mexico State University

Tagged Divisions

Pre-College Engineering Education

evaluation measures were altered every1 The challenge of increasing diversity in STEM has been with us for more than two decades. Despite effort andtime, little has been achieved in changing the representation in STEM. The paradigm that exposure to STEMgenerates STEM degrees and drives the STEM workforce does not appear to work. Exposure to STEM is necessary,but it is not sufficient to diversify the STEM workforce. The PREP program focuses on activities that will increaseSTEM self-efficacy, STEM career awareness, and grit. This was accomplished by including activities led byyear. The modality of collecting data also changed throughout the years (paper and pencil,SurveyMonkey, Google Forms, and REDCap7,8) As such, it should be noted the remainder

Conference Session

First-Year Programs: Assessment in the First Year

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Jamie R. Gurganus, University of Maryland, Baltimore County; Shannon M. Clancy, University of Michigan; Richard Olaf Blorstad, DeMatha Catholic High School; Ryan Reinhardt; Charles D. Eggleton, University of Maryland, Baltimore County; L. D. Timmie Topoleski, University of Maryland, Baltimore County

Tagged Divisions

First-Year Programs

in 1993to evaluate the efforts to improve engineering education at the University of Pittsburgh. “ThePFEAS was constructed to measure many of Seymour and Hewitt’s primary reasons studentsleave engineering. The PFEAS attitudinal subscales were administered to assess students’attitudes about engineering” [17]). Seven factors identified by the original authors werepostulated to underlie the attitudinal items: general impressions, financial influences,contributions to society, perceptions of work, enjoyment of math and science, engineering asexact science, and family influences. The LAESE (longitudinal assessment of engineering self-efficacy) instrument was usedto measure the self-efficacy of women studying engineering, including feelings

Conference Session

Mechanical Engineering Technical Session: Outreach and Retention

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Liang Zhu, University of Maryland, Baltimore County; Jamie R. Gurganus, University of Maryland, Baltimore County; Charles D. Eggleton, University of Maryland, Baltimore County; Ronghui Ma, University of Maryland, Baltimore County; Timmie Topoleski, University of Maryland, Baltimore County; Deepa Madan, University of Maryland, Baltimore County

Tagged Topics

Diversity

Tagged Divisions

Mechanical Engineering

In partnership with the psychology department in our institution, a survey was developedand it contained measurable items regarding their attitudes, perspectives, science/engineeringidentity, and research self-efficacy. The first section of the survey consisted of 10 questionsfocusing on students’ demographic information. The second section contained Likert scaleditems to include “Research Self-Efficacy” (9 questions), “Science/Engineering Identity” (5questions), “Expectations and Goals” (4 questions), “Academic Integration” (5 questions), and“Senses of Belonging to Program and Campus (8 questions)”. The following describesdevelopment of the questions in each category. Research Self-Efficacy: It is measured by items from the

Conference Session

NSF Grantees: RED 2 / Civil Eng

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Madeline Polmear, University of Florida; Denise Rutledge Simmons P.E., University of Florida; Nicholas Anthony Clegorne

Tagged Topics

NSF Grantees Poster Session

data analysis and synthesisprocess and to solicit input from the engineering education community on the initialconceptualization.Figure 2: Preliminary grounded theory modelNext Steps and Future DirectionsThe findings from the student interviews and preliminary model are being used to inform thedevelopment of an instrument. The instrument will include measures related to power, sharedprocess of leadership, transformational leadership skills, self-efficacy, and motivation to expandour understanding of how undergraduate engineering students perceive and engage in leadershipbased on constructs that were salient in the qualitative phase.AcknowledgmentsThe authors gratefully acknowledge the National Science Foundation for supporting this workunder