Conference Session

Women in Engineering Division Technical Session 3

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Amrita Dhakal Ghimire, Mississippi State University; Litany H Lineberry, Mississippi State University; Sarah B. Lee, Mississippi State University

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

programmingincreased from 5.5% to 7.0 % in spring 2019, and that measure decreased from 7.1% to 3.6% infall 2019. Males who indicated they are good in computer programming in comparison to theirpeers increased from 16.7% to 29.6% in spring 2019. Similar patterns can be seen in fall 2019 pre-to post- results where self-efficacy grew from 29.8% to 42.9% for male students, but remained flatfor females.Figure 3. Perceptions of Male vs Female between pre-post survey in Spring 2019 and fall 2019 (Column labels are in percentage).With the post-survey results across semesters presented in Figure 4, gaps between positiveperceptions of programming ability among males versus females is evident. The perception ofmale students reporting to be better at computer

Conference Session

Cooperative and Experiential Education Division Technical Session 3 - Co-op Recruitment and Factors Affecting Success

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Amy Huynh, University of California, Irvine; Helen L. Chen, Stanford University; Krishnaswamy Venkatesh Prasad, Ford Motor Company; Sheri Sheppard, Stanford University

Tagged Topics

Diversity

Tagged Divisions

Cooperative and Experiential Education

Paper ID #29854Exploring how innovation self-efficacy measures relate to engineeringinternship motivations and outcomesAmy Huynh, University of California, Irvine Amy Huynh is a mechanical and aerospace engineering undergraduate student at the University of Cal- ifornia, Irvine. She is interested in better understanding and supporting the experiences of female and underrepresented engineers in the classroom and in industry. She is a Brooke Owens Fellow and has interned at NASA Goddard, Made In Space, and NASA Ames.Dr. Helen L. Chen, Stanford University Helen L. Chen is a research scientist in the Designing Education Lab

Conference Session

First-Year Programs: Metacognition, Self-Efficacy, and Motivation #2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Megan Gray, Duke University; Ann Saterbak, Duke University; Sophia T. Santillan, Duke University; Michael Rizk, Duke University; Jessica Sperling, Duke University

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

engineering design process to meet the needs of aclient; 2) iteratively prototype a solution; 3) work collaboratively on a team; and 4) communicatethe critical steps in the design process in written, oral, and visual formats. Students work on oneproject team for the entire semester, with the focus of delivering a built and tested solution to theclient. To better understand the effects of this course, we used a quantitative evaluation process.The survey addresses how the course contributes to students’ self-efficacy and commitment infour areas: professional development, professional skills, engineering/academics, and creativity.Using a repeated-measures design, all students taking the course in fall 2018 were invited toparticipate in a survey

Collection

2020 ASEE North Central Section conference

Authors

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

Tagged Topics

Diversity

, teaching student success skills, and providingprofessional development.AcES students participate in the GRIT, LAESE, and MSLQ surveys at the start and end of eachfall semester and at the end of the spring semester each year. Focus group data is collected at thebeginning, middle and end of each semester and one-on-one interviews occur at the start and endof each semester. The surveys provide a measure of students’ GRIT, defined as perseverance forlong term goals, as well as, general self-efficacy, engineering self-efficacy, test anxiety, mathoutcome efficacy, intrinsic value of learning, inclusion, career expectations, and coping efficacy.A previous study, based on an analysis of the 2017 AcES cohort survey responses, produced asurprising result

Conference Session

Mathematics Division Technical Session 3: Diversity in Mathematics Education

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

John Kerrigan, Rutgers University; Lydia Prendergast, Rutgers University; Jillian A.S. Mellen, Rutgers University; Geraldine L. Cochran; Antonio D. Silva

Tagged Topics

Diversity

Tagged Divisions

Mathematics

engineering, which can tip the scales in the students’ decision orability to stay in engineering [1]. Gateway courses to advanced study in engineering, such asCalculus II, have been historically perceived by students to be the most difficult [2]. Anecdotalreasons for this could include the complexity of the calculus curriculum, the amount ofbackground knowledge needed to keep pace with learning, and lack of time for conceptexploration and engagement during class. Studies have shown that self-efficacy is morepredictive of mathematics performance than prior mathematics experiences and measures ofmathematics anxiety [3], [4].Self-efficacy can be defined as an individual's belief in their innate ability to achieve goals, andis based on both skill mastery

Conference Session

Biomedical Engineers and Professional Development - June 23rd

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

William H. Guilford, University of Virginia

Tagged Topics

Diversity

Tagged Divisions

Biomedical Engineering

be a better mediator of affect – how one feels about a task – while thelatter is a better mediator of academic achievement [4]. Further, self-concept may positivelyinfluence self-efficacy.We hypothesized that BME students’ self-concepts and feelings of self-efficacy might relate totheir unusual career goals (relatively speaking, among engineering fields). We therefore soughtto explore BME students’ career self-concept as engineers and as clinicians, and the relationshipof those self-concepts to engineering design self-efficacy [5]. Both constructs are measured viainstruments that rely on self-declarations – also known as explicit measures. Self-declarations, orexplicit measures, of self-concept carry with them the concern of unreliability

Conference Session

Relationships Between Skills and Knowledge Domains

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Zhen Zhao, Arizona State University; Samantha Ruth Brunhaver, Arizona State University

Tagged Topics

Diversity

Tagged Divisions

Liberal Education/Engineering & Society

interpersonalskills are less likely to pursue a career in engineering (vs. in a non-engineering field) thanstudents with lower self-confidence in these skills [6, 10]. However, only one of the abovestudies [9] investigated the connection between engineering undergraduates' self-efficacy in theircommunication skills and their perceived importance of these skills directly, despite a suggestionfrom Riemer [4] that they might be related. Further, none of the above studies developedinstantiated items with which to measure communication skills. They instead relied on genericterms such as verbal communication skills, written communication skills, or presentation skills,suggesting that engineering students may not have a true understanding of what is involved ineach

Conference Session

Degree Pathways and Cocurricular Experiences

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Baker A. Martin, Clemson University; Marisa K. Orr, Clemson University; Rachel McCord Ellestad, University of Tennessee at Knoxville

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

Tech. Her research interests include the impact of metacognitive and self-regulated learning development on engineering student success, particularly in the first year. c American Society for Engineering Education, 2020 Impact of Self-Efficacy and Outcome Expectations on First-Year Engineering Students’ Major SelectionAbstractDeciding on a major is one of the critical decisions first-year students make in theirundergraduate study. Framed in Social Cognitive Career Theory, this work investigatesdifferences between measures of self-efficacy and outcome expectations by students intending topursue different engineering majors. Our results show that tinkering self-efficacy

Conference Session

Design Teams 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Amy Trauth, University of Delaware; Marcia Gail Headley, University of Delaware; Sara Grajeda, University of Delaware; Dustyn Roberts P.E., University of Pennsylvania; Jenni Buckley, University of Delaware

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education

Paper ID #29944Individual Design Experiences Improve Students’ Self-Efficacy onTeam-Based Engineering Design ProjectsDr. Amy Trauth, University of Delaware Amy Trauth, Ph.D., is the Senior Associate Director of Science Education at the University of Delaware’s Professional Development Center for Educators. In her role, Amy works collaboratively with K-12 sci- ence and engineering teachers to develop and implement standards-based curricula and assessments. She also provides mentoring and coaching and co-teaching support to K-12 teachers across the entire tra- jectory of the profession. Her research focuses on teacher

Conference Session

Faculty Development Research

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Kent A. Crick, Iowa State University; Elise A. Frickey, Iowa State University; Lisa M. Larson Ph.D., Iowa State University of Science and Technology; Mack Shelley, Iowa State University of Science and Technology

Tagged Topics

Diversity

Tagged Divisions

Faculty Development Division

Paper ID #29438The Role of Teaching Self-Efficacy in Electrical and ComputerEngineering Faculty Teaching SatisfactionMr. Kent A. Crick, Iowa State University Kent Crick is currently in his third year as a graduate student at Iowa State University. He is currently a PhD candidate in Counseling Psychology and conducts research in self-determination as it relates to student and faculty motivation and well-being. Prior to attending Iowa State, he obtained a Master’s Degree in Clinical Psychology from the University of Indianapolis. He then worked as a research coordi- nator for the Diabetes and Translational Research Center

Collection

2020 ASEE North Central Section conference

Authors

Matthew Cavalli, Western Michigan University; Anetra Grice, Western Michigan University

Tagged Topics

Diversity

random drawing for one of three $35 gift cards to the University bookstore.In addition to the any relationships between students’ time allocations and their retention andacademic performance, we also hoped to gain insights into initial values and changes in the self-efficacy beliefs of ENGR 2100 students over the course of the semester (as measured by theCollege Self-Efficacy Inventory) in relation their academic outcomes [10,11]. Solberg et al.found that self-efficacy can play a significant role in student success, particularly for Hispanicstudents (and possibly other minority groups). This data could contribute to an early warningmethod of identifying students in most need of targeted intervention. The questions from theCollege Self-Efficacy

Conference Session

First-Year Programs: Metacognition, Self-Efficacy, and Motivation #1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Jill Davishahl, Western Washington University; Sura Alqudah, Western Washington University

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

in which to integrate newcontent in an effective manner. The total class time required for all three interventions ranges from 1-2 hourswhich equates, on the higher end, to one class session per quarter. The researchers and instructors of the courseagreed that the number of interventions and required time is reasonable without interfering with the core classmaterial. These interventions are hypothesized to improve engineering students’ sense of belonging and self-efficacy in their majors [14, 15].After considering course assignments and scheduling, the researchers chose a selection of ENGR 104 coursesin which to embed the interventions: Fall 17, Spring 18, and Fall 19. Each course was taught by a differentinstructor however, the content of

Conference Session

First-Year Programs: Metacognition, Self-Efficacy, and Motivation #2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

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

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

MSLQ X X X X X X X XThe GRIT survey was developed by Angela Duckworth and consists of 12 Likert Scale questions[2]. Grit, defined as “perseverance and passion for long term goals”, was recognized as a trait byDuckworth [3].The LAESE survey was developed at Penn State University with support from the NationalScience Foundation. The LAESE was designed to measure the self-efficacy of undergraduateengineering students by using 31 Likert scale questions. Self-Efficacy aspects of studentsmeasured by the survey include outcomes expected from studying engineering, the process ofselecting a major, expectations about workload, coping strategies in challenging situations, careerexploration, and the

Conference Session

Student Perceptions of Self-efficacy, Success, and Identity

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Hindolo Michael Kamanda, University of Georgia; Davis George Anderson Wilson, University of Georgia; Joachim Walther, University of Georgia; Nicola W. Sochacka, University of Georgia; Stephen Secules, Florida International University; James L. Huff, Harding University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

students,Bottesi, et al. [25] found that anxiety and intolerance of uncertainty can lead to negative beliefsand outcomes expectations that can affect student performance [see also: 26]. A study ofengineering students [20] found that low stress levels and positive outcome expectationsincreased students’ self-efficacy, a factor that, in turn, significantly predicted academicachievement. Related studies identified stress as a key predictor for low student engagement andpersistence [27] as even students with high ability in science often leave STEM majors due tosignificant accompanying pressure and accompanying physical and psychological distress [28,29].Minority students can be disproportionately impacted by such emotional experiences due to

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

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

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

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

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

ENT Division Technical Session: Creativity and Innovation

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Sunni Haag Newton, Georgia Institute of Technology; Roxanne A. Moore, Georgia Institute of Technology; Meltem Alemdar, Georgia Institute of Technology; Timothy Cone, Center for Education Integrating Science, Mathematics and Computing

Tagged Topics

Diversity

Tagged Divisions

Entrepreneurship & Engineering Innovation

associated with a variety of student outcomes. Additionally, modified versionsof previously validated instruments were used to measure teachers’ motivation for participatingin the K12 InVenture Prize program [15] and teachers’ self-efficacy for teaching engineering andentrepreneurship [16]. Participants A total of six teachers from our focal region began the survey. Of these, two discontinuedthe survey during the demographics and teaching background sections; a total of fourrespondents completed the survey. All four teachers who completed the survey are women, andall four teachers are White. For all four teachers, the 2018-2019 school year was their first yearimplementing the K12 InVenture Prize program. Two teachers implemented in a

Conference Session

Evidence-based Practices in Faculty Development

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Sarah Ilkhanipour Rooney, University of Delaware; Joshua A. Enszer, University of Delaware; Julia A. Maresca, University of Delaware; S. Ismat Shah, University of Delaware; Sheldon Allister Hewlett, University of Delaware; Jenni M. Buckley, University of Delaware

Tagged Topics

Diversity

Tagged Divisions

Faculty Development Division

no effect on faculty members’ self-efficacy related toculturally responsive classroom management (CRCMSE) and engineering pedagogy (TESS).Faculty reported moderately high self-confidence on all CRCMSE measures (range: 2.06-2.50 on0-3 pt Likert), and there were no statistically significant gains in these measures from pre- topost-workshop. Similarly, faculty also had moderately high self-confidence on TESS measures(range: 3.33-4.72 on 0-5 pt Likert); and pre- vs. post-workshop gains were reported for two of 15survey items. Specifically, faculty reported gains in confidence related to their ability to guidestudents in the engineering design process or scientific method (d=1.15, p=0.009, n=18) and self-confidence in encouraging critical