Conference Session

Women in Engineering Division Technical Session 6

Collection

2018 ASEE Annual Conference & Exposition

Authors

Laura K Alford, University of Michigan; Valeria Bertacco, University of Michigan

Tagged Divisions

Women in Engineering

example, student agreement/disagreement with “I believe that other students in computerprogramming courses will be welcoming of me” could have a disproportionately large effect onthe number of women deciding to major in computer science/computer engineering.After improving the survey process based on recommendations from the initial study, weembarked on a 5 year program to gather data and assess the gender differences in two sequentiallarge programming courses. Our overarching research question is: Do women and men show astatistically significant difference in their perceptions of their abilities and learning environmentas measured by self-efficacy, intimidation by programming, and feelings of inclusion?This paper will present the first set of

Conference Session

Projects,Teams & Cooperative Learning

Collection

2004 Annual Conference

Authors

Janet Schmidt

collective efficacy beliefs linked to student team functioning and administered it to 188students enrolled either in a freshman engineering design course or a senior-level electricalengineering course9. We found that collective efficacy beliefs were strongly related to indices ofteam cohesion and satisfaction with team functioning. They were also related to students’ senseof self-efficacy, interests, and social support relative to remaining in engineering. Seniorsreported significantly stronger collective efficacy than did freshmen, suggesting that, withincreasing team experience, students gain confidence in their ability to manage project teaminteractions.Our first study, aimed mainly at measure development and validation, examined

Conference Session

Knowing Our Students I

Collection

2006 Annual Conference & Exposition

Authors

Christina Vogt, National Academy of Engineering

Tagged Divisions

Women in Engineering

, and Waggoner26 conducted at a well-established Midwesternuniversity, the math test scores of females in both engineering and biological sciences wereexamined. Also, to determine if confidence differed by major, confidence scales wereadministered to the same females entering both programs. In essence, the females majoring inengineering had both higher math entrance scores and stronger measures of self-confidence thantheir female counterparts in biological sciences.However, when comparing women to men, several studies have found that women self-reporttheir academic confidence and engineering self-efficacy as lower than men's.2,4,5,28,29Accordingly, self-efficacy may be enhanced or diminished due to feedback from external factorssuch as society

Conference Session

Aerospace Division (AERO) Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

Scott Nguyen; Joshua Rovey, University of Illinois Urbana-Champaign; Heather Ruth Arnett, University of Illinois Urbana-Champaign

Tagged Divisions

Aerospace Division (AERO)

cognitive load, freeing up mentalresources for other tasks and fostering more efficient cognitive processing (Thalmann,Souza, & Oberauer, 2019).BackgroundCourse StructureIn this study, we implemented a structured approach to assess student engagement andlearning outcomes in technical content. Beginning with an initial evaluation of student self-efficacy and interest through surveys, we then administered a pre-course quiz to gaugebaseline understanding. Following this, students engaged with the technical material, afterwhich a mid-course quiz was conducted to evaluate learning progress. Finally, we reassessedstudent self-efficacy and interest after completion of all technical quizzes. This methodologyprovided valuable insights into the

Conference Session

Pre-College Engineering Education Technical Session 7: Cybersecurity and Computing

Collection

2022 ASEE Annual Conference & Exposition

Authors

Anni Reinking; Monica McGill, CSEdResearch.org

Table 2: Self-efficacy measures (pre and post Academy).5.4.2 Academic ImpactsAs a 3-hour course, we used grades as evidence of the cadets’ mastery of content. Since one of thehost sites used a pass/fail model, we converted the grades from other host sites to match. A lettergrade of D or above was considered passing, which is standard for college level courses. Eighty-five (94%) of the 91 cadets who completed all 6 weeks of the course, passed the course.We also asked whether the cadets plan on taking the ITF+ certification test after the Academyended. Of the 85 cadets who passed, all indicated that they intend to take the certification testin late summer or early fall. The cadets had until December 2021 to use their voucher to takethe exam. We

Conference Session

NSF Grantees Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Corey Payne, University of Florida; Kent J. Crippen, University of Florida; Lorelie Imperial; Chang-Yu Wu, University of Florida; Philip J. Brucat, University of Florida; Maria Korolev, University of Florida

Tagged Topics

NSF Grantees Poster Session

organize and execute the courses ofaction required to produce given attainments” [6](p. 3), is a critical form of motivation and basisfor evaluating persistence. It is one of the strongest predictors for undergraduate studentachievement [7],[8] and a lack of self-efficacy has been shown to foreshadow a change of majorsand leaving engineering for underrepresented students [9],[10]. For engineering students, self-efficacy predicts interest, achievement and persistence in the major [11],[12],[13]. Self-efficacyis most likely to drop during the first two years a student spends at a university [14].This paper reports on a field study of student self-efficacy and persistence across a semester forthree groups taking general chemistry laboratory for

Conference Session

NSF Grantees Poster Session

Collection

2011 ASEE Annual Conference & Exposition

Authors

Gwen Lee-Thomas, Ph.D., Old Dominion University; Autar Kaw, University of South Florida; Ali Yalcin, University of South Florida

Tagged Topics

NSF Grantees

betweenCalculus #3 and the SLE Score (-0.436) with a significant ANOVA of the regression modelindicating that these relationships did not occur by chance.Profile of the StudentsTo contextualize any findings that may be associated with success in the course, studentscompleted a learning patterns survey before beginning the two of the four semesters - spring2010 and summer 2010. In addition, during the spring and summer of 2010, students alsocompleted a self-efficacy survey to measure how well students believed they could learn varioussubject materials with or without help from others. Although providing a measure for students'preference for learning and self-efficacy may or may not have an influence or correlate with thegrades received in the course or

Conference Session

Women in Engineering Division (WIED) Technical Session 7

Collection

2023 ASEE Annual Conference & Exposition

Authors

Macarena Becerra-Cid; Monica Quezada-Espinoza, Universidad Andres Bello, Santiago, Chile; Maria Elena Truyol, Universidad Andres Bello, Santiago, Chile

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering Division (WIED)

29 8.8 Total 328 100.0B. SurveyThe measurement instrument was built out of other investigations having a similar purpose tothat of this work [6, 22-26]. This version of the instrument included more statements thatenabled further probing on student sense of belonging, in its various aspects, such as social,academic and general interactions within the institution; given that the other investigationsplaced their emphasis on items more related to other factors, such as self-efficacy, identity,attitudes, behavior, among others, and secondly, with fewer probing on items relating to asense of belonging. During the survey validation process, a Cronbach's Alpha of 0.878 wasattained

Conference Session

ASEE TUESDAY PLENARY FEATURING BEST PAPERS & INDUSTRY DAY SPEAKER Sponsored by University of South Florida & University of Maryland

Collection

2019 ASEE Annual Conference & Exposition

Authors

Abisola Coretta Kusimo, Stanford University ; Marissa Elena Thompson, Stanford University ; Sara A. Atwood, Elizabethtown College; Sheri Sheppard, Stanford University

Tagged Topics

ASEE Board of Directors, Corporate Member Council

industry experiences includes engineering positions at Detroit’s ”Big Three:” Ford Motor Company, General Motors Corporation, and Chrysler Corporation. At Stanford she has served a chair of the faculty senate, and recently served as Associate Vice Provost for Graduate Education. c American Society for Engineering Education, 2018 Effects of Research and Internship Experiences on Engineering Task Self- Efficacy on Engineering Students Through an Intersectional LensAbstractHigh-impact academic experiences, particularly research and internship experiences, havepositive impacts for engineering students on engineering task self-efficacy (ETSE), a measure ofstudents’ perception of their ability to perform

Conference Session

Diversity, Recruiting, and Retention in ET

Collection

2006 Annual Conference & Exposition

Authors

Aram Agajanian, DeVry University-Chicago; George Morgan, Colorado State University; William M. Timpson, Colorado State University

Tagged Divisions

Engineering Technology

takendirectly from the General Self-Efficacy Scale (GSE) developed by Jerusalem and Schwarzer18.The researcher adapted five questions for self-confidence from the Women in EngineeringPrograms and Advocates Network (WEPAN) Student Experience Survey19. Table 2 shows themeasures and the survey questions related to each measure.Each measure was based on Likert scale and/or personal/demographic questions. The sevenlevels of the Likert scale were: 1 = Strongly Agree (SA), 2 = Disagree (D), 3 = Mildly disagree(MD), 4 = Neither agree nor disagree (N), 5 = Mildly agree (MA), 6 = Agree (A), and 7 =Strongly agree (SA).Table 2Measures and the Related Questions Measures Questions Self-Confidence

Conference Session

NSF Grantees Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Timothy Sawchuk, Georgia Institute of Technology; Ethan Hilton, Georgia Institute of Technology; Robert L. Nagel, James Madison University; Julie S. Linsey, Georgia Institute of Technology

Tagged Topics

NSF Grantees Poster Session

has on thedevelopment of design skills. In an effort to better understand the impact of involvement inacademic makerspaces, a longitudinal study on students at three different universities has beencarried out over the last four years. Data were collected from students through the use of surveysand collection of GPA and retention data. Students were tracked throughout their respectiveprograms to observe how changes in involvement correlated to changes in factors such as retentionand engineering design self-efficacy. This paper gives an overview of the entire study and presentsresults including trends in voluntary involvement in academic makerspaces over the course of eachprogram and how these trends correlate to other measured

Conference Session

Pre-College Engineering Education Division (PCEE) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Miracle Moonga, Montana State University - Bozeman; Rebekah J. Hammack, Montana State University - Bozeman; Ibrahim H. Yeter, Nanyang Technological University

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

thatthe M-EDSI is reliable for measuring students’ EDTE.DiscussionWhile previous research explores the topic of engineering teaching efficacy, the present studyoffers a novel perspective by specifically addressing Engineering Design Teaching Efficacy 5(EDTE). This is important because engineering design is a major part of the NGSS [3] and islinked to students’ enhanced learning [20]. The findings show that the intervention did not justsignificantly improve participants’ EDTE but also their EDE. Mastery experiences is a primarysource of self-efficacy development [21]. Therefore, PSTs’ improved EDE could be attributed totheir active engagement in

Conference Session

First-Year Programs Division Technical Session 7: Experiential Learning

Collection

2016 ASEE Annual Conference & Exposition

Authors

Alexandria Steiner, University of Michigan; Laura Hirshfield, University of Michigan; Cynthia J. Finelli, University of Michigan; Debbie Chachra, Franklin W. Olin College of Engineering

Tagged Divisions

First-Year Programs

confidence or self-efficacy.This study focuses on students enrolled in first-year project-based engineering courses at a largepublic university in the Midwestern United States. A mixed-methods approach was used for datacollection and analysis. Pre- and post-course surveys were administered to collect informationabout student demographics and personalities and to measure the students’ engineeringconfidence and self-efficacy. Students were also asked to record the amount of time they spenteach week on different tasks (e.g., project management, using CAD software, communication,and working on written reports) in an Activity Log. Post-course interviews were conducted toallow students to reflect about their team experiences during the semester.Our

Conference Session

NSF Grantees Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Rebekah J Hammack, Purdue University, West Lafayette; Julie Robinson, University of North Dakota; Tugba Boz, Indiana-Purdue University; Min Jung Lee, University of North Dakota; Ryan G. Summers; Ashley Iveland; Martha Inouye, University of Wyoming; Meghan Macias; Maria Zaman, University of North Dakota; John Galisky, University of California, Santa Barbara; Natalie Johansen, University of Wyoming

Tagged Topics

NSF Grantees Poster Session

Dakota Dr. Julie Robinson is an Assistant Professor at the University of North Dakota and the Director of UND’s Center for Engineering Education Research. Her research explores strategies for broadening access and participation in STEM, focusing on culturally relevant pedagogy in science and engineering. She also investigates strategies for increasing representation in STEM through teacher professional learning opportunities and by exploring the impact of group gender composition on girls’ motivation and engagement. Dr. Robinson is a PI and Co-PI on several NSF sponsored grant projects which focus on teacher professional learning and self-efficacy with implementing culturally relevant engineering education, connecting

Conference Session

The Nature of Innovation and Entrepreneurship Session 4

Collection

2014 ASEE Annual Conference & Exposition

Authors

Sarah E. Zappe, Pennsylvania State University, University Park

Tagged Divisions

Entrepreneurship & Engineering Innovation

faculty to publish educational research. Her research interests primarily involve creativity, innovation, and entrepreneurship. Page 24.337.1 c American Society for Engineering Education, 2014 Creative Go-Getters: Antecedents of Entrepreneurial Activities in Engineering UndergraduatesAbstract:The purpose of this study is to examine characteristics of incoming engineering students aspossible predictors of later participation in entrepreneurial activities. Four characteristics wereexamined: 1) locomotion, 2) self-evaluation, 3) creative self-efficacy and 4

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

NSF Grantees’ Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Fabien R Durand, Georgia Institute of Technology; Jin Woo Kim, Georgia Institute of Technology; Dorian Henao; Joanna Tsenn, Texas A&M University; Daniel A. McAdams, Texas A&M University; Julie S Linsey, Georgia Institute of Technology; Michael Helms, Georgia Institue of Technology

Tagged Topics

NSF Grantees Poster Session

-subjectsand between-groups data. Design self-efficacy, motivation, expectations of success, and theanxiety level of students were measured by Carberry et al.’s Design Self-Efficacy Instrument.Changes in design creativity study were measured using four standard metrics of designcreativity: quantity of ideas, quality, novelty, and variety of solutions generated by students. Theresults from this study have shown that the engineering program measured, increases self-efficacy, expectations of success, and design creativity of students, while decreasing anxiety.However, the motivation of students did not change.Secondly, a two semester study of a senior elective bio-inspired design course explored theeffects of teaching engineering students various bio

Conference Session

ERM: Engineering Identity: (Identity Part 1)

Collection

2022 ASEE Annual Conference & Exposition

Authors

Hannah Budinoff, The University of Arizona; Vignesh Subbian, The University of Arizona; Francesca Lopez

identity, and engineering self-efficacy. The measures were collected online using aQualtrics survey. Data were collected from the ABP intervention section and a control section.We used the three-item sense of belonging survey from Hurtado & Carter [21], with scoresranging from 0 to 10. We used an adapted version of the original survey, replacing the term“campus” with “engineering” to assess sense of belonging to the engineering community, whichhas shown excellent internal consistency (α = .97). For engineering self-efficacy, we used thesurvey from Mamaril et al. [22], which assesses general beliefs in engineering capabilities andcombines items from several prior self-efficacy surveys. We report the general engineering self-efficacy scale from

Conference Session

NSF Grantees Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Sarah Lynn Orton P.E., University of Missouri, Columbia; Fan Yu, University of Missouri, Columbia; Lisa Y. Flores, University of Missouri, Columbia

Tagged Topics

NSF Grantees Poster Session

students' engineering social cognitions (self-efficacy and outcomeexpectations), this paper investigates students' confidence in their ability to learn andtheir instructor's ability to teach across 6 engineering courses. A group of 6 facultyformed a learning community focused on improved teaching strategies for their classes.The faculty chose selected strategies and implemented them in their classes. Surveysasked students to rank their confidence level in "their ability to learn" the specific classmaterial and the instructor's "ability to teach" the class material using a sliding bar scalefrom 0-100. Surveys were conducted before and after the improvements to the teachingstrategies at both the beginning and end of the semesters. The results of the

Conference Session

Research to Practice: STRAND 5 Other Topics in K-12 Engineering Education.

Collection

2015 ASEE Annual Conference & Exposition

Authors

Rosemary L Edzie, University of Nebraska ; Brett Meyer, University of Nebraska-Lincoln College of Engineering

Tagged Divisions

K-12 & Pre-College Engineering

STEM degrees. Past researchers argued thatincreased levels of exposure to pre-collegiate math and science will lead to higher self-efficacy,which may then lead to an increased likelihood for enrollment in and persistence through acollegiate STEM degree program4-7.Middle school age students self-selected to participate in an engineering afterschool activity thatwas hosted by a midwestern university, in addition to participating in the activity, students wereassessed to determine the impact the activity had on the students’ (1) self-efficacies as it relatesto STEM and overall (2) perceptions of STEM. The students’ self-efficacies were measured bythe administering of the Motivated Student Learning Questionnaire and the STEM SemanticsSurvey

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

Disciplinary Engineering Education Research – Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Joreen Arigye, Purdue University; Alejandra J. Magana, Purdue University at West Lafayette (COE); Joseph A. Lyon, Purdue University; Elsje Pienaar

Tagged Divisions

Educational Research and Methods Division (ERM)

.[13] P. Yantraprakorn, P. Darasawang, and P. Wiriyakarun, “Enhancing self-efficacy through scaffolding,” Proceedings from FLLT, 2013.[14] A. Bandura, “Self-efficacy: toward a unifying theory of behavioral change.,” Psychological review, vol. 84, no. 2, p. 191, 1977.[15] R. M. Klassen and E. L. Usher, “Self-efficacy in educational settings: Recent research and emerging directions,” The decade ahead: Theoretical perspectives on motivation and achievement, vol. 16, pp. 1–33, 2010.[16] M. J. Scott and G. Ghinea, “Measuring enrichment: the assembly and validation of an instrument to assess student self-beliefs in CS1,” in Proceedings of the tenth annual conference on International computing education research, 2014, pp. 123

Conference Session

Innovations in Curriculum, Projects, and Pedagogy in Aerospace Engineering Education

Collection

2019 ASEE Annual Conference & Exposition

Authors

Chadia A. Aji, Tuskegee University; M. Javed Khan, Tuskegee University

Tagged Topics

Diversity

Tagged Divisions

Aerospace

3 © American Society for Engineering Education, 2019 2019 ASEE 126th National Conferencethought processes on the white board, working out problems, using “Jeopardy” style games forreviewing the concepts, etc. The post-class work included graded homework problems tostrengthen the concepts.The Motivation Strategies for Learning Questionnaire (MSLQ) [55] was administered to thestudents of the intervention and control groups to measure the five dimensions (a) Self efficacy,(b) Intrinsic value, (c) Test anxiety, (d) Cognitive strategy use, and (e) Self-regulation. Students’perceptions of the flipped classroom were determined with a Flipped Classroom survey. Theseinstruments had a 5-point

Conference Session

Retention and Two-year to Four-year Transfer

Collection

2012 ASEE Annual Conference & Exposition

Authors

Cheryl Carrico P.E., Virginia Polytechnic Institute and State University; Chosang Tendhar, Virginia Polytechnic Institute and State University

Tagged Divisions

Two Year College Division

Brown’s Social Cognitive CareerTheory (SCCT) model was used. A quantitative survey was developed and sent to students atfive community colleges in the state of Virginia. The purpose of the study was to test thepredictive relationship among four variables (self-efficacy, outcome expectations, interests, andgoals) of the SCCT model and to measure participants’ motivation to pursue engineering degreesand careers. The data from 68 responses were analyzed using internal consistency measures,descriptive statistics, correlations, factor analyses, and multiple regression. KMO and Barlett’sTest yielded significant results to allow factor analyses. The mean of all four variables wereabove the mid-point of five-point Likert scale. Intercorrelation among the

Conference Session

Engineering in the Middle Grades

Collection

2010 Annual Conference & Exposition

Authors

Morgan Hynes, Tufts University; David Crismond, The City College of New York; Ethan Danahy, Tufts University

Tagged Divisions

K-12 & Pre-College Engineering

can lead to less effectivecurriculum implementation, and, even worse, lower student efficacy in that content area 20.The project team did not have a validated tool to measure the teachers’ EDP content knowledge,but were able to use a newly validated tool to measure the teachers EDP. The EngineeringDesign Self-efficacy Survey developed by Carberryet al.21measures one’s self-efficay,motivation, expectancy, and anxiety towards carrying out the EDP. The tool was developed todiscern individuals self-efficacy towards the EDP and was applied to groups ranging from littleto no engineering background to experts in the field (professional engineers and engineeringprofessors).ResultsThe teachers who participated in the summer workshop each took the

Conference Session

Educational Research and Methods Division (ERM) Technical Session 14

Collection

2024 ASEE Annual Conference & Exposition

Authors

Cory Lam, University of Washington; Denise Wilson, University of Washington

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

following the COVID-19 pandemic) andremote (during the pandemic) learning settings in mechanical and electrical and computerengineering. Variables representing expectancy, value, and predictors of expectancy and valuewere integrated into hierarchical linear models to understand their influence on cognitiveengagement and to explore whether or not the expectancy-value model was stable over time inthe engineering education context. Consistent with expectancy-value theory, our results indicatedthat expectancy (measured by self-efficacy) and value (as measured by intrinsic and utility value)positively and significantly predicted cognitive engagement for all time periods. Previousacademic achievements as measured by overall GPA was also consistent across

Conference Session

Educational Research and Methods Division (ERM) Technical Session 12

Collection

2024 ASEE Annual Conference & Exposition

Authors

Matthew Bahnson, Purdue University; Eric Trevor McChesney, University of Pittsburgh; Carlie Laton Cooper, University of Georgia; Allison Godwin, Cornell University; Linda DeAngelo, University of Pittsburgh; Kevin R. Binning

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

differences in these relationships by studentrace and gender. The model includes engineering identity as directly predicted by self-efficacy,interest, and sense of belonging. Sense of belonging is likewise predicted by self-efficacy andinterest, generating additional indirect influences on engineering identity. Finally, a sense ofbelonging is further predicted by cross-racial and cross-gender belonging experiences. The strongrelationships between measures provide insight into the potential for interventions to improveengineering identity in early career engineering students. Future work to analyze the longitudinalchange in measures and identity in association with the intervention will further demonstratevariable relationships. Results provide

Collection

2021 Fall ASEE Middle Atlantic Section Meeting

Authors

Ashley Lytle, Stevens Institute of Technology; Alexander John De Rosa, Stevens Institute of Technology (School of Engineering and Science); Frank T Fisher, Stevens Institute of Technology (School of Engineering and Science)

Tagged Topics

Diversity

; Tutwiller, 2017; Komarraju, Swanson, & Nadler, 2014). AmongSTEM students, self-efficacy predicts engagement, recruitment, and retention of STEM students(Lent et al., 2003; Wang, 2013).STEM self-efficacy is often measured using a modified 5-item scale originally created byMidgley et al. (2000) as a measure of academic self-efficacy. Participants answer on a 1(Strongly Disagree) to 7 (Strongly Agree) scale with sample items that include: “I can do almostall the work in my STEM classes if I don’t give up” and “I am certain I can figure out how to dothe most difficult class work in STEM.” This scale has been used in recent empirical workcharacterizing how psychosocial variables influences STEM outcomes (Lytle & Shin, 2020; Shinet al., 2016

Conference Session

Division Experimentation & Lab-oriented Studies: Mechanical Engineering and Control

Collection

2015 ASEE Annual Conference & Exposition

Authors

Julianne Vernon, University of Michigan, College of Engineering; Cynthia J. Finelli, University of Michigan; Noel C. Perkins, University of Michigan; Bradford G Orr, University of Michigan

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

retention of women engineers13, 14, careeroutcomes15, and research-based teaching strategies16, 17. Finally, we hypothesized that the i-Newton demonstrations would positively impact students’ intention to persist in the major andtheir sense of inclusion, and we used a modified version of the Longitudinal Assessment ofEngineering Self-Efficacy (LAESE) to study these hypotheses. The LAESE is a validated 29-item instrument that measures four sub-factors: 1) engineering self-efficacy, 2) course specificself-efficacy, 3) intention to persist in the field, and 4) feelings of inclusion13, 18.For our study, students in all sections of ME 240 during the two terms of the project completedthe DCI at the end of the term (allowing us to assess objective #1

Conference Session

Entrepreneurship & Engineering Innovation Division Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Azadeh Bolhari, University of Colorado Boulder; Angela R. Bielefeldt, University of Colorado Boulder; Richard W Saxton, University of Colorado Boulder; Anvie Gowrishankar, University of Colorado Boulder; Maya Leizerovich, University of Colorado Boulder; Shane Gavney, University of Colorado Boulder

Tagged Topics

Diversity

Tagged Divisions

Entrepreneurship & Engineering Innovation Division (ENT)

conducted in a single junior-level course for environmentalengineering students. The innovation self-efficacy of participants was measured using a surveythat included items from the Very Brief Innovation Self-Efficacy scale (ISE.6), the InnovationInterests scale (INI), and the Career Goals: Innovative Work scale (IW). The drawings wereanalyzed for Artistic Effort (AE) and Creative Work (CW) by engineering and art evaluators,respectively. The ISE survey results were compared with the AE and CW scores and thecorrelations with travel, gender, and multilingualism on creativity attributes were explored. Astrong correlation between CW scores and AE scores was observed. A negative correlationbetween CW and ISE.6 was found. The CW scores were significantly