Conference Session

Engineering Leadership Development Division Technical Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Brett Tallman, University of Texas at El Paso; Bryce E. Hughes, Montana State University - Bozeman; William J. Schell

Tagged Topics

Diversity

Tagged Divisions

Engineering Leadership Development Division (LEAD)

, respectively). Strong effect sizes of .86 and .64were seen for lower- and upper-division students, respectively. Participants also indicatedsignificantly higher leadership interest (p < 0.001) and self-efficacy (p = 0.001), per Table 3.Moreover, effect sizes were high, ranging from .63 to .95. Further exploration of the resultsidentified how increases in identity varied by participant characteristics. Correlation analysiscompared change in leader identity with absolute measures in other outcomes (i.e., interest andself-efficacy). This analysis found two significant relationships for upper-division students;leadership interest (r (50) = -.454, p = 0.001) and self-efficacy (r (50) = -.535, p < 0.001) wereboth negatively correlated with identity

Conference Session

Engineering Professional Development for K-12 Teachers – II

Collection

2007 Annual Conference & Exposition

Authors

Bruce Gehrig, University of North Carolina-Charlotte; Lyndon Abrams, University of North Carolina-Charlotte; Deborah Bosley, University of North Carolina-Charlotte; James Conrad, University of North Carolina-Charlotte; Stephen Kuyath, University of North Carolina-Charlotte; Dawn Denney, Northwest Cabarrus High School; Kelly Teague, J.M. Robinson High School; Bill Welch, J.M. Robinson High School

Tagged Divisions

K-12 & Pre-College Engineering

modulescovering the following topics: § "Why K-12 Engineering Education?" Introduction § Diversity in Learning Styles and Self-Efficacy § Collaborative and Active Learning § Engineering Profession Overview and Academic Pathways Page 12.706.5 TECT: TECT:TEACHING ENGINEERING TEACHINGENGINEERING TO TO COUNSELORS

Conference Session

Engagement in Practice: Engaging the Community through Educational Outreach

Collection

2018 ASEE Annual Conference & Exposition

Authors

Mariam Manuel, University of Houston; Ricky P. Greer, University of Houston; Jerrod A Henderson, University of Houston (CoE & CoT); Virginia Snodgrass Rangel Rangel, University of Houston

Tagged Topics

Diversity

Tagged Divisions

Community Engagement Division

to take ‘gatekeeper’ courses such as Pre-Calculus and Calculus (NCES, 2016).Purpose StatementAlthough, only in the preliminary stages of data collection, the primary goal of this work is toaddress the challenge of broadening participation in STEM, particularly among UR boys bybuilding on a pilot afterschool STEM program for UR boys. Specifically, this project proposesthe STEM Engagement through Mentoring (SEM) model as a way to address the followingquestions:1) In what ways do fathers/mentors motivate students to become aware of, interested in, and prepared for STEM careers?2) To what extent does involvement in SEM shape the students’ STEM identity?3) What impact does working with the SEM program have on the self-efficacy of pre-service

Conference Session

NSF Grantees Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Michael Johnson, Texas A&M University; Bimal P. Nepal, Texas A&M University; Norma Perez, Houston Community College

Tagged Topics

NSF Grantees Poster Session

, Honolulu, Hawaii: ASEE, 2007-2972.[11] De-Juan, A., Fernandez Del Rincon, A., Iglesias, M., Garcia, P., Diez-Ibarbia, A. & Viadero, F., (2016). Enhancement of mechanical engineering degree through student design competition as added value. Considerations and viability. Journal of Engineering Design, 27 (8), 568-589.[12] Seth, D., Tangorra, J. & Ibrahim, A., (Year). Measuring undergraduate students' self- efficacy in engineering design in a project-based design courseed.^eds. Frontiers in Education Conference (FIE), 2015. 32614 2015. IEEEIEEE, 1375-1382.[13] Hadim, H.A. & Esche, S.K., (Year). Enhancing the engineering curriculum through project-based learninged.^eds. Frontiers in Education, 2002. FIE 2002

Conference Session

First-Year Programs: Deciding on a Major

Collection

2019 ASEE Annual Conference & Exposition

Authors

Kerry Meyers, University of Notre Dame; Victoria E. Goodrich, University of Notre Dame

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

choice, but that there can be barriers that confound decision making. For example anindividual’s prior experiences and background (culture, gender, genetic endowment, sociostructuralconsiderations, and disability or health status) impact the nature and range of their career possibilitiesconsidered. In theory, SCCT aims to describe the intersection of self-efficacy beliefs, outcomeexpectations, and goals11. Self-efficacy, defined by Bandura, is one’s own belief about one’s ability toachieve a task12. This derives from four primary sources: performance outcomes, vicarious experiences,verbal persuasion, and physiological experiences. Self-efficacy is a task level theory; it is useful in classsettings where students can perceive separate domains

Conference Session

Software & Web-based Education

Collection

2016 ASEE Annual Conference & Exposition

Authors

Katie Evans, Louisiana Tech University; Paul Hummel, Louisiana Tech University; Miguel Gates, Louisiana Tech University

Tagged Divisions

Electrical and Computer

average, students in online learningconditions performed modestly better than those receiving face-to-face instruction” [5]. Similarresults were found in a study of college algebra students at a community college [6]. Specifically,online homework was found to be “just as effective as textbook homework in helping studentslearn college algebra and in improving students’ mathematics self-efficacy,” as measured by theMathematics Self-Efficacy Scale. Further, it was observed that “online homework may be evenmore effective for helping the large population of college algebra students who enroll in thecourse with inadequate prerequisite math skills.” Some universities report that students performbetter on exams when using WeBWorK thus boosting student

Conference Session

Instructional and Learning Assessment in Chemical Engineering

Collection

2016 ASEE Annual Conference & Exposition

Authors

Jacqueline Gartner Ph.D., Washington State University; Bernard J. Van Wie, Washington State University; Kirk A Reinkens, Washington State University; Stephanie Anne Pitts, Washington State University

Tagged Divisions

Chemical Engineering

discoveries in engineering. 19 I enjoy learning engineering. 9 I am confident I will do well on engineering tests. 14 I am confident I will do well on engineering labs and projects. Self-efficacy 15 I believe I can master engineering knowledge and skills. 18 I believe I can earn a grade of an “A” in engineering. 21 I am sure I can understand engineering. 5 I put enough effort into learning engineering. 6 I use strategies to

Conference Session

NSF Grantees' Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Nathan W. Klingbeil, Wright State University; Anthony Bourne, Wright State University

Tagged Topics

NSF Grantees Poster Session

linkbetween program impacts on student motivation and self-efficacy and ultimate graduate rates.The Wright State ModelIt is well known that student success in engineering is highly dependent on student success inmath, and perhaps more importantly, on the ability to connect the math to the engineering1-6.However, first-year students typically arrive at the university with virtually no understanding ofhow their pre-college math background relates to their chosen degree programs, let alone theirfuture careers. And despite the national call to increase the number of graduates in engineeringand other STEM disciplines7 , the inability of incoming students to successfully advance past thetraditional freshman calculus sequence remains a primary cause of

Conference Session

Empowering Students and Strengthening Community Relationships

Collection

2024 ASEE Annual Conference & Exposition

Authors

Danielle N. Wagner, Purdue University; Sukrati Gautam, Purdue University; Peyman Yousefi, Merck Group; Nuela Chidubem Enebechi, Purdue University; Andrew Pierce, Purdue University; William C. Oakes, Purdue University

Tagged Divisions

Community Engagement Division (COMMENG)

. Likewise, the infrastructure in place to facilitate the courses,whether software or physical resources, can impact the GTA experience in positive and negativeways.The interpersonal network for a EPICS GTA is complicated, with large variation in perceived‘rank’ of individuals that must be navigated by the GTA (Figure 2). These relationships can oftenconflict and create sources of stress for the GTA, who is likely already in an intense phase ofpersonal formation and building self-efficacy. A common cause of such conflict arises from having‘dotted-line’ management. GTA’s in general often balance multiple roles with differentsupervisors, including at minimum their direct supervisor for their TA position and their researchadvisor if applicable

Conference Session

Improving Visualization Skills

Collection

2011 ASEE Annual Conference & Exposition

Authors

Norma L. Veurink, Michigan Technological University; AJ Hamlin, Michigan Technological University

Tagged Divisions

Engineering Design Graphics

courses have noticed a marked increase in students’ confidencelevels over the course of the spatial training. Could a student’s confidence (and therefore theirspatial skills) influence their success and their career choices?Studies have shown the impact of confidence or self-efficacy on student success. For example,Lent et al. (1984)7 found that students reporting high self-efficacy (confidence in their ability to Page 22.1314.2successfully complete various scientific and engineering degrees) achieved higher grades andpersisted longer in scientific and technical programs than those that reported low self-efficacy.Additionally, Towle et al

Conference Session

Entrepreneurship and Engineering Innovation Division Technical Session 5

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Maria-Isabel Carnasciali, University of New Haven; Cheryl Q. Li, University of New Haven; Nadiye O. Erdil, University of New Haven; Ronald S. Harichandran, University of New Haven

Tagged Divisions

Entrepreneurship & Engineering Innovation

effectiveness of those efforts and as part of abroader effort to measure the self-efficacy of engineering faculty to teach EM concepts, facultycompleted a similar survey instrument to the one administered to first-year and fourth-yearstudents. This work in progress paper presents the preliminary comparison.MethodsOur version of the Entrepreneurial Mindset Instrument for students contains 50 statements andstudents are asked to indicate their level of agreement with each based on a 5-point Likert scalefrom Strongly Disagree to Strongly Agree. In addition, an option to indicate that they Do NotUnderstand the statement is included to reduce bias or forcing them to randomly select anoption. As published in 2018 [6], of the 50 statements, 49 are loaded onto

Conference Session

Statics Online

Collection

2015 ASEE Annual Conference & Exposition

Authors

Devin R. Berg, University of Wisconsin, Stout

Tagged Divisions

Mechanics

of pre-CI scores. Interestingly,looking at the concept inventory scores for the top and bottom 20% of students measured byparticipation as presented in Table 2, the top 20% students for each cohort showed greaterimprovement when compared with the bottom 20%. For the small cohort, the percentageimprovements in CI scores were 64.9% and 72.9% for the bottom and top 20%, respectively. Forthe large cohort, the percentage improvements in CI scores were 9.1% and 47.3% for the bottomand top 20%, respectively. Thus the small cohort displayed greater performance gains overallregardless of participation level, while the gains for the large cohort showed greater difference onthe basis of participation level.Results from the qualitative self-efficacy

Conference Session

NSF Grantees Poster Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Nicole Evans McIntyre, University of California, Berkeley; Catherine T. Amelink, Virginia Polytechnic Institute and State University

Tagged Topics

Diversity, NSF Grantees Poster Session

research projects, mentoring, boot camp, professionaldevelopment, and community building events. Analysis of quantitative evaluation datademonstrates that, despite the remote format, interns had a very positive internship experienceand highly satisfying mentoring relationships with graduate students. Most notably, theinternship significantly enhanced students’ confidence to succeed as a student in science andengineering, and self-efficacy in their research skills. This paper and poster presentation willprovide a model for similar NSF funded programs pursuing an online format. The administrativeteam expects such transitions to become increasingly common for various reasons, including theneed to adapt to unexpected health and environmental barriers

Conference Session

Active and Project-Based Learning

Collection

2011 ASEE Annual Conference & Exposition

Authors

John S. Lamancusa, Pennsylvania State University, University Park; Laura L. Pauley, Pennsylvania State University, University Park

Tagged Divisions

Mechanical Engineering

. In Fall 2010, the ranking ofdesign activities was done at the end of the intermediate design course. In the future, we plan toconduct this activity at the beginning and end of the course and assess differences in students’responses.4.1c Design SurveyThe self-efficacy design survey developed by Carberry et al.17 was used to measure students’self-concepts towards engineering design. Students are asked to evaluate their confidence,motivation, success, and anxiety in performing nine different design tasks. The question stemdirections state: “Rate your degree of confidence/motivation/success/anxiety in performing thefollowing tasks by recording a number from 0 to 100.” The tasks listed under each stem are:conduct engineering design, identify a

Conference Session

Biomedical Division Postcard Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

William H Guilford, University of Virginia; Meg Keeley M.D.; Brian P. Helmke, University of Virginia; Timothy E. Allen, University of Virginia

Tagged Divisions

Biomedical Engineering

of the program toward becoming physicians. At the end of the program,the Scholars were 90% ± 6 certain of becoming physicians (no significant change from thebeginning, p=0.4), and 81% ± 5 certain of becoming engineers (p=0.05). The effect size forincreasing interest in becoming an engineer was large (Cohen’s d=1.1). This is most easilydescribed as the program promoting the development of Clinician Engineers.We also asked participants to estimate the impact of the immersion experience on the abilitydimension of their engineering design self-efficacy – a measure of students’ self-perceived abilityto engage in nine different engineering tasks [10], to which we added “document technicalmatters,” “learn new things,” and “empathize.” There were

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Quintana (Quincy) Clark, Oregon State University; Chidinma Grace Okoye; Theodore Ja

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

(1994) usability inspection methods, usability testing will be done throughfocus groups to explore participants’ perceptions of the user interface design, identify designproblems, and uncover areas to improve the user interface and user experience in Ecampus andhybrid courses (RQ1). A heuristics evaluation [16, 17] of the user interface will be conducted toensure that usability principles are followed to provide a user interface with inclusivity andaccessibility (RQ2). A Likert scale will be adapted from Bandura’s (1989) MultidimensionalScales of Perceived Self-Efficacy [18] to explore participants' self-regulatory efficacy (RQ3).Planned InterventionThe proposed study will combine elements of both exploratory and quasi-experimental

Conference Session

K-12 & Pre-College Engineering Division: Home, Parents, and Other Out-of-School Issues Related to K-12 and Pre-College Engineering Education

Collection

2016 ASEE Annual Conference & Exposition

Authors

Justin L. Hess, Indiana University - Purdue University, Indianapolis; Brandon Sorge, Indiana University - Purdue University, Indianapolis; Charles Feldhaus, Indiana University - Purdue University, Indianapolis

Tagged Divisions

Pre-College Engineering Education Division

(a survey that measures intrinsic goal orientation, extrinsic goalorientation, task value, control of learning beliefs, and self-efficacy). This study was similar toLawanto and colleagues’ study42 described above, but here the authors did not compare studentmotivations when engaging in two distinct design tasks. Rather, they built a regression model topredict success expectancy. Their results indicated that “students’ intrinsic goal orientation andtask value were significant predictors […] to students’ expectancy for success.”The next article, a 2011 dissertation from Capella University by Martin,41 explored the variablesthat influenced black PLTW students’ self-efficacy using the MSLQ54. Using the casualcomparative method, Martin found that

Conference Session

Research Experiences at Two-year Colleges

Collection

2017 ASEE Annual Conference & Exposition

Authors

Nicholas Patrick Langhoff, Skyline College; Amelito G Enriquez, Canada College

Tagged Topics

Diversity

Tagged Divisions

Two Year College Division

further internships, transfer preparedness, teamwork ability, and senseof self-efficacy.1. IntroductionDespite years of investments and resources devoted by the federal government and institutions ofhigher education towards broadening participation of underrepresented minorities (URMs) inscience, technology, engineering, and mathematics careers, significant progress has not beenachieved. For instance, since 2000, underrepresented minorities’ shares in engineering andphysical science degrees have been flat despite a rapid increase in their representation of theoverall US population. In fact, even though URMs currently constitute 30 percent of the USpopulation, they account for only about 12.5 percent of baccalaureate degrees awarded inengineering1

Conference Session

COED Programming Education 2: Instructional Approaches

Collection

2023 ASEE Annual Conference & Exposition

Authors

Richard Whalen, Northeastern University; Joshua L. Hertz, Northeastern University

Tagged Divisions

Computers in Education Division (COED)

introduction to hardware applications. Oncethey have gained facility in the programming language, they then apply this knowledge tohardware applications. In an alternative approach being piloted during this study, students areintroduced to programming and algorithmic thinking via the hardware applications; the material isintroduced concurrently instead of sequentially.Findings from pre and post-surveys indicate that students taught using both approaches had similarimprovements in self-efficacy to code and build projects with basic circuitry. In addition, moststudents appreciated the approach used in their class; if taught with a hardware-first approach, theythought a hardware-first approach provides greater learning, and if taught with a software

Conference Session

FPD 2: Retention

Collection

2013 ASEE Annual Conference & Exposition

Authors

Herbert P. Schroeder, University of Alaska Anchorage; Linda P. Lazzell, University of Alaska Anchorage

Tagged Divisions

First-Year Programs

science courses and their mathematics level was at algebra 1 orlower. It would be years before these underprepared undergraduates would be eligible to taketheir first introduction to engineering course. The lack of academic preparation for theseincoming first-year engineering students presented a formidable problem.We searched for a solution where we could connect directly with the K-12 students. It had toresult in the K-12 students being motivated to complete chemistry, physics, and trigonometry inhigh school. It had to develop the self-efficacy required to continue to pursue a challengingSTEM curriculum. At the university, we had to find a way for Alaska Native and AmericanIndian students to survive and then excel. We needed to develop an

Conference Session

Program Evaluation Studies

Collection

2018 ASEE Annual Conference & Exposition

Authors

Sunni Haag Newton, Georgia Institute of Technology; Meltem Alemdar, Georgia Institute of Technology; Roxanne A. Moore, Georgia Institute of Technology; Christopher J. Cappelli, Georgia Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

experience of inventing. What evidence do we have that this assumption is correct? What types of benefits doinvention-focused educational curricula and experiences confer to students? While there is a general sense that students benefit from involvement in these types of experiences, the formalliterature reflects a limited understanding of what specific benefits to students occur throughparticipation in invention education, as well as a lack of reliable and validated measures of theseoutcomes. Limited empirical evidence, gathered through interviews with educators, suggests thatstudents who engage in maker-centered education may experience gains in problem-solving,risk-taking, teamwork skills, self-efficacy, and sense of community; the

Conference Session

Engineering Identity

Collection

2017 ASEE Annual Conference & Exposition

Authors

Allison Godwin, Purdue University, West Lafayette (College of Engineering); Walter C. Lee, Virginia Tech

Tagged Divisions

Educational Research and Methods

engineering identity show significant differences as well.Engineering recognition and performance/competence beliefs in year four are higher than inyears one or two. The lack of significant differences for interest may be explained by studentpersistence. Students who are interested in engineering careers choose engineering as a majorand remain in engineering so long as that interest is sustained26–29. Consistent with other work,performance/competence beliefs which are a broader subject-related (rather than task-related)measure similar to self-efficacy does increase over students’ undergraduate engineeringeducation30,31. Previous work showed that recognition beliefs were the most significant predictorof engineering choice31. This paper does indicate

Conference Session

Addressing the Human Dimension in Teaching Statics, Dynamics, Mechanics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Eric Davishahl, Whatcom Community College

Tagged Topics

Diversity

Tagged Divisions

Mechanics

; Clauss, 2010). Some correlation would seem to be prerequisitefor application of the survey response data to other teaching goals such as formative assessment,learner self-efficacy development, and course design evaluation. Another potentially interestingapproach would be to compare survey response data to an alternative assessment measure suchas the Statics Concept Inventory (Steif, 2005). This potential correlation could be interesting toexplore in the future.It is important to note that in this study, students were encouraged to use the survey as a tool toidentify focus areas for their exam preparation efforts. If students successfully followed thisadvice, then their exam scores should be generally higher than their survey scores

Conference Session

Software Engineering Division Technical Session 1

Collection

2022 ASEE Annual Conference & Exposition

Authors

Britton Wolfe, Grove City College; Eli Lowry, Grove City College

entire class.Bergin and Reilly [12] examined 15 possible predictors, finding that student’s comfort level withprogramming and perception of their programming performance were the strongest individualpredictors. However, the perception of programming performance was surveyed in the secondsemester of the course, which would not permit early detection of high-risk students. Thecombination of students’ perception of programming performance, comfort level, high schoolmath score, and gender accounted for 79% of the variance in programming performance.Quille and Bergin [6] revisited that earlier work, confirming that high school math scores andstudent’s programming self-efficacy are significant predictors of success. They explored severalcombinations

Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 7

Collection

2024 ASEE Annual Conference & Exposition

Authors

Margaret A Hunter, Hofstra University; David M. Rooney, Hofstra University; Richard J. Puerzer, Hofstra University

Tagged Topics

Diversity

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

factors by Heilbronner [3]:ability, self-efficacy, educational experiences and interest. Engineering majors are more likely tograduate when they have good math preparation [4]. Less than optimal high school preparationhas contributed to early switching out of STEM majors, and this phenomenon is experienced at ahigher rate by students of color. These students have reported that they were underprepared andoverconfident in their college STEM courses. The disconnect was described by these students asbeing top of their class in high school to being the bottom of their college physics or math classes[5]. Self-efficacy [6] is the belief by an individual that they have the ability to produce theoutcome expectancy. This can be described as an individual’s

Conference Session

Mechanical Engineering Division (MECH) Technical Session 3: Student Success

Collection

2023 ASEE Annual Conference & Exposition

Authors

Eleazar Marquez, The University of Texas Rio Grande Valley; Samuel Garcia, Texas State University

Tagged Topics

Diversity

Tagged Divisions

Mechanical Engineering Division (MECH)

his bachelor’s and master’s degrees from the University of Texas R´ıo Grande Valley, formerly University of Texas Rio Grande Valley. He also holds a doctorate degree in School Improvement from Texas State University. ©American Society for Engineering Education, 2023 Keeping Calm and Staying Balanced: Exploring the Academic Pressures Faced by Engineering Students to Attain High Grades and their Impact on Mental HealthStudies reveal that grades have a short-term impact on students’ self-efficacy, motivation, anddecision making. Earning high grades has become a focal point for engineering students to securethree types of opportunities: internships, post-graduation employment

Conference Session

NSF Grantees Poster Session

Collection

2011 ASEE Annual Conference & Exposition

Authors

Nathan W. Klingbeil, Wright State University; Scott Molitor, University of Toledo; Brian W. Randolph, University of Toledo; Shane A. Brown, Washington State University; Robert G. Olsen, Washington State University; C. Richard Cassady, University of Arkansas

Tagged Topics

NSF Grantees

3 1 0 4.2 of success in future math courses. 5. The lab sections aided my 1 15 5 6 0 3.4 understanding of the lecture material.Mathematics self-efficacy was also examined using qualitative and quantitative pre and post-ENGR 107 measures. Students were interviewed before and after the course. Preliminaryinterviews focused on students’ math backgrounds and confidence in their math abilities. Postcourse interviews focused on students’ perceived value of the course overall and on theirdevelopment of beliefs to be successful in college math. Pre and post-surveys were identical andconsisted of two scales, one listing 18 math problems relevant to pre-calculus and

Conference Session

ERM Potpourri

Collection

2015 ASEE Annual Conference & Exposition

Authors

Joseph E Michaelis, University of Wisconsin - Madison; Mitchell Nathan, University of Wisconsin, Madison

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

between students who intent to major in STEM fields and their peers whoplan a major outside of STEM. A survey that intends to measure student interest in engineeringas a trait, should be able to distinguish students indicating future interest in STEM from thosewho do not. This finding indicates that a need to refine the FIDES 1.0 in order to measureinterest in engineering as a psychological construct in a way that more accurately reflects ourunderstanding of the intended population.FIDES 2.0: Revised Instrument DevelopmentRevised Item Construction Revisions were made to the FIDES instrument on the basis of results from the pilot study.First, two additional indicators were added (content knowledge and self-efficacy). Second, toaddress

Conference Session

Promoting Well-Being in Engineering Education: Strategies and Perspectives

Collection

2023 ASEE Annual Conference & Exposition

Authors

Haleh Barmaki Brotherton, Clemson University; Marisa K. Orr, Clemson University

Tagged Divisions

Educational Research and Methods Division (ERM)

can increase the enrollment of students in Engineering. In addition, women’s self-beliefsplay a significant role in choosing their Engineering career. While compared to their maleengineering students, women’s self-perception of their performance and skills in Engineering arelower which could contribute to decreased desire in choosing and remaining in Engineering.Similarly, themes on the shared experience of Engineering identity (Huff, Smith, Jesiek,Zoltowski, & Oakes, 2019)showcase that stable career patterns are associated with higherdegrees of self-efficacy. According to (Byrnes, 1998) self-efficacy beliefs directly impactdecision-making behaviors in a way that college students with higher self-efficacy abilities aremore prone to

Conference Session

NSF Grantees: Faculty Development 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Lea K. Marlor, University of Michigan; Cynthia J. Finelli, University of Michigan; Madison E. Andrews, University of Texas at Austin; Bobbie Bermudez, University of Oregon; Maura J. Borrego, University of Texas at Austin; Laura J. Carroll, University of Michigan; Nicholette Marie DeRosia, University of Oregon ; Matthew Charles Graham; Jenefer Husman, University of Oregon; Michael J. Prince, Bucknell University

Tagged Topics

NSF Grantees Poster Session

chosen at random with 20 observed in each of the three groups (AL, AL+, and control).The instruments are being built based on other validated instruments, including those that wehave developed in our previous work [18]; however, since we are taking pieces from differentsurveys, we are doing additional validation with the surveys we build.Instructor SurveyTo assess instructors’ perceptions of their use of active learning instruction, we designed asurvey to measure instructors’ use of active learning and their self-efficacy towards using it.Moreover, the survey was designed to identify perceived barriers instructors face whenimplementing active learning into their curriculum. The instructor survey measures 20 constructswith 99 total items and will