Conference Session

Entrepreneurship & Engineering Innovation Division Technical Session 3

Collection

2019 ASEE Annual Conference & Exposition

Authors

Barbara A. Karanian, Stanford University; Ville Mikael Taajamaa, University of Turku; Christopher Andrew Parlier, Stanford University; Mona Eskandari, University of California, Riverside

Tagged Topics

Diversity

Tagged Divisions

Entrepreneurship & Engineering Innovation

; Ohland, 2012]. Includes phrases for innovation [33] and innovation self-efficacy [34] as a conception of self that express intrigue, interest, and excitement for observing and experimenting with new approaches. An overlap between achievement motivation and innovation exists since individuals with a high need to achieve also demonstrate a visionary sense and gain a sense of self-worth from excelling and doing something new. Dissimilar to achievement motivation, however, innovators have a creative competence [32] and a comfort with ambiguity [2]. Affiliation It tracks the extent to which a participant is personally capable of understanding the emotional make-up of other people and

Conference Session

ERM Technical Session 23: Courses and Research on Communication

Collection

2019 ASEE Annual Conference & Exposition

Authors

Ellen Zerbe, Pennsylvania State University, University Park; Catherine G.P. Berdanier, Pennsylvania State University, University Park; Natascha Trellinger Buswell, University of California, Irvine; Joana M. M. Melo, Pennsylvania State University

Tagged Divisions

Educational Research and Methods

survey originally comprisedfive individual scales in addition to demographic informational questions, and information aboutfuture anticipated career trajectories. The purpose of deploying a battery of writing scales was (1)to discern how, if at all, attitudes toward writing presented in different scales correlated with eachother; (2) to characterize dominant patterns or characteristics generalized over a large nationwidepopulation of engineering graduate students, and (3) also assess students’ writing attitudes inrelationship with their research self-efficacy, a topic on which students are more used to beingassessed. As part of a larger mixed-methods research design, the entire scale is deployed tocurrently-persisting engineering students and

Conference Session

Self-Regulation and Learning

Collection

2023 ASEE Annual Conference & Exposition

Authors

Taiwo Raphael Feyijimi, University of Georgia; Olanrewaju Paul Olaogun, University of Georgia; ISAAC DAMILARE DUNMOYE, Engineering Education and Transformation Institute, College of Engineering, University of Georgia, Athens, GA, USA; Nathaniel Hunsu, University of Georgia

Tagged Divisions

Educational Research and Methods Division (ERM)

," Annual Review of Organizational Psychology and Organizational Behavior, vol. 9, pp. 339-363, 2022.[28] T. Sitzmann, K. Ely, K. G. Brown, and K. N. Bauer, "Self-assessment of knowledge: A cognitive learning or affective measure?," Academy of Management Learning & Education, vol. 9, no. 2, pp. 169-191, 2010.[29] E. M. Kissling and M. E. O'Donnell, "Increasing language awareness and self-efficacy of FL students using self-assessment and the ACTFL proficiency guidelines," Language Awareness, vol. 24, no. 4, pp. 283-302, 2015.[30] A. Knight, "Using self-assessment to build self-efficacy and intrinsic motivation in athletes: a mixed methods explanatory design on female adolescent volleyball players

Conference Session

Pre-College Engineering Education Division (PCEE) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

John Geoffrey Knowles, Bryan College; Jung Han, Purdue University; Todd Kelley, Purdue University at West Lafayette (COE)

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

interaction, network density, network bridging, and networkreach at the school, district, state, and national/international community level, using 18statements. This instrument uses social network analysis (SNA) with visual network scales(VNS) to visualize and quantify characteristics of the CoP and then relates this to the constructsof self-efficacy and identity [24]. Preliminary results measured before and after the PD areshown below from our initial group of TRAILS 2.0 teachers (COP) Network Survey (n = 7). • Overall CoP Network size increased at the 95% confidence level (p < 0.05). • CoP Network size at the national/international level increased at the 95% confidence level (p < 0.05) • CoP Network sizes at the school

Collection

2023 ASEE North Central Section Conference

Authors

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

student success is warranted.The College of Engineering and Applied Sciences at Western Michigan University implementeda new, alumni mentoring program for the 2022-2023 academic year. Initially conceived as beingfocused on first-year students, the program evolved to include students from all undergraduatelevels. The structure, development, and challenges for implementation of this program will bediscussed. In addition, data will be presented from a study focused on first-year students tounderstand potential correlations between participation in mentoring relationships and positiveacademic, self-efficacy, and career awareness outcomes for the students. The College StudentMentoring Scale was used to understand the presence of a mentor-like presence

Conference Session

International Division Technical Session 5

Collection

2015 ASEE Annual Conference & Exposition

Authors

Cheryl Matherly, The University of Tulsa; Sarah R. Phillips, Rice University ; Cody A. Chapman, University of Tulsa

Tagged Topics

Diversity

Tagged Divisions

International

a measure of self-efficacy (1 = not at all true, 4 = exactly true). The final sectionasks students about their career plans and uses the same scale as the second section. Theinstrument was developed by the Georgia Tech Office of Assessment and uses an externallyvalidated General Self-Efficacy Scale to assess an individual’s ability to cope with stressful lifeevents.405.0 ResultsMean scores from the GITIIS were computed for both programs, and independent anddependent samples t-tests were conducted in order to assess between and within group meandifferences, respectively. The complete results are reported in the appendix, but this paper willfocus on the student responses to items measuring perceived level of preparation at the end oftheir

Conference Session

College Industry Partnerships Division Technical Session 2

Collection

2022 ASEE Annual Conference & Exposition

Authors

Adrian Gentry; Peter Bermel, Purdue University at West Lafayette (COE); Eric Holloway, Purdue University at West Lafayette (COE); Kerrie Douglas, Purdue University at West Lafayette (COE)

., 2020), minoritizedgender and sexual identities (Tatum, 2018), first generation undergraduate students (Garriott etal., 2017), people with disabilities (Pham et al., 2020), and low socioeconomic status individuals(Pulliam et al., 2017). Additionally, SCCT has been heavily used to understand the career pathsof historically underrepresented populations in STEM fields (Fouad & Santana, 2017; Hardin &Longhurst, 2016; Lent et al., 2018; Turner et al., 2019). SCCT explains how career choice is formed based on five key factors: self-efficacy,outcome expectations, personal interests, choice goals and actions, and performance domains andattainments. In SCCT, self-efficacy and career outcome expectations, in combination withenvironmental

Conference Session

NSF Grantees Poster Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Joni M. Lakin, University of Alabama; Daniela Marghitu, Auburn University; Edward W. Davis, Auburn University; Virginia A. Davis, Auburn University

Tagged Topics

Diversity, NSF Grantees Poster Session

-Camp Surveys. The quantitative surveys included measures of science andengineering interest and self-efficacy developed for this age group. [33] [34] Example items areprovided in Table 3. The scale for each ranged from 1 (not at all true) to 3 (somewhat true) to 5(very true). Given the limited sample, we used the Wilcoxon signed-rank test for a paired samplecomparison. [35] This nonparametric test compares the magnitude of pre-to-post changes acrossparticipants to determine if the positive changes are consistently larger than any negativechanges.At the beginning of camp, students also rated their career and life values on a survey instrumentcommonly used for career planning. [36] Examples are included in Table 3. The scale rangedfrom 1 to 4: 1

Conference Session

Minorities in Engineering Division Technical Session 1

Collection

2018 ASEE Annual Conference & Exposition

Authors

Idalis Villanueva, Utah State University; Laura Ann Gelles, Utah State University - Engineering Education; Marialuisa Di Stefano, Utah State University; Buffy Smith, University of St. Thomas; Renetta G. Tull, University of Maryland, Baltimore County; Susan M Lord, University of San Diego; Lisa Benson, Clemson University; Anne Therese Hunt, Hunt Consulting Associates; Donna M. Riley, Purdue University-Main Campus, West Lafayette (College of Engineering); Gery W. Ryan, Pardee RAND Graduate School in Policy Analysis

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering

engineering.ConclusionIn engineering, HC is not well understood, including its mechanisms or potential constructs. Toour knowledge, there is no research that has attempted to explore the mechanisms and potentialconstructs behind HC in engineering. In this work, the authors have summarized some potentialconsiderations and constructs that can be measured for the exploration of HC in engineering.Collectively, the considerations posit that HC identification is central and could be tied to anindividual’s emotions, self-efficacy, and self-advocacy. It is believed that when individualsexperience scenarios, via vignettes, that center around HC in engineering, they can identify the HCthrough a frame of reference that can enable them to respond and react to the witnessed

Conference Session

Assessment and Evaluation of K-12 Engineering Programs

Collection

2011 ASEE Annual Conference & Exposition

Authors

Elizabeth Dell, Rochester Institute of Technology; Margaret B. Bailey, Rochester Institute of Technology; Shauna O'Hurley, Rochester Institute of Technology; Robert P. Lillis, Evalumetrics Research; Betsy Khol, Women in Engineering; Robert D. Garrick, Rochester Institute of Technology; Jeanne Christman, Rochester Institute of Technology

Tagged Divisions

Engineering and Public Policy, K-12 & Pre-College Engineering

identified for various components of the logic model. Interest in science, attitudesrelated to interest, e.g. gender bias, and self-efficacy can be measured with surveys and one-on-one or focus group interviews.20,21 Commitment to science education and/or careers cangenerally not be observed or measured within the time and resource restraints of the program.However, social scientist often use “behavioroid” measures, that is, a measure of commitmentthat more than an expressed attitude but not an immediately observed behavior.22 Unlikeattitudinal measures, e.g. checking yes to a survey item, “I would like to attend more scienceeducation”, behavioroid measures entail a commitment to a behavior such as signing up for anactual future training.The

Conference Session

NSF Grantees Poster Session

Collection

2009 Annual Conference & Exposition

Authors

John Krupczak, Hope College; Kate Disney, Mission College; Scott VanderStoep, Hope College

personally meaningful.• Self-Efficacy: If students feel competent and empowered to succeed they will have high scores on self-efficacy.These MSLQ scales have been used on hundreds of campuses. The psychometric properties arereliable and predict achievement [12].Preliminary results from an initial test at Hope College are shown in Figure 1.The results are highly encouraging—after completing just one series of the initial version of thelaboratory activities in a technological literacy course for non-engineering majors, these studentsdemonstrated increased intrinsic motivation, increased task value, and improved self-efficacyabout science and technology. Self-efficacy increased by more than 10% and test anxiety abouttechnological topics decreased

Conference Session

Middle School Engineering Education

Collection

2018 ASEE Annual Conference & Exposition

Authors

Lawrence Chu, University of Texas at Austin; Victor Sampson, University of Texas at Austin; Todd L. Hutner, University of Texas at Austin; Stephanie Rivale, University of Texas at Austin; Richard H. Crawford, University of Texas at Austin; Christina L. Baze, University of Texas at Austin; Hannah Smith Brooks, University of Texas at Austin

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

persistence and retention in the field [28], [29]. Godwin [30]dissociates identity into three separate factors: recognition from others, interest in engineering,and performance/competence, which is tied closely with self-efficacy. Similar measures are thusused in the survey instrument for this work. Also tied to engineering interest is the exposure ofstudents to seeing the ways in which engineers contribute to society, how they change the world,and how they make it a better place. Explicitly showing this can help encourage futureengineering interest and broaden participation in the field [31].The literature shows that much has already been implemented in the way of promoting equity inengineering and science. Much of what has been done has been in the

Conference Session

Biomedical Engineering Division (BED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Callan E. Monette, Stanford University; Alexis Seymour, Stanford University; William T Yu, Stanford University; Leighton Terrance Wan, Stanford University; Andrew Sho Perley, Stanford University, Department of Bioengineering; Ross Daniel Venook, Stanford University

Tagged Topics

Diversity

Tagged Divisions

Biomedical Engineering Division (BED)

and mentors.Evaluating Impacts of Trained Participants on the Bioengineering CommunityWhile we hypothesize that our course empowers participants to accomplish the learning goalsand develop greater self-efficacy as educators while taking the class, we aim to further evaluatethe longer-term impacts of our course participants within the bioengineering departmentcommunity by measuring their effectiveness as TAs. We will design our data collection alongthree key dimensions: (1) Sampling a greater proportion of graduate students in Bioengineeringincluding non-course participants as a control, (2) Evaluating content mastery of pedagogicalknowledge covered in the course via written and/or oral assessment, and (3) implementinglongitudinal surveys to

Conference Session

ERM Technical Session 6: Technology-enhanced Instruction and Assessment

Collection

2019 ASEE Annual Conference & Exposition

Authors

Brandon Xavier Karcher, Bucknell University; Beth M. Holloway, Purdue University, West Lafayette; Brittany Pierson, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

insights into these findings. One possible explanation may be stereotypethreat, which Steele and Aronson [10] first described as being at risk of conforming to negativestereotypes within one's own group (e.g., men are better engineers, boys are better at math).Stereotype threat has been shown to inhibit performance and self-efficacy, which isinterdependent on self-regulated learning [11], [12]. However, research has also found thatfemale engineers can experience a “stereotype boost”, where they are motivated by the presenceof unfavorable stereotypes [13]. Female students in this study could be motivated by stereotypethreat to overcome negative stereotypes, especially since they were able to compare themselveswith peers, largely male, within

Conference Session

STEM Education Tied to Aerospace Engineering

Collection

2016 ASEE Annual Conference & Exposition

Authors

Hansel Burley, Texas Tech University; Terrance Denard Youngblood, Texas Tech University; Ibrahim H. Yeter, Texas Tech University; Casey Michael Williams, Texas Tech University

Tagged Topics

Diversity

Tagged Divisions

Aerospace

, observation b) Significantly more positive self-efficacy when faced with a STEM-related problem. i) Pre/post attitudinal survey; key interviews, observation c) Significantly improved intentions to take STEM-related courses after the program. i) Pre/post attitudinal survey; key interviews, observation d) Significantly improved self-efficacy in regard to 21st century skills 62) SystemsGo’s participants will finish the program with significantly improved 21st century skills, including teamwork and collaboration, communication, leadership, and problem solving. (reaching some pre-determined criterion) a) Exhibit significantly more positive

Conference Session

NSF Grantees Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Elisa Bravo, University of Michigan; Jesse Austin-Breneman, University of Michigan

Tagged Topics

Diversity, NSF Grantees Poster Session

engineeringidentity, sense of belonging, and self-efficacies.The survey instrument was designed with validated scales to measure engineering self-efficacy[19], design self-efficacy [20], and students’ sense of belonging [21]. The first survey also askedstudents to self-report demographic items, such as gender identity, sexual orientation,race/ethnicity, nationality, status as first-generation college students, estimated family income,plans to work during the academic year, and if they would identify as having a disability. Theinstrument also asked students what forms of making they had previous experience with, forexample, woodworking or making with textiles. Students’ perceived attitudes towardmakerspaces were also collected through the form of Likert-type

Conference Session

Women in Engineering Division Technical Session 4

Collection

2019 ASEE Annual Conference & Exposition

Authors

Kristina Rigden, California State Polytechnic University, Pomona; Mariappan Jawaharlal, California State Polytechnic University, Pomona; Nicole Gutzke, Cal Poly Pomona

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

becoming a critical job skill of the future. When one learns coding, it can help lay out aplan, evaluate the methodology, troubleshoot problems, and implement a strategy. STEM Confidence Albert Bandura’s self-efficacy theory will be used to define STEM confidence. AlbertBandura’s self-efficacy theory is developed in the field of behavioral change and he states that“…cognitive processes mediate change but that cognitive events are induced and altered mostreadily by experience of mastery arising from effective performance” [11]. The mastery that arisesfrom this effective performance is defined as confidence. Confidence is the self-belief in people’scompetence or chance to successfully complete a task [12

Conference Session

Minorities in Engineering Division Technical Session 5

Collection

2019 ASEE Annual Conference & Exposition

Authors

Amy Trauth, University of Delaware; Jenni Buckley, University of Delaware; Sarah Ilkhanipour Rooney, University of Delaware; Joshua A. Enszer, University of Delaware; Tia Navelene Barnes, University of Delaware; Rachel Davidson, University of Delaware

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering

conducting mixed methodsresearch. Thousand Oaks, CA: Sage Publications, Inc.[14] Merriam, S. B. (1998). Qualitative research and case study applications in education. SanFrancisco, CA: Jossey-Bass. [15] D. Chachra and D. Kilgore, “Exploring gender and self-confidence in engineering students:A multi-method approach,” Cent. Adv. Eng. Educ., Washington, USA, Tech Rep. Apr. 2009.[16] H. Chen, K. Donaldson, O. Eriş, D. Chachra, G. Lichtenstein, S. D. Sheppard, and G. Toye,“From PIE to APPLES: The evolution of a survey instrument to explore engineering studentpathways,” in 2008 ASEE Proceedings.[17] D. Baker, S. Krause, and S. Y. Purzer, “Developing an instrument to measure tinkering andtechnical self-efficacy in engineering,” presented at the 2008 ASEE

Conference Session

ET Pedagogy II

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Carmen Cioc, University of Toledo; John B. Napp, University of Toledo; Sorin Cioc, University of Toledo; Noela A. Haughton

Tagged Topics

Diversity

Tagged Divisions

Engineering Technology

accessing therequired technical information either through the library or online platforms; and, Questionnaire#2 (Fig. 2) which focused on the students’ communication and collaboration self-efficacy(adapted from one author’s previous work). Cronbach’s Alphas for Questionnaire #1 was 0.832,N=30, and for Questionnaire #2 was 0.794, N=29, respectively.Questionnaire #1 aligns with ABET Criterion 3, Outcome (1) “an ability to apply knowledge,techniques, skills and modern tools of mathematics, science, engineering, and technology tosolve broadly-defined engineering problems appropriate to the discipline”. Questionnaire #2aligns with Criterion 3 Outcome (5) “an ability to function effectively as a member as well as aleader on technical teams”. The

Conference Session

Girls in Engineering

Collection

2018 ASEE Annual Conference & Exposition

Authors

Linda S Hirsch, New Jersey Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

the 25 girlsin the FEMME program, 18 had attended the 4th grade FEMME program, 5 had attended the 4thgrade mixed-gender program, and there were 2 new students. One of the girls who hadpreviously attended the 4th grade FEMME program attended one of the mixed-gender programs.Except for the FEMME programs which had approximately 70% returning students, each of theother programs had approximately 40% returning students.The positive effects on female students acquired during the summer of 2015 were sustainedthrough the school year and were still evident from pre-measures for girls who returned duringthe summer of 2016. At the beginning of the 2016 program, the girls who had attendedFEMME4 showed higher levels of self-efficacy and demonstrated a

Conference Session

Engineering and Public Policy Division (EPP) Technical Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Syed Ali Kamal, University at Buffalo, The State University of New York; Matilde Luz Sánchez-Peña, University at Buffalo, The State University of New York; Ahmed Ashraf Butt, Purdue University at West Lafayette (COE)

Tagged Topics

Diversity

Tagged Divisions

Engineering and Public Policy Division (EPP)

]. Eudaimonic well-being refers to self-realization, choosing to engage inchallenging activities and continuously seeking opportunities for personal growth [5]. Thesethree forms of well-being have been shown to correlate highly with one another [8] and clusteronto a higher order latent construct. Based on the literature, this study considers the full extent ofwellbeing by creating a composite measure that consists of constructs such as satisfaction withlife, positive affect, and self-efficacy-resilience.PISA evaluation considers wellbeing as a multidimensional construct consisting of subjective aswell as material components that should reflect students’ lifestyle and quality of life [9]. Thisstudy specifically focuses on three main elements in PISA

Conference Session

International Division (INTL) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Md Sakib Ullah Sourav, Shandong University of Finance and Economics, China; Cristina Diordieva, Nanyang Technological University; Ribhav Galhotra, Nanyang Technological University, Singapore; Shahid Md. Asif Iqbal, Premier University, Chattogram, Bangladesh

Tagged Divisions

International Division (INTL)

, regardless of their engineering concentration and lay theinitial work for future performance enhancements for the students, educators, and policymakersin the STEM areas.IntroductionBangladesh's engineering and technology sectors are expanding as the country's economydevelops. Despite the country's relatively low level of economic growth, its engineering studentshave achieved remarkable academic performance, becoming some of the world's most qualifiedengineers. Researchers have demonstrated that self-efficacy, or the positive attitudes individualshold about their skills to accomplish activities, influences how they operate in a particulardomain, such as mental health and others [1, 2]. Increasingly, research findings indicate thatpsychological and

Conference Session

Best Practices in Out-of-School Time

Collection

2019 ASEE Annual Conference & Exposition

Authors

Joni M. Lakin, Auburn University; Mary Lou Ewald, Auburn University; Virginia A. Davis, Auburn University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

projects. Across two years, 32 teachers from two cohorts provided post-fairsurvey data from participating and non-participating students. We received data from 1,257students at the beginning of the year, but just 982 at the end of the year. Our matching effortsidentified 795 complete cases, which is the data we focus on here. See Table 1 for a breakdownof demographic information by teacher.MeasuresThe evaluation team developed these surveys to assess student attitudes towards science andengineering as well as experiences being involved in S&E fairs. Measures of science attitudes(value and self-efficacy for science) as well as science and engineering interest were drawn fromthe MSP-MAP project[12] that developed theoretically grounded measures

Conference Session

Teams and Teamwork in Design

Collection

2012 ASEE Annual Conference & Exposition

Authors

Derrick Wayne Smith, University of Alabama, Hunstville; Monica Letrece Dillihunt, University of Alabama, Huntsville; Phillip A. Farrington, University of Alabama, Huntsville; Michael P.J. Benfield, University of Alabama, Huntsville; Matthew William Turner, University of Alabama, Huntsville

Tagged Divisions

Design in Engineering Education

task and focuses on reasons such as challenge, curiosity, and mastery. • “Extrinsic Goal Orientation” measures the degree to which the student perceives him/herself to be participating in the task for reasons such as grades, rewards, competition, etc. • “Task Value” refers to the student’s evaluation of how interesting, how important, and how useful the task is and why they are participating in it. • “Control of Learning Beliefs” refers to the students’ beliefs that their efforts to learn will result in positive outcomes. • “Self-Efficacy for Learning and Performance” includes judgments about one’s ability to accomplish a task as well as one’s confidence in one’s skills to perform

Conference Session

Systems Engineering Division Technical Session 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Cassandra M. Birrenkott, South Dakota School of Mines and Technology; Karim Heinz Muci-Kuchler, South Dakota School of Mines and Technology; Mark David Bedillion, Carnegie Mellon University; Marsha Lovett, Carnegie Mellon University; Laura Ochs Pottmeyer, Carnegie Mellon University

Tagged Divisions

Systems Engineering

(.58) -5.28 33 <0.001* 2.25 (.62) 2.96 (.67) -3.34 15 0.001*Generation Systems 1.55 (.91) 2.90 (.51) -8.16 33 <0.001* 2.07 (.64) 3.09 (.68) -3.08 15 0.002* Architecturea repeated measures paired t-testb non-parametric Wilcoxon-sign rank test*significant at the 0.05 levelResults of paired t-test indicated that the overall increase in self-efficacy scores over the course ofthe Fall 2019 semester (pre M=1.61, SD=0.82; post M=2.80, SD=0.50) was statistically significantt(33)=-8.02, p<0.001. Additionally, the increase in self-efficacy scores in Fall 2020 (pre M=2.13,SD=0.64; post M=3.03, SD=0.60) was also statistically significant Z=-3.41, p<0.001.Overall, these self-efficacy results demonstrate

Conference Session

Attracting and Retaining Students in Civil Engineering

Collection

2011 ASEE Annual Conference & Exposition

Authors

Sameer Hamoush P.E., North Carolina A&T State University; Ellie H. Fini, North Carolina A&T State University; Mahour Mellat Parast, University of North Carolina, Pembroke; Sanjiv Sarin, North Carolina A&T State University

Tagged Divisions

Civil Engineering

-based course, integrating a semester-long project as a stimulus for students’ learning. Toevaluate and compare students’ learning between the lecture-based and project-based teachingapproaches, the LITEE survey instrument (http://www.litee.org/site) was used. The surveyinstrument includes five constructs to measure five different aspects of students learning: higher-order cognitive skills, self-efficacy, ease of learning subject matter, teamwork, andcommunication skills. The survey on pre-assessment and post-assessment of student learningoutcomes was conducted to determine the effectiveness of the project-based approach onenhancing students’ learning outcomes. The results show that the use of the project-basedapproach significantly improved

Conference Session

NSF Grantees Poster Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Sara A. Atwood, Elizabethtown College; Shannon Katherine Gilmartin, Stanford University; Anna M. Mostoller, Elizabethtown College; Helen L. Chen, Stanford University; Sheri Sheppard, Stanford University

Tagged Topics

Diversity, NSF Grantees Poster Session

participation rates relatedto academic cohort (e.g., junior, senior), gender, underrepresented minority (URM) status, first-generation, and low-income status, as well as a subset of identities at the intersection of thesegroups (gender + URM; first-generation + low-income). A logistic regression model furtherexamined factors such as GPA, engineering task self-efficacy, field of engineering, andinstitution type.We found that amongst the students in our dataset, 64.8% of the seniors had “worked in aprofessional engineering environment as an intern/co-op” (41.1% of juniors, 64.7% of 5th years).Significantly less likely (p<0.05) to have internship experiences were men compared to women(52.9% vs 58.3%), URM students compared to their majority

Conference Session

NSF Grantees Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Vellore S. Gopalaratnam, University of Missouri, Columbia; Douglas J Hacker; Sarah Lynn Orton P.E., University of Missouri, Columbia; Rose M Marra, University of Missouri, Columbia

Tagged Topics

NSF Grantees Poster Session

PS5 1 Sense of Community, Self-Efficacy of Engineering Students, Grade Point Average 2 3 (Overall and Gateway 8), 4 Success Measures (Various), 5 Program SatisfactionThe Engineering Self-Efficacy survey (Frantz, Siller & Demiranda, 2011) measures students’judgments concerning their academic performance in engineering courses and an engineeringprogram, their expectations about an engineering career, and their persistence in pursuing anengineering education. In addition, at the end of each academic year, students participated in afocus group to discuss their personal experiences in the program and offer suggestions forchange

Conference Session

Industrial Engineering Division Technical Session 2

Collection

2016 ASEE Annual Conference & Exposition

Authors

Paul C. Lynch, Penn State University - Erie; Cynthia Bober, Penn State University; Joseph Wilck, United States Air Force Academy

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering

specific and complex challenges.8,10Inductive teaching methods truly cover a large variety of instructional methods, from inquirylearning, problem-based learning, and project based learning. Often, these methods are deemed“student centered”, as the mastery of the concepts falls on the students to understand theimportance of the material from the problems or projects.11 Overall, inductive teaching styleshave more student benefits than deductive teaching methods. Inductive teaching methods offermore combinations to reach the learning style needs of the classroom and engage students moreactively in the subject matter.Student Perceptions in the ClassroomSatisfaction, self-efficacy, motivation, and classroom environment are the main factors in

Conference Session

Faculty Career Development

Collection

2012 ASEE Annual Conference & Exposition

Authors

Jenna P. Carpenter, Louisiana Tech University; D. Patrick O'Neal, Louisiana Tech University; Lori L. Bakken, University of Wisconsin, Madison

Tagged Divisions

Women in Engineering

perspective10,11 that considers the multiple environments centralto one’s life and work. Relevant to this project, the authors advocated that attention be given tothe multiple environments of research, academia and home/family life that create numerous andoften competing expectations and demands on one’s work life. These multiple environmentsinteract with personal characteristics (e.g. gender, race) to influence career behaviors, confidencein one’s ability to do research (research self-efficacy), and the outcomes one expects from aresearch career (career self-efficacy). These factors, in turn, predict one’s initial or sustained Page 25.932.3interest in a