Asee peer logo
Displaying results 151 - 180 of 292 in total
Conference Session
Women in Engineering Division Technical Session 8
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Astrid K Northrup P.E., Northwest College, Powell WY; Andrea Carneal Burrows Borowczak, University of Wyoming
Tagged Topics
Diversity
Tagged Divisions
Women in Engineering
aspirations. Many of these factors can betraced to family origin and early childhood, not just to experiences in school. To this end, theliterature review in this paper explores gender-related factors relevant to females’ college majorchoices, including family influences, self-image and self-efficacy, perception of gender roles,students’ value systems, and outcome expectancies for attaining a college degree. Although several of these factors have been widely studied, and family of originconfiguration in relationship to college major has been studied in other countries (specificallyItaly), there is a gap in the literature for this relationship as concerns US students
Conference Session
Maker Spaces in Design Education
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Colton Daniel Brehm, Texas A&M University; Julie S. Linsey, Georgia Institute of Technology; Astrid Layton, Texas A&M University
Tagged Topics
Diversity
Tagged Divisions
Design in Engineering Education
pathway metaphor into an ecosystem. The ecosystemapproach suggests more complex aspects of a system be recognized by offering a holisticunderstanding of educational experiences [22]. Lord et al. argue that the ecosystem approachoffers insights into contextual factors such as multiple influential actors, gatekeepers, powerrelations, tacit knowledge, knowledge transmission, and disciplinary cultures. Much like thispaper, we plan to apply network analysis techniques to makerspaces to provide richer insights.A survey measuring student participation in makerspaces and students’ self-efficacy for designrelated tasks [23] was deployed at Georgia Tech. The results of the study showed that studentswho are voluntary involved (not class-related) in the
Conference Session
NSF Grantees: Diversity 2
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Jumoke 'Kemi' Ladeji-Osias, Morgan State University; Oludare Adegbola Owolabi P.E., Morgan State University; Krishna Bista, Morgan State University; Uttam Gaulee; Ayodeji B. Wemida, Morgan State University; Steve Efe, Morgan State University; Akinyele Oni, Morgan State University; Adedayo Ariyibi, Morgan State University; Caroline Gathigia Ndirangu, Morgan State University; Emmanuel Olamidotun Olanrewaju, Morgan state university; Seong Lee, Morgan State University; Oludayo Samuel Alamu, Morgan State University; Mehdi Shokouhian, Morgan State University; Sotonye Ikiriko, Morgan State University; Antony Kinyua, Morgan State University
Tagged Topics
Diversity, NSF Grantees Poster Session
selection of initial experiments toadapt, the modifications made, and resulting changes in the course delivery. Preliminary resultsusing measures of key constructs associated with student success, such as motivation,engineering identity, and self-efficacy are provided. This project is conducted at a historicallyblack college/university and most participants are from groups historically underrepresented inSTEM.IntroductionAccording to National Science Foundation data, African American students comprise 2% of theB.S. degree recipients in the geosciences, 2.6% in physics and 3.9% in engineering, while Blackscomprise 14.9% of the college-aged population [1]. Thus, there are opportunities to increase therepresentation of African American students in
Conference Session
ENT Division Technical Session: Creativity and Innovation
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Simon Jakob Barth, Stanford University; Sheri Sheppard, Stanford University; Shannon Katherine Gilmartin, Stanford University
Tagged Topics
Diversity
Tagged Divisions
Entrepreneurship & Engineering Innovation
-efficacy was analyzed regarding URM and FGC status [7]. Self-efficacy refers to anindividual’s belief and confidence about his or her ability “to organize and execute courses ofaction required to attain designated types of performances” [44]. Consequently, innovationself-efficacy does not measure realized behaviors but only one’s belief in the ability toperform these. Since EMS 1.0 was exclusively distributed to undergraduate engineeringstudents, actual behaviors as employees could not be determined. This earlier study does notfind any significant differences in innovation self-efficacy between people of URM or FGCstatus and the ones who are not part of these groups.Beyond these personal factors, this paper investigates differences in individual
Conference Session
Pre-college Engineering Education Division Technical Session 7
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Reagan Curtis, West Virginia University; Darran Cairns, University of Missouri - Kansas City; Johnna Bolyard, West Virginia University
Tagged Divisions
Pre-College Engineering Education
think it is important that students have learning opportunities to…Lead others to (11 items) accomplish a goal. Teacher Leadership I think it is important that teachers …Take responsibility for all students’ learning. Attitudes (6 items) STEM Career I know…About current STEM careers. Awareness (4 items)The Teacher Efficacy and Attitudes Toward STEM (T-STEM) Survey is intended to measurechanges in teachers’ confidence and self-efficacy in STEM subject content and teaching, use oftechnology in the classroom, 21st century learning skills, leadership attitudes, and STEM careerawareness [37]. The 63 items across 7 subscales utilize a 5 point Likert-type response formatwhere higher numbers indicate more positive
Conference Session
NSF Grantees: S-STEM 2
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Katherine Goodman, University of Colorado Denver; Stephanie S. Ivey, University of Memphis; Craig O. Stewart, University of Memphis; Shani O'Brien, University of Colorado Denver; Maryam Darbeheshti, University of Colorado Denver; William Schupbach, University of Colorado Denver; Karen D. Alfrey, Indiana University - Purdue University Indianapolis
Tagged Topics
Diversity, NSF Grantees Poster Session
engineering classes leading to a high probability of student success, and conduct formative and summative evaluations with special focus on determining effectiveness and impact of the project activities, strategies, and adjustments; 5. Conduct a research study that will focus on developing an evidence-based understanding of factors influencing development of STEM identity and the resulting impact on student success, attitudes, workforce readiness, and STEM self-efficacy, with particular attention to impact on first-generation and underrepresented students. 6. Conduct formative and summative evaluations of the project that explore the extent to which each objective is being met. A particular impetus will be
Conference Session
Developing Technological Literacy in Students
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Justin Lee Clough, University of Southern California; Patricia Chaffey, University of Southern California; Gautam Salhotra, University of Southern California; Colin G. Cess, University of Southern California; Rey Pocius, University of Southern California; Katie Mills, University of Southern California
Tagged Topics
Diversity
Tagged Divisions
Technological and Engineering Literacy/Philosophy of Engineering
practice between early elementary teachers, K-12 STEMCenter staff and Ph.D. student volunteers could boost in-service, inner city teacher ability andself-confidence to teach coding and introduce robots as authentic, real-world digital learningopportunities. Based on the teacher responses to surveys administered pre- and post-PD sessionsby an independent external evaluator, the results show this to be true.Overall, the first- and second-grade teachers who participated in the BOTS program held apositive perception of these activities, as measured in the surveys from the four PD sessions.These surveys show that teachers felt more confident in implementing the material in theclassroom and demonstrated improved self-efficacy navigating through Code.org
Conference Session
Work in Progress: Assessment, Evaluation and Hands-on Activities
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Justin F Shaffer, Colorado School of Mines; Jordan Lopez, Colorado School of Mines; Alexander Luther Ellis, Colorado School of Mines
Tagged Divisions
Chemical Engineering
study support this notion as only 10.0% of students’ comments noted that biology isuseful for their career.Future work on this project will involve analyzing the semantic differential scale data and alsorepeating the thematic analysis with other cohorts of students. Additional types of attitudestowards biology will also be explored, including utility value (and the other values involved withexpectancy value theory) and self-efficacy towards biology. This will be an important area toexplore because even though emotions do not seem to be the reason while anecdotallyengineering students may not be enjoying biology, these other psychological aspects couldpotentially explain this observation.References[1] I. Ajzen, "From intentions to actions: A
Conference Session
First-Year Programs: Retention & Bridge Programs #2
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Zahrasadat Alavi, California State University, Chico; Kathleen Meehan, California State University, Chico; Kevin Buffardi, California State University, Chico; Webster R. Johnson, California State University, Chico; Joseph Greene, California State University, Chico
Tagged Topics
Diversity
Tagged Divisions
First-Year Programs
• I am confident with Precalculus • I am confident with Calculus • I enjoy math • I can apply my math skills to computing and engineering projectsThe post-bootcamp survey included these same ratings so we could investigate potential changesin their attitudes. Fourteen (n=14) of the seventeen bootcamp participants (82%) completed bothsurveys and consented to include their data in our formative assessment. We performed aWilcoxon-Mann-Whitney test to compare pre- and post-bootcamp ratings to test the hypothesisthat the bootcamp would improve students’ self-efficacy. Table 1 shows the mean (M) andstandard deviation (sd) for each item’s rating, as well as the p-value of the hypothesis test.Overall, the average
Conference Session
Making Mechanics Courses Fun and More Effective
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Sarah Wodin-Schwartz P.E., Worcester Polytechnic Institute; Caitlin A. Keller, Worcester Polytechnic Institute; Kimberly Lechasseur, Worcester Polytechnic Institute
Tagged Divisions
Mechanics
was designed to assess improvements in studentlearning and self-efficacy for those participating in the redesigned Introduction to Statics course.Of the 90 students enrolled in the course, 61% (n=55) participated in with complete pre- andpost-course survey responses. Of participating students, 60% are underrepresented minoritystudents (with one or more of the following identities: women, non-binary gender, Black,Latinx). The remaining 40% are white men. At the time of taking the course, 78% ofparticipating students were in their second year of college, 14% were in their third year, and 8%were in their fourth year.Data were collected using a retrospective survey. The Student Assessment of their LearningGains (SALG) was administered at the end
Conference Session
Team Facilitation and Effectiveness
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
P.K. Imbrie, University of Cincinnati; Jutshi Agarwal, University of Cincinnati; Gibin Raju, University of Cincinnati
Tagged Divisions
Educational Research and Methods
skills require adequate and intentional planning beyond forming students into groups.Research indicates that the effects of TBL on student learning and self-efficacy of studentsduring TBL implementations can be contradictory. While student performances, measured withgrades, show higher or similar trends as traditional learning, perceptions and student attitudes ofTBL are often negative or mixed, as reported in the meta-analysis of effect of TBL by Swansonet. al. [12] In addition, faculty are facing challenges in evaluating teamwork skills and assessingeffective teams because of misconceptions about the aforementioned levels of teamwork and thelack of experience stemming from the history of traditional lecture classrooms. [17].According to
Conference Session
Pre-college Engineering Education Division Technical Session 10
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Kristin Maria Repchick, Industrial/Organizational Psychology Consultant; Lauren Q. DiBianca Frye, Forsyth Country Day School; Elise Barrella P.E., Wake Forest University
Tagged Divisions
Pre-College Engineering Education
challenges in childhood are not likely topossess the level of resilience they need to effectively deal with failures and setbacks [1].Resilience can be defined as the “process of, capacity for, or outcome of successful adaptationdespite challenging or threatening circumstances” [5]. Developmental researchers have arguedthat youth mainly develop resilience by successfully navigating and overcoming adversesituations [2]. Experiences resulting in successful adaptation can inspire confidence to overcomefuture challenges and equip students with resources on an individual level (e.g. psychologicalresources such as self-efficacy or adaptability [5]). These individual resources, consisting ofaptitudes, motivation and behaviors, are of key importance because
Conference Session
NSF Grantees: K-12 Session 2
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Bryce E. Hughes, Montana State University; Shannon D. Willoughby; Brock J. LaMeres, Montana State University; Barrett Frank, Montana State University; Elaine Marie Westbrook, Montana State University; Nick Lux, Montana State University
Tagged Topics
NSF Grantees Poster Session
poster.FundingThis project is funded by the National Science Foundation under Award XXX- XXXXXX. Anyopinions, findings, and conclusions or recommendations expressed in this material are those ofthe authors and do not necessarily reflect the views of the National Science Foundation.References[1] N. Veurink and A. Hamlin, "Spatial Visualization Skills: Impact on Confidence and Success in an Engineering Curriculum," presented at the 2011 ASEE Annual Conference & Exposition, Vancouver, BC, 2011. [Online]. Available: https://peer.asee.org/18591.[2] E. Towle, J. Mann, B. Kinsey, E. J. O. Brien, C. F. Bauer, and R. Champoux, "Assessing the self efficacy and spatial ability of engineering students from multiple disciplines," in
Conference Session
Cooperative and Experiential Education Division Technical Session 1 - Skill and Competency Development through the Co-op Experience
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Nassif E. Rayess, University of Detroit Mercy; David Pistrui, University of Detroit Mercy; Ron Bonnstetter, Target Training International; Eric T. Gehrig, Target Training International
Tagged Divisions
Cooperative and Experiential Education
personalities and psyches. Adding to the mix is thatmany programs have a required co-op rotation that adds an entire range of influences, many ofwhich are unforeseen and out of the control of the engineering programs.Co-op education has been shown to have numerous effects on students. Co-op education hasbeen shown to have an academic effect, with co-op students getting higher grades in somecourses, particularly in those based on soft skills [1]. Co-op education has also been shown tohelp in self-efficacy, particularly in work-related activities and has also shown to have a positiveeffect on retention [2]. Co-op education has also been shown to have a positive effect on startingsalaries (nearly 10%) [3]. The goal of this study is to gauge the effect of
Collection
2020 Gulf Southwest Section Conference
Authors
Cody Crosby; Anita Patrick; Margo Cousins; Laura Suggs; Mia Markey
. Cousins also coordinates the department’s National Science Foundation (NSF) Research Experiencefor Undergraduates (REU) Site BME CUReS Cancer weekly summer seminars. Her academic interests includeimplementing and measuring psychosocial interventions that have been demonstrated to improve success for targeted at-risk populations, such as social-belongingness, growth mindset, and self-efficacy. Ms. Cousins holds a Master of Arts inHigher, Adult, and Lifelong Education (HALE) from Michigan State University, and a Bachelor of Science in Biologyfrom Washington State University. Her work has been recognized through staff excellence awards in 2019, 2011, and2008, and the engineering outstanding first-year group facilitator award in 2017. She has worked
Conference Session
Engineering Physics and Physics Division Technical Session 1
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Calvin S. Kalman, Concordia University; Franco La Braca, Concordia University; Mandana Sobhanzadeh, Mount Royal University
Tagged Divisions
Engineering Physics and Physics
following research question and sub-questions: How does the experience of learning differ between labatorials and traditional labs? a. How do social interactions in the lab impact the student learning experience? b. What elements of labs play a role in providing a satisfying learning experience? c. In what ways do labatorials affect student perspectives on physics? d. In what ways does students’ self-efficacy evolve through physics labs? e. In what ways do labatorials and traditional labs differ in promoting the development of conceptual understanding? The mixed methods design involves concurrent qualitative and quantitative datacollection, which was integrated at the data interpretation phase of the research
Conference Session
Biomedical Engineering Curriculum and Design - June 24th
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Steven Higbee, Indiana University Purdue University, Indianapolis; Sharon Miller, Indiana University Purdue University, Indianapolis
Tagged Divisions
Biomedical Engineering
ourprogram. Moving forward, we aim to develop instruments or adapt published instruments thatmore objectively measure student self-efficacy toward design [19] for use in our program and,more generally, in the context of biomedical engineering education. Bandura proposes four mainsources of efficacy information: performance accomplishments, vicarious experience, verbalpersuasion, and physiological states [20]. We aim to contribute to an understanding of howstudent design confidence relates to such described mechanisms for changes in self-efficacy.AcknowledgmentsThe authors would like to thank the IUPUI Center for Teaching and Learning for their supportvia the Curriculum Enhancement Grant (CEG) and for moderating focus groups.References[1] J.E. Froyd
Conference Session
Experimentation and Laboratory-oriented Studies Division Technical Session 1
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Ahmet Can Sabuncu, Worcester Polytechnic Institute; John M. Sullivan Jr., Worcester Polytechnic Institute
Tagged Divisions
Experimentation and Laboratory-Oriented Studies
have introduced a new course:Online Project-Based Engineering Experimentation. The course is project-based and designed tooperate in both a blended format, online with classroom labs, and fully online.Recently the topic of project-based learning for first-year college experiences delineated how toincorporate project-based learning (PBL) into the classroom and curriculum [2]. Limiting thefield to engineering still involves numerous investigators. The work of Fini et. al. has quantifiedmuch of the PBL assessments in terms of self-efficacy, teamwork, and communication skills inthe civil engineering environment [3]. The work of Han et. al. on Hispanic students showed thatPBL had a significant impact on students who were not at risk, albeit the
Collection
AEE Journal
Authors
Katie Schneider; Amy Martin; Terri S. Hogue
distribution. These methods are applied here because they are not strongly affected by outli-ers (Helsel and Hirsch) and because the datasets are small. Another important consideration is thatthe sample of responses under question represent 100% of teacher participants for the 2017 and2018 WE2NG programs but represent only a small convenience-sample of STEM teachers in general.Thus, results of inferential statistical methods should be treated with caution when considering theirapplicability to the entire population of STEM teachers. RESULTS & DISCUSSIONPre- and Post-Program Surveys Prior studies have shown that self-efficacy in teachers is critical to both teacher and studentperformance (Doménech-Betoret, et
Conference Session
Minorities in Engineering Division Technical Session 8
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Claire Duggan, Northeastern University; Rachelle Reisberg, Northeastern University; Richard R. Harris, Northeastern University; Brad Lehman; Russell Faux; Luis Rafael Frias II
Tagged Topics
Diversity
Tagged Divisions
Minorities in Engineering
are beginning to identify success outside of traditional academic metrics. A holistic integrated approach to the recruitment, selection, and support of transfer students into engineering is essential to ensure academic and career success. The theoretical framework of Bandura’s Self-Efficacy model, along with the implementation of Chickering’s Student Development Theory [2] have shown to be meaningful and impactful theoretical touchpoints throughout this process. Introduction The model utilized at Northeastern University prior to and during the invited student’s undergraduate experience includes but is not limited to the following: • Pre-enrollment: pre-transfer identification, two-way institutional visits, cross-institutional peer-to-peer
Conference Session
Experimentation and Laboratory-oriented Studies Division Technical Session 2
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Jing Zhang, Indiana University Purdue University, Indianapolis; Glorio Singui, Indiana University - Purdue University Indianapolis; Shambhuraj Hansraj Wadghule; Chauncey Eugene Frend; Tejesh Charles Dube, Indiana University Purdue University, Indianapolis; Michael Golub, Indiana University Purdue University, Indianapolis
Tagged Divisions
Experimentation and Laboratory-Oriented Studies
keyobjectives throughout the primary module content. The pre-survey includes technical questionsand basic demographic questions including GPA and number of Internet courses taken andquestions designed to better understand student self-efficacy toward computer and VR use. Theassessment and evaluation methods based on the objectives are summarized in Table 1 below. Table 1: Summary of assessment & evaluation methods and of their effectiveness Objectives Assessment and evaluation Indication of effectiveness of methods the assessment/evaluation 1. Development of a series of Monthly collaborative Functioning VR modules; VR modules for AM process
Conference Session
Learnin' Lessons about Faculty Development
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Daniel Galvan, California State University, Los Angeles; Jianyu Jane Dong, California State University, Los Angeles; Lizabeth L Thompson P.E., California Polytechnic State University, San Luis Obispo; Emily L. Allen, California State University, Los Angeles
Tagged Topics
Diversity
Tagged Divisions
Faculty Development Division
encountermultiple barriers that prevent them from achieving their academic goals. Although they oftenhave good intentions to help students succeed, faculty often attribute the academic barriers to thestudents’ lack of preparation, motivation, or effort to learn. Research studies [1] showed that thisdeficit mindset of instructors negatively impacts the students’ self-efficacy and hinders theiracademic growth. A recent report from the National Academies [2] highlighted the need to createa learner-centered culture that “meets students where they are.” This raises an important yetchallenging question for faculty development: “What can be done to help transform facultyperception to achieve such cultural change?”As a Very High-enrolled Hispanic Serving
Conference Session
Relationships Between Skills and Knowledge Domains
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Ryan H. Koontz, South Dakota School of Mines and Technology; Daniel F. Dolan, South Dakota School of Mines and Technology; Kimberly Karen Osberg, South Dakota School of Mines and Technology
Tagged Divisions
Liberal Education/Engineering & Society
to obtain a measure of EI, an example being the Emotional Knowledge Test [8] and theMayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT) [9], [10].The mixed model approach is coined because the assessment includes non-ability measures andintelligent behaviors [6], [11], [12], [13]. These types of mixed approaches work to evaluateconcepts such as emotional perception but then add in scales such as happiness and stresstolerance [6].Pérez [14] defines the difference in emotional intelligence not by the approach of the model butby the distinction of concept. This concept leads to trait EI, also known as emotional self-efficacy and ability EI, also known as cognitive-emotional ability. Pérez argues that thedifference between mixed and
Conference Session
EMD 2: Issues in Engineering Management Education
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Elizabeth Hart, University of Dayton; Andrea Mott, University of Dayton; Sandra L. Furterer, University of Dayton
Tagged Topics
Diversity
Tagged Divisions
Engineering Management
men, and their opinionshould matter for products and services developed by engineers, scientists, mathematicians, etc.Women make up about 50% of university students across the United States and only 13 to 33%of those students hold a bachelor’s or master’s degree in STEM, with the lowest percentage inengineering degrees [2].Lack of Confidence of Women in STEM Academic Programs:Since many female students struggle with lack of confidence in STEM, studies have beencompleted analyzing female’s perspectives on their courses and experiences compared to theirmale counterparts. A study revealed that women showed lower perceived ability, self-efficacy,performance approach, and mastery approach than men, along with a higher performanceavoidance and
Conference Session
ENT Division Technical Session: Creativity and Innovation
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Mona Eskandari, University of California, Riverside; Ville Mikael Taajamaa, City of Espoo; Barbara A. Karanian, Stanford University
Tagged Topics
Diversity
Tagged Divisions
Entrepreneurship & Engineering Innovation
Transitions: Students Draw Their Futures. In Proceedings of the Frontiers in Education Conference. October, Tempe, Arizona, October, 1999.[18] McClelland, D. C., & Boyatzis, R. E. Leadership motive pattern and long-term success in management, Journal of Applied Psychology, 67, 1982, pp 737-743.[19] McClelland, D., Power: the inner experience. Van Nostrand: New York, 1964.[20] Schar, M. Chen, H., Sheppard, S. Innovation Self-Efficacy: A Very Brief Measure for Engineering Students. ASEE Proceedings and Conference, Indianapolis, Indiana. June. 2017.[21] Smith, K. et al. Connecting and expanding the engineering education research and innovation special session. FIE, Oct. 2011.[22] Taylor, S. & Karanian, B. Working Connection
Conference Session
Computing and Information Technology Division Technical Session 3
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Margaret Ellis, Virginia Tech; Catherine T. Amelink, Virginia Tech; Stephen H. Edwards, Virginia Tech; Clifford A. Shaffer, Virginia Tech
Tagged Topics
Diversity
Tagged Divisions
Computing and Information Technology
movesFigure 1: List of common problem-solving heuristics referenced in Problem Solving in ComputerScience courseStudents reported feeling intimidated, needing to teach themselves material required for courses,and that there was distance between students who had computing as a hobby and those who didnot 2 . Students identified tinkering and previous experience as an important part of feelingsuccessful in computer science. We are motivated to build students’ confidence and help thempersist in the field. We are inspired by previous work demonstrating that students’ sense of CSidentity, belonging, and self-efficacy is correlated with success 39,23,24 , and that tinkering andskill-building can improve these feelings 38 . We consider students’ comfort in a
Conference Session
Women in Engineering Division Technical Session 5
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Andrea Nana Ofori-Boadu, North Carolina A&T State University; Victor Ofori-Boadu, Penuel Consult Inc.; Jacob Randall Vanderpool, North Carolina Agricultural and Technical State University; Dongyang Deng, North Carolina Agricultural and Technical State University
Tagged Topics
Diversity
Tagged Divisions
Women in Engineering
, “ProfessionalIdentity Formation and Development in HBCU Construction,” Proceedings of the 2019American Society for Engineering Education (ASEE) conference, Tampa, Florida, USA, June 16– 19, 2019, 2019, pp. 1-16.A. N. Ofori-Boadu, D. Deng, C. Stevens, K. Gore, and I. Borders-Taylor, “Learning Experiencesand Self-efficacy of Minority Middle-School Girls during a ‘Bio-char Modified Cement Paste’Research Program at an HBCU,” Proceedings of the 2019 American Society for EngineeringEducation (ASEE) conference, Tampa, Florida, USA, June 16 – 19, 2019, 2019, pp. 1-16.A. N. Ofori-Boadu, R. B. Pyle, I. Borders-Taylor, C. Bock-Hyeng, and T. Graham, “AdvancingHBCU Students’ Interests in Residential Construction Careers through an NAHB program: AnIndustry-University
Conference Session
Student Division Technical Session 3
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Jeong Hin Chin, University of Michigan; Yuan Gao, University of Michigan; Herbert Li, University of Michigan; Magel P. Su, California Institute of Technology; Robin Fowler, University of Michigan
Tagged Divisions
Student
be a powerful tool for increasing self-efficacy and experience by allowingstudents to define their own roles on teams. However, despite the literature supportingteam-based learning, it is not a universally positive experience for all students, particularly incases where team difficulties may intensify pre-existing inequities in the classroom. Becausestudents composing a team can come from vastly different academic backgrounds with differentlevels of experience with engineering, a team’s overall performance may be linked to theperformance of students on individual assignments.In this paper, we investigate how individual student performance is related to overall studentteam performance in a first-year engineering design-build-test-communicate
Conference Session
Computers in Education Division Technical Session 8: Modulus Topics
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Safia Malallah, Kansas State University; Joshua Levi Weese, Kansas State University
Tagged Divisions
Computers in Education
- and post-self-efficacy surveys by Weese and Feldhausen [18], containing10 CT concepts (ALG, CON, DEC, IAI, USE, TAD, DAT, ABS, PAR, QUE). Instrument 3observed engagement and body language of the instructors and how concepts were deliveredthrough each session. Using a rubric based on Dr. Edward Desmarais’s presentationassessment rubric, using evaluation methods and the nine principles of good practice forassessing student learning [25]Storyboard-treeA storyboard tree is a technique to construct a MM by associate information based on amemorable story, promoting retrieval within the flow of a story. The idea of chaining theinformation as a story adopted from chain association method [2].Figure 1 presents a high-level overview of the primary
Conference Session
Systems Engineering Division Technical Session 2
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Morteza Nagahi, Mississippi State University; Raed Jaradat, Mississippi State University; Samaneh Davarzani, Mississippi State University; Mohammad Nagahisarchoghaei, University of North Carolina at Charlotte; Simon R. Goerger, U.S. Army Engineer Research and Development Center
Tagged Divisions
Systems Engineering
, and demographic characteristics, in conjunction with ST skills and PP, might influence the academic performance of engineering students. All the mentioned measures and scales, including the Big five personality instrument, motivation, self-efficacy, time management, and demographic characteristics, as well as the current study variables, which are part of the comprehensive theoretical model of a bigger study, will be used for future data collection and analysis. Moreover, it would be beneficial to compare the predictive validity of ST skills and PP to other well-known predictors of academic performance. Future studies would also include the type of training needed to enhance students' level of systems skills based on