Conference Session

SE Tools and Techniques

Collection

2011 ASEE Annual Conference & Exposition

Authors

Jeff Ringenberg, University of Michigan; Marcial Lapp, University of Michigan; Apoorva Bansal, University of Michigan; Parth Shah, University of Michigan

Tagged Divisions

Software Engineering Constituent Committee

FormatTo facilitate the easy distribution and collection of the exam results, students took the examusing an online testing tool hosted inside a standard web browser. Only those students enrolledin the course were given access to the exam. Individual exam results were automaticallytabulated and sent to the course staff once each exam was completed. In addition, if a studentencountered a technical difficulty with the exam that prevented him/her from completing it, s/hewas given an opportunity to take it again and each attempt was logged separately. Fortunately,this only happened to a small number of students and there was no effect on the overall examresults.3.2 Testing SampleThe exam was initially given to a group of approximately 350 students in

Conference Session

Educational Research and Methods Division (ERM) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Maimuna Begum Kali, Florida International University; Syed Ali Kamal, University at Buffalo, The State University of New York; Matilde Luz Sanchez-Pena, University at Buffalo, The State University of New York

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

particular focus on their hidden identity, mental health, and wellbeing. Her work aims to enhance inclusivity and diversity in engineering education, contributing to the larger body of research in the field.Mr. Syed Ali Kamal, University at Buffalo, The State University of New York Syed Ali Kamal is a doctoral candidate in the Department of Engineering Education at University at Buffalo. His research interests lie in the area of diversity, equity and Inclusion, mental health and wellbeing.Matilde Luz Sanchez-Pena, University at Buffalo, The State University of New York Dr. Matilde S´anchez-Pe˜na is an assistant professor of Engineering Education at the University at Buffalo – SUNY where she leads the Diversity Assessment

Conference Session

NSF Grantees Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Anna-Lena Dicke, University of California, Irvine; Athena Wong, University of California, Irvine; David A. Copp, University of California, Irvine; Analia E. Rao, University of California, Irvine; Lorenzo Valdevit

Tagged Topics

Diversity, NSF Grantees Poster Session

negatively [5,6,7].Thus, more effective support for community college students transferring to four-yearinstitutions is needed to ensure their success [8]. One way to address this situation and secure thesuccess of transfer students is the creation of programs that provide institutionalized support totransfer students post-transfer. The NSF funded S-STEM scholarship programs are one exampleof such institutionalized support programs.They not only provide financial support to thestudents, but also have students engage in co-curriculum cohort activities including mentoring,academic advising, tutoring, social activities and career development activities [9].However, to develop the best support system possible, we need to have a clear understanding

Conference Session

Women in Engineering Division (WIED) Technical Session 7 - Multi-URM Perspectives

Collection

2024 ASEE Annual Conference & Exposition

Authors

Janne Mishanne Hall, Morgan State University; Temberlenn Donald Ashton Hall, Northwestern Oklahoma State University

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering Division (WIED)

inpsychological studies [22-26]. The continued curiosity in the theory of identity is attributed to thesignificance of understanding an individual in social settings and how they appear in society.Identity theory proposes individuals have several identities framed in hierarchal order. Commonly,identity is considered as categories used to establish the societal role for an individual. A coreobjective of identity theory is to indicate how the categories associated to an individual’s differentidentities are assigned and controlled during interactions. In the late 60’s Erik Erikson positedidentity formation essential to the development of an adolescent. Erikson’s framing of identityconsiders a process dually positioned in the core of an individual and

Conference Session

Mathematics Division (MATH) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Zenaida Aguirre Munoz Ph.D., University of California, Merced; Melissa Almeida, University of California, Merced; Comlan de Souza, California State University, Fresno; Keith Collins Thompson, University of California Merced; Khang Tran, California State University, Fresno; Yue Lei, University of California, Merced; Erica M Rutter, University of California, Merced; Lalita G Oka, California State University, Fresno; Maribel Viveros, University of California Merced; Bianca Estella Salazar, University of California, Merced; Changho Kim, University of California, Merced

Tagged Topics

Diversity

Tagged Divisions

Mathematics Division (MATH)

exercise of control. New York: W.H. Freeman.[3] Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53(1), 109-132.[4] Hackett, G. (1995). Self-efficacy in career choice and development. In A. Bandura (Ed.), Self- efficacy in changing societies (pp. 232-258). New York: Cambridge.[5] Rottinghaus, P. J., Larson, I. M., Borgen, F. H. (2003). The relation of self-efficacy and interests: A meta-analysis of 60 samples. Journal of Vocational Behavior, 62, 221-236.[6] Hidi, S., & Renninger, K. A. (2006a). The role of interest in learning and development. Annual Review of Psychology, 57(1), 517-540.[7] Hakkarainen, K., & Malmberg, J. (2004). Communities of networked expertise

Conference Session

Educational Research and Methods Division (ERM) Technical Session 23

Collection

2024 ASEE Annual Conference & Exposition

Authors

Talha Naqash, Utah State University, Logan ; Oenardi Lawanto, Utah State University; Zain ul Abideen, Utah State University; Angela Minichiello, Utah State University

Tagged Divisions

Educational Research and Methods Division (ERM)

the importance of recognizing issues and variationsin emotional responses, particularly in students facing math difficulties. They highlight the dynamicnature of these emotional states, which can significantly shift across diverse learning activities andinfluence the engagement level [37]. For example, negative emotions raise frustration levels whichcan be helpful during focused learning and problem–solving s but when the time constraint isinvolved, the same emotion can be the reason for a lower engagement level [1].The second research question focused on the specific emotions have researchers proposed aspotential indicators of deeper cognitive engagement in educational settings. When we are talkingabout specific emotional indicators

Conference Session

Mentoring Minorities: Effective Programs, Practices, and Perspectives

Collection

2014 ASEE Annual Conference & Exposition

Authors

Joi-Lynn Mondisa, Purdue University, West Lafayette

Tagged Divisions

Minorities in Engineering

. Page 24.899.10Bibliography1 National Science Foundation, N. S. B. Science and Engineering Indicators: Digest 2012. NSB 12-02. (National Science Foundation, 2012).2 Olson, S. & Riordan, D. G. Engage to Excel: Producing One Million Additional College Graduates with Degrees in Science, Technology, Engineering, and Mathematics. Report to the President. Executive Office of the President (2012).3 National Science Foundation, N. C. f. S. a. E. S. Women, Minorities, and Persons with Disabilities in Science and Engineering: 2013. Special Report NSF 13-304. Arlington, VA. Available at http://www.nsf.gov/statistics/wmpd/. (2013).4 Seymour, E. & Hewitt, N. M. Talking about leaving : why undergraduates leave

Conference Session

It Takes a Village: Engineering Beyond the Classroom

Collection

2013 ASEE Annual Conference & Exposition

Authors

Lorraine N. Fleming, Howard University; Inez N. Moore, Howard University; Dawn G. Williams, Howard University; Leonard Bernard Bliss; Kalynda Chivon Smith, Howard University

Tagged Divisions

Minorities in Engineering

on their specific andgeneral experiences. Onesection of the semi-structured interview that will be of focus in this particular study askedparticipants to describe and rate the value placed on specific social support. On a 10-pointLikert scale ranging from 1-10, participants are asked to rate the value placed on theeducational and career support from family, classmates, friends, and engineering faculty.Participants were also asked whether these groups provided support, and if so, what types ofsupport(s) they received.ResultsQuantitative Analysis: Survey Black and Hispanic engineering students‘ responses on the Engineering Fields Surveyprovided quantitative data to examine students‘ perceptions of social support and barriers

Collection

2024 ASEE Midwest Section Conference

Authors

Kimberly J. Cornett

that does not meet Provides evidence that s/he can s/he can actively listen or read benchmark (cell critically listen or read through a Articulates an understanding of through a lens of technical

Conference Session

Educational Research and Methods Division (ERM) Technical Session 13

Collection

2024 ASEE Annual Conference & Exposition

Authors

Greses Perez, Tufts University; Lise Clara Mabour, Tufts University; G. R. Marvez, Tufts University; Ymbar Isaias Polanco Pino, Tufts University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

]. • Honoring the language(s) and cultural practices of minoritized communities, recognizing how racialized ideologies shape engineering education [21]. Curriculum and students • Fostering cultural competencies and social justice through culturally responsive engineering curriculum [22], [23]. • Link between social and technical aspects [24] - [26]. Learning • Learning centered in students’ funds of knowledge Profession and education • Expanding pathways into engineering Broader issues, the • Contextualizing the work in

Conference Session

Homer's Handy Homework: STEM Adventures from Sofa to School, Mmm... STEM

Collection

2024 ASEE Annual Conference & Exposition

Authors

Amber Simpson, Binghamton University; Sawsan Werfelli, State University of New York at Binghamton

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

families and educators may serve as a useful approach.Lastly, while participants in this study spanned grade levels, gender, and ethnic social groups,future research may expand upon this sample to include a broader spectrum of demographicbackgrounds.AcknowledgementThis material is based upon work supported by the National Science Foundation under Grant No.1759314 (Binghamton University) and Grant No. 1759259 (Indiana University). Any opinions,findings, and conclusions or recommendations expressed in this material are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation.References[1] E. R. Banilower, P. S. Smith, K. A. Malzahn, C. L. Plumley, E. M. Gordon, and M. L. Hayes, Report of the 2018 NSSME

Conference Session

First-Year Programs Division Technical Session 8: Peers as Mentors & Instructors

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jill Davishahl, Western Washington University; Audrey Boklage, University of Texas at Austin

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs Division (FYP)

researchshould explore how to best support student peer mentors in their role in ways that help breakdown the cultural stereotypes that pervade the profession while supporting student agency andlearning in the space.Acknowledgement – This material is based upon work supported by the National ScienceFoundation S-STEM program under Grant No. 1834139. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the authors and do notnecessarily reflect the views of the National Science Foundation.References[1] K. Sheridan, E. Halverson, B. Litts, L. Brahms, L. Jacobs-Priebe and T. Owens, "Learning in the making: A comparative case study of three makerspaces.," Harvard Educational Review, vol. 84, no. 4505-531

Collection

2024 CIEC

Authors

Md. Ali Haider; Jody Alberd

, no. 1. 2020. doi: 10.1108/LHT-12-2018-0200.[2] K. C. Chen, “Machine-to-machine communications for healthcare,” Journal of Computing Science and Engineering, vol. 6, no. 2, 2012, doi: 10.5626/JCSE.2012.6.2.119.[3] Y. Hanada, L. Hsiao, and P. Levis, “Smart contracts for machine-to-machine communication: Possibilities and limitations,” in Proceedings - 2018 IEEE International Conference on Internet of Things and Intelligence System, IOTAIS 2018, 2019. doi: 10.1109/IOTAIS.2018.8600854.[4] R. Sudarmani, K. Venusamy, S. Sivaraman, P. Jayaraman, K. Suriyan, and M. Alagarsamy, “Machine to machine communication enabled internet of things: a review,” International Journal of Reconfigurable and Embedded Systems

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

Trevor Joseph Bihl, Wright State University; Terry Lynn Oroszi, Wright State University; Subhashini Ganapathy, Wright State University; Jeffrey B. Travers, Wright State University

Tagged Topics

Diversity

): Algorithm Details – do the authors name the machine learning method(s) used? Do they cite a quality paper for these method(s)? Do they discuss algorithmic settings? Example 1:“Linear discriminant analysis” has no algorithmic settings and means a specific function Example 2: “discriminant analysis” is unclear (i.e. there are many discriminant variants such as linear and quadratic) Example 3: Artificial neural networks have many settings (number of nodes, number of layers, types of nodes, training methods, architecture variant). All of these must be specified for repeatability Data Details – do the authors describe the source of the data or the collection means? Do they cite a source? Do they describe all data variables? Performance Result

Conference Session

Engineering Libraries Division (ELD) Technical Session 1: Engineering Librarianship

Collection

2023 ASEE Annual Conference & Exposition

Authors

Elizabeth C. Novosel, University of Colorado Boulder

Tagged Topics

Diversity

Tagged Divisions

Engineering Libraries Division (ELD)

Center for Applied Special Technology),Universal Design for Learning (UDL,) which is described on the CAST website as “a frameworkto improve and optimize teaching and learning for all people based on scientific insights intohow humans learn,” is heavily addressed in the scholarly literature. See the CAST website athttps://udlguidelines.cast.org/ for the basic outline of this method of accessible instruction. Asearch of UDL will result in many books, articles [54], and videos about using UDL principles aswell as challenges and critiques of the method.5See S. Burgstahler’s article, “Equal Access: Universal Design for Instruction” for a descriptionof UDI, which is a modification of UDL. Available at https://www.washington.edu/doit/equal-access

Conference Session

Student Division (STDT) Technical Session 4: Minoritized Student Experiences

Collection

2023 ASEE Annual Conference & Exposition

Authors

Micaha Dean Hughes, North Carolina State University, Raleigh; John Roberts, UK College of Engineering

Tagged Topics

Diversity

Tagged Divisions

Student Division (STDT)

to an over-representation of 104% (percent change) compared to anover-representation of whites by just 4.8% (percent change)” (p. 271). While this seems to be,and arguably is, problematic, as Pippert and colleagues point out, this could potentially be aresult of the aspirations of IHEs – by depicting greater diversity, more diverse students may wantto enroll, which will create more diverse campuses. To that notion, Gibbs [68] argues – and weagree – that “persuasive marketing” by IHEs is unethical, and that colleges should resistemploying such strategies.This concept of disingenuous marketing was reproduced in Henslee et al.’s 2017 mixed methodsstudy examining undergraduate, first-year student perceptions of the college viewbook at

Conference Session

Entrepreneurship & Engineering Innovation Division (ENT) Technical Session 5: Exploring and Re-Examining Ideas in Engineering Entrepreneurship and Innovation Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Sanjeev M. Kavale, Arizona State University; Alexandra Mary Jackson, Rowan University; Cheryl A. Bodnar, Rowan University; Samantha Ruth Brunhaver, Arizona State University; Adam R. Carberry, Arizona State University; Prateek Shekhar, New Jersey Institute of Technology

Tagged Divisions

Entrepreneurship & Engineering Innovation Division (ENT)

skill [23], perspective orway of thinking [24], [25], or compilation of skills and attitudes [26], [27]. Kuratko, Fisher, andAudretsch’s [28] study from a business context describes EM as consisting of three aspects:cognitive, behavioral, and emotional, positing that without all three working together, anindividual’s EM has not reached its fullest potential.The KEEN 3Cs framework captures multiple elements of EM, including motivations, skills, andoutcomes. London et al.’s [12] study developed a conceptual framework for the 3Cs that includesboth mindset outcomes (attitudes) and behavioral outcomes (actions). For example, Curiosity isassociated with the mindset outcome “willingness to challenge accepted solutions” (p. 7), andthe behavioral

Conference Session

Thinking Outside the STEM Box: Equity, Culture & Social Justice in Education Division Technical Session 1

Collection

2022 ASEE Annual Conference & Exposition

Authors

Jan Fertig, Milwaukee School of Engineering; Subha Kumpaty, Milwaukee School of Engineering

Paper ID #38050Empathy as Key to Inclusivity in Engineering EducationJan L. Fertig (Associate Professor) Dr. Jan Fertig is an associate professor in the Humanities, Social Science and Communication Department at the Milwaukee School of Engineering. She teaches a variety of courses in psychology and sociology, as well as a course in addictions. She serves as co-leader of the Team Science Module at the Clinical and Translational Science Institute of Southeast Wisconsin (CTSI) and Co-Principal Investigator with Dr. Subha Kumpaty of the NSF S-STEM grant which provides scholarships and activities to 20 diverse

Conference Session

Computing and Information Technology Division (CIT) Technical Session 7

Collection

2023 ASEE Annual Conference & Exposition

Authors

Sagnik Nath, University of California, Santa Cruz; Jennifer Quynn, University of California, Santa Cruz; Jose Renau

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology Division (CIT)

responsive teaching," Journal of teacher education, vol. 53, no. 2,pp. 106- 116, 2002.[02]R. T. White and R. F. Gunstone, "Metalearning and conceptual change," International Journal ofScience Education, vol. 11, no. 5, pp. 577-586, 1989.[03]D. Kuhn and S. Pearsall, "Developmental origins of scientific thinking," Journal of cognition andDevelopment, vol. 1, no. 1, pp. 113-129, 2000.[04]T. Litzinger, L. R. Lattuca, R. Hadgraft and W. Newstetter, "Engineering education and thedevelopment of expertise," Journal of Engineering Education, vol. 100, no. 1, pp. 123-150, 2011.[05]J. R. Frederiksen, M. Sipusic, M. Sherin and E. W. Wolfe, " Video portfolio assessment: Creating aframework for viewing the functions of teaching.," Educational Assessment, vol. 5

Conference Session

Engineering Communication I: History and Praxis

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Kathryn A. Neeley, University of Virginia; Michael Alley, Pennsylvania State University

Tagged Divisions

Liberal Education/Engineering & Society

could—nor are we supporting newcomers to engineering communication aswell as we could. The study reported here is a step in the direction of creating a network ofpeople interested in engineering communication across divisions of ASEE. We welcomecollaborators in this effort.References: Works We Directly Cited1. Allen, N., & Benninghoff, S. T. (2004, March 1). TPC Program Snapshots: Developing Curricula and Addressing Challenges. Technical Communication Quarterly, 13(2), 157 - 185.2. Bauer, D. H. (2020, June), WIP: Integrating Writing Throughout the Engineering Curriculum Paper presented at 2020 ASEE Virtual Annual Conference Content Access, Virtual On line . 10.18260/1-2--355483. Boettger, R.K., & Lam, C. (2013, December 1

Conference Session

K-12 Engineering Outreach Programs

Collection

2008 Annual Conference & Exposition

Authors

Susan Powers, Clarkson University; Bruce Brydges, SUNY Potsdam; Gail Gotham, SLL BOCES; James Carroll, Clarkson University; Peter Turner, Clarkson University; Douglas Bohl, Clarkson University

Tagged Divisions

K-12 & Pre-College Engineering

/4/470/7 in the classroom as STEM professionals. GE Foundation 03/02-03/05 $315 (#’s part of above) Included focus on increasing diversityK-12 Project-Based Learning NSF GK-12 Extended to include St. Lawrence Univ.; Focus on 07/04 – 06/09 $2,000 5/14/10/650/17Partnership Program (PBLP) Track 2 institutionalization NSF-OPP

Conference Session

ERM Technical Session 6: Technology-enhanced Instruction and Assessment

Collection

2019 ASEE Annual Conference & Exposition

Authors

Jessica Watkins, Vanderbilt University; Merredith D. Portsmore, Tufts University; Rebecca D. Swanson, Tufts University

Tagged Divisions

Educational Research and Methods

. 2001.[5] N. Cross, Designerly Ways of Knowing. London: Springer-Verlag, 2007.[6] D. Crismond and R. S. Adams, “A Scholarship of Integration : The Matrix of Informed Design,” J. Eng. Educ., vol. 101, no. 4, pp. 738–797, 2012.[7] S. R. Daly, R. S. Adams, and G. M. Bodner, “What Does it Mean to Design? A Qualitative Investigation of Design Professionals’ Experiences,” J. Eng. Educ., vol. 101, no. 2, pp. 187–219, 2012.[8] H. Wang, T. J. Moore, G. H. Roehrig, and M. S. Park, “STEM Integration : Teacher Perceptions and Practice STEM Integration : Teacher Perceptions and Practice,” J. Pre- 13 College Eng. Educ. Res., vol. 1

Conference Session

Makerspaces

Collection

2018 ASEE Annual Conference & Exposition

Authors

Foad Hamidi, University of Maryland, Baltimore County; William Easley, University of Maryland, Baltimore County; Stephanie Grimes, Digital Harbor Foundation; Shawn Grimes, Digital Harbor Foundation; Amy Hurst, University of Maryland, Baltimore County

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

quantitative assessment tools, including Grit-S and Alternative Uses Test (AUT),and qualitative assessment tools, including open portfolios and showcase presentations. Weanalyzed three years of survey data from 159 youth who participated in after-school learningprograms at our research site. We also conducted interviews with three adult program staffmembers who administered the different assessments and collected their observations andreflections about youth’s attitudes towards them. Through participant observation and a focusgroup with 8 youth employees, we studied attitudes towards self- and peer-reviews in aprofessional training program housed at the center. Studying assessment procedures and youth’sattitudes towards them in these different

Conference Session

Energy & Technology in Pre-College Engineering Education

Collection

2019 ASEE Annual Conference & Exposition

Authors

Matthew J. Traum, Engineer Inc.; Sharon Liz Karackattu, Oak Hall School

Tagged Divisions

Pre-College Engineering Education

section, student-customized rockets outperformedthe unmodified baseline vehicle.At the class’s conclusion, 79 students (out of 107 enrolled) completed a computerizedanonymous indirect survey to self-assess their attitudes about the course specifically andengineering in general as a result of the rocket project. Results were lackluster compared toexpectations based on similar s novel classroom lesson pedagogical studies previouslyconducted. Only 54.4% of students reported increased interest in the class over the semester.62.0% reported improved understanding of the rocket design process. 57.0% reported being ableto see interconnections between science, math, engineering, and technology as a result of thecourse. Despite these disappointing results

Conference Session

Student Learning, Problem Solving, & Critical Thinking 2

Collection

2014 ASEE Annual Conference & Exposition

Authors

Nathan M. Hicks, University of Florida; Amy Elizabeth Bumbaco, University of Florida; Elliot P. Douglas, University of Florida

Tagged Divisions

Educational Research and Methods

century. (National Academies Press, 2005).11. Arum, R. & Roksa, J. Academically Adrift: Limited Learning on College Campuses. (University of Chicago Press, 2011).12. Crabbe, N. Study: College students fail to think critically. The Chalkboard. (2011). at .13. Jaschik, S. “Academically Adrift” | Inside Higher Ed. High. Ed. (2011). at .14. Leef, G. No Work, All Play, Equals a Job? – Room for Debate. New York. (2011). at .15. Paul, R. The State of Critical Thinking Today. (2004). at .16. Mason, M. Critical thinking and learning. Educ. Philos. Theory 39, 339–349 (2007).17. Ennis, R. H. A taxonomy of critical thinking dispositions and abilities. (1987). at 18. French, J. N. & Rhoder, C. Teaching Thinking Skills: Theory

Conference Session

Engineering Identity 2

Collection

2013 ASEE Annual Conference & Exposition

Authors

Malinda Faber, The Friday Institute for Educational Innovation at North Carolina State University; Alana Unfried, North Carolina State University; Eric N. Wiebe, North Carolina State University; Jeni Corn, Friday Institute for Educational Innovation, NC State University; Latricia Walker Townsend; Tracey Louise Collins, North Carolina State University

Tagged Divisions

Educational Research and Methods

innovative STEM educationprograms designed in part to increase student attitudes toward STEM subjects and careers. Thispaper describes how a team of researchers at The Friday Institute for Educational Innovation atNorth Carolina State University developed the Upper Elementary School and Middle/HighSchool Student Attitudes toward STEM (S-STEM) Surveys to measure those attitudes. Thesurveys each consist of four, validated constructs which use Likert-scale items to measurestudent attitudes toward science, mathematics, engineering and technology, 21st century skills.The surveys also contain a comprehensive section measuring student interest in STEM careers.The surveys have been administered to over 10,000 fourth through twelfth grade students inNorth

Conference Session

Educational Research and Methods Division (ERM) Technical Session 12

Collection

2024 ASEE Annual Conference & Exposition

Authors

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

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

inattentive responders. The finalanalytical sample included 834 students. Participant gender identity, race/ethnicity, nationality,sexual identity, and disability status are reported in Table 1. Participants self-identified theirdemographics by selecting from categorical response options including write-in text options. Thesample is predominantly men (65%), and white (66%), which reflects the general populationcharacteristics among contemporary U. S. engineering undergraduates. Most participantsidentified as heterosexual/straight (88%) with 9% identifying as asexual, bisexual, gay, lesbian,pansexual, queer, or another sexual identity. Students reported a range of disabilities, withpsychological conditions predominating at 13% of the sample.Table 1

Collection

2022 Spring ASEE Middle Atlantic Section Conference

Authors

Kaitlyn Kreider, State University of New York at New Paltz; Kevin T. Shanley, State University of New York at New Paltz

used to power underwater vehicles for the military: due to theand T-s diagrams. The resulting power output matrix is two- low noise and low vibration of the engine, underwater dimensional: one dimension is an array of Revolutions Per Minute (RPM) values from 100 rpm to 1,000 rpm; the military vehicles will decrease their probability of being second dimension is an array of compression ratios. This detected by the enemy [4]. The reason for low noise is power output matrix is created by utilizing the Parametric because there is no combustion process inside the engine to tables in EES. The Nasa Ideal Gas Library within the EES exert gas pressure

Conference Session

NSF Grantees Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Karl Schubert, University of Arkansas; Xochitl Delgado Solorzano, University of Arkansas; Leslie Massey, University of Arkansas; Carol Gattis, University of Arkansas; Jennie Popp; Chunhua Cao, The University of Alabama; Thomas Carter, University of Arkansas; Divya Muralidhara, University of Arkansas

of Arkansas. She previously served as project manager at the Arkansas Water Resources Center, but returned to teaching full time in 2013. She teaches Introduction to Engineering I and II and and is the coordinator for the First-Year Honors Innovation Experience.Carol S Gattis (Associate Dean Emeritus) Dr. Carol Gattis is the Associate Dean Emeritus of the Honors College and Adjunct Associate Professor in Industrial Engineering. She has 30+ years of successful educational program design, development, and research relative to engineering and honors student recruitment, retention, diversity, international education, and course development. She has served as PI/co PI on four NSF S-STEM grants.Jennie Popp Jennie Popp

Conference Session

Military and Veterans Division Technical Session 1

Collection

2022 ASEE Annual Conference & Exposition

Authors

Hannah Wilkinson, Utah State University; Angela Minichiello, Utah State University