Conference Session

Research on Diversity, Equity, and Inclusion

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Dina Verdin, Arizona State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

, played into the meritocratic game to prove that she could solve difficult equationseasily and thus was a “good engineer.” Yet, her approach was common, as Seron et al. [19] hasdocumented that the culture of engineering reproduces a particular way of being, in that itsocializes women into believing that raising concerns about marginalization is “tangential … towhat counts as the “real” practical and objective work of engineers” [p. 4]. At the end of the fourthinterview, Kitatoi’s reflection of what constituted a “good engineer” was filled with resentment,while she received a B in her statics class, the image of who belonged in engineering left anunpleasant feeling, stating, I think it’s really messed up. I think a lot of the times tambien

Conference Session

Electrical and Computer Division Technical Session 4

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Steven M. Beyer, United States Air Force Academy; Brian James Neff, United States Air Force Academy

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer

-shelf motor driverboard (TB6612FNG Dual Motor Driver Carrier). The complete circuit diagram for the PCB isavailable in Appendix A. Figure 5: 3D Model of the motor controller and power distribution board. Next, students use additive manufacturing and modeling to design the robot body andbuild the robot. The body is fully customizable, but templates are provided as a starting point.Several off-the-shelf components (motors, nuts, bolts, switches, etc.) are integrated to the body tocreate the robot. The students must wire their PCB to the different systems before completing therobot per the robot circuit diagram provided in Figure 6. A picture of a student’s µSAFABOTmid-build is provided in Figure 7. Appendix B provides models for

Conference Session

Mathematics Division Technical Session 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Patricia A. Ralston, University of Louisville; Campbell R. Bego, University of Louisville

Tagged Topics

Diversity

Tagged Divisions

Mathematics

and stored in the longitudinal database. (a) (b)Figure 1: A representative question used for formative assessment at the beginning of class in Calculus Ifor engineering students as seen by (a) the instructor, and (b) the student.Data analysisWe first used descriptive statistics to evaluate learner perceptions of usability, engagement, and learningusing responses to the CRiSP questionnaire. We then compared perceptions across genders and socio-economic status using statistical analyses of variance (ANOVAs). Although it is possible to test meandifferences with t-tests, ANOVAs are more robust to normality violations such as kurtosis and skew. ResultsDescriptive

Conference Session

Computers in Education 7 - Modulus 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Joseph Maloba Makokha, Stanford University

Tagged Divisions

Computers in Education

America's AUGMENT D. B. Neill[47] healthcare system - from disease detection to building predictive models for treatment - thereby improving the quality and lowering the cost of patient care. The broad use of machine learning makes it important to understand REPLACE Sharif, M., the extent to which machine-learning algorithms are subject to Bhagavatula, S., attack, particularly when used in applications where physical Bauer, L., & security or safety is at risk. We investigate a novel class of attacks on Reiter, M. K.[48] facial biometric systems: attacks that are physically realizable and inconspicuous, that allow an attacker to evade recognition or

Conference Session

First-Year Programs Division Poster Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Aamir Fidai, Texas A&M University; Samiha Momin; Asma Salim Maredia, Texas A&M University; Insha Ashirali Umatiya

Tagged Divisions

First-Year Programs

. To achievethis goal we conducted a meta-analysis [16] [17] of quantitative studies that were publishedbetween 2000 and 2020. In this work-in-progress meta-analysis we present the preliminaryfinding from the analysis of the studies that were published between 2017 and 2020.Research Question This work-in-progress meta-analysis was guided by the following research question: DoArduino-enabled interventions improve student’s academic achievement in first-year engineeringcourses?Inclusion Criteria We only included those studies in this meta-analysis that a) were published between 2000and 2020; b) were in English language; c) were set in first-year engineering coursework; d)focused on the use of Arduino as an intervention to improve

Conference Session

Pre-College Engineering Education Division Technical Session 3

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Elena Nicolescu Veety, North Carolina State University at Raleigh; James Edward Lamberth III, Enloe High School; Evelyn L. Baldwin, Wake STEM Early College High School

Tagged Divisions

Pre-College Engineering Education

virtual poster, a 3 to 5-minutevideo demonstration of their working device, present their project live on Zoom, and engage inan interactive Q&A session with program faculty. A few examples of student work are shown inFigure 1.(a) (b) (c) (d)Figure 1: Examples of student wearable device prototypes: (a) Sleep quality monitoring pillow, (b) Safety garmentfor bikers with turn and stop signals, (c) Heat exhaustion monitoring wristband with pulse, body temperature, andambient temperature, and (d) COVID-19 safety device including 6-foot distance alert as well as temperature andpulse monitoring.Challenges and Lessons Learned – Transitioning from in-person to virtual

Conference Session

First-Year Programs: Virtual Instruction in the First Year III

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Chao Wang, Arizona State University

Tagged Divisions

First-Year Programs

significantdifference in satisfying student’s psychological need of relatedness between the 2019 and 2020course formats, students overwhelmingly prefer in-person labs over virtual labs due to the socialinteraction and readily available tools and supplies, and they feel they could have gained morefrom in-person labs. This is consistent with the findings in [7]. Although one would expectcourses go back to the normal face-to-face mode after the pandemic, nonetheless, there is still aneed to find ways to improve student’s virtual project learning experience to benefit future onlinestudents.References[1] R. M. Marra, B. Palmer, and T. A. Litzinger, “The effects of a first‐year engineering design courseon student intellectual development as measured by the Perry

Conference Session

Faculty Development 4: COVID-19's Impact on Students

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Sreyoshi Bhaduri, McGraw Hill ; Lilianny Virguez, University of Florida; Debarati Basu, University of North Carolina at Charlotte; Michelle Soledad, Ohio State University

Tagged Topics

Diversity

Tagged Divisions

Faculty Development Division

Through University web pages: Implications for a more inclusive communityAbstractThis qualitative study investigates web pages documenting COVID-19 responses from 28universities across the United States. Using grounded theory methodology, we inductivelydeveloped a model of universities' response to the pandemic. Four types of strategies wereidentified from the data and a theoretical model was developed describing (a) causal conditionsthat underlie the strategies for response to the pandemic, (b) the context that influenced thestrategies adopted by the universities, (c) intervening conditions due to the pandemic thatinfluenced strategy development, and (d) potential recommendations to make

Conference Session

Working Together: Approaches to Inclusivity and Interdisciplinarity

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Pedro E. Arce, Tennessee Technological University; Andrea Arce-Trigatti, Tallahassee Community College; Stephanie Jorgensen; Robby Sanders, Tennessee Technological University

Tagged Topics

Diversity

Tagged Divisions

New Engineering Educators

-by-step procedure is completed but not exclusionaryof the iterative and cyclical nature of problem solving and prototype development), and thedevelopment of a prototype of innovative technology (PIT) [1]. Specifically, as an innovation-driven learning platform, the Foundry provides an iterative framework through whichresearcher/user teams identify a societal challenge for innovation (Figure 3, element 1). Engagingin this platform, researchers will progress leveraging the two pistons – i.e., in Figure 3, KnowledgeAcquisition (A) and Knowledge Transfer (B) – to develop a PIT (Figure 3, element 6) thataddresses the identified challenge. To note, this model has been elaborated upon in variousscholarship related to engineering education and is

Conference Session

Graduate Studies Division Technical Session 4

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Thomas L. Acker, Northern Arizona University; Nena E. Bloom, Northern Arizona University

Tagged Topics

Diversity

Tagged Divisions

Graduate Studies

Paper ID #33173The Rapid Model: Initial Results From Testing a Model to Set Up aCourse-Sharing Consortia for STEM Programs at the Graduate LevelDr. Thomas L. Acker, Northern Arizona University Dr. Tom Acker is a Professor of Mechanical Engineering at Northern Arizona University, where he has been since 1996. He holds a Ph.D. in Mechanical Engineering from Colorado State University. His duties include teaching and performing research related to energy systems, power system modeling, renewable energy, thermodynamics, and fluid mechanics. His research in wind energy relates to and wind flow modeling for distributed wind

Conference Session

Student Division Technical Session 4

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Pearl Elizabeth Ortega-Darwin, Texas A&M University; Kristi J. Shryock, Texas A&M University

Tagged Divisions

Student

calculus and physics subjects as we make changes according to the material that isavailable on the software. Currently, the platform we are using does not offer adaptive testing forthe higher level maths that the department and students are requesting, so next steps are to workwith a team that can accommodate the necessary changes. We also intend to distribute a pre andpost survey to the participants to gather feedback regarding the usefulness of the assessment.REFERENCESBowen, B., Wilkins, J., & Ernst, J. (2019). How calculus eligibility and at-risk status relate tograduation rate in engineering degree programs. Journal of STEM Education, 19(5).Geisinger, B. N., & Raman, D. R. (2013). Why they leave: Understanding student attrition

Conference Session

Mechanical Engineering Division Poster Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Ma Muktadir, North Carolina A&T State University; Sun Yi, North Carolina A&T State University

Tagged Divisions

Mechanical Engineering

. ML Output (new data Input (Data) (algorithm) prediction) Figure 1: Flowchart of ML.The main difference between supervised and unsupervised ML is input date. In supervisedlearning, input data are labeled before the algorithm works, for example, for a set of imageslabeled as rough surface and smooth surface. In contrast, an unsupervised learning algorithmdoes the jobs, which means input data remain unlabeled. In this study, supervised ML has beenused with the PointNet Neural Network [12].b. Defect detection with pointnet neural network [12]Researchers are transforming the 3D images into the Point

Conference Session

Mathematics Division Technical Session 3

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Luke A. Duncan, Clemson University; Karen A. High, Clemson University; D. Matthew Boyer, Clemson University; Liz McKinley, Clemson University

Tagged Divisions

Mathematics

. [5] D. E. Lee, G. Parker, M. E. Ward, R. A. Styron, and K. Shelley, “Katrina and the Schools of Mississippi: An Examination of Emergency and Disaster Preparedness,” J. Educ. Students Placed Risk​, vol. 13, no. 2–3, pp. 318–334, 2008. [6] W. C. Chen, A. S. Huang, J. H. Chuang, C. C. Chiu, and H. S. Kuo, “Social and economic impact of school closure resulting from pandemic influenza A/H1N1,” ​J. Infect.,​ vol. 62, no. 3, pp. 200–203, 2011. [7] D. J. D. Earn, D. He, M. B. Loeb, K. Fonseca, B. E. Lee, and J. Dushoff, “Effects of school closure on incidence of pandemic influenza in Alberta, Canada,” ​Ann. Intern. Med.,​ vol. 156, no. 3, pp. 173–181, 2012

Conference Session

Faculty Development Lighting Talk Session 1: COVID-19 Focus

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Lance Leon Allen White, Texas A&M University; Donna Jaison, Texas A&M University; Samantha Ray, Texas A&M University; Kelly Brumbelow, Texas A&M University; Sherecce Fields, Texas A&M University; Luciana R. Barroso, Texas A&M University; Karan Watson P.E., Texas A&M University; Tracy Anne Hammond, Texas A&M University

Tagged Divisions

Faculty Development Division

Distant Education Resources, 2020. [2] T. Hammond, K. Watson, K. Brumbelow, S. Fields, K. Shryock, J.-F. Chamberland, L. Barosso, M. de Miranda, M. Johnson, G. Alexander, M. D. Childs, S. Ray, L. White, J. Cherian, A. Dunn, and B. Herbert, “A survey to measure the effects of forced transition to 100% online learning on community sharing, feelings of social isolation, equity, resilience, and learning content during the covid-19 pandemic,” Texas A&M University, Tech. Rep., 2020. [Online]. Available: http://hdl.handle.net/1969.1/187835 [3] J. M. Corbin and A. Strauss, “Grounded theory research: Procedures, canons, and evaluative criteria,” Qualitative sociology, vol. 13, no. 1, pp. 3–21, 1990. [4] B. G. Glaser, Basics of

Conference Session

Assessing Hard-to-Measure Constructs in Engineering Education: Assessment Design and Validation Studies

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Donna Jaison, Texas A&M University; Hillary E. Merzdorf, Purdue University, West Lafayette; Blake Williford, Sketch Recognition Lab; Lance Leon Allen White, Texas A&M University; Karan Watson P.E., Texas A&M University; Kerrie A. Douglas, Purdue University, West Lafayette; Tracy Anne Hammond, Texas A&M University

Tagged Divisions

Educational Research and Methods

artsand communication university students towards science literacy activities and applications. Sahen-dra linked mathematical self-efficacy with representation during mathematics problem-solving andfound that high self-efficacy students were more likely to use strategies requiring multiple repre-sentations, and reference those representation when verifying their solutions [17]. In engineering,Lent et al. [14] measured self-efficacy of succeeding in engineering courses as (a) completing basicscience and math requirements with good grades, (b) excelling in upcoming semesters and years,and (c) completing required upper-level courses for the degree. Carberry et al. [18] developedan instrument for measuring engineering design self-efficacy. It asked

Conference Session

Innovative and Impactful Engineering Leadership Pedagogy

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Seth C. Sullivan, Texas A&M University; Maria Polyzoi, Texas A&M University

Tagged Divisions

Engineering Leadership Development

: A Developmental Approach. San Francisco: John Wiley & Sons, Inc. 2012.[4] W. Courville, “Mapping the Terrain: An Overview of Professional Coaching,” in On Becoming a Leadership Coach: A Holistic Approach to Coaching Excellence. C. Wahl, C. Scribner, and B. Bloomfield, Ed. New York: Palgrave Macmillan, 2013, pp. 13-29.[5] R. Boyatzis, M. Smith, and E. Van Oosten, Helping People Change: Coaching with Compassion for Lifelong Learning and Growth. Boston: Harvard Business Review Press, 2019.[6] R. Fields, “Students’ perceptions of an executive coaching intervention: a case study of an enabling education programme” Coaching: An International Journal Theory, Research and Practice, vol. 11, no. 2, pp

Conference Session

Studies of Shifting In-person Courses to Online and Students' Online Behavior

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Jaskirat Singh Batra, Texas A&M University; Sunay Palsole, Texas A&M University

Tagged Divisions

Educational Research and Methods

Bandura is used as the theoretical foundation for this study. It incorporatesthe elements of behavioral and the cognitive aspects of learning such as attention, motivation,and memory functions [13-14]. According to this theory, the learning outcomes depend on threefactors:(a) personal factors: internal cognitive factors based on knowledge and attitude(b) behavioral factors: outcome expectations influenced by observable behavior in others(c) environmental factors: social norms, community access, social support, and barriers The social cognitive theory was applied to this study to explain the relationship between anindividual student, the peers or instructor/TA, and the learning environment. A visual illustrationmodeling this relationship is

Conference Session

Women in Engineering Division Technical Session 6

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Sara Amani, Texas A&M University; Ebtihal Mohamed Youssef, Texas A&M University at Qatar; Rand Yehia Alagha, Texas A&M University at Qatar; Sara Hillman, Texas A&M University at Qatar; Annie Ruimi, Texas A&M University at Qatar

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

Eibenschutz, S. M. A. Awadh, L. and El Said,“Being female and an engineering student in Qatar: Successes, challenges, andrecommendations, ASEE 2017 Annual Conference & Exposition, Columbus, OH, June 25-28,2017. [Online]. Available: https://peer.asee.org/being-female-and-an-engineering-student-in-qatar-successes-challenges-and-recommendations (Accessed March 5, 2021].[11] M.S. Alsheeb and A. Hodges, “The impact of socio-cultural factors in Qatar on females inengineering, ASEE 2019 Annual Conference & Exposition, Tampa, FL, June 15-19, 2017.[Online]. Available: https://peer.asee.org/the-impact-of-socio-cultural-factors-in-qatar-on-females-in-engineering (Accessed March 5, 2021].[12] C. Seron, S. S. Silbey, E. Cech, and B. Rubineau, “Persistence

Conference Session

First-Year Programs Division Poster Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Matthew Lucian Alexander P.E., Texas A&M University-Kingsville; Breanna Michelle Weir Bailey P.E., Texas A&M University-Kingsville; Rajashekar Reddy Mogiligidda, Texas A&M University-Kingsville; Mahesh Hosur, Texas A&M University-Kingsville; David Hicks, Texas A&M University-Kingsville; Michael Preuss, Exquiri Consulting, LLC

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

expressed in this material are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation.References1. Khasawneh, M., Bachnak, R., Goonatilake, R., Lin, R., Biswas, P., Maldonado, S.C.,(2014) “Promoting STEM Education and Careers among Hispanics and Other Minorities throughPrograms, Enrichment, and other Activities.” ASEE Annual Conference and Exposition,Conference Proceedings, 2014.2. Martinez, D., Jacks, J., Jones, D., Faulkner, B. (2010). “Work In Progress – RecruitingInitiatives for Hispanic, First-Generation Students.” 40th ASEE/IEEE Frontiers in EducationConference, 2010.3. Enriquez, A., Langhoff, N., Dunmire, E., Rebold, T., Pong, W. (2018). “Strategies forDeveloping, Expanding, and

Conference Session

MASS: Mastery, Assessment and Success of Students

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Amie Baisley, University of Florida; Keith D. Hjelmstad, Arizona State University

Tagged Divisions

Mechanics

and problem setup B. Solution strategy A.2. Initial conditions A.2. Boundary conditions C. Problem geometry A.3. Modeling and constraints A.3. Kinematics D. Free body diagrams B. Describe position vector C. Free body diagram E. Force equilibrium C. Compute velocity and accel. E.1. Force equilibrium F. Moment equilibrium D. Free body diagrams E.2. Moment equilibrium G. Distributed effects E.1. Balance linear momentum F. Strain-displacement relationships H. Solution process E.2. Balance angular momentum G.1. Constitutive equations I. Internal

Conference Session

Electrical and Computer Division Technical Session 9

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Curt Schurgers, University of California, San Diego; Yousol Bae, Scripps Ranch High School; Eugene Han Lee, Canyon Crest Academy High School; Che Nevarez, Sweetwater Union High School District; Pamela Cosman, University of California, San Diego

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer

code of 7 bits per ship (6 bits for the rowand column of the ship’s upper left square, plus one bit to saywhether the remainder of the ship lies below or to the right). Students discussed whatinformation needs to be established between the communicating parties in advance, in addition tothe basic mapping (000=A, 001=B, etc.). For example, the 64-bit message requires agreement onthe raster scan order, and the 21-bit code requires agreement on the ship order (e.g., longest toshortest).Next, modulation was introduced as a mappingfrom individual bits or groups of bits in the sourceencoded message to transmission symbols. Theinstructor showed transmission with a flashlight;each wave (ON or OFF) conveys one source bit asone transmission symbol. With

Conference Session

Pre-College Engineering Education Division Technical Session 14

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

J. Jill Rogers, The University of Arizona; Lelli Van Den Einde, University of California, San Diego; Melissa Wendell, Tempe Union High School District - Mountain Pointe High School (ENGR102HS - UofA)

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

school classroom A consisted of one junior and 21 seniors who hadbeen enrolled in two or more engineering courses throughout their high school career.High school B has a student population that is 48% white, 22% Hispanic, 16% Asian, 8% Black,6% other races and 19% of the student population in High School B are on free and reducedlunch. High school classroom B consisted of all senior students enrolled in their first engineeringcourse, however, they had a week-long drafting lesson and some introduction to CAD earlier inthe school year. Of the 45 students tested, all but three students completed both the pre and post-assessment, these three students were excluded from the analysis because of the missing data.2.2 InstrumentsStudents’ performance was

Conference Session

Design Mental Frameworks

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Devanshi Shah, University of Georgia; Elisabeth Kames, Florida Polytechnic University; Beshoy Morkos, University of Georgia

Tagged Divisions

Design in Engineering Education

Self-Regulation 9 Presentation Anxiety 4 Study Subjects and Data Collection Study subjects are students of the senior capstone design course. Two cohorts of senior designstudents participated in this survey. 187 students and 179 students from Cohort A and Cohort B,respectively. Cohort A and Cohort B indicates the class of 2017 and class of 2018 of seniorcapstone design course respectively. The cohorts are further divided into fall semester surveyresponses, and spring semester responses. The cohorts are divided per semester, and not teamtypes. Thus, the data is analyzed as fall and spring semesters. Both the cohorts have the sameinstructors. The instructor for the senior capstone design

Conference Session

Thermal Fluid Experiment Related

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Matthew J. Ford, Cornell University; Soheil Fatehiboroujeni, Cornell University; Hadas Ritz, Cornell University

Tagged Divisions

Mechanical Engineering

. Students were given areport template for each lab to provide a standard format and to give examples of good writingpractices. Each successive template included less pre-written content. (a) (b) (c) Figure 1: Three examples of student-designed experiments for Lab 4: (a) Folded “accordion spring” design. (b) Torsional spring. (c) Diametral tension test.Peer-teaching video activitiesAlongside the second and third lab activities, students were asked to create and share 5-minutevideos about mechanical testing. For the second lab, students recorded a low-fidelitydemonstration of the uniaxial tension test with household materials, describing the importantaspects of specimen design

Conference Session

Electrical and Computer Division Technical Session 6

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Jonathon Kenneth Schuh, University of Illinois at Urbana Champaign

Tagged Divisions

Electrical and Computer

wasgiven as extra credit towards their final grade. Students had to attend a majority, but not all, classlectures to receive the maximum amount of extra credit points, which was capped at a 3% boost totheir final grade. Students who did not attend a majority of lectures received a portion of the extracredit points that correlated to the number of lectures they attend. While this method for awarding 2 a) b)Figure 1: Selected problem from the beginning of the course for calculating the real power dissi­pated by a single phase system. (a) is the selected problem with the multiple choice answers given.(b) is the student responses, and the correct answer is marked in green.extra

Conference Session

Engineering Design Graphics Division Technical Session 3: Flipped Classroom

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Nathan John Washuta P.E., The Citadel; Patrick Bass, The Citadel; Emily Kate Bierman, The Citadel

Tagged Divisions

Engineering Design Graphics

to follow the instructor. Inclassrooms specially set up for lecture capture at The Citadel, cameras in the room are eitherfixed or must be controlled manually by the instructor. The SWIVL takes away this manualcontrol element. The audio using this setup is also an improvement upon an iPad alone or awebcam setup. The microphone on the marker and USB speaker greatly improve the ability tocommunicate with students who attend remotely. The biggest drawback using this method is thatthe video quality is limited to the capability of the iPad’s front-facing camera. Depending on theplacement of the SWIVL, this can make it difficult for remote students to see the board. (a) (b) Figure 1: A

Conference Session

Hybrid and Online Learning

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Alison K. Polasik, The Ohio State University; Anastasia Marie Rynearson, Campbell University

Tagged Divisions

Materials

informative and engaging, andstudents asked questions both during and after the presentation. The exact number of questionswas not tallied. The four topic areas covered by the GLs are shown in Table 1.Table 1: Guest Lecturers’ information and topics. Guest Lecturer Topic Employment Background A Steel Processing Major Steel B.S., Materials manufacturer Science and Engineering B Polymer Research University-based Ph.D., Materials and

Conference Session

Innovative, Engaging Pedagogies for Engineering Ethics Education

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Ashish Hingle, George Mason University; Aditya Johri, George Mason University; Huzefa Rangwala; Alexander Monea, George Mason University

Tagged Divisions

Engineering Ethics

Aviation A served as an expert witness on similar committees to ATIC; is Consultant always keen on expressing the viewpoint of pilots. A is concerned that authority for decisions during flights has shifted from pilots to technology and that decisions about pilot training have been determined by business interests rather than pilots' needs. B Professor of B is an expert on aeroelasticity, specifically nonlinear Aerospace aeroelasticity flight dynamics of highly flexible wings. B provides Engineering insight regarding the change to the wing placement to incorporate

Conference Session

First-year Programs: Computation in the First Year

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Bethany Luke, Valparaiso University; Ruth E. H. Wertz, Valparaiso University

Tagged Divisions

First-Year Programs

assessments. The COVID-19 pandemic also introduced variation aboveand beyond normal course offerings that would further dilute meaningful interpretations of directcomparisons. Instead, the research design incorporated both quantitative and qualitative methodsguided by the following two research questions: 1. How did instructional changes impact student performance and student attitudes toward programming? 2. To what extent were student attitudes toward programming related to student performance? B. Research ContextThis study was conducted on a required first year programming course in the mechanicalengineering and bioengineering program at a small midwestern private university across twoacademic years. The course included 43

Conference Session

NSF Grantees Poster Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Steven Hoffenson, Stevens Institute of Technology (School of Systems & Enterprises); Nicole P. Pitterson, Virginia Polytechnic Institute & State University

Tagged Topics

NSF Grantees Poster Session

enrolled in Engineering Management (EM), Industrial and SystemsEngineering (ISE), and Mechanical Engineering (ME) degree programs at Stevens Institute ofTechnology during a third-year required engineering design course. These students make up thefirst cohort of a two-year study. The EM and ISE students are taught in a combined section of 23students (referred to as Section A), where market-driven design is highlighted throughout thecurriculum and multiple assignments are collected and analyzed. The ME students are taught intwo sections of approximately 54 students each (Sections B and C). In Section A, 43 percent ofthe students identified as female and 35 percent as non-white, which is typical of nationalengineering student ethnicity demographics