Conference Session

Alternative Methods of Teaching and Learning Mechanics

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

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

Tagged Topics

Diversity

Tagged Divisions

Mechanics

8. Computing Projects Solutions 9. Posted Recitation 9. Posted Recitation Solutions 10. Exam Self-Assessment 10. Exam Self-Assessment 10. Exam Self-Assessment 11. Q&C 11. Q&C 11. Q&C 12. UGTAs 12. UGTAs 13. RE and MA Solutions 13.12

Conference Session

Data-informed Approaches to Understanding Student Experiences and Outcomes

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Qin Liu, University of Toronto; Greg Evans, University of Toronto

Tagged Divisions

Educational Research and Methods

ProQuest Dissertations and Theses. (UMI No. 3406386), 2010.[4] M. Borrego and J. Bernhard, "The emergence of engineering education research as an internationally connected field of inquiry," Journal of Engineering Education vol. 100, no. 1, pp. 14-47, 2011.[5] Q. Liu, "A snapshot methodological review of journal articles in engineering education research," in Proceedings of the annual Canadian Engineering Education Association conference, Ottawa: ON, 2019, June 8-12.[6] Advance CTE, "The state of career technical education: Improving data quality and effectiveness," Silver Spring, Maryland: Advance CTE, 2019, Available: https://careertech.org/resource/state-cte-improving-data-quality-effectiveness.[7] National

Conference Session

NSF Grantees: REU 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Pavan Kumar Moturu, Texas A&M University; Bimal P. Nepal, Texas A&M University; Prabhakar Reddy Pagilla, Texas A&M University; Satish Bukkapatnam, Texas A&M University

Tagged Topics

Diversity, NSF Grantees Poster Session

ch id pr po lr rc gu al h u nd of ar g ta n ea c q hy

Conference Session

NSF Grantees: Student Learning 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Brian J. Skromme, Arizona State University; Caleb Redshaw, Arizona State University; Abhishek Gupta; Shatrughn Gupta, Arizona State University; Petru Andrei, Florida A&M University/Florida State University; Hector Erives, University of Texas at El Paso; Deanna Bailey, Morgan State University; Willie L. Thompson II, Morgan State University; Srividya Kona Bansal, Arizona State University; Wendy M. Barnard, Arizona State University

Tagged Topics

Diversity, NSF Grantees Poster Session

thank Don Fowley of John Wiley & Sons, Inc. for supportingthe project.References[1] K. VanLehn, "The relative effectiveness of human tutoring, intelligent tutoring systems, and other tutoring systems," Educat. Psychologist, vol. 46, pp. 197-221, 2011.[2] C. D. Whitlatch, Q. Wang, and B. J. Skromme, "Automated problem and solution generation software for computer-aided instruction in elementary linear circuit analysis,” in Proceedings of the 2012 American Society for Engineering Education Annual Conference & Exposition. Washington, D.C.: Amer. Soc. Engrg. Educat., 2012, pp. Paper 4437.[3] B. J. Skromme, C. D. Whitlatch, Q. Wang, P. M. Rayes, A. Barrus, J. M. Quick, R. K. Atkinson, and T. Frank

Conference Session

First-Year Programs: Unique Projects & Pedagogies

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Tyler Milburn, Ohio State University; Cassondra Wallwey, Ohio State University; Michael Parke, Ohio State University

Tagged Divisions

First-Year Programs

and non-value added steps in a manufacturing process. 6. Identify metrics to measure, improve, and control in a manufacturing process. 7. Utilize principles of lean and Six Sigma to improve productivity and quality of a manufacturing process. 8. Differentiate between a push system and a pull system for a sequential manufacturing process. 9. Evaluate manufacturing models for strengths and weaknesses in terms of quality, productivity, and communication. 10. Compare manufacturing models in terms of effectiveness and profitability. 11. Write a cohesive group lab report based on different information and observations from each group member.Materials and ResourcesThe Q&P lab uses the Mr. Potato Head toy for

Conference Session

Architectural Engineering Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Darrell D. Nickolson, Indiana University Purdue University, Indianapolis; Katie Pruitt

Tagged Divisions

Architectural Engineering, Construction Engineering

, sharing they’redesign ideas, gaining feedback from on if the concept developed thus far had hit the “target” of the community issue. Our community partners made two visits to our studio on campus andspent individual time with each student, and then I conducted a group Q&A where we all haddiscussions about the project in general and long-term impacts we were trying to make. Partnersgot to see study models (ex.1g, 1h, 1i, 1j, 1k) each student hand built to explain their conceptsand ideas, and students got firsthand experience of how important a study model can be onprojects where clients are themselves still in the ideation phase of a project

Conference Session

Ethical Design

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Donald Winiecki, Boise State University; Lynn Catlin P.E., Boise State University; Harold Ackler, Boise State University

Tagged Divisions

Engineering Ethics

was accomplished during a college-wide poster presentation of all SeniorDesign projects. Overall, we find mostly positive evidence about relevance (though see thecomments below), with indeterminate confidence but appearance of satisfaction for the prospectof including ethical analyses into their engineering process.Survey ResponsesIt should be unsurprising to learn that responses from the courses (N=21 out of 23, N=10 out of15) to the anonymous survey reflected a wide variation of learned outcomes. The occasional gulfbetween responses provides substantive opportunity for us to see what influence the process had,and what we have to focus on to improve. Here are a few examples11 with our commentsfollowing each. Q: List and describe

Conference Session

Engineering Design Graphics Division Technical Session 4

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Nandita Biswas, Washington State University; David Torick, Washington State University

Tagged Divisions

Engineering Design Graphics

. Hale, S. Freyne, Teaching Aids and Laboratory Experiments toEnhance Materials Learning, Proceedings of the 2007 Midwest Section Conference of theAmerican Society for Engineering Education, Wichita, KS, Sep. 19-21, 2007.[9] A. M. Barry, D. Berry, S. Cunningham, J. Newton, M. Schweppe, A. Spalter, W. Whiteley,R. Williams, Visual Learning for Science and Engineering. A visual Learning Campfire,Snowbird, Utah, June 1-4, 2002.[10] G.R. Chalageri, G.U, Raju, Teaching Reform through Model building in Theory of MachineCourse, Proceedings of the International Conference on Transformations in EngineeringEducation, ICTIEE, 2014.[11] S. Rasul, Q. Bukhsh, S. Batool, “A study to analyze the effectiveness of audio visual aids inteaching learning process at a

Conference Session

Women in Engineering Division Technical Session 3

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Amrita Dhakal Ghimire, Mississippi State University; Litany H Lineberry, Mississippi State University; Sarah B. Lee, Mississippi State University

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

of more complextechnical topics to freshmen level students. The increase in less positive perceptions of confidencein programming ability among female learners warrants further study and is particularly interestingsince the instructors for the classes surveyed were both female.AcknowledgementWork described in this paper supports the goals of NSF INCLUDES 1649312.References[1] G. W. Skelton., Q. Pang, W. Zheng, and H. Shih. “Using robotics for teaching critical thinking, problems solving and self-regulated learning for freshmen engineering students,” In proceedings of the 2011 ASEE Annual Conference and Exposition, 2011.[2] Support K-12 Computer Science Education in Mississippi, 2019. Accessed on: Jan 20, 2020. [Online]. Available

Conference Session

NSF Grantees: Student Thought

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Carla B. Zoltowski, Purdue University, West Lafayette; Nicholas D. Fila, Iowa State University of Science and Technology; Justin L. Hess, Purdue University at West Lafayette; Alison J. Kerr, University of Tulsa; Dayoung Kim, Purdue University, West Lafayette; Michael C. Loui, University of Illinois at Urbana - Champaign; Andrew O. Brightman, Purdue University at West Lafayette (COE)

Tagged Topics

Diversity, NSF Grantees Poster Session

reflect the views of the National ScienceFoundation.References:[1] Q. Zhu and B. K. Jesiek,“A pragmatic approach to ethical decision-making in engineering practice: Characteristics, evaluation criteria, and implications for instruction and assessment,” Science and Engineering Ethics, vol. 23, no. 3, pp. 663-679, 2017.[2] D. Bairaktarova and A. Woodcock,“Engineering ethics education: Aligning practice and outcomes,” IEEE Communications Magazine, pp. 18-22, 2015.[3] D. Bairaktarova and A. Woodcock, "Engineering Student’s Ethical Awareness and Behavior: A New Motivational Model," Science and Engineering Ethics, pp. 1-29, 2016.[4] B. E. Barry and M. W. Ohland, "Applied ethics in the engineering, health, business

Conference Session

Design Teams 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Peter Schuster, California Polytechnic State University, San Luis Obispo; Brian P. Self, California Polytechnic State University, San Luis Obispo; Eltahry Elghandour, California Polytechnic State University, San Luis Obispo; Lauren Anne Cooper, California Polytechnic State University, San Luis Obispo

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education

, an adaptation of student-formed teams that leaves the final team- forming decision in the hands of the instructorsAll of these team-forming approaches start before the first term begins by providing studentswith project proposal descriptions, sponsor contact information, and guidelines on what toconsider when looking at potential projects (e.g. personal interest, career goals, prior experience,special skills, anticipated workload). This material allows students to start thinking about thetype of the project before classes begin. At the first class meeting, after discussing courselogistics, explaining the team-forming process, and answering questions, students attend a‘Sponsor Q&A Expo’ where they meet with sponsors of projects

Conference Session

Computing and Information Technology Division Technical Session 7

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Hassan Rajaei, Bowling Green State University

Tagged Divisions

Computing and Information Technology

. Hardy D, Puaut I. WCET Analysis of Multi-level Non-inclusive Set-Associative Instruction Caches. IEEE, December, 200810. Srikantaiah S, Kultursay E, Zhang T, Kandemir M, Irwin M.J, Xie Y. MorphCache: A Reconfigurable Adaptive Multi-level Cache hierarchy. IEEE, February, 201111. Kecheng Ji, Ling M, Wang Q, Shi L., Pan J., AFEC An Analytical Framework for Evaluating Cache performance in out of order processors. In 2017 Design, Automation & Test in Europe Conf. & Expo.12. Yavits L., Morad A., Ginosar, Cache Hierarchy Optimization. In IEEE COMPUTER ARCHITECTURE LETTERS, VOL.13, NO. 2, 2014.13. Waldspurger C, Saemundson T., Ahmad I. and Park N., Cache Modeling and Optimization using Miniature Simulations. In 2017 USENIX

Conference Session

Women in Engineering Division Technical Session 3

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Maral Kargarmoakhar, Florida International University; Monique S. Ross, Florida International University; Zahra Hazari, Florida International University; Mark A Weiss, Florida International University; Michael Georgiopoulos, University of Central Florida; Ken Christensen P.E., University of South Florida; Tiana Solis, Florida International University

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

, High School Learning, and Postsecondary Context of Support,” 2012.[9] R. W. Auger, A. E. Blackhurst, and K. Herting Wahl, “The Development of Elementary-Aged Children’s Career Aspirations and Expectations on JSTOR.” [Online]. Available: https://www.jstor.org/stable/42732626?seq=1#metadata_info_tab_contents. [Accessed: 27- Feb-2019].[10] L. S. Gottfredson and R. T. Lapan, “Assessing Gender-Based Circumscription of Occupational Aspirations,” J. Career Assess., vol. 5, no. 4, pp. 419–441, Sep. 1997.[11] D. A. Jepsen and G. L. Dickson, “Continuity in life-span career development: Career exploration as a precursor to career establishment,” Career Dev. Q., vol. 51, no. 3, pp. 217–233, 2003.[12] “Women Who

Conference Session

Laboratory Courses and Programming in the Aerospace Curriculum

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Mary E. Johnson Ph.D., Purdue Polytechnic Institute; Tracy L. Yother, Purdue University - Purdue Polytechnic Lafayette

Tagged Topics

Diversity

Tagged Divisions

Aerospace

N 22 M inimum 0.0000 1st Q uartile 0.5000 M edian 1.0000 3rd Q uartile 1.1250 M aximum 5.0000 95% C onfidence Interv al for M ean

Conference Session

Materials Division Technical Session 4

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Blake Herren, University of Oklahoma; Ryan Cowdrey; Weston Scott Sleeper; Colin Bray; Zahed Siddique, University of Oklahoma; Yingtao Liu, University of Oklahoma

Tagged Divisions

Materials

, K.T. Nguyen, and D. Hui, Additive manufacturing (3D printing): A review of materials, methods, applications and challenges. Composites Part B: Engineering, 2018. 143: p. 172-196.9. M. Abshirini, M. Charara, P. Marashizadeh, M.C. Saha, M.C. Altan, and Y. Liu, Functional nanocomposites for 3D printing of stretchable and wearable sensors. Applied Nanoscience, 2019. 9(8): p. 2071-2083.10. L.A. Chavez, B.R. Wilburn, P. Ibave, L.C. Delfin, S. Vargas, H. Diaz, C. Fulgentes, A. Renteria, J. Regis, and Y. Liu, Fabrication and characterization of 3D printing induced orthotropic functional ceramics. Smart Materials and Structures, 2019. 28(12): p. 125007.11. Q. Gao, H. Gu, P. Zhao, C. Zhang, M. Cao, J. Fu, and Y. He

Conference Session

Ethical and Global Concerns

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Elizabeth A. Reddy, Colorado School of Mines; Stephen Campbell Rea, Colorado School of Mines; Qin Zhu, Colorado School of Mines

Tagged Divisions

Liberal Education/Engineering & Society

Proceedings of ASEE Annual Conference & Exposition,Salt Lake City, UT, 2018.[13] D. Milesko-Pytel, “With a dose of morality,” American Education, vol. 15, no. 1, p. 31-36, 1979.[14] P. C. Wankat and F. S. Oreovicz, Teaching Engineering, Purdue: Purdue UniversityPress, 2015.[15] Q. Zhu, “Toward a globalized engineering education: Comparing dominant images ofengineering education in the United States and China,” presented at 2019 ASEE AnnualConference & Exposition, Tampa, FL, 2019.[16] Infusing Ethics Selection Committee, Infusing Ethics into the Development of Engineers:Exemplary Education Activities and Programs, Washington, D.C.: National Academies Press,2016.[17] K. Riley, M. Davis, A. C. Jackson, and J. Maciukenas, “‘Ethics in the details

Conference Session

Making it Sticky: Ways to Reinforce Prerequisite Knowledge

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Ricardo Zaurin PE, University of Central Florida; Sudipta Dey Tirtha, University of Central Florida; Naveen Eluru, University of Central Florida

Tagged Topics

Diversity

Tagged Divisions

Civil Engineering

potentially important variables for predicting future grade of the students in statics course. Onthe other hand, chi-square statistics also shows that gender, number of prior attempts and inclusionof adaptive learning module do not significantly influence the grade.MODEL AND ESTIMATION RESULTSEconometric ModelIn this research, we employ the ordered logit model for studying the ordinal categorical variablegrade with the categories defined as Fail/Withdraw (DFW) and Pass (ABC).Let j be the index for the discrete outcome that corresponds to grade for student q. In orderedresponse model, the discrete grade levels (𝑦𝑞 ) are assumed to be associated with an underlyingcontinuous latent variable (𝑦𝑞∗ ). This latent variable is typically specified as the

Conference Session

Women in Engineering Division Technical Session 10

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Huma Shoaib, Purdue University ; Monica E Cardella, Purdue University-Main Campus, West Lafayette (College of Engineering)

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

Number of Reviews 2012 Reviews 2018Mindware physics Physics Concepts 51 71WorkshopMindware Q-BA- Engineering and 51 717MAZE 2.0: Big Box ConstructionMindware Math & Science 50 124Microscopic kit &bookMindware Chaos Engineering and 43 68Tower ConstructionMindware Equate Math & Science 51 51Mindware KEVA Engineering and 50 70Contraptions (200 ConstructionPlank)Mindware Snap Physics Concepts 32 174Circuits (500piece)Mindware KEVA Engineering

Conference Session

Flipped, Blended, Online, Oh My

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Ricardo Zaurin PE, University of Central Florida; Sudipta Dey Tirtha, University of Central Florida; Naveen Eluru, University of Central Florida

Tagged Divisions

Civil Engineering

defined as Fail/Withdraw, D, C, B, and A.Let j be the index for the discrete outcome that corresponds to grade for student q. In orderedresponse model, the discrete grade levels (𝑦𝑞 ) are assumed to be associated with an underlyingcontinuous latent variable (𝑦𝑞∗ ). This latent variable is typically specified as the following linearequation: 𝑦𝑞∗ = 𝛼′𝑧𝑞 + 𝜀𝑞 , 𝑦𝑞 = 𝑗 if 𝜓𝑗 < 𝑦𝑞∗ < 𝜓𝑗+1 (1)where, 𝑧𝑞 is a column vector of exogenous variables for student 𝑞, 𝛼 is column vector ofunknown parameters, 𝜓𝑗 is the observed lower bound threshold and 𝜓𝑗+1 is the observed upperbound threshold for grade j. 𝜀𝑞 , with logistic distribution, captures the idiosyncratic effect of

Conference Session

Empathy and Human-Centered Design 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Devanshi Shah, University of Georgia; Xiaoou Yang, University of Georgia; Beshoy Morkos, University of Georgia

Tagged Divisions

Design in Engineering Education

Questions Never % Rarely % Sometimes% Often% Always% Figure 2 : Level of agreement post-moduleFigure 2 shows the percentage response after completing the group-based productdesign/empathy module. Below is a breakdown of the responses from the class to the questionsmentioned in Table 4.Q.1 “When I don’t understand someone’s point of view, I ask questions to learn more”. The average class response was 4.3. Standard deviation for this question was 0.2561.58% of the class responded “often” and 0% as “never” and “rarely”.Q.2 “When a friend is upset, I try to show them I understand how they feel”. 61% of the class responded “often” which was the highest

Conference Session

Experiences of Underrepresented Students in Engineering

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Oleksandr Kravchenko, Old Dominion University; Konstantin Cigularov, Old Dominion University; Phillip Dillulio, Old Dominion University

Tagged Divisions

Educational Research and Methods

academicallymature individuals with work experiences outside of college. This information would be valuablefor identifying the precise needs of SCS undergraduate students and targets for intervention andprogrammatic efforts to facilitate their academic and career goals and support their well-being. Specifically, we examined the following research questions:Q.1 How do SCS undergraduate students differ from traditional undergraduate students andgraduate students in terms of needs based on their levels of school and personal demands andresources?Q.2 How do SCS undergraduate students differ from traditional undergraduate students andgraduate students in their levels of student outcomes?MethodProcedure In April of 2019, a link to a 57-question

Conference Session

Software Engineering Division Technical Session 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Bruce R. Maxim, University of Michigan, Dearborn; Gail Luera, University of Michigan, Dearborn

Tagged Divisions

Software Engineering Division

, pp. 137-144. DOI: https://doi.org/10.1145/2493394.249340823. Nagappan, N.; Williams, L.; Ferzli, M.; Wiebe, E.; Yang, K.; Miller, C.; and Balik, S. (2003) “Improving the CS1 experience with pair programming,” In Proceedings of the 34th SIGCSE technical symposium on Computer science education (SIGCSE '03). ACM, New York, NY, USA, 2003, pp. 359-362. DOI: https://doi.org/10.1145/611892.61200624. Porter, L.; Bouvier, D.; Cutts, Q.; Grissom, S.; Lee, C.; McCartney, R.; Zingaro, D.; and Simon, B. (2016) “A multi-institutional study of peer instruction in introductory computing,” In Proceedings of the 47th ACM Technical Symposium on Computing Science Education (SIGCSE '16). ACM, New York, NY, USA, 2016, pp

Conference Session

Factors Influencing Curriculum Development: International Division Technical Session 4

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Nicole L. Ramo, University of Michigan; Eric Scott Hald, Shantou University; Aileen Huang-Saad, University of Michigan; Qiang Fang, Shantou University

Tagged Topics

Diversity

Tagged Divisions

International

-engagement-visible/.[16] Eberly Center for Teaching Excellence: Intercultural Communication Center, “Recognizing and Addressing Cultural Variations in the Classroom,” 2006.[17] Q. Zhu, “Toward a Globalized Engineering Education: Comparing Dominant Images of Engineering Education in the United States and China,” Am. Soc. Eng. Educ. Annu. Conf. Expo., 2019.[18] W. Sun and Q. Zhang, “How to Build an American Classroom Environment in a Chinese Engineering College,” Am. Soc. Eng. Educ. Annu. Conf. Expo., 2015.[19] G. J. Ryan, L. L. Marshall, K. Porter, and H. Jia, “Peer, professor and self-evaluation of class participation,” Act. Learn. High. Educ., vol. 8, no. 1, pp. 49–61, 2007.Appendix – Final Version of the Participation Log

Conference Session

Design Mental Frameworks

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Laura R. Murphy, University of Michigan; Shanna R. Daly, University of Michigan; Colleen M. Seifert, University of Michigan; Eytan Adar, University of Michigan; Sophia Brueckner, University of Michigan

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education

Research in 2006,” Des. Res. Q., Sep. 2006.[2] E. Sanders, “An Evolving Map of Design Practice and Design Research,” Interactions, pp. 13–17, Dec. 2008.[3] IDEO, The Field Guide to Human-Centered Design. 2015.[4] C. B. Zoltowski, W. C. Oakes, and M. E. Cardella, “Students’ ways of experiencing human-centered design,” J. Eng. Educ., vol. 101, no. 1, pp. 28–59, 2012.[5] I. Mohedas, S. Daly, and K. Sienko, “Design Ethnography in Capstone Design: Investigating Student Use and Perceptions,” Int. J. Eng. Educ., vol. 30, no. 4, pp. 888–900, 2014.[6] R. P. Loweth, S. R. Daly, J. Liu, and K. H. Sienko, “Assessing Needs in a Cross-Cultural Design Project: Student Perspectives and Challenges,” Int. J. Eng. Educ., vol. 36, no. 2, pp

Conference Session

Beyond the Capstone: Integrating Authentic Experiences that Promote Learning and Excitement

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Andrew C. Brown P.E., The University of Auckland; Hugh Watson Morris, University of Auckland, NZ

Tagged Divisions

Civil Engineering

Presentation and Design Office room Week 6 Q&A (1) 15 Friday “40% Design” Submitted electronically Week 6 Report Friday Preliminary Report 5 Submitted electronically Week 10 Thursday Submitted electronically Final Report 60(2) Week 12 -AND- Hardcopy delivered Friday

Conference Session

Faculty Development Research

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Petra Bonfert-Taylor, Dartmouth College; Christopher Miller, Dartmouth College

Tagged Divisions

Faculty Development Division

average group scoreGavg , given by 1 m Gavg = ∑ G j , m j=1where m is the number of groups in the class and the score of group G j , is given by q G j = ∑ Wi Xi, j . i=1Here, q is the number of scored questions in the survey, Wi is the weight of question i, and Xi, j is the fitnessmeasure for group j with respect to question i in the range [0, 1]. The value of the fitness measure, Xi, j , is dependent on question type and is defined below. For

Conference Session

First-year Programs: Retention and Bridge Programs #1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Kamau Wright, University of Hartford

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

scheduling and associated modifications asneeded. The acceptance letter also included anticipated benefits and commitments, such as:  Participating in STRIDE sessions held once a week  Reflecting once a month through an electronic journal guided by instructors  Attending meetings for a professional group of your choice recommended by instructors  Receiving training on peer mentoring for future STRIDE cohorts  Demonstrating the use of recommended study methods weekly, for example, through display of out-of-class notes and Q&A with instructor on notes and weekly schedule.It was also explicitly highlighted that there was no cost to students to participate in the program,and contact

Conference Session

Ethical Reasoning and Decision Making

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Rockwell Franklin Clancy III, University of Michigan-Shanghai Jiao Tong University Joint Institute

Tagged Topics

Diversity

Tagged Divisions

Engineering Ethics

engineering ethics: Assessment of its influence on moral reasoning skills,” J. Eng. Educ., vol. 87, no. 1, pp. 29–34, 1998.[6] J. Henrich, S. J. Heine, and A. Norenzayan, “The Weirdest People in the World?,” Behav. Brain Sci., vol. 33, no. 2–3, pp. 61–83, 2010.[7] Q. Zhu, C. B. Zoltowski, M. K. Feister, P. M. Buzzanell, W. Oakes, and A. Mead, “The development of an instrument for assessing individual ethical decision-making in project-based design teams: Integrating quantitative and qualitative methods,” in Proceedings of the American Society for Engineering Education Annual Conference & Exposition, 2014.[8] R. I. Murrugarra and W. A. Wallace, “A Cross Cultural Comparison of Engineering Ethics Education

Conference Session

Multidisciplinary Learning Experiences

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Homero Murzi, Virginia Polytechnic Institute and State University; Jazmin Jurkiewicz, Virginia Polytechnic Institute and State University; Kenneth Reid, Virginia Polytechnic Institute and State University; Rachel Rosenbaum, Virginia Tech Department of Engineering Education

Tagged Divisions

Multidisciplinary Engineering

Dakota, United States -- South Dakota, 2012.[15] M. G. Brown and D. B. Knight, “Engineering Practice in the Academic Plan: External Influences, Faculty, and Their Teaching Roles,” presented at the 2014 ASEE Annual Conference & Exposition, 2014, pp. 24.502.1-24.502.24.[16] J. M. Bryson, M. Q. Patton, and R. A. Bowman, “Working with evaluation stakeholders: A rationale, step-wise approach and toolkit,” Evaluation and Program Planning, vol. 34, no. 1, pp. 1–12, Feb. 2011, doi: 10.1016/j.evalprogplan.2010.07.001.[17] M. C. Alkin, Evaluation Roots: Tracing Theorists’ Views and Influences. SAGE, 2004.[18] M. Q. Patton, Utilization-Focused Evaluation. SAGE Publications, 2008.[19] K. E. Newcomer, H. P. Hatry, and J

Conference Session

Educational Research and Methods Division (ERM) Best Paper Finalists

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Andrew Forney, Loyola Marymount University; Sunai Kim, Loyola Marymount University

Tagged Divisions

Educational Research and Methods

, “Predicting Undergraduate Student Retention in STEM Majors Based on Career Development Factors,” Career Dev. Q., vol. 65, no. 1, pp. 88–93, 2017.[3] J. G. Cromley, T. Perez, and A. Kaplan, “Undergraduate STEM Achievement and Retention: Cognitive, Motivational, and Institutional Factors and Solutions,” Policy Insights from Behav. Brain Sci., vol. 3, no. 1, pp. 4–11, 2015.[4] R. W. Lent, A. M. Lopez, F. G. Lopez, and H. Bin Sheu, “Social cognitive career theory and the prediction of interests and choice goals in the computing disciplines,” J. Vocat. Behav., vol. 73, no. 1, pp. 52–62, 2008.[5] A. Carpi, D. M. Ronan, H. M. Falconer, H. H. Boyd, and N. H. Lents, “Development and Implementation of Targeted