Conference Session

Student Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Renee M. Desing, The Ohio State University; Rachel Louis Kajfez, The Ohio State University

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Diversity

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Student

Paper ID #30541How to Use Q Methodology in Engineering Education ResearchMs. Renee Desing, The Ohio State University Renee Desing is currently a PhD Candidate at the Ohio State University in the Department of Engineering Education. Ms. Desing holds a B.S. in Industrial Engineering from the Georgia Institute of Technology and a M.S. in Industrial Engineering and Operations Research from the Pennsylvania State University. Most recently, Ms. Desing worked as a managing consultant for IBM Public Sector Advanced Analytics.Dr. Rachel Louis Kajfez, The Ohio State University Dr. Rachel Louis Kajfez is an Assistant Professor in the

Conference Session

Research! Research! Research! in Faculty Development

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Amber Gallup, University of New Mexico; Vanessa Svihla, University of New Mexico; Madalyn Wilson-Fetrow, University of New Mexico; Yan Chen, University of New Mexico; Pil Kang, University of New Mexico; Kristen Ferris, University of New Mexico

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Diversity

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Faculty Development Division

Paper ID #28894From Q&A to Norm & Adapt: The Roles of Peers in Changing Faculty Be-liefsand PracticeAmber Gallup, University of New MexicoDr. Vanessa Svihla, University of New Mexico Dr. Vanessa Svihla is a learning scientist and associate professor at the University of New Mexico in the Organization, Information & Learning Sciences program and in the Chemical & Biological Engineering Department. She served as Co-PI on an NSF RET Grant and a USDA NIFA grant, and is currently co-PI on three NSF-funded projects in engineering and computer science education, including a Revolutionizing Engineering Departments

Conference Session

Computing and Information Technology Division Technical Session 7

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Elsa Q. Villa, University of Texas at El Paso; Ann C. Gates, University of Texas at El Paso; Sanga Kim, University of Texas at El Paso ; David S. Knight, University of Washington

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Diversity

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Computing and Information Technology

Paper ID #31526The CAHSI INCLUDES Alliance: Realizing Collective ImpactDr. Elsa Q. Villa, University of Texas at El Paso Elsa Q. Villa, Ph.D., is a research assistant professor at The University of Texas at El Paso (UTEP) in the College of Education, and is Director of the Center for Education Research and Policy Studies (CERPS). Dr. Villa received her doctoral degree in curriculum and instruction from New Mexico State University; she received a Master of Science degree in Computer Science and a Master of Arts in Education from UTEP. She has led and co-led numerous grants from corporate foundations and state and

Conference Session

ECCD - Technical Session 6 - Energy & Thermodynamics

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2020 ASEE Virtual Annual Conference Content Access

Authors

Farshid Zabihian, California State University, Sacramento

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Diversity

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Energy Conversion and Conservation

Q7 4.06 4 Q8 4.74 4.5 Q9 4.47 4.57 Q 10 4.68 4.57 Q 11 4.47 4.43 Q 12 4.42 4.33 Q 13 4.56 4.17 Q 14 4.11 4.43 Q 15 4.47 4.57 Q 16 4.42 4.71 Q 17

Conference Session

First-year Programs: Retention and Bridge Programs #1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Melissa Danforth, California State University, Bakersfield; Charles Lam, California State University, Bakersfield; Ronald Hughes, California State University, Bakersfield

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Diversity

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First-Year Programs

taken) Participant demographic information (Gender, Race / Ethnicity) Select from lists Q: What interested you about this summer program? Open-ended comment Q: What do you expect to learn and experience in this summer program? Open-ended comment Q: How do you expect this program to help your academic career? Open-ended comment Q: Rate your agreement with the following statements: 5-point Likert scale (strongly  I am interested in the field that I am studying. agree = 5, agree = 4, neutral  I am interested in a career in STEM. = 3, disagree = 2, strongly  I am confident that I am prepared

Conference Session

NSF Grantees: Diversity 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Rani W. Sullivan, Mississippi State University; Soundouss Sassi, Mississippi State University; Mahnas Jean Mohammadi-Aragh, Mississippi State University

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Diversity, NSF Grantees Poster Session

. Wigfield, “MOTIVATIONAL BELIEFS,VALUES, AND GOALS,” 2002.[12] J. S. Eccles, A. Wigfield, and U. Schiefele, “Motivation to succeed,” in Handbook of child psychology: Social, emotional, and personality development., Vol. 3, 5th ed., N. Eisenberg, Ed. Hoboken, NJ: John Wiley & Sons Inc, 1998, pp. 1017–1095.[13] Jacquelynne S. Eccles, “GENDER ROLES AND WOMEN’S ACH IEVEMENT- RELATED DECISIONS,” Psychol. ofWmn Q., vol. 11, pp. 135–172, 1987.[14] G. Hofstede, Cultures and organizations: Software of the mind. 1991.[15] R. L. Kajfez, M. J. Mohammadi-Aragh, A. Clark, S. Sassi, and J. Petrie, “Board 29: Initial Qualitative Exploration into First-Year Engineering Community and Identity,” in 2019 ASEE Annual

Conference Session

Women in Engineering Division Technical Session 6

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Agnes Germaine d'Entremont P.Eng., University of British Columbia, Vancouver; Kerry Greer, University of British Columbia; Katherine A. Lyon, University of British Columbia, Vancouver

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Diversity

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Women in Engineering

545.5 545.5 2013 S University of South Carolina 1278.5 1212 2006 S University of Wyoming 1245.5 1243.5 2009 S Vanderbilt University 1272 928 2006 S Wayne State University 818.5 772.5 2010 S Wichita State University 1389.5 1315 2011 SAppendix B – Normality assumption checkingShown below are the Q-Q plots used for checking the normality assumption of the proportiondifferences before and after adding BME

Conference Session

NSF Grantees: Student Development

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Micah Lande, South Dakota School of Mines and Technology

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Diversity, NSF Grantees Poster Session

learning goal/outcome. There were two versions of interviewquestions, faculty version and student version, trying to explore the same topics. The interviewquestions only varied slightly, asking both the faculty and the student to reflect on the expectedstudent experience. Each interview lasted approximately fifty minutes. And an emergingthematic analysis will inform other prongs of the research. Example interview questions arelisted below in Tables 1 and 2.Table 1: Example interview questions in Area 1: Classroom Experience Q: Can you tell me your perceptions about students’ expected learning experiences through the curriculum? Walk me through the classes students take? (faculty) (probe) What knowledge and skills are they

Conference Session

Student Division Technical Session 5

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Alaa Abdalla, Virginia Tech; Nicole P. Pitterson, Virginia Tech ; Jennifer M Case, Virginia Polytechnic Institute and State University

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Diversity

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Student

Bret Male Caucasian Frankie Male Caucasian Devi Female Indian Kai Male White/Pacific islander Qiang unreported unreportedThe interview questions were framed around the students’ experiences in general during theirtime in the university, with few questions focusing particularly on how they spend their time in agiven week, and the kind of activities they are involved in. The questions used for the analysisfor this paper are:Q. Could you please walk me through a recent week of studying? What does your timetable oftaught sessions and studying look like during a week?Q

Conference Session

Curriculum Development in Technological Literacy

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Marjan Eggermont, University of Calgary

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Diversity

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Technological and Engineering Literacy/Philosophy of Engineering

, Poetry road, SC Q. C. Procedural 1C. Lec. 10 - Draw 2C. Lec. 15 - What 3C: Lec. 13 - 4C. - Lec. 9 - How 5C: Lec. 14 - 6C: Lec. 8 - What (specific skills, red cross, absinthe was the main idea Inside Job (half is Haeckel’s Explain how a still alternatives can algorithms, utensil, spiderweb of the talk and why sheet) world map diagram related to works (from patent you propose techniques) is it important? Darwin? drawing) Telkes based on your dis. D. Metacognitive

Conference Session

Computing and Information Technology Division Technical Session 3

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Caleb James O'Malley, University of Florida; Ashish Aggarwal, University of Florida

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Diversity

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Computing and Information Technology

reduced, allowing for more detailed and interesting findings.3.2.5 Tests for AssumptionsIn order to understand the validity of our data set and the subsequent analysis, a few assumptionsmust first be tested which the factorial ANOVA takes into account. The assumption of normalitywas tested via examination of the residuals. Review of the Shapiro–Wilk (S-W) test fornormality and skewness and kurtosis statistics suggest whether or not normality was a reasonableassumption. The boxplot of the residuals is analyzed for a relatively normal distributional shape.The Q–Q plot and histogram are also examined for normality. The assumption of homogeneityof variance (homoscedasticity) is tested by conducting Levene’s test.Random assignment of individuals to

Collection

2020 First-Year Engineering Experience

Authors

James Lenn, Wayne State University; Fatmir Menkulasi P.E., Wayne State University; Marcis Jansons P.E., Wayne State University; Jessie Mazin Yousif-Dickow; McKayla Kleinschrodt; Jeffrey Potoff, Wayne State University

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Diversity

Incorporating SECMsLearning OutcomesImplementation of the current approach incorporates two new learning objectives and removesone, as shown in table 2.Table 2. Affected Learning outcomes and assessment Learning Outcomes Affected by Current Approach Assessment Read and create engineering drawings and models Added HW, Q, P, Ex Use plastic 3D printing to create functional objects Added HW, P Develop and implement simple algorithms and programs Removed HW, Q, PThe assessment methods listed in table 2 are: HW-Homework, Q-Quizzes, P-Team Projects, Ex-Exam.Future PlansThis course has been met with a high level of enthusiasm from both students and faculty. Thestudents had the

Conference Session

New Directions for ET

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Michael Shenoda, State University of New York

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Diversity

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Engineering Technology

Guidebook provided a number of evaluation areas onthe basis of, not only cost, student and faculty use, but perceptions of OER (mainly focused onstudent perception). The Guidebook also provided a menu of survey questions that could directlybe provided to students to evaluate these areas. Thus, the Guidebook was selected as the primarysource of questions used to evaluate the “attitudes” of students regarding OER implementation inthe CON 357 course. The survey questions used are outlined in Table 4.Table 4. Survey questions for evaluation of impacts of OER implementation. Q# Question 1 In general, how often do you purchase the required texts for the courses you take? 2 How much do you typically spend on texts each semester? 3 For a typical

Conference Session

First-Year Programs: Peer Mentoring

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Rezvan Nazempour, University of Illinois at Chicago; Houshang Darabi, University of Illinois at Chicago; Renata A. Revelo, University of Illinois at Chicago; Peter C. Nelson, University of Illinois at Chicago; Anthony E. Felder, University of Illinois at Chicago; Didem Ozevin P.E., University of Illinois at Chicago; Jeremiah T. Abiade, University of Illinois at Chicago

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Diversity

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First-Year Programs

ScienceFoundation.AppendixFigure 2 shows the plots for the comparison groups. The histograms and Q-Q plots show that thedistribution of the cumulative GPA does not follow the Normal distribution. The results of thenormality tests presented in Table 9 also confirm that. Table 9. P-value of Normality test methods for cumulative GPA for C-Groups Jarque Shapiro- Anderson- Kolmogorov- Groups/ Method Bera (J-B) Wilk (S-W) Darling (A-D) Smirnov (K-S) Not 1&2 6.338e-13 4.612e-06 2.986e-06 0.08832 PELL-Eligible 3 <2.2e-16 <2.2e-16 <2.2e-16 1.048e-07 1&2 2.174e-07 7.481e-05

Conference Session

Mathematics Division Technical Session 3: Diversity in Mathematics Education

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

John Kerrigan, Rutgers University; Lydia Prendergast, Rutgers University; Jillian A.S. Mellen, Rutgers University; Geraldine L. Cochran; Antonio D. Silva

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Diversity

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Mathematics

class review/Q&A online Station #1 Station #2 online quiz quiz Three-station 10 min 10 min 40 min 40 min 40 min 10 min class review/Q&A online Station #1 Station #2 Station #3 online quiz (workshop) quizFigure 3. Class timeline (150 minutes)Learning Assistant Classroom SupportAn important part of the rotating station design was the availability of an undergraduate LearningAssistant (LA) provided by the University. Undergraduate students who qualify to become anLA have earned an A or B+ in the course they are an LA for, successfully

Conference Session

NSF Grantees: Workforce Development (ATE)

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Kathleen Alfano, College of the Canyons

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Diversity, NSF Grantees Poster Session

ideas to fit what ATE will supportDay 0 Evening Assignment: Each college should appoint a spokesperson and prepare aone minute introduction of your team and your project for tomorrow morning.Day 1Monday, July 15, 20196:30-8:00AM Breakfast at hotel8:15 -8:30AM Bus pickup at hotel9:00 – 9:10AM Welcome9:10 – 9:30AM Introduction of Colleges9:30-10:00 Session 1: ATE Basics (brief session 30 minutes including Q&A) Components of ATE proposal Head’s up about submission process, Fastlane, grants.gov, research.gov What PIs and grants offices will have to do between now and submission day10:00-10:45AM Session 2: Rationale (45 minutes) Brief presentation on importance of rationale (10

Conference Session

New Directions for ET

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Huma Shoaib, Purdue University

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Diversity

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Engineering Technology

. ., Huang, J. C. H. ., Huang, A. Y. Q. ., & Yang, S. J. H. . (2017). Applying learning analytics for improving students engagement and learning outcomes in an MOOCs enabled collaborative programming course. Interactive Learning Environments, 25(2), 220–234.Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., Altman, D., Antes, G., & Tugwell, P. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement (Chinese edition). Journal of Chinese Integrative Medicine, 7(9), 889–896. http://doi.org/10.3736/jcim20090918Sadhasivam, J. (2014). Educational paradigm shift: Are we ready to adopt MOOC? International Journal of Emerging Technologies in Learning, 9(4), 50–55

Conference Session

Experiences of Underrepresented Students in Engineering

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Manuel Jimenez, University of Puerto Rico, Mayaguez Campus; Luisa Guillemard, University of Puerto Rico, Mayaguez Campus; Sonia M. Bartolomei-Suarez, University of Puerto Rico, Mayaguez Campus; Oscar Marcelo Suarez, University of Puerto Rico, Mayaguez Campus; Aidsa I. Santiago-Roman, University of Puerto Rico, Mayaguez Campus; Nayda G. Santiago, University of Puerto Rico, Mayaguez Campus; Carla López del Puerto, University of Puerto Rico, Mayaguez Campus; Pedro O. Quintero, University of Puerto Rico, Mayaguez Campus; Nelson Cardona-Martínez, University of Puerto Rico, Mayaguez Campus

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Diversity

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Educational Research and Methods

Estadístico sobre la educación de Puerto Rico 2016-2017 (Databook): Tabla 9. Tasas de graduación (IPEDS Graduation Rate) en las instituciones de educación superior en Puerto Rico (año académico 2016-17)” [Online] Available: CEPR webpage, http://www2.pr.gov/agencias/cepr/inicio/estadisticas_e_investigacion/Pages/default.aspx [Accessed Mar. 21, 2018][17] Q. Jin, S. Purzer, and P.K. Imbrie, “Measuring first year engineering students' knowledge and interest in materials science and engineering”, In Proceedings of 2012 ASEE Annual Conference & Exposition, San Antonio, TX, June 10-13, 2012[18] P.O. Garriott, L.Y. Flores, and M.P. Martens, “Predicting the math/science career goals of low-income prospective first

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

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Diversity

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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

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

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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

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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

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

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Diversity

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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)

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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

Collection

Proceedings of the 2020 ASEE PSW Section Conference, canceled

Authors

Angelique Bonilla; Daniel Charles Jones, California Polytechnic State University; Amanda Krysl; John S Seng, Cal Poly State University, San Luis Obispo

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Diversity

, A. Ng, “ROS: An Open-Source Robot Operating System”, ICRA Workshop on Open Source Software, 2009 13. M. Labbé, F. Michaud, “RTAB-Map as an Open-Source Lidar and Visual SLAM Library for Large-Scale and Long-Term Online Operation,” in ​Journal of Field Robotics​, vol. 36, no. 2, pp. 416–446, 2019 14. Labelbox (2020), Labelbox, Retrieved from the Labelbox, Inc. website, ​https://www. labelbox. com 15. A. Howard, M. Sandler, G. Chu, L. Chen, B. Chen, M. Tan, W. Wang, Y. Zhu, R. Pang, V. Vasudevan, Q. Le, H. Adam, “Searching for MobileNetV3”, International Conference on Computer Vision, 2019 16. M. Tan, Q. Le, “EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks”, International

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

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Diversity

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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

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

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Diversity

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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

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Diversity

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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

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

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Diversity

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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)

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Diversity

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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

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

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Diversity

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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