Conference Session

Best In DEED

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Eric Cuellar, California Polytechnic State University, San Luis Obispo; Benjamin David Lutz, California Polytechnic State University, San Luis Obispo; Dominick Trageser; Ricardo Cruz-Lozano, California Polytechnic State University, San Luis Obispo

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education

understanding of our overall data, we performed descriptivestatistical analysis. Shown below in Table 4 are the descriptive statistics for average noveltyscores by brainstorming group. Here, N represents the number of ideas generated in a givenbrainstorming session and mean represents the total novelty score of each design divided by thetotal number of designs generated. The groups are denoted by the gender composition andstructure (i.e., PM-S = Predominantly Male-Structured) We also present skewness and kurtosisto demonstrate the suitability of the dataset for subsequent statistical analysis. Based on thevalues shown in Table 4, we used standard statistical tests without violating assumptions ofnormality.Table 4: Overview of descriptive statistics for

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

Tagged Topics

Diversity

Tagged Divisions

Student

andlearning new methodologies, such as Q methodology, engineering education researchers will beable to answer new questions, elicit new insights, and expand their skillsets.References[1] J. W. Creswell, Research design: Qualitative, quantitative and mixed methods approaches, 4th ed. Thousand Oaks, CA: SAGE Publications, Inc., 2014.[2] S. R. Brown, “A primer on Q methodology,” Operant Subj., vol. 16, no. 3/4, pp. 91–138, 1993.[3] W. Stephenson, The study of behavior: Q-technique and its methodology. Chicago, IL: University of Chicago Press, 1953.[4] I. Newman and S. Ramlo, “Using Q methodology and Q factor analysis in mixed methods research,” in SAGE Handbook of Mixed Methods in Social & Behavioral Research, 2nd

Conference Session

Faculty Development Research

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Fethiye Ozis P.E., Northern Arizona University; Kyle Nathan Winfree, Northern Arizona University

Tagged Topics

Diversity

Tagged Divisions

Faculty Development Division

, nearly half (45%) of all high school seniors indicated an intent to study scienceand engineering (S&E), yet in the 2015 survey of full-time undergraduates, just more than onethird (37%) of undergraduate enrollments were in S&E programs, indicating there exists adisconnect between enrollment and graduation rates. In 2015, out of nearly two-millionbachelor’s degrees earned; less than one-hundred thousand were in engineering (5.2%)(NSB Appendix Table 2-21 [2]). “We are graduating fewer engineers now than 20 years ago,both in terms of absolute numbers and as a percentage of all college degrees” [3]. This is alsoreflected in the National Science Board (NSB) cohort study which identified that more than onein six (16.3%) of students who

Conference Session

Design Across Curriculum 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Robert P. Loweth, University of Michigan; Shanna R. Daly, University of Michigan; Jiangqiong Liu; Kathleen H. Sienko, University of Michigan

Tagged Divisions

Design in Engineering Education

needsstatements. The detailed descriptions of student conceptions and challenges described in thispaper can help support the shaping of this pedagogy.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.1611687. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation. The research team would also like to express their gratitude to Charlie Michaels,Tallie Ritter, Jessica Kahn, Tanner Jones, and Christian Casanova at the University ofMichigan’s Center for Socially Engaged Design for sharing and allowing us to use the needsstatement Why-How Laddering example shown in

Conference Session

Team Facilitation and Effectiveness

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

P.K. Imbrie, University of Cincinnati; Jutshi Agarwal, University of Cincinnati; Gibin Raju, University of Cincinnati

Tagged Divisions

Educational Research and Methods

Engineering Education for the 21st Century," in Symposium on Engineering and Liberal Education, Schenectady, NY, 2010.[4] T. S. Isaac, O. J. Kolawole, A. A. G. Funsho and O. J. Adesiji, "Reviewing Engineering Curricula to Meet Industrial and Societal Needs," in 2014 International Conference on Interactive Collaborative Learning (ICL), Dubai, UAE, 2014.[5] M. F. Ercan and R. Khan, "Teamwork as a fundamental skill for engineering," in 2017 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), Hong Kong, 2017.[6] K. Sheppard, P. Dominick and Z. Aronson, "Preparing Engineering Students for the New Business Paradigm of International Teamwork and Global Orientation," International Journal of

Conference Session

Pre-college Engineering Education Division Technical Session 18

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Chadia A. Aji, Tuskegee University; M. Javed Khan, Tuskegee University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

(the website will be included in thefinal paper. This website also contains details information about the project and theimplementation methodology).Data were collected to answer the following research questions:(a) To what extent does the pedagogical approach impact the attitudes of students towardsSTEM?(b) To what extent does the pedagogical approach improve the content knowledge of thestudents?(c) To what extent are teachers accepting and comfortable with the pedagogical approach?The Science/Math Teachers Efficacy Belief Instrument (S/MTEBI) [24] was used to measure theattitudes of the participant teachers. This 25-item instrument measures the Teacher EfficacyBelief (13 items) and Teaching Outcome Expectancy (12 items) dimensions on a 5

Conference Session

Experimentation and Laboratory-oriented Studies Division Technical Session 5

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Jacob Robert Huene, Oral Roberts University; Michael Stephen Huene, Oral Roberts University; Esther Marie Spear, Oral Roberts University; Ezra Whitman Walblay, Oral Roberts University; Harley Craig, Oral Roberts University; John E Matsson, Oral Roberts University

Tagged Divisions

Experimentation and Laboratory-Oriented Studies

volume of waterwith solid body rotation can be shown to be ω 2 R14 h0 (3RR12 − R3 − 2R13 ) V = π[h1 R12 + + ] (2) 4g 3(R0 − R)where h1 (m) is the height of the water at the center of the frustum, ω (rad/s) is the angularvelocity, g (m/s2 ) is the acceleration due to gravity, and R1 (m) is the radius at the highestpoint of water. With the volume of water without rotation being the same as the volume ofwater with rotation (non-filtering assumption), the volume equation with rotation can beequated to the volume equation without rotation. With this, the resulting equation can

Conference Session

Research on Engineering Ethics Education and Practice

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Rockwell Franklin Clancy III, University of Michigan-Shanghai Jiao Tong University Joint Institute; Charlemagne Manuel, University of Michigan Shanghai Jiao Tong University Joint Institute; Richard James Clancy, University of Colorado Boulder

Tagged Divisions

Engineering Ethics

,” Cogn. Sci., vol. 35, no. 5, pp. 997–1007, 2011.[3] M. Alfano, A. Higgins, and J. Levernier, “Identifying Virtues and Values Through Obituary Data-Mining,” J. Value Inq., vol. 52, no. 1, pp. 59–79, 2018.[4] S. J. Kulich and R. Zhang, “The multiple frames of ‘Chinese’ values: From tradition to modernity and beyond,” in Oxford Handbook of Chinese Psychology, M. H. Bond, Ed. Oxford: Oxford University Press, 2012, pp. 241–278.[5] J. Graham, B. A. Nosek, J. Haidt, R. Iyer, S. Koleva, and P. H. Ditto, “Mapping the Moral Domain,” J. Pers. Soc. Psychol., 2011.[6] J. Graham, J. Haidt, M. Motyl, P. Meindl, C. Iskiwitch, and M. Mooijman, “Moral Foundations Theory: On the Advantages of Moral Pluralism over

Conference Session

The Best of First-year Programs Division

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Campbell R. Bego, University of Louisville; Jason Immekus, University of Louisville; Jeffrey Lloyd Hieb, University of Louisville

Tagged Divisions

First-Year Programs

] M. W. Ohland, G. Zhang, B. Thorndyke, and T. J. Anderson, “The creation of the multiple-institution database for investigating engineering longitudinal development (MIDFIELD),” in ASEE Annual Conference Proceedings, 2004.[13] G. Zhang, T. J. Anderson, M. W. Ohland, and B. R. Thorndyke, “Identifying factors influencing engineering student graduation: A longitudinal and cross-institutional study,” J. Eng. Educ., 2004.[14] J. L. Hieb, K. B. Lyle, P. A. S. Ralston, and J. Chariker, “Predicting performance in a first engineering calculus course: Implications for interventions,” Int. J. Math. Educ. Sci. Technol., vol. 46, no. 1, pp. 40–55, 2015.[15] C. Moller-Wong and A. Eide, “An engineering student

Conference Session

STEM Issues in ET II

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Vukica M. Jovanovic, Old Dominion University; Otilia Popescu, Old Dominion University; Murat Kuzlu, Old Dominion University; Mujde Erten-Unal, Old Dominion University; Balša Terzić , Old Dominion University; George McLeod, Old Dominion University; Tysha Batts, Virginia Space Grant Consortium; Cynthia Tomovic, Old Dominion University

Tagged Topics

Diversity

Tagged Divisions

Engineering Technology

the subject areas below. 8Post-program interests in STEM was different among genders. Male students were more likely toselect “interested” or “very interested” in all four STEM areas than their female peers. Femalestudents were more likely to select “slightly interested” option for technology and engineeringmajors than their male peers. Option “not interested” was selected more times by female studentsthan male students for each one of the STEM fields. 100% Pre and Post-Survey - Male 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% S-Pre S-Post T-Pre T-Post E-Pre E-Post M-Pre M-Post Not

Conference Session

Professional Development for Graduate Students

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Melissa Gavin, University of Wisconsin, Platteville; Randy Mentz, University of Wisconsin, Platteville; Lori M. Wedig, University of Wisconsin, Platteville; Christine H. Storlie, University of Wisconsin, Platteville; Eric Herbst, University of Wisconsin, Platteville

Tagged Divisions

Graduate Studies

inthe workplace.As part of an NSF S-STEM grant, the University of Wisconsin - Platteville implemented a seriesof professional development opportunities to STEM Master Students on a variety of topics. Inasking students about topics they wanted, students reported a need for soft skills. Knowing thestudents desire to learn about soft skills and knowing that employers find soft skills essential, theteam wanted to determine how effective incorporating professional development opportunities,called “Scholar Spots,” to the scholarship program were at increasing the student’s ability in thetopic areas.The team decided to advance students’ learning about soft skills through a series of monthlywebinars, dubbed “Scholar Spots.” Each spot was required

Conference Session

Minoritization Processes and Critical Responses

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Madeleine Jennings, Arizona State University; Rod D. Roscoe, Arizona State University; Nadia N. Kellam, Arizona State University; Suren Jayasuriya, Arizona State University

Tagged Topics

Diversity

Tagged Divisions

Liberal Education/Engineering & Society

-class, and homosexual men and women. Therewere some exceptions belonging to bisexuals in the same demographic groups. Largely, thistheme described older works (late 1990’s to early 2000’s), and this body of work constituted thefoundation of what researchers know about the experiences of the LGBTQIA+ community(D’Augelli, 1992; Dilley, 2002). Privileged members of the LGBT community are largely white,male, cisgender, and middle-class. Ongoing research on this group is likely enforced bysampling. As Renn (2010) mentioned, “there is no longer a gap in the literature” with regard toLGB research in higher education. This trend seems to be reflected in other disciplines. Renndid, however, mention that as of 2010, there was still a gap in the

Conference Session

Student Success, Learning Strategies, and Retention in the Aerospace Industry

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

M. Javed Khan, Tuskegee University; Chadia A. Aji, Tuskegee University

Tagged Divisions

Aerospace

. Students in the upper division wereuncomfortable in a socially ambiguous situation as compared to students in the lower division. Thedata analysis did not suggest a correlation between the scores on the tolerance of ambiguity surveyand the engineering identity survey. The freshmen students’ intellectual models were toward thehigher levels and not the simple dualistic level.The surveys will be administered to additional (STEM and non-STEM) students, especially upperdivision students to have a better understanding of tolerance of ambiguity, development ofcognitive model and engineering identity.AcknowledgementThis work was supported by NSF Grant# 1832041.References1. https://recruitingdaily.com/why-the-u-s-has-a-stem-shortage-and-how-we-fix-it-part

Conference Session

Sociotechnical Integration

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Maysam Nezafati, Georgia Institute of Technology; Mel Chua, Georgia Institute of Technology; Joseph M. LeDoux, Georgia Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Liberal Education/Engineering & Society

technical audience. This provides an opportunity for instructors to discussthe differences between the two. Deliverables must include a quantitative diagram (sometimesdiscussed in class as an “engineering diagram”) of the design and a model with varyingparameters which shows the relationship between the components of the design. These diagramsand models must be used to demonstrate the problematic effect(s) of bias in the older design, aswell as the potential positive impact of the new ones proposed. Students will also have reflectivewriting prompts to complete after creating this deliverable.Preliminary resultsThis intervention design is being piloted in Spring 2020 across multiple class sections with acombined total of 91 students. Although the

Conference Session

Computers in Education Division Technical Session 11

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Milo Koretsky, Oregon State University

Tagged Divisions

Computers in Education

studentsshouldn't be afraid to ask questions. Sometimes, ideas around status, popularity, or competenceprevent students from asking questions. This fear limits the opportunity for students to usestudios as an environment to learn and grow.” We also see general shifts in beliefs, e.g., from amore “transmission-based” conception of learning to a more constructivist view.ReferencesBlosser, P. (2000). How to Ask the Right Questions. National Science Teachers Association.Brown, J. S., Collins, A., & Duguid, P. (1989). Situated cognition and the culture of learning. Educational researcher, 18(1), 32-42.Campbell, T., Schwarz, C., & Windschitl, M. (2016). What we call misconceptions may be necessary stepping-stones toward making sense of the world

Conference Session

Computers in Education Division Technical Session 3: Digital Learning Part I

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Bryan Weber, University of Connecticut

Tagged Divisions

Computers in Education

and procedures for handling assessments.References [1] ABET | ABET accreditation. [Online]. Available: https://www.abet.org/. [2] Criteria for Accrediting Engineering Programs, 2019 – 2020 | ABET, en-US. [Online]. Available: https://www.abet.org/accreditation/accreditation- criteria/criteria-for-accrediting-engineering-programs-2019-2020/. [3] N. E. Adams, “Bloom’s taxonomy of cognitive learning objectives,” Journal of the Medical Library Association : JMLA, vol. 103, no. 3, pp. 152–153, Jul. 2015, issn: 1536-5050. doi: 10.3163/1536-5050.103.3.010. [4] B. S. Bloom, Taxonomy of Educational Objectives: The Classification of Educational Goals, 1st ed. Longman, 1956. [5] C. C. Bonwell and J. A. Eison, Active

Conference Session

Green Energy Manufacturing and Sustainable Energy Management

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Jung-Uk Lim, Liberty University; Kyung K. Bae, Liberty University; Hector E. Medina, Liberty University

Tagged Divisions

Energy Conversion and Conservation, Manufacturing

theAPVAWT capstone team has passed will be introduced to show how the engineering students ofthe team design and build the APVAWT system with the Liberty art students. 2.1 Decision Gate 1 – Stakeholder RequirementsThe 1st decision gate is to identify and confirm stakeholder requirements that guide the capstoneteam in understanding what is needed to be accomplished for the project and the class. Here,stakeholders represent all entities who are involved in this project: the capstone team, theclient(s), and the class instructor. Table 1 shows stakeholder requirements the team presentedand is required to fulfill. Table 1 – Stakeholder Requirements for Design and Construction of the APVAWT Task ID Name Description

Conference Session

Computing and Information Technology Division Technical Session 6

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Peng Li, East Carolina University

Tagged Divisions

Computing and Information Technology

complicated virtual environments. It is uncertain that the grant program will continue to offerfree credits in the future. Third, students create their own accounts and therefore usermanagement is a problem.In the future, we plan to develop more labs on commercial, public cloud systems and use VirtualPrivate Network (VPN) to connect students’ virtual machines with a central server to providebetter support and monitoring when needed. We are also considering integrating automaticassessment scripts through the central server on the public cloud to provide immediate feedback,which has been done successfully in some labs on our in-house, cloud-based systems.REFERENCES[1] D. Puthal, B. P. S. Sahoo, S. Mishra and S. Swain, "Cloud Computing Features, Issues

Conference Session

Systems Engineering Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Sabin Gianelloni, University of Illinois at Urbana-Champaign; Molly H. Goldstein, University of Illinois at Urbana - Champaign

Tagged Divisions

Systems Engineering

and designthinking and that their differences are due to differences in application and the nature of their usein a process [1]. The Inclusive Concept Model suggests that systems thinking is merely a specificapplication of design thinking and falls under the category of design thinking [1]. Lastly was theIntegrative Concept Model which suggests that systems and design thinking are part of the sametype of cognition with the perceived difference between them being due to a gap between theirapplication in industry and formal research. Using Greene et al.’s work as a springboard, wecontinued exploration of the systems/design thinking relationship.Our paper is structured to first examine the emergent cognitive abilities and attributes of

Conference Session

Materials Division Technical Session 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Reihaneh Jamshidi, University of Hartford; Kamau Wright, University of Hartford; Paul E. Slaboch, University of Hartford

Tagged Divisions

Materials

Foundation. The Foundation was established by Stanton andElisabeth Davis after Mr. Davis's retirement as chairman of Shaw's Supermarkets, Inc.References[1] S. Pulford, J. Tan, M. Gonzalez, and A. Modell, "Satisfaction: Intrinsic and Extrinsic Motivation in Engineering Writing Coursework," in 125th ASEE Annu. Conf. Expo, 2018.[2] J. D. Ford, "Knowledge transfer across disciplines: Tracking rhetorical strategies from a technical communication classroom to an engineering classroom," IEEE Transactions on Professional Communication, vol. 47, no. 4, pp. 301-315, 2004.[3] D. A. Winsor, "Engineering writing/writing engineering," College composition and communication, vol. 41, no. 1, pp. 58-70, 1990.[4] L. Reave

Conference Session

Faculty Development Medley!

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Cassondra Wallwey, Ohio State University; Rachel Louis Kajfez, Ohio State University

Tagged Topics

Diversity

Tagged Divisions

Faculty Development Division

, “Teacher and Student Attitudes Toward Teacher Feedback,” RELC J., vol. 38, no. 1, pp. 38–52, 2007.[4] E. Ekholm, S. Zumbrunn, and S. Conklin, “The relation of college student self-efficacy toward writing and writing self-regulation aptitude: writing feedback perceptions as a mediating variable,” Teach. High. Educ., vol. 20, no. 2, pp. 197–207, 2015.[5] R. Yoshida, “Teachers’ choice and learners’ preference of corrective feedback types,” Lang. Aware., vol. 17, no. 1, pp. 78–93, 2008.[6] O. H. A. Mahfoodh and A. Pandian, “A Qualitative Case Study of EFL Students’ Affective Reactions to and Perceptions of Their Teachers’ Written Feedback,” English Lang. Teach., vol. 4, no. 3, pp. 14–25, 2011.[7] T. Ryan and M

Conference Session

ECCD - Technical Session 1 - Energy & Electrical Engineering

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Aman Luthra, University of Georgia; Tom Lawrence P.E., University of Georgia; John M. Mativo, University of Georgia

Tagged Divisions

Energy Conversion and Conservation

which corresponded to speed-limit changesbetween roads along the driven route. These sections are highlighted in Figure 2 by sudden dropsand spikes of the car velocity where a stoplight, stop sign, or turn was encountered. The recordedreadings were grouped 1-8, 9-18, 19-25, 26-34, 35-45, 46-66, 67-85, 86-103, 104-124, 125-130,131-133, 134-149, 150-158, 159-165, 166-173, and 174-183 to make up the sixteen sections. Figure 3: Car velocity (m/s) versus anemometer reading (m/s) In Figure 4, the average car velocities of the readings in each section, shown as bluemarkers, were calculated and plotted versus the average air velocity recorded in the anemometerof each section, shown as red markers. The plotted values are in

Conference Session

Improvements in ECE Circuit Analysis

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Eva Cosoroaba, University of Vermont

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer

. Guskey, and L. A. Jung, “Response-to-intervention and mastery learning: tracing roots and seekingcommon ground,” The Clearing House, vol. 84, no. 6, pp. 249-255, 2011[3] – M. W. Bonner, “Grading rigor in counselor education: a specifications grading framework,” EducationalResearch Quarterly, vol. 39, no. 4, pp 21-42, 2016[4] – G. G. Shaker, and S. K. Nathan, “Teaching about celebrity and philanthropy: a case study of backward coursedesign,” The Journal of Nonprofit Education and Leadership, vol. 8, nr. 4, pp 403-421, 2018[5] – J. Ring, “Specifications Grading in the Flipped Organic Classroom,” Journal of Chemical Education, vol. 94,no. 12, pp 2005-2006, 2017[6] – L. Pope, H. B. Parker, and S. Ultsch, “Assessment of specifications grading in an

Conference Session

Mechanical Engineering Technical Session: Fluid Mechanics

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

John Palmore Jr., Virginia Tech

Tagged Divisions

Mechanical Engineering

asked on the platform. The platform does not have a good interface for the display ofdrawings or mathematical formulae, which are important in upper-division engineering courses.To work around this, this author began to exploit the image upload feature of Kahoot! to upload asingle image containing all drawings, necessary formula, and the multiple choice answerselections [20]. The students then simply choose the shape/color corresponding to ABCD in theKahoot! app. An example of such an image is demonstrated in fig. 2. It can be seen that thegeneric purple kahoot! background that was demonstrated in fig. 1 has been replaced by an imagecontaining the question. This example deals with the strain rate tensor, S, that had been recentlyintroduced in

Conference Session

Data-informed Approaches to Understanding Student Experiences and Outcomes

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Mariem Boujelbene, University of Louisville; Khalil Damak, University of Louisville; Asuman Cagla Acun Sener, University of Louisville; Jeffrey Lloyd Hieb, University of Louisville; Campbell R. Bego, University of Louisville; Patricia A. Ralston, University of Louisville; Olfa Nasraoui , University of Louisville

Tagged Divisions

Educational Research and Methods

An instructor and postdoctoral researcher in engineering education, Campbell R. Bego, PhD, PE, is inter- ested in improving STEM student learning and gaining understanding of STEM-specific learning mech- anisms through controlled implementations of evidence-based practices in the classroom. Dr. Bego has an undergraduate Mechanical Engineering degree from Columbia University, a Professional Engineering license in the state of NY, and a doctorate in Cognitive Science.Dr. Patricia A Ralston, University of Louisville Dr. Patricia A. S. Ralston is Professor and Chair of the Department of Engineering Fundamentals at the University of Louisville. She received her B.S., MEng, and PhD degrees in chemical engineering from

Conference Session

Industrial Engineering Division Technical Session 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Christian Enmanuel Lopez, Lafayette College; Omar Ashour, Pennsylvania State University; James Devin Cunningham; Conrad Tucker, Carnegie Mellon University; Paul C. Lynch, Pennsylvania State University

Tagged Divisions

Industrial Engineering

twogroups were statistically comparable (i.e., support groups’ homogeneity), demographics,preparation level, personality types, and VR and gaming experience levels were collected at thestart of the course (see Figure 2 and Table 1). Figure 2. Experimental protocol usedTable 1. The instruments used in this study Instrument Description Event Time Demographics Collects demographic information such as age, gender, and race. It At the beginning of also collects information about the student preparation level (GPA the semester in the and the prerequisite course(s) grade(s)), semester standing

Conference Session

Advances in Additive, Hybrid, and Digital Manufacturing Education

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Robert Simoneau

Tagged Divisions

Manufacturing

. Capstones courses can be somewhat limited and late in the coursesequence. What is needed is continuous exposure to support consumer value – true productivityto make the needed pedagogical impact. Sadly, recalls abound annually and there is no lack ofexamples.Recalls provide the needed context to engage and enhance a student’s intellectual interest; theneed to identify and solve a problem(s). As students enters individual courses these recalls,within the balanced scorecard milieu, girded by IoT can help to engage student’s intellectual Page 10 of 16curiosity. They can see the direct application of course content throughout their program ofstudy. In addition, the

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

/resources/SP13_3268_West_Report_2015.pdf.[29] H. Najafi, L. Harrison, C. Geraghty, G. Evans, Q. Liu, and G. antz., "Learning analytics in Ontario post-secondary institutions: An environmental scan," Toronto, ON: eCampusOntario, 2020, Available: https://www.ecampusontario.ca/wp- content/uploads/2020/03/2019-03-27-learning-analytics-scan-en.pdf.[30] J. S. Gagliardi, A. Parnell, and J. Carpenter-Hubin, "The analytics revolution in higher education: Big data, organizational learning, and student success." Sterling, VA: Stylus Publishing, 2018.[31] AIR, EDUCAUSE, and NACUBO, "A joint statement on analytics from AIR, EDUCAUSE and NACUBO." 2019, Available: https://changewithanalytics.com/statement/[32] J

Conference Session

DISTINGUISHED LECTURE: 2019 Best PIC, Zone, and Diversity Papers Live Q&A

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Eric Davishahl, Whatcom Community College; Todd Haskell, Western Washington University; Jill Davishahl, Western Washington University; Lee Singleton, Whatcom Community College; Wade H. Goodridge, Utah State University

Tagged Topics

2019 Best Zone & PIC Papers

representational competence in the context of vectoranalysis. This approach is similar to that taken by Klein et al in developing an RC assessmentfor kinematics [15].Table 1. Summary of vector concepts and representations for each item on the TRCV (v2.0).The representations listed in the two right columns include Pictorial, Symbolic, narrativeLanguage, Numeric, and Diagram. Item Relevant Vector Concepts Representations Question Answers 1 2D, position vectors, vector addition PL S 2 2D, cross product PLS L 3 2D, Cartesian

Conference Session

First-Year Programs: Major Choice

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Laura Hirshfield, University of Michigan; Stacie Edington, University of Michigan; Michael Dailey, University of Michigan

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

, and A. S. Malik, “The influences of emotion on learning and memory,” Front. Psychol., vol. 8, no. 1454, 2017.[3] M. J. Riemer, “Integrating emotional intelligence into engineering education,” World Trans. Eng. Technol. Educ., vol. 2, no. 2, pp. 189–194, 2003.[4] D. Kim and B. K. Jesiek, “Work-in-Progress: Emotion and intuition in engineering students’ ethical decision-making and implications for engineering ethics education,” 2019.[5] A. Bandura, Self-Efficacy: The Exercise of Control. New York, NY: Freeman, 1997.[6] F. Pajares, “Self-efficacy in academic settings,” in American Educational Research Association, 1995.[7] D. W. McMillan and D. M. Chavis, “Sense of community: A definition and theory,” J