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Conference Session
Industrial Engineering Division Technical Session 1
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Venugopalan Kovaichelvan, TVS Institute for Quality and Leadership, TVS Motor Company Ltd.; Patrick A. Brunese, Purdue University, West Lafayette
Tagged Divisions
Industrial Engineering
partnershipwith academic associates in India and abroad. We believe that this approach will providesustainable competitive advantage in a VUCA world.AcknowledgementsThe authors would like to thank the sponsor, and core team members of the basic and advancedprogram for their commitment and contribution to evolve the CoP, and the reviewers for theirmany helpful comments toward improving this paper.References[1] E. Wenger and B. Wenger-Trayner, “Communities of practice: a brief introduction,” Scholar's bank, University of Oregon, 15 April 2015. [Online]. Available: https://wenger- trayner.com/introduction-to-communities-of-practice/. [Accessed 14th January 2020].[2] E. C. Wenger and W. M. Snyder, “Communities of Practice: The Organizational Frontier
Conference Session
Industrial Engineering Division Technical Session 1
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Elif Akcali, University of Florida; Wayne C.W. Giang, University of Florida; McKenzie Landrum, University of Florida
Tagged Divisions
Industrial Engineering
the next section was conducted on this dataset of 32 complete responses.Findings and DiscussionTable 1 summarizes the data we obtained from the BFI. Tables 2.a and 2.b present the summaryof the data we obtained from the SSCS and the CMS. Recall that creative self-efficacy (CSE) is ameasure of one’s belief that they can be creative, whereas creative personal identity (CPI) is ameasure of one’s belief that they are creative. Also recall that fixed mindset represents a view thatcreativity is innate whereas growth mindset represents a view that creativity is something that cangrow and develop overtime. These four constructs together are used to assess the impact of DTSDtraining. Summer 2019 Summer 2019
Conference Session
Industrial Engineering Division Technical Session 2
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Richard Zhao, Pennsylvania State University; Faisal Aqlan, Pennsylvania State University; Lisa Jo Elliott, Pennsylvania State University; Ethan James Baxter, Pennsylvania State University
Tagged Divisions
Industrial Engineering
completed. In this simulation, the participants are first presented with a set of instructions on theirtasks. To assemble the toy car, the four participants are given the tasks, respectively: (a) The selection and assembly of wheels and axels; (b) The selection and assembly of tires and rims; (c) The selection and assembly of the base; (d) The selection and assembly of sides and roof; Once the participants are ready to start, the car order along with the set of customerrequirements are presented to the participants. For example, the requirements could be: (a) vehicle must have four tires, a windshield, a steering wheel and a roof; (b) all tires must be of the small-soft type; (c) vehicle base
Conference Session
Industrial Engineering Division Technical Session 1
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Lisa Bosman, Purdue University, West Lafayette; Aasakiran Madamanchi, Purdue University, West Lafayette; Scott R. Bartholomew, Purdue University, West Lafayette; Vetria L. Byrd, Purdue University, West Lafayette
Tagged Divisions
Industrial Engineering
apply practical understanding for the third time.See Appendix B for project requirements.Data Collection and Data AnalysisTwo sets of data were collected to assess the research questions. First, prior to the start of themodule, students completed PRE open-ended questions (shown below). Second, at the end of themodule, students responded to the same POST open-ended questions. The open-ended questionswill be analyzed qualitatively through thematic analysis to understand potential themes in the data.According to Braun and Clark [49], a thematic analysis is a foundational qualitative method fordiscovering patterns within the data. It should be conducted using a step by step process. Theresearchers first became thoroughly familiar with the data to
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
Women and Minorities in College Science and Engineering Education. Educ. Stat. Q. 2, 59–60 (2000).8. Kokkelenberg, E. C. & Sinha, E. Who succeeds in STEM studies? An analysis of Binghamton University undergraduate students. Econ. Educ. Rev. 29, 935–946 (2010).9. Geisinger, B. N. & Raman, D. R. Why They Leave: Understanding Student Attrition from Engineering Majors. This Artic. is from Int. J. Eng. Educ. 29, 1–12 (2013).10. Jensen, L. & Konradsen, F. A review of the use of virtual reality head-mounted displays in education and training. Educ. Inf. Technol. (2018). doi:10.1007/s10639-017-9676-011. Freina, L. & Ott, M. A literature review on immersive virtual reality in education: state of the art
Conference Session
Industrial Engineering Division Technical Session 1
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
James Burns, Western Michigan University; Enas Aref, Western Michigan University; Mohammad Majd, Western Michigan University
Tagged Divisions
Industrial Engineering
% BFactor (VIF) for SESSION is Raw Adjusted MAJ N Groupingmoderately high, although not Mean Meanalarmingly so. Residuals are ECE 41 82.70% 81.41% Anormally distributed and present CHM 68 82.62% 80.71% Aequal variance within the factor IE 42 80.53% 80.01% Alevels. Appendix B contains a full PAP 29 81.41% 79.30% Amodel summary and regression CIV
Conference Session
Engineering Economy Division Technical Session 1
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Brian Aufderheide, Hampton University; Otsebele E. Nare, Hampton University
Tagged Topics
Diversity
Tagged Divisions
Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering
Paper ID #31339Engineering Economy Taught Across Engineering Disciplines: Work inProgressDr. Brian Aufderheide , Hampton University Dr. Brian Aufderheide is Chairperson in Chemical Engineering at Hampton University. He completed his PhD in Chemical Engineering at Rensselaer Polytechnic Institute. His areas of expertise are in advanced control, design, and modeling of biomedical, chemical, and biological processes. He has consulted for both medical device and biotechnology companies. He was sole engineer and QC supervisor of a 40MM lb/yr custom extrusion company. He has over 15 years of experience in education developing over
Conference Session
Engineering Economy Division Technical Session 1
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Bradley James Schmid, University of Saskatchewan
Tagged Divisions
Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering
Paper ID #31276Development of an Open Textbook for Engineering EconomicsMr. Bradley James Schmid, University of Saskatchewan Brad Schmid is an assistant professor in Civil, Geological, and Environmental Engineering at the Univer- sity of Saskatchewan. c American Society for Engineering Education, 2020 Development of an Open Textbook for Engineering EconomicsAbstractKnowledge of Engineering Economics is a required outcome for accreditation in mostengineering colleges in Canada, the United States, and many other countries. This outcome isoften fulfilled by offering a course focused on Engineering
Conference Session
Industrial Engineering Division Technical Session 2
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Michelle M Alvarado, University of Florida; Katie Leanne Basinger, University of Florida; Diego Alvarado, University of Florida; Behshad Lahijanian , University of Florida
Tagged Topics
Diversity
Tagged Divisions
Industrial Engineering
Paper ID #29347Strategies for flipped classroom video development: educating generationZ engineering studentsDr. Michelle Alvarado, University of Florida Dr. Michelle Alvarado is an Assistant Professor at the University of Florida. She obtained her Ph.D. and M.Eng. in Industrial Engineering from Texas A&M University and her B.S. in Industrial Engineering from the University of Alabama. Dr. Alvarado is the Co-Founder and Co-Director of the HEALTH- Engine Laboratory. The aim of her engineering education research is to develop new methods and best practices of flipped classroom video development for simulation and