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Conference Session
Engineering Management Division Technical Session 2
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Ekaterina Koromyslova, South Dakota State University; Anna Sadovnikova, Monmouth University
Tagged Divisions
Engineering Management
Conference Session
Engineering Management Division Technical Session 1
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Ben D. Radhakrishnan, National University; James Jay Jaurez, National University
Tagged Divisions
Engineering Management
throughalgorithms is referred to as Machine Learning (ML) and Deep Learning (DL). Figure 1 showshow the two self-learning techniques are encapsulated within AI technology implementation, asdescribed by IBM. With the help of hi-powered computers, these algorithmic self-trainingtechnologies can process large amounts of data and recognize patterns. Adoption of these willresult in a new set of Tools Techniques and Procedures (TTPs)s for better PM performance wellbeyond what is currently being used. Figure 1. AI and its Encapsulated Self-Learning MethodsWell known and widely used implementation of AI is IBM’s Watson, Apple’s Siri, and Google’sAssistant. AI technology implementation is spreading wide and fast into many other areas suchas
Conference Session
Engineering Management Division Technical Session 2
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Yooneun Lee, University of Dayton; Sandra L. Furterer, University of Dayton
Tagged Divisions
Engineering Management
: anexperiential and interactive approach. ACM SIGCSE Bulletin, 41(1), 392-396.Conway, R., Kember, D., Sivan, A., & Wu, M. (1993). Peer assessment of an individual’s contribution toa group project. Assessment & Evaluation in Higher Education, 18(1), 45-56.Hall, D., & Buzwell, S. (2013). The problem of free-riding in group projects: Looking beyond social loafingas reason for non-contribution. Active Learning in Higher Education, 14(1), 37-49.Kanigolla, D., Cudney, E. A., Corns, S. M., & Samaranayake, V. A. (2014). Enhancing engineeringeducation using project-based learning for Lean and Six Sigma. International Journal of Lean Six Sigma.Montgomery, D. C., Burdick, R. K., Lawson, C. A., Molnau, W. E., Zenzen, F., Jennings, C. L., ... &
Conference Session
Engineering Management Division Technical Session 3
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Jena Shafai Asgarpoor, University of Nebraska - Lincoln; Yaoling Wang, University of Nebraska - Lincoln
Tagged Divisions
Engineering Management
Education, Jan. 11, 2021. [Online]. Available: https://doi.org/10.1080/07377363.2020.1847968. [Accessed Mar. 5, 2021].[9] D. Blackwood, D. L. Peters, and E. Gross, “Disciplinary Migration of Engineering Master’s Students: Why do Some Students Change their Majors and Others do Not?” in American Society for Engineering Education Annual Conference & Exposition, Tampa, Florida, USA, June 15, 2019.[10] S. Jaggars, “Online learning in community colleges,” In Handbook of distance education, M. G. Moore Ed. New York, NY: Routledge, 2012, pp. 594-608.[11] J. C. Ortagus, “From the periphery to prominence: An examination of the changing profile of online students in American higher education,” The Internet
Conference Session
Engineering Management Division Technical Session 3
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Mustafa Shraim, Ohio University; Kelly Allan, Kelly Allan Associates, Ltd.
Tagged Divisions
Engineering Management
introduction inthe early 1990’s including transformational leadership, organizational transformation, learningorganizations, and motivation.1. Appreciation for a System: According to Deming, a system is “a network of interdependent components that work together to try to accomplish the aim of the system.” Leaders must know how to lead and optimize a system, and not destroy it. The aim of the system must be clear to everyone involved in this man-made system. Additionally, the aim must be related to value and better life for its consumers. For example, there is a difference between a company that has an aim of producing cars and another company that has an aim of solving mobility needs. The latter more likely involves greater creativity and
Conference Session
Engineering Management Division Technical Session 1
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Kellie Grasman, Missouri University of Science and Technology; Suzanna Long, Missouri University of Science and Technology
Tagged Divisions
Engineering Management
. She serves as an eMentor for the University of Missouri System and earned a Faculty Achievement Award for teaching.Dr. Suzanna Long, Missouri University of Science and Technology Dr. Suzanna Long is Professor and Department Chair of Engineering Management and Systems Engineer- ing (EMSE) at Missouri S&T and holds a Ph.D. and M.S. in engineering management, B.S. in physics and in history (University of Missouri-Rolla) and an M.A. in history (University of Missouri-St. Louis). Her research focuses on critical infrastructure systems, including sustainability in global supply chains, energy, and transportation systems. She is a recognized expert in sociotechnical systems. She is a Fellow of the IISE and the ASEM
Conference Session
Engineering Management Division Technical Session 2
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Minha R. Ha, York University; Aleksander Czekanski , CEEA-ACEG
Tagged Divisions
Engineering Management
uncertainty. Cambridge, UK: Polity Press, 2001.[5] A. Strauss and J. Corbin, Basics of Qualitative Research: Grounded Theory Procedures and Techniques Second Edition Edition, 2nd ed. Newbury Park, CA: SAGE, 1990.[6] N. Fairclough, Critical discourse analysis: The critical study of language. New York: Longman, 1995.[7] S. Winton, “Rhetorical analysis in critical policy research,” Int. J. Qual. Stud. Educ., vol. 26, no. 2, pp. 158–177, 2013.[8] J. Meyer and R. Land, “Threshold Concepts and Troublesome Knowledge : Practising within the Disciplines,” 2003.[9] M. R. Ha and A. Czekanski, “Towards A Conceptual Model Of Design Team Learning In Mechanical Engineering Education,” in Proceedings of The Canadian Society for