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- Industrial Engineering Division Technical Session 1
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- 2019 ASEE Annual Conference & Exposition
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Weihang Zhu, University of Houston; Julia Yoo, Lamar University; James C. Curry, Lamar University; Brian Craig P.E., Lamar University; Hsing-wei Chu P.E., Lamar University; Jiang Zhou, Lamar University
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Diversity
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Industrial Engineering
Awarding S-STEM Scholarships to Current StudentsAbstractLamar University in Beaumont, Texas was awarded an NSF S-STEM grant “Industrial andMechanical Engineering Scholars with Scholarships, Career Mentoring, Outreach andAdvisement, Professional Societies and Engineering Learning Community (SCOPE) S-STEMProgram” in 2015. Unlike most scholarship programs that target incoming students, thisscholarship targets enrolled students who have demonstrated successful progress towards aMechanical Engineering or Industrial Engineering degree by having minimum grades of B inCalculus I, Calculus II and Physics I and an overall GPA of at least 3.0. The SCOPE programrequires scholarship recipients to be an active member of the
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- 2019 ASEE Annual Conference & Exposition
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Christian Enmanuel Lopez, Pennsylvania State University, University Park; Omar Ashour, Penn State Erie, The Behrend College; Conrad Tucker, Pennsylvania State University, University Park
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Industrial Engineering
] Total Cost Total Cost Scenario Device(s) Unit Price (40 students) (100 students)1 – preferred for upper Oculus Go $200 $8,000 $20,000level classes2* – preferred for lower Google Cardboard $15 $600 $1,500level classes3 Oculus Quest $400 $16,000 $40,0004 Google Daydream $99 $3,960 $9,9005*+ Samsung Gear $130 $5,200 $13,0006
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- Industrial Engineering Division Technical Session 2
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- 2019 ASEE Annual Conference & Exposition
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Emre Tokgoz, Quinnipiac University
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Industrial Engineering
Excel asthe second-best choice as explained by the participant in Figure 4 below. Figure 4. P1’s “overall” software choice for solving OR concepts (1)-(5).Changing the use of software package from Lingo to Matlab when linear programming changes to non-linearprogramming is an important outcome of this study; even though students learn multiple software packages tosolve a variety of problems, their ability to critically choose which program to be used when and how is avaluable experience for them. Participant P2 indicated Excel to be his/her favorite software to be used for ORapplications due to its ease of use, his/her choices to solve OR questions was a combination of Excel, Lingo andMatlab. A surprising aspect of P2’s response is
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- Industrial Engineering Division Technical Session 2
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- 2019 ASEE Annual Conference & Exposition
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Faisal Aqlan, Penn State Erie, The Behrend College; Richard Zhao, Penn State Erie, The Behrend College; Heather C. Lum, Pennsylvania State University; Lisa Jo Elliott, Pennsylvania State University
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Industrial Engineering
Society for Engineering Education (ASEE) Conference, pp. 1-13, 2017. 6. Girard, C., Ecalle, J. and Magnan. A. (2013). Serious games as new educational tools: how effective are they? A meta‐analysis of recent studies. Journal of Computer Assisted Learning, 29(3), 207-219. 7. Kapp, K.M. (2012). The gamification of learning and instruction: game-based methods and strategies for training and education. John Wiley & Sons. 8. Truman, S., Rapp, N., Roth, D., and von Mammen, S. (2018). Rethinking real-time strategy games for virtual reality. Proceedings of the 13th International Conference on the Foundations of Digital Games. 9. Martel, E., Su, F., Gerroir, J., Hassan, A., Girouard, A., and Muldner, K. (2015). Diving
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- Industrial Engineering Division Technical Session 2
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- 2019 ASEE Annual Conference & Exposition
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Nadiye O. Erdil, University of New Haven
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Diversity
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Industrial Engineering
- Making Connections Table 3 Pre and Post Student Performance Comparison DOE-F17 DOE-S17 QA-F17 QA-F16 QA-F15 Item (S) (NS) (S) (S) (NS) Course Grade – Average (max. 100) 71.00 66.21 88.39 76.90 71.03 pts.) Grade – Median Course 69.94 62.79 88.92 79.39 71.10 Course Grade - Standard Deviation 9.37 19.00 8.59 12.86 22.03 Course Grade - Minimum 53.75 33.31 74.00 49.49 20.62 Sample Size (N) 28 30
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- Industrial Engineering Division Technical Session 1
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- 2019 ASEE Annual Conference & Exposition
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Leonardo Bedoya-Valencia, Colorado State University, Pueblo; Yaneth Correa-Martinez, Colorado State University, Pueblo; Katherine Sofía Palacio, Fundacion Universidad del Norte; Luceny Guzman Acuña, Universidad del Norte
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Industrial Engineering
Modeling and Simulation in health care and energy planning. He has participated in several funded projects through various sources such as NASA, the Department of Homeland Security, and the Colombian Research Institute. He also have several years of experience working as a consultant for Pharmaceutical and energy companies in the U. S. and Latin America.Dr. Yaneth Correa-Martinez, Colorado State University, Pueblo Hasan School of BusinessMrs. Katherine Sof´ıa Palacio, Fundacion Universidad del Norte Education: PhD in Engineering Management, May 2014 - Old Dominion University, Norfolk, VA. Mas- ter of Science in Industrial Engineering, September 2006 - Universidad del Norte, Barranquilla, Colom- bia. Bachelor of
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- Industrial Engineering Division Technical Session 1
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- 2019 ASEE Annual Conference & Exposition
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Behin Elahi, Indiana University Purdue University, Fort Wayne
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Industrial Engineering
be avalue-added addition and will be included in future offerings of the course. The approachenhanced the learning experience by improving the attitudes of the students toward the subjectmatter. Some limitations of the study include the location and sample size. A larger, morediverse sample would provide broader results.ReferenceAlves, A.C., Moreira, F., Lima, R., Sousa, R., Dinis-Carvalho, J., Mesquita, D., Fernandes, S. and van Hattum-Janssen, N., 2012, November. Project Based Learning in first year, first semester of Industrial Engineering and Management: some results. In ASME 2012 International Mechanical Engineering Congress and Exposition, pp. 111-120. American Society of Mechanical Engineers.Amamou, S. and Cheniti
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- Industrial Engineering Division Technical Session 2
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- 2019 ASEE Annual Conference & Exposition
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Alejandro Salado, Virginia Tech; Andrew Katz, Purdue University, West Lafayette
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Industrial Engineering
decision making and risk management. Hoboken, New Jersey: Wiley, 2015.[6] B. V. Koen, Discussion of the method: Conducting the engineer’s approach to problem solving. New York, NY: Oxford University Press, 2003.[7] C. Murphy, P. Gardoni, and C. E. Harris, “Classification and moral evaluation of uncertainties in engineering modeling,” Sci. Eng. Ethics, vol. 17, no. 3, pp. 553–570, Sep. 2011.[8] I. van de Poel, “Investigating ethical issues in engineering design,” Sci. Eng. Ethics, vol. 7, no. 3, p. 429, Sep. 2001.[9] NSPE, “Code of Ethics for engineers,” 2007.[10] D. R. Haws, “The importance of meta-ethics in engineering education,” Sci. Eng. Ethics, vol. 10, no. 2, pp. 204–210, Jun. 2004.[11] J. S. Busby and M. Coeckelbergh
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- Industrial Engineering Division Technical Session 1
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- 2019 ASEE Annual Conference & Exposition
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Aimee T. Ulstad, Ohio State University; Lora Mavrouli, Ohio State University
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Industrial Engineering
production processes gives them a glimpse of some of the challenges engineers face when designing a new facility.For these reasons, it is a good model project for ISE student learning and worth sharing.References [1] ABET, “Criteria for Accrediting Engineering Programs, 2018-2019,” 2017. [Online]. Available: http://www.abet.org/wp-content/uploads/2017/12/E001-18-19-EAC-Criteria-11-29-17- FINAL_updated1218.pdf. [2] American Society of Engineering Education, ‘Transforming the Undergraduate Engineering Experience’, May 9-10, 2013, Arlington, VA.
[3] David P. Norton Robert S. Kaplan, et al. “Balanced Scorecard.” Harvard Business Review, hbr.org/topic/balanced-scorecard