Conference Session

Industrial Engineering Division (IND) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sima Parisay, California State Polytechnic University, Pomona

Tagged Divisions

Industrial Engineering Division (IND)

verification, output analysis, and even design of experiments.Appendix A showcases a common student mistake to illustrate the value of this new pedagogicaltool. The example features a system deliberately designed to exhibit blow up (meaning it fallsinto an unsteady state with a queue that keeps growing, also known as pile up). Students oftenmiss this potential issue when building a simulation model with software, leading to challengesduring execution. These challenges are detailed within the Appendix.While some students might attempt to identify blow up issues through animation features in thesoftware, this method proves unreliable in this specific case. Animation, although a valuable toolfor understanding certain system dynamics, cannot replace a

Conference Session

Industrial Engineering Division (IND) Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

Israa Azzam, Purdue University, West Lafayette; Farid Breidi, Purdue University, West Lafayette; Faisal Aqlan, University of Louisville; Jose M Garcia, Purdue University; Paul Asunda, Purdue University, West Lafayette

Tagged Divisions

Industrial Engineering Division (IND)

Applications: Virtual and Augmented RealitiesOther educators adopted more immersive digital technologies like virtual reality (VR) andaugmented reality (AR) as pedagogical tools to tackle the problem of spatial visualization [27],[28]. VR is the technology that creates a simulated environment, immersing users in a realisticvirtual world that can be explored using computer-generated sensory experiences [29], [30]. Thistechnology has been excessively employed as a spatial visualization tool, given its ability to © American Society for Engineering Education, 2024 2024 ASEE Annual Conferenceexpose users to complex 3D graphics within a VR setting that mimics real-world scenarios [31]–[36].In a

Conference Session

Industrial Engineering Division (IND) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ebisa Wollega, Colorado State University, Pueblo; Melissa Braddock; Lisa Bosman, Purdue University, West Lafayette

Tagged Divisions

Industrial Engineering Division (IND)

] Kira, K., & Rendell, L. A. (1992). A practical approach to feature selection. In Machinelearning proceedings 1992 (pp. 249-256). Morgan Kaufmann.[4] Jabbar, H., & Khan, R. Z. (2015). Methods to avoid over-fitting and under-fitting insupervised machine learning (comparative study). Computer Science, Communication andInstrumentation Devices, 70(10.3850), 978-981.[5] Siau, K., & Wang, W. (2020). Artificial intelligence (AI) ethics: ethics of AI and ethicalAI. Journal of Database Management (JDM), 31(2), 74-87.[6] Hagerty, A., & Rubinov, I. (2019). Global AI ethics: a review of the social impacts andethical implications of artificial intelligence. arXiv preprint arXiv:1907.07892.[7] Jobin, A., Ienca, M., & Vayena, E. (2019