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- Industrial Engineering Division (IND) Technical Session 4
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Paper ID #38763Impacting engineering students’ academic trajectories through a learningoutcomes enhancement cycleMrs. Javiera Espinoza, Pontificia Universidad Catolica de Valparaiso Javiera Espinoza von Bischhoffshausen is a lecturer and curriculum design specialist in the Department of Industrial Engineering at the Pontifical Catholic University of Valparaiso (PUCV). She has an M.A. in Higher Education from the University of Michigan (2020). In addition, she has a B.S. in Industrial Engineering from PUCV, Chile (2012). Her research interests include engineering education, particularly curricular design, quality
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- Industrial Engineering Division (IND) Technical Session 4
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- 2024 ASEE Annual Conference & Exposition
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- David Parsley, University of Kentucky
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Kentucky. ©American Society for Engineering Education, 2024 Enhancing Engineering Education Through Virtual Reality Training Experiences: Developing Skills in Continuous Improvement of Manufacturing Systems David ParsleyFujio Cho Department of Engineering Technology, University of Kentucky, Lexington, KY 40506AbstractThe integration of Virtual Reality (VR) training experiences into engineering education allowsfor a transformative teaching approach, allowing instructors the opportunity to expose students toa variety of immersive and interactive learning environments within the classroom setting. Thispaper explores the utilization of VR
- Conference Session
- Industrial Engineering Division (IND) Technical Session 4
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- 2023 ASEE Annual Conference & Exposition
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- Sara C. Vick, Mississippi State University; Lesley Strawderman P.E., Mississippi State University; Brian K. Smith, Mississippi State University
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world better”.Dr. Lesley Strawderman P.E., Mississippi State University Lesley Strawderman received her Ph.D. in Industrial Engineering from Pennsylvania State University in 2005. She has also received a M.S.I.E. from Pennsylvania State University and a B.S.I.E. from Kansas State University. She joined the Industrial and Systems Engineering faculty at Mississippi State Univer- sity in August 2006, where she currently serves as Associate Professor and Undergraduate Coordinator. Dr. Strawderman’s research interests center around human factors and ergonomics. She is registered Professional Engineer (PE) in Mississippi and an active member of IIE, HFES, and ASEE.Dr. Brian K. Smith, Mississippi State University
- Conference Session
- Industrial Engineering Division (IND) Technical Session 1
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- 2024 ASEE Annual Conference & Exposition
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- Khalid Bello, University of Louisville; Faisal Aqlan, University of Louisville; Danielle Wood, University of Notre Dame
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.Cummins, C., Doyle, J., Kindness, L., Lefthand, M. J., Don't Walk, U. J. B., Bends, A. L., Broadaway, S. C., Camper, A. K., Fitch, R., & Ford, T. E. (2010). Community-based participatory research in Indian country: Improving health through water quality research and awareness. Family & community health, 33(3), 166-174.Dunbar, D., Terlecki, M., Watterson, N., & Ratmansky, L. (2013). An Honors Interdisciplinary Community-Based Research Course. Honors in Practice, 9, 129-140.El-Atta, A. H. A., & Moussa, M. I. (2009). Student project allocation with preference lists over (student, project) pairs. 2009 Second International Conference on Computer and Electrical Engineering,Israel, B. A., Schulz
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- Industrial Engineering Division (IND) Technical Session 3
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- 2023 ASEE Annual Conference & Exposition
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- Oladayo John Akinpelu; Oludayo Samuel Alamu, Morgan State University; Oludare Adegbola Owolabi P.E., Morgan State University; Neda Bazyar Shourabi, Pennsylvania State University, Berks Campus; Ayodeji B. Wemida; Mulugeta T Dugda, Morgan State University; Jumoke 'Kemi' Ladeji-Osias, Morgan State University; Pelumi Olaitan Abiodun, Morgan State University
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successful teaching strategy.It can be used in a virtual environment or regular college classroom settings. Active learningteaching approaches have been found to improve student learning, raise retention rates, and closethe achievement gap between various student populations in college science, technology,engineering, and mathematics (STEM) courses [4]. Beyond the subject of electrical engineering,active learning pedagogies have been applied extensively in industrial engineering [5-7].For STEM students, in particular, who learn best in courses with hands-on laboratories, aneffective online instructional practice uses a variety of active learning pedagogies as shown inFigure 1. There is a considerable level of discontent with online engineering
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- Industrial Engineering Division (IND) Technical Session 4
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- 2024 ASEE Annual Conference & Exposition
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- Eric John Estadt, Pennsylvania State University; Khoa Nguyen, Pennsylvania State University; Kevin Skinner, Pennsylvania State University; Ashkan Negahban, Pennsylvania State University; Omar Ashour, Pennsylvania State University; Sabahattin Gokhan Ozden, Pennsylvania State University
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warehouse layoutsthrough the use of WARP at Penn State Abington College.Applications of Augmented Reality in Order Picking & Warehouse Layout DesignAR is a technology that displays virtual objects in the real world on a digital device’s screen,allowing users to interact with virtual objects and locations while moving about a real-worldenvironment. In contrast, a virtual reality user is immersed in a virtual world through a headset,allowing them to see and interact with a fully digital world controlled by the program.In order picking, a person is tasked with retrieving a picklist of items from locations in awarehouse and bringing them back for retrieval. In a single-item picklist, the picker will grab oneitem, and then return to the starting
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- Industrial Engineering Division (IND) Technical Session 4
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- 2024 ASEE Annual Conference & Exposition
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- Gibrán Sayeg-Sánchez, Tecnologico de Monterrey; Nicolás Amado-Moranchel, Tecnologico de Monterrey; Andres Esteban Acero, Tecnologico de Monterrey
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. They believe that they are more active, cankeep their attention better and enjoy the experience of relevant situations in a virtual environment[19]. The immersive nature of virtual reality captures students' attention and motivates them toactively participate in the learning process.When referring to Lean training and education, simulators are often used. These can take theform of desktop games, computer simulations, or full-scale simulators [20]. The advancement ofvirtual reality (VR) technology has created new opportunities beyond the realm of video games[21]. Some innovations rely in platforms for creating simulation environments using VR andartificial intelligence (AI) techniques. The combination of VR and AI enables the developmentof
- Conference Session
- Industrial Engineering Division (IND) Technical Session 1
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- 2024 ASEE Annual Conference & Exposition
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- Thomas Aming'a Omwando, Simpson University; Bhavana Kotla, Purdue Polytechnic Graduate Programs; Adel Alhalawani, Rose-Hulman Institute of Technology; Lisa Bosman, Purdue University at West Lafayette (PPI); Ashutosh Khandha, University of Delaware
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," Journal of the Korean association for science education, vol. 38, no. 6, pp. 875-883, 2018.[22] G. E. Dieter and L. C. Schmidt, Engineering Design, 6th ed., McGraw Hill, 2021.[23] D. W. Johnson, R. T. Johnson and K. A. Smith, Active Learning: Cooperation in the College Classroom, 3rd ed., Edina, Ed., Minnesota: Interaction Book Co., 2006.[24] P. Heller and M. Hollabaugh, "Teaching Problem Solving Through Cooperative Grouping. Part 2: Designing Problems and Structuring Groups," American journal of Physics, vol. 60, no. 7, pp. 637-644, 1992.[25] L. Bosman and K. Shirey, "Using Bio-Inspired Design and STEAM to Teach the Entrepreneurial Mindset to Engineers. In 2022 ASEE Annual Conference & Exposition.," in 2022 ASEE
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- Industrial Engineering Division (IND) Poster Session
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- 2023 ASEE Annual Conference & Exposition
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- Arunkumar Pennathur, The University of Texas at El Paso; Priyadarshini Pennathur, University of Texas at El Paso; Emily Blosser, University of Louisiana Lafayette; Nicholas A Bowman, University of Iowa
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–768, Aug. 2007, doi: 10.1016/j.ssci.2006.07.010.[10] S. Winter, N. Berente, J. Howison, and B. Butler, “Beyond the organizational ‘container’: Conceptualizing 21st century sociotechnical work,” Inf. Organ., vol. 24, no. 4, pp. 250– 269, Oct. 2014, doi: 10.1016/j.infoandorg.2014.10.003.[11] E. A. Erichsen, L. DeLorme, R. Connelley, C. Okurut-Ibore, L. McNamara, and O. Aljohani, “Sociotechnical Systems Approach: An Internal Assessment of a Blended Doctoral Program,” J. Contin. High. Educ., vol. 61, no. 1, pp. 23–34, Jan. 2013, doi: 10.1080/07377363.2013.758553.[12] T. Herrmann, “Learning and Teaching in Socio-technical Environments,” in Informatics and the Digital Society, vol. 116, T. J. van Weert and R. K. Munro, Eds
- Conference Session
- Industrial Engineering Division (IND) Technical Session 3
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- 2024 ASEE Annual Conference & Exposition
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- Ebisa Wollega, Colorado State University, Pueblo; Melissa Braddock; Lisa Bosman, Purdue University, West Lafayette
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. It is beneficial that students learn the generalimplications of using predictive models. The models utilize various AI algorithms, where analgorithm learns from a retrospective dataset that comprises samples and features to makepredictions. An AI algorithm trained on a balanced dataset produces good results, while analgorithm trained on a biased dataset may lead to unfavorable outcomes. Some dataset featurescan be eliminated as insignificant, and the AI algorithm is deployed only on the significantfeatures. There are many reasons why features are insignificant beyond using just biaseddatasets. However, it is worthwhile to investigate the effects of these insignificant features, asdetailed analyses can reveal damaging or positive consequences
- Conference Session
- Industrial Engineering Division (IND) Technical Session 4
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- 2023 ASEE Annual Conference & Exposition
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- Bruce Wilcox, University of Southern California; Yufan Fei; Jihao LI, University of Southern California; Junqiang Wang; Junmeng Xu, University of Southern California
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attributes (X1, X2, X3, X4, X5, X6) • X1 through X3 are correlated normal random variables with a mean vector of [100, 80, 𝟏𝟎 𝟗 𝟒 120] and a covariance matrix of [ 𝟗 𝟏𝟎 𝟔 ] 𝟒 𝟔 𝟐𝟎 • X5 is uniformly distributed with a min of 0 and a max of 100 • X6 is a categorical variable with values of Red (30%), Yellow (40%), or Blue (30%) • X4 is dependent on X1 and X3 according to the formula (creating a multicollinearity) 𝑿𝟒 = 𝑿𝟏 + 𝟏. 𝟓𝑿𝟐 + 𝜺, 𝜺~𝑵(𝟎, 𝟐𝟎) • The response variable has the relationship: 𝒀 = 𝐞𝐱𝐩 (𝟎. 𝟎𝟎𝟏 ∗ (𝟏𝟎𝟎 + 𝜷𝑿𝟏 + 𝟏. 𝟓𝑿𝟑 + 𝜺, 𝜺~𝑵(𝟎
- Conference Session
- Industrial Engineering Division (IND) Technical Session 3
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- 2023 ASEE Annual Conference & Exposition
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- Ekaterina Koromyslova, South Dakota State University; Carrie Steinlicht, South Dakota State University; Miriam Kanini Peter
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increased by 23% between2008 and 2013, and then increased by another 37% between 2013 and 2018 [16]. The AmericanSociety for Engineering Education (ASEE) reported another 20% increase in the 2020-2021academic year. The top four degrees granted in 2021 were Mechanical Engineering (23.8%),Computer Science (16.2%), Civil Engineering (9.3%) and Electrical Engineering (9.2%) [17, 39]. The National Center for Education Statistics (NCES) reported that in the 2007-2008academic year, 41.9% engineering and engineering technology bachelor’s degree recipients earnedcredits for Writing beyond English Composition with median of a 3 credits; and 24.5% earned a
- Conference Session
- Industrial Engineering Division (IND) Technical Session 1
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- 2024 ASEE Annual Conference & Exposition
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- Mahesh Kumar Pallikonda, Austin Peay State University; Hossain Ahmed, Austin Peay State University; Md. Ali Haider, Austin Peay State University; Ravi C Manimaran, Austin Peay State University
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Advanced Manufacturing Technology. Prior to joining APSU, he served as a faculty member at Ohio Northern University, where he taught courses on the fundamentals of electronics, including electrical circuits. At APSU, Dr. Pallikonda instructs courses specializing in Robotics and its applications, Engineering Economics, CAD and Manufacturing processes. Dr. Pallikonda is passionate about educating and inspiring the next generation of engineers, technologists, and innovators through his lectures. He is deeply committed to advancing the fields of robotics and manufacturing through interdisciplinary research in connected devices and Industrial Internet of Things (IIoT). His research interests span Manufacturing, Material
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- Industrial Engineering Division (IND) Technical Session 3
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- 2024 ASEE Annual Conference & Exposition
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- Enas Aref, Western Michigan University
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the learner has a low expectation of success, their motivation to learndeteriorates [19]. The active involvement of students in the learning process is essential to accomplish the assignedtasks [8]. When students are disengaged due to lack of communication, absence of both empathy andinclusion, and when they are poorly committed to a common goal, and fail to plan their work, conflictsarise. Researchers have found that conflicts weaken team cohesiveness[8], halts innovation during theideation phase [22], and may lead to social loafing [7]. Working in a team is not just an assignment, it isan experience that students live through and acquire. Student performance on a team can be improvedwhen propre knowledge and guidance are delivered by
- Conference Session
- Industrial Engineering Division (IND) Technical Session 1
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- 2024 ASEE Annual Conference & Exposition
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- Corey Kiassat, PhD, MBA, PE, Quinnipiac University
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- Industrial Engineering Division (IND)
visit, she discussed Lean Green at a highlevel and introduced the pertinent facts of one of her previous projects. The project involvedsustainability initiatives of the Canadian operations of a large multinational automobilemanufacturer headquartered in Europe. During her second visit, she went through the details ofthe case, discussing the analysis and recommendations. Student teams had an assignment duringthe two weeks in between her visits. In addition to Lean-specific concepts, the assignment hadcultural and global elements as well. It asked for research into the European Union’s 2050 long-term strategy compared to environmental policies of the United States, Canada, and Australia.The assignment prompt is presented in Appendix A-1.Mr