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- Industrial Engineering Division Technical Session 1
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- 2020 ASEE Virtual Annual Conference Content Access
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Elif Akcali, University of Florida; Wayne C.W. Giang, University of Florida; McKenzie Landrum, University of Florida
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Industrial Engineering
course in industrial and systems engineering. DTSDcurriculum includes a series of idea generation exercises that the students completed individuallyor in teams. In each divergent thinking exercise, students were asked to generate multiple ideas fora given “problem” under a strict time constraint. After each exercise, a facilitated reflection sessionallowed for students to learn the idea generation approaches that were used by their peers. Weexamined the effectiveness of the DTSD module using two measures: (1) changes in self-perceptions of creative ability and mindsets and (2) reflections on the influence of DTSD training.Questionnaires containing the Short Scale of Creative Self and Creative and Fixed Mindsetmeasures were administered before
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- Engineering Economy Division Technical Session 1
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- 2020 ASEE Virtual Annual Conference Content Access
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Bradley James Schmid, University of Saskatchewan
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Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering
Canadian tax system but modifying this section to reflect the U.S. tax system (orany country’s system) should not be an onerous endeavor for a course instructor familiar withtheir local tax structure. Many of the examples used in the textbook relate to Canadian industriesand businesses. While there is nothing wrong with keeping these Canadian examples, it mayengage students more if the examples reflect the important industries or businesses of theirgeographic region.The authors of this current version of the open textbook would like to encourage others to adoptthe textbook and may provide some assistance with modifications to help suit the needs of otherinstructors.Future work also includes studies to determine the effectiveness of this open
- Conference Session
- Industrial Engineering Division Technical Session 2
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- 2020 ASEE Virtual Annual Conference Content Access
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Michelle M Alvarado, University of Florida; Katie Leanne Basinger, University of Florida; Diego Alvarado, University of Florida; Behshad Lahijanian , University of Florida
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Diversity
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Industrial Engineering
Figure 3: Percentage of the video coverage by cohort (Pre-activity, Post-activity, and Pre-exam)3.2 Learning OutcomeTo help determine whether long or short-length videos were more effective, we also measuredstudents’ performance on in-video quizzes throughout the semester. The same quiz was given toboth groups. We continued using EQ 1 to determine which cohort students qualified for, and thecohort sizes were adjusted to reflect the earliest time period in which students watched the videos.In other words, now students only appear in one cohort. Figure 4 shows the percentage of studentswho took the video quiz in parenthesis for each cohort and the average percent scored for eachcohort on the x-axis. For the short group, the video quiz was at the
- Conference Session
- Industrial Engineering Division Technical Session 1
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- 2020 ASEE Virtual Annual Conference Content Access
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James Burns, Western Michigan University; Enas Aref, Western Michigan University; Mohammad Majd, Western Michigan University
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Industrial Engineering
Raw Adjustednecessarily reflect true differences. SESSION N Grouping Mean Mean 19AM 104 81.09% 81.46% AThe final model resulted in an RSQ of 18AM 100 77.87% 79.12% A B49.09% and included SESSION, 18PM 85 76.79% 77.47% A BMAJ, LABSCORE, HWSCORE, and 19PM 85 73.57% 75.46
- Conference Session
- Industrial Engineering Division Technical Session 2
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- 2020 ASEE Virtual Annual Conference Content Access
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Christian Enmanuel Lopez, Lafayette College; Omar Ashour, Pennsylvania State University; James Devin Cunningham; Conrad Tucker, Carnegie Mellon University; Paul C. Lynch, Pennsylvania State University
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Industrial Engineering
concepts while providing them an immersive andintegrative learning experience.AcknowledgmentThe authors would like to thank the National Science Foundation for funding this approach underGrant # 1834465. Any opinions, findings, or conclusions found in this paper are those of theauthors and do not necessarily reflect the views of the sponsors. The authors would also like tothank Joshua Mathews and Tyler Concannon for their help in developing the VR learningmodule used in this study.References1. Froyd, J. E. & Ohland, M. W. Integrated Engineering Curricula. J. Eng. Educ. 94, 147– 164 (2005).2. Maciejewski, A. A. et al. A Holistic Approach to Transforming Undergraduate Electrical Engineering Education. IEEE Access 5, 8148–8161
- Conference Session
- Industrial Engineering Division Technical Session 2
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- 2020 ASEE Virtual Annual Conference Content Access
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Richard Zhao, Pennsylvania State University; Faisal Aqlan, Pennsylvania State University; Lisa Jo Elliott, Pennsylvania State University; Ethan James Baxter, Pennsylvania State University
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Industrial Engineering
to study knowledge assessment, problem solving, andmetacognition in engineering students.AcknowledgementsThis research was funded by the National Science Foundation awards (PI: Aqlan) #1711603 and#1830741 and supplements #1811284 and #1905680. The authors would like to thank all membersof the research group for their contributions. Any opinions, findings, or conclusions found in thispaper are those of the authors and do not necessarily reflect the views of the sponsor.References[1] Aqlan, F., and Alfandi, L. “Prioritizing process improvement initiatives in manufacturing environments,” International Journal of Production Economics, 196, 261-268, 2018.[2] Spak, G.T. “US advanced manufacturing skills gap: Innovation education solutions,” In