- Conference Session
- Industrial Engineering Division Technical Session 1
- Collection
- 2021 ASEE Virtual Annual Conference Content Access
- Authors
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Robert Kelley Bradley, Lamar University; James C. Curry, Lamar University; Victor Zaloom P.E., Lamar University; Brian Craig P.E., Lamar University; Berna Eren Tokgoz, Lamar University; Alberto Marquez P.E., Lamar University; Yueqing Li, Lamar University; Maryam Hamidi, Lamar University; Weihang Zhu, University of Houston; Xinyu Liu, Lamar University; Acyut Kaneria
- Tagged Topics
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Diversity
- Tagged Divisions
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Industrial Engineering
4COMM 1315 Public Speaking 3 TOTAL 15 TOTAL 15 SECOND YEARINEN 2373 Engineering Economics 3 INEN 3380 Work Design 3INEN 3322 Engr. Matls. & Procs. 3 ELEN 3310 Fundamentals of EE 3CVEN / MEEN 2301 Statics 3 MATH 3301 Diff. Eq. 3MATH 2318 Linear Algebra 3 Creative Arts Elective 3PHYS 2426 Physics II 4 PHIL 2306 Ethics 3 TOTAL 16
- Conference Session
- Industrial Engineering Division Technical Session 2
- Collection
- 2021 ASEE Virtual Annual Conference Content Access
- Authors
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John Case, United States Military Academy; Dereck Kennedy, United States Military Academy
- Tagged Divisions
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Industrial Engineering
courses when the material and text is relatively dense.Student Performance Analysis ConclusionsThere were multiple broader observations that stood out in the course of our regression modelanalysis. Student GPA was included in each regression model because it was presumed to be asignificant predictor of performance on graded events. We saw that GPA is significant in eachmodel and has the largest effect size in each model. GPA is a complex variable, because itcaptures the effects of student motivation, work ethic, discipline, and study habits and is at leastpartially confounded with the effects of quiz timing and quiz performance on motivation.Additionally, the interaction of quiz timing and quiz percentage was not significant in any models