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Conference Session
Engineering Economy Division Technical Session 1
Collection
2018 ASEE Annual Conference & Exposition
Authors
Ona Egbue, University of South Carolina, Upstate
Tagged Divisions
Engineering Economy
results of this studyprovide insight into innovative teaching methods that can be applied to engineering economicscourses and other courses in STEM as well as associated challenges.References.Ankeny, C. J., & Krause, S. J. (2014). Flipped Biomedical Engineering Classroom using Pencasts and Muddiest Point Web-enabled Tools. Proceedings of The ASEE Annual Conference & Exposition, June 15 - 18, 2014. Indianapolis IN.Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410-8415.Benson, L. C., Orr, M. K
Conference Session
Engineering Economy Division Technical Session 1
Collection
2018 ASEE Annual Conference & Exposition
Authors
Erick Jones, University of Texas, Arlington; Billy Gray, Tarleton State University
Tagged Divisions
Engineering Economy
a combine or tractor, and is similar to payingstudent loans.This paper discusses a proposed study on the effects of engineering economics and student loandebt. The paper proposes topic areas in engineering economy and shows how these topic areaswere used in an initial study on PhD students. The research shows that not all PhD students havethe expected financial understanding even though they were pursuing PhD’s in engineering. It isbelieved that the study on undergraduate students will yield more benefit and help tackle themounting student loan debt in the US.References[1] M. Kantrowitz, Who graduates with excessive student loan debt. 2015 [Online]. Available: www.studentaidpolicy.com/excessive-debt/ [accessed 4 July 2016].[2] S. L
Conference Session
Engineering Economy Division Technical Session 1
Collection
2018 ASEE Annual Conference & Exposition
Authors
Aimee T. Ulstad, Ohio State University; Mehdi Mashayekhi, Ohio State University; Hannah Meckstroth, Ohio State University
Tagged Divisions
Engineering Economy
: 𝐻" : 𝜇 = 𝑥̄ 𝐻) : 𝜇 ≠ 𝑥 Table 1: One-sample z-test results between the Pre-course sample and the US Population Sample Standard Population Number of Mean of Pre- Deviation of Z-Test Mean of US Pre-Course P-value Course Pre-Course Statistic (𝜇) Students (n) Students (x̄ ) Students (s) 3.16 4.17 421 1.2602 16.44 <0.00001With a p-value <0.00001, we reject
Conference Session
Engineering Economy Division Technical Session 1
Collection
2018 ASEE Annual Conference & Exposition
Authors
James Burns, Purdue University, West Lafayette; Bob E. White P.E., Western Michigan University; Azim Houshyar, Western Michigan University
Tagged Topics
Diversity
Tagged Divisions
Engineering Economy
sources. Most students were able to identify potential moral or ethicalproblems and were also able to draw appropriate connections between personal morals, the Codeof Ethics for Engineers, and the situations described in the cases. Not surprisingly, studentsoften took strong positions surrounding the central issue(s) in the cases. The main difficultystudents had with was articulating a counter perspective when they perceived a clear ethicalproblem.The papers were evaluated using a scoring rubric in which points were awarded for addressingthe guiding questions (10 points), quality of writing (5 points), and how well they justified theirfinal position on the case (5 points). The summary from Part 1 was evaluated against the guidingquestions and