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- Elements of decision making in engineering economics education
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- 2025 ASEE Annual Conference & Exposition
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Robert J. Rabb P.E., Pennsylvania State University; Paul Mittan, Pennsylvania State University; Ted Graef, Pennsylvania State University
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Engineering Economy Division (EED)
alternatives (including their economic impact, social impact, etc.).Engineers need to be skilled decision-makers and evaluators, emphasizing the evaluation ofeconomic impact of those recommendations and decisions as taught in engineering economics.Course DevelopmentDeveloping a new course for undergraduate engineering students from many different programscan be burdensome with the amount of coordination required across different academic units.Some of the departments wanted their students to take a course like this early in the curriculum,so the course was developed with first- or second-year engineering students in mind with limitedexposure in any specific degree plan. This removed any minimum math requirement and allowedthe course to be developed to
- Conference Session
- Elements of decision making in engineering economics education
- Collection
- 2025 ASEE Annual Conference & Exposition
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Tamara R Etmannski, University of British Columbia, Vancouver; Mohosina Jabin Toma, University of British Columbia, Vancouver; Johan Foster, University of British Columbia, Vancouver
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Engineering Economy Division (EED)
coherence. Future work will include gathering andanalysing student feedback, refining materials based on recommendations, planning a morerigorous study comparing OER-using sections with textbook using sections, and expanding thepilot to additional departments to expand on annual student savings.6. EthicsAs confirmed by the UBC Behavioural Research Ethics Board (BREB) office, the work isconsidered “Quality Improvement and Assurance and Program Evaluation”, which under Article2.5 of the Tri Council Policy Statement is exempt from institutional ethics review requirements.This work therefore does not require ethics review for its performance or dissemination.7. References[1] T. R. Etmannski, S. Song, J. Sandhu, L. Kim, & A. Wang, “Online Open
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- AI Integration in Engineering Economy Course
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- 2025 ASEE Annual Conference & Exposition
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Dani Fadda, University of Texas at Dallas; Oziel Rios, University of Texas at Dallas; P.l.stephan Thamban
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Engineering Economy Division (EED)
, “Understanding by Design,” 2006, Pearson: Merrill PrenticeHall.[5] D. Fadda and O. Rios, “Online Computer Aided Design Class,” 126th ASEE AnnualConference and Exposition, June 15-19, 2019, Tampa, Florida, USA[6] D. Fadda, R. Vinay, and O. Rios, “Online Development Plan for an Applied ThermodynamicsCourse,” Proceedings of the ASME International Mechanical Engineering Congress andExposition, October 29-November 2, 2023, New Orleans, LA, USA, IMECE2023- 112320[7] NCEES Fundamentals of Engineering (FE) Exam, https://ncees.org/exams/fe-exam/[8] L. Blank and A. Tarquin, Basics of Engineering Economy, 3rd Edition, McGraw Hill, 2021,ISBN10: 1259875989, ISBN13: 9781259875984[9] Honorlock Proctoring, https://honorlock.com/[10] ChatGPT, https://openai.com/chatgpt
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- Elements of decision making in engineering economics education
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- 2025 ASEE Annual Conference & Exposition
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Hartanto Wibowo, Iowa State University of Science and Technology; Jon Matthews Rouse
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Engineering Economy Division (EED)
and applicability for the students. Whether the game activities improved studentperformance on other course deliverables is more difficult to assess. In general, students whowon in the investment game received high grades in the course relative to the mean, but causalitycannot be established from the data collected, partially because there is an element of luckinvolved in the game. A continued effort to improve the implementation these game-basedactivities is ongoing. In the future, the instructor-of-record plans to make the game component asmandatory for students and collect more data at the end of the semester to further correlate withthe measurable course outcomes. Logistically, the activities were implemented within the Canvaslearning
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- AI Integration in Engineering Economy Course
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- 2025 ASEE Annual Conference & Exposition
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Raymond L. Smith III, East Carolina University; Ricky T Castles, East Carolina University; Emily Fuller Sondergard
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Diversity
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Engineering Economy Division (EED)
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- AI Integration in Engineering Economy Course
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- 2025 ASEE Annual Conference & Exposition
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Hamed Samandari, University of Massachusetts Dartmouth
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Diversity
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Engineering Economy Division (EED)
provided more accurate and detailed explanations than ChatGPT in some cases.This has prompted us to consider integrating these tools into future iterations of the study.Moving forward, we plan to develop more structured and clearly defined activities for students,with the aim of repeating the study in the following year. By then, we anticipate that universitieswill have clearer instructions and policies regarding the use of AI in classroom settings, whichwill help us refine the design and execution of the study.References[1] R. Subramanian and S. M. Vidalis, “Artificial Intelligence tools: Boon to Engineering Education or a threat?,” in 2023 Fall Mid Atlantic Conference: Meeting our students where they are and getting them where they