Conference Session

Engineering Economy Division Technical Session 3

Collection

2016 ASEE Annual Conference & Exposition

Authors

Paulina Z. Sidwell, McLennan Community College

Tagged Topics

ASEE Diversity Committee, Diversity

Tagged Divisions

Engineering Economy

the changing global landscape.Bibliography[1] M. L. Tucker, N. L. Gullekson and J. McCambridge, "Assurance of learning in short-term, study abroad programs," Research in Higher Education Journal, 2011.[2] P. Chow and R. Bhandari, "Trends in Science and Technology Study Abroad," Meeting America's Global Education Challenge, 2009.[3] N. L. Shadowen, L. P. Chieffo and N. G. Guerra, "The Global Engagement Meaurement Scale (GEMS): A New Scale for Assessing the Impact of Education Abroad and Campus Internationalization," Frontiers: The Interdisciplinary Journal of Study Abroad, pp. 231-246, 2015.[4] J. E. Olson and K. Lalley, "Evaluating a Short-Term, First Year Study Abroad Program for Business and Engineering Undergraduates

Conference Session

Engineering Economy Division Technical Session 3

Collection

2016 ASEE Annual Conference & Exposition

Authors

Jingjing Tong, Southeast Missouri State University; Heather Nachtmann, University of Arkansas

Tagged Topics

ASEE Diversity Committee

Tagged Divisions

Engineering Economy

Analysis of Disruptions on the Mississippi River: An Engineering Economy Educational Case StudyAbstractStudent ability and understanding of engineering economy is promoted through real worldapplication. As engineering and engineering technology educators, we are encouraged to educateour students in contemporary issues related to engineering education. This paper providesengineering economy instructors with a real world educational case study based on maritimelogistics. An instructor’s solutions manual is available from the authors.OverviewReal-world application of engineering concepts motivates and engages students in engineeringeconomy coursework. We present an educational case study that has real-world application in themaritime

Conference Session

Engineering Economy Division Technical Session 3

Collection

2016 ASEE Annual Conference & Exposition

Authors

Deborah Ann Pedraza, Texas Tech University; Mario G. Beruvides P.E., Texas Tech University

Tagged Topics

ASEE Diversity Committee

Tagged Divisions

Engineering Economy

sciencescore; however, for the electronics engineering technology program high school electronicsgrade point average, high school natural science grade point average, abstract conceptualizationvs concreter experience and ACT natural science scores. He also found that the best predictorvariables for electrical engineering were high school rank, ACT math scores, high schoolelectronics grade point average and high school natural science grade point average. Using theirresults, counselors could help guide students to a program that they may be more successfulpursuing.[36]Psychological and Other Sociological Factors Still other researchers have tried to use other predictors to improve student success andgather data on student success rates