, learning activities, assessments, and student learning styles resulted in a moderate-to-strong positive correlation between students’ self perception and direct assessments of the learning objectives. Based on the results of our study and studies done in literature by Felder, we highly recommendthat any educators teaching summer courses should consider using our approach as a modelwhen designing their own courses.Bibliography1. Ressler, S.J., Welch, R.W., and Meyer, K..F., “Organizing and Delivering Classroom Instruction,” Teaching Lessons Learned. Journal of Professional Issues in Engineering Education and Practice, ASCE 130 (3), pp. 103-120,July 2004.2. Estes, A. C., Welch, R. W., and Ressler, S. J., “Teaching
, Joseph and Paul Kauffmann. “Relationship of Final Grade and Use of Online Course Materials for an Engineering Economics Course.” Proceedings of the American Society for Engineering Education Annual Conference, June 2014.5. Wilck, Joseph and Paul Kauffmann. “A Comparative Review of Two Engineering Economics Sections: One Traditional and One Online.” Proceedings of the American Society for Engineering Education Annual Conference, June 2013.6. Stump, Glenda S., Jenefer Husman, and Marci Corby. Engineering Students’ Intelligence Beliefs and Learning. Journal of Engineering Education, July 2014, Vol. 103, No. 3, pp. 369–387.7. Dweck, C. S. and D. C. Molden. Self-theories: Their impact on competence motivation and acquisition. In A. J
applied probability itself, butalso for the nature of problems. They should understand structuring problems and posing problems.They should be informed that there is a spectrum of problems, ranging from well-structuredproblems with definite answers and clear boundaries, such as are found in traditional textbooks (andnowhere else), and open-ended, ill-structured problems, such as are found in the engineeringworkplace. The essential and unique point is that learners s must pose, clarify, and define problems,not simply solve them.And, at the same time, learners should practice metacognitive skills such as reflecting on how theyare building these schemes. Metacognitive activities are manifold and not easy to classify. Howeverthere is widespread
field over the next five years. Nearly allstudents (94%, 17 of 18 students) reported that participation in the IRAM course(s) had betterprepared them to work in the IE field. Of the 10 students who provided suggestions on how tofurther improve the IRAM laboratory or the courses, all reported that the both the courses andlaboratory could be improved by providing more access to and use of modern robotics andautomation equipment. One student suggested including guest speakers who are currently Page 25.715.11working in the field as a part of the courses.Early evidence also indicates that students are having some success
Page 25.517.5responsibility and that success or failure is the work of the leader. Students, not in the leaderrole, seem likely to shun accepting responsibilities and particularly lack a feeling ofresponsibility for failures.Leadership Differentiated. At this stage, engineering students are able to differentiate their viewand recognize leadership being non-positional, and “as-needed”. Leadership is starting to berecognized as a process. Those in positional roles engage in shared, participative leadership.Their responsibilities shift from making things happen to facilitator and community builderwithin their group(s). In so doing, students recognize that that leadership can be demonstrated byanyone in the group. Students not in positional roles
, An Introduction to Human Factors Engineering, 1998, Addison-Wesly Educational Publishers Inc.3. Brauer, Roger L., Safety and Health for Engineers, Second Edition, 2006, John Wiley and Sons, Inc.4. Meredith, Jack R., and Samuel J. Mantel, Jr., Project Management, Managerial Approach, Sixth Edition, 2006, John Wiley and Sons, Inc.5. Ostwald, Phillip F. and Timothy S. McLaren, Cost Analysis and Estimating for Engineering and Management, 2004, Pearson Prentice Hall6. Peterson, William R., Rafael E. Landaeta, and Bryan Magary, “Is It Time For A New Paradigm?”, 2005 ASEE Annual Conference and Exposition Proceedings (June 12 – 15, 2005, Portland, Oregon), American Society for Engineering Education, Session 2639 (CD-ROM
Distinguished IE professor in 2003 and 2010, and as Distinguished Industrial Engineer for the Year 2010 by the College of Engineers and Land Surveyors of Puerto Rico.Dr. Alexandra Medina-Borja, University of Puerto Rico at Mayaguez Alexandra Medina-Borja earned her Ph.D. and M.S. in Industrial and Systems Engineering from Virginia Tech. and holds a Production Engineering degree from the Federal University of S˜ao Carlos in S˜ao Paulo, Brazil. Medina-Borja has concentrated her work in areas related to the effective design and analysis of service delivery systems. Her main research contribution has been to advance a model for the performance evaluation of nonprofit social services by adapting Data Envelopment Analysis formulations
: Energizing andemploying America for a brighter economic future, National Academies Press2 Federal Reserve Bank of New York (2013). Quarterly Report on Household Debt and Credit - Q4 2013, FederalReserve Bank of New York: 313 Wittrock, M. C. (1974). "Learning as a Generative Process." Educational Psychologist 11(2): 87.4 Wittrock, M. C. (1974). "A Generative Model of Mathematics Learning." Journal for Research in MathematicsEducation(4): 181.5 Bruner, J. S. and R. Watson (1983). Child's talk : learning to use language / Jerome Bruner, with the assistance ofRita Watson, New York : W.W. Norton, c1983. 1st ed.6 Lee, H. W., K. Y. Lim and B. L. Grabowski (2008). Generative Learning: Principles and Implications for MakingMeaning. Handbook of Research on
with the students the more standard sensitivityanalysis: change in price of goods, change in price of key raw material(s), change in price ofutilities, change in price of labor. These are the ones sometimes discussed in design textbooks.Ask students if that is all there is to a Financial Operational Model? See what the students answerhere. Get them to understand the sheer power of having the engineering design melded to theeconomics. What does that truly mean? Start to get them to see other types of sensitivities that arenot simply linear changes in slope but can have actual minimum or maximum optimal values.Examples include key design specifications to the product, parameter uncertainty in the modelsfor a piece of equipment such as extent of
AC 2007-513: COST ESTIMATING CERTIFICATES OFFERED BYPROFESSIONAL SOCIETIES IN THE UNITED STATES AND ABROADDonald Remer, Harvey Mudd College Donald S. Remer is the Oliver C. Field Professor of Engineering at Harvey Mudd College. He received his BSE at the Univ. of Michigan and his MS and PhD at Caltech. He is a registered professional Engineer in several states. He has presented short courses to thousands of engineers and managers in industry and government in the areas of Project and Engineering Management, Cost Estimation and Economic Evaluation of Projects, and Managing and Estimating Software Projects. He received the Centennial Award from ASEE.Karen Ahle, Raytheon Karen M. Ahle graduated
, then Case 3.1 (See Appendix III, Figure 3 - 3.1) and the ATAapproach would be used.Some other observations about this case: Minimum effectiveness and maximum budgetconstraints were not considered. Obviously, if these are known, they would influence thedecision.Also, the gap in Capital Cost and Life Cycle Cost is large compared to the reduction in downtimehours. That may mean that other cases like III A, etc. should be examined. It appears that theremay be an ‘S” curve in Cost Effectiveness between Tier III and IV.Implications for Engineering Economics (EE) EducationThis case illustrates how the analysis method, Figures of Merit and decision criteria areinfluenced by downtime estimate units and whether this estimate should be included as part
following: The Situation and Decision: • Description of the situation • Specific economic decision(s) involved • Societal implications of the decision • Description of available data • Assumptions you have made The Solution: • Description of the economic analysis techniques that are applicable to the problem or situation and calculations associated with those techniques • What decision you would make Note that since you may not have complete information about the situation, you may use reasonable estimates of various figures in your analysis. Figure 1: Project Report FormattingThe survey identified students by course section, discipline, and which project they
changes that follow from the process. We assessStudent Outcomes on a two-year rotating schedule. Althoughsome assessment activities are conducted every year, each group ofoutcomes receives primary attention during alternating years.Not all courses in the curriculum are involved in course-embeddedassessment. The choice of courses is guided by the followingprinciples: Each Student Outcome will be assessed with student work in a course(s) termed “benchmark course(s).” Only required (not elective) courses in the program curriculum will be selected as benchmark courses. Although a benchmark course will likely address multiple Student Outcomes, typically one or two of its learning outcomes will be designated
examples is a way to cement students’ knowledge through memorable context.• Using case studies supports the rich complexity and interdisciplinary skills needed by future engineers.• Using campus based case studies is physically convenient for students because they can see the application without the time, expense, and coordination required to go off campus.Support for Case Studies as a Method for Teaching & Learning: Significant research has beendone showing the effectiveness of case studies as a teaching method. In 1999, the Journal ofEngineering Education published an interesting research paper entitled, Teaching Real-WorldIssues through Case Studies, by P.K. Raju and Chetan S. Shankar. In this paper, they chronicledthe benefits
, Vol. 44, No. 1, 1999, pp. 110-125. 4. Hartman, J. C., “Engineering Economy: Suggestions to Update a Stagnant Course Curriculum”, American Society for Engineering Education Annual Conference Proceedings, 1998. 5. Bafna, K. and Aller, B., “Enhancing the Learning of Engineering Economy with Innovative Technology and Teaching,” American Society for Engineering Education Annual Conference Proceedings, 2007. 6. Coates, E. R., Vajpayee, S. K., and Juneau, J., “Introducing Engineering Economy Students to Real Options”, American Society for Engineering Education Annual Conference Proceedings, 2003. 7. Evans, E., Nachtmann, H., and Needy K., “A Look into Engineering Economy Education Literature
Learning in the Large IntroductoryPsychology Class,” Teaching of Psychology, 18, 1991.2. Ives, S. M., “Faculty Center for Teaching and e-Learning: A Survival Handbook for Teaching Large Classes,”UNC Charlotte Faculty Center for Teaching, accessed from www.fctel.uncc.edu, December, 2007.3. Felder, R. M., “Beating the Numbers Game: Effective Teaching in Large Classes,” Proceedings of the 1997American Society for Engineering Education Annual Conference, June, 1997.4. Felder, R. M., D. R. Woods, J. E. Stice, and A. Rugarcia, “The Future of Engineering Education II. TeachingMethods that Work,” Chemical Engineering Education, 34(1):26-39, 2000.5. _______, “Engineering Economy: Suggestions to Update a Stagnant Course Curriculum,” Proceedings of the1998
App store and Google Play. We will continue to pursueformative assessment and improvement during the NSF grant period.Reference 1. Ryan, S., Jackman, J., Peters, F., Olafsson, S.: The engineering learning portal for problem solving: experience in a large Engineering Economics class. The Engineering Economist 49, 1-19 (2004) 2. Elizandro, D., Matson, J.: Taking a moment to teach Engineering Economics. The Engineering Economist 52, 97-116 (2007) 3. Sandberg, J., Barnard, Y.: Deep learning is difficult. Instructional Science 25, 15-36 Page 24.3.124. Dahm, K., Newell, J.: Baseball Stadium Design: Teaching
: Author.4. Hesli, V., Fink, E., &Duffy, D. (2003). Mentoring in a positive graduate student experience: Survey results from the Midwest region, Part I. PS: Political Science and Politics, 36(3), 457-460.5. Wankat, P. C. & Oreovicz, F. S. (2005). Teaching prospective engineering faculty how to teach. International Journal of Engineering Education, 21 (5), 925-9306. Torvi, D. A. (1994). Engineering graduate teaching assistant instructional programs: training tomorrow's faculty members, Journal of Engineering Education, 2-5.7. Shannon, D. M., Twale, D. J. & Moore, M. S. (1998). TA teaching effectiveness: The impact of training and teaching experience. The Journal of Higher Education, 69, 440-466.8. DeChenne, S.E
evidenceof certain FE and PE topics in the capstone course. We will also explore the connection betweencapstone course design and student career efficacy to help develop a common guideline for anyIndustrial Engineering capstone course.Bibliography1. Beyerlein, S., Davis, D., Trevisan, M., Thompson, P., & Harrison, K. (2006). Assessment framework for capstone design courses. Proceedings of the 2006 American Society of Engineering Education Annual Conference and Exposition.2. Dunlap, J.C. (2005). Problem-based learning and self-efficacy: How a capstone course prepares students for a profession. Educational Technology Research & Development, 53(1), 65-85.3. Farr, J.V., Lee, M.A., Metro, R.A., & Sutton, J.P. (2001). Using a
continuing to overlook a population of technically-capableresources that stands ready to contribute to an organization’s and on a larger scale or nation’ssuccess.References1. Lombardi, M. (2011). Hiring to Win: Secrets to Sourcing and Selecting Top Talent, Retrieved August 24, 2011, from http://talentmgt.com/events/view/hiring-to-win-secrets-to-sourcing-and-selecting-top-talent.2. Bell, R. (2011). Survey Shows Talent Shortage Grows Despite High Unemployment, Retrieved September 22, 2011, from http://www.workforce.com/article/20110519/NEWS01/305199997.3. High, M. S. & Nowakowski, J. M. (2011). What do markets tell us about demand for engineers in the workplace?, Proceedings of the American Society for Engineering Education Annual
Annual Conference & Exposition, 2012. 7. Lamancusa, J., Jorgensen, J., Zayas-Castro, J., Ratner, J., “THE LEARNING FACTORY – A new approach to integrating design and manufacturing into engineering curricula,” Proceedings of the 1995 American Society for Engineering Education Annual Conference & Exposition, 1995. 8. Lynch, P.C., Wilck, J.H., Bober, C., Mines, J.L., “A New Look at Involving Undergraduate Students, Real Life Applications, and Active Learning Activities in the Industrial Engineering Undergraduate Course Delivery Process,” Proceedings of the 2014 ASEE Annual Conference & Exposition, 2014. 9. Sawhney, R.S., Maleki, S., Wilck, J.H., Hashemian, P., “Center for Productivity Innovation's Student
quality of the added pages and categorizing thesepages in the proper place. A user may write a page or even a number of pages which he wants tocontribute. To give the links to this page/s is a decision only at the discretion of the administrator.In addition, the administrator can provide moderator privileges to certain users. Thus, this sitecan be viewed as being controlled by the selected group containing the administrator and themoderators. The ultimate privilege rests with the administrator. This gives certain protection tothe site from users with ill intentions. Even when any improper data is created and added to thesite, periodic scanning of recent changes by the administrator and moderators can result infiltering out of such data. The
inventorycontrol. Operations Research, 37,183-197, 1989.[2] F. Glover, R. Glover, J. Lorenzo, and C. McMillan. The passenger mix problem inscheduled airlines. Interfaces, 12, 73-79, 1982.[3] A. Gosavi, E. Ozkaya and A. Kahraman. Simulation optimization for simulation forrevenue management of airlines with cancellations and overbooking. OR Spectrum, 29,21-38, 2007.[4] K. Littlewood. Forecasting and control of passenger bookings. In Proceedings of the12th AGIFORS (Airline Group of the International Federation of Operational ResearchSocieties) Symposium), 95-117, 1972.[5] R. L. Phillips. Pricing and Revenue Optimization. Stanford University Press, Stanford,CA, 2005.[6] J. Subramaniam, S. Stidham Jr, and C.J. Lautenbacher. Airline yield management
Paper ID #19798Engineering Economics for Freshmen EngineersDr. Gilbert C Brunnhoeffer III P.E., Roger Williams University Practiced Civil Engineering and Engineering Management in the U S Army for 20 years. Engaged in software engineering for three years and ran factories producing engineered materials for the aerospace and electronics industries for seventeen years. Teaching career includes engineering mechanics, civil engineering, and construction management for seventeen years. c American Society for Engineering Education, 2017 Engineering Economics for Freshmen EngineersFreshmen
/showAward?AWD_ID=1449489Cech, E. (2014). Culture of Disengagement in Engineering Education. Science, Technology & Human Values, 39(1), 42-72.Cech, E. A. (2010). Trained to Disengage? A Longitudinal Study of Social Consciousness and Public Engagement Among Engineering Students. American Society for Engineering Education.Cruz, J., & Frey, W. (2003). An Effective Strategy for Integrating Ethics Across the Curriculum in Engineering: An ABET 2000 Challenge. Science and Engineering Ethics, 9, 543-568.Deneulin, S. (2014). Wellbeing, Justice and Development Ethics. New York and London: Taylor and Francis.Dunlap, J. C. (2005). Changes in students' use of lifelong learning skills during a problem
—2003 Annual Report, Bloomington, IN: Center for Postsecondary Research, Indiana University, 2003.3. Jim Eison, Promoting Active Learning in Large Classes, The 25th Annual Lilly Conference on College Teaching, November 17-20, 2005.4. Karl S. Smith, Sheri D. Sheppard, David W. Johnson, and Roger T. Johnson, Pedagogies of Engagement: Classroom-Based Practices, Journal of Engineering Education, January 2005, pp 87-101.5. Cynthia Desrochers, Student Engagement: Time for Your Course?”, The 8th CSU Regional Syposium on University Teaching, Cal Poly Pomona, April 2, 2005.6. Tarek Shraibati and Sarfaraz, A. R., The use of Common Sense Applications in Teaching Engineering Economic Analysis, Proceedings of the ASEE, June, 2005
), and high strain deformation of materials. She is currently a Co-PI in NSF S-STEM and ADVANCE-PAID grants. She is actively involved in outreach activities that introduce middle school students to engineering. Page 25.696.1 c American Society for Engineering Education, 2012Highly Relevant and Productive Collaborations between Industries and UniversitiesIntroductionEngineering education is enhanced by collaborations between industries and universitiesthat provide a platform for students’ internships, research, and development ofprofessional and leadership skills
capability of a technology is usuallyeasier to define in terms of the products it can deliver so many parameters have product-related metrics.Most development work on the assessment tool has been applied to nano-electronicfunctions. The consumer market gives a good demonstration of how products movethrough their life cycle in a year or less showing the familiar bell-shaped revenue curve.However, the underlying components and technologies can last for many productgenerations. They show the classical S-curve but there is an additional feature that makesprediction difficult. As one technology matures, it is replaced by a more advancedversion. Thus there are many generations of maturity for the same basic technology.This is reflected in different
. (2004). Does active learning work? A review of the research. Journal of Engineering Education, 93(3), 223-231. 6. Bishop, J. L., & Verleger, M. A. (2013, June). The flipped classroom: A survey of the research. In ASEE National Conference Proceedings, Atlanta, GA. 7. Mason, G. S., Shuman, T. R., & Cook, K. E. (2013). Comparing the effectiveness of an inverted classroom to a traditional classroom in an upper-division engineering course. Education, IEEE Transactions on, 56(4), 430-435. 8. Bland, L. (2006). Apply flip/inverted classroom model in electrical engineering to establish life long learning. Proceedings of ASEE Annual Conference, Chicago, IL, AC2006-856. 9. Roehl, A
placed inthe Dropbox. Each item to be submitted is placed as a unique item in the Dropbox and isreleased to the students on a pre-specified date and time. The completed file must be submittedby the student at another time on the same date or any other date. The testing/instruction file(s)to be released are posted in the Dropbox and, upon completion of the item, the students submit itback to the Dropbox. I use this feature for two different types of evaluations. During thesemester, I give three one-question quizzes (20 minutes each) and three four-question exams (50minutes each). Since my class meets in a room equipped with computer workstations, thesequizzes and exams are taken during the class meeting. Upon completion, I upload all the