University. This experience enabled usto choose the teaching principles, namely different aspects of problem based learning that bestimprove student learning and motivation. The pilot program of dispersed product developmentteams was a success and is continuing today. We highly recommend similar programs to otherschools as well.Bibliography1. Meier, M. Best practice in product design: concept outlines and experiences in project-oriented product design education. International Journal of Engineering Education. Vol 19. No 5. pp. 338–345.2. Eppinger, S. D. and Kressy, M. S. 2002. Interdisciplinary product development education at MIT and RISD. Design Management Journal. Summer 2002. pp. 58–61.3. de Graaf, E. and Kolmos, A. 2003
0% engineering and new technologies without the aid of 1 2 3 4 5 6 7 8 9 10 11 12 formal instruction. Engineering &Technology Goals Page 12.568.11Figure 8: End of Course Survey Data for ME450The best indication of the success of ME450’s hands-on approach to
Engineering, manages theadministrative aspect of all projects. Design projects that could be completedwithin an academic-year are recruited from local industries by the Project Centerpersonnel and the department’s design coordinator (ie. the instructor of the seniordesign sequence) in summer and early fall prior to the beginning of the academic Page 12.1190.2year. Teams of three to four students work under the direction of a companyliaison and a faculty advisor to solve a real life engineering problem.Teams spend the fall quarter meeting with the sponsoring company liaison(s) andthe faculty advisor, visiting the project site (if applicable), understanding theoverall
Role of Tools In TeachingSince the mid 1990’s, there has been significant pressure applied to engineering educators byaccreditation boards to re-vitalize the real-world, open-ended, hands-on nature of engineering1.Undergraduate engineers are now being taught to design for the man-made environments inwhich they live – environments which widely require tools to be manipulated. Can we expectstudents to understand the process of hands-on design if they cannot engage in it? Although thefirst year design and communication course at the Schulich School of Engineering is not atechnical based course, it is one of the few opportunities students have to become exposed tobasic hand tools during their undergraduate academic careers. As stated by Gaba, “The
; Cocking, R. R. (Eds.). (1999). How people learn: Brain, mind, experience and school. Washington, D. C.: National Academy Press.3. Coyle, E., Jamieson, L., & Oakes W. (2005). EPICS: Engineering Projects in Community Service, International Journal of Engineering Education, 21, 139-150.4. Creswell, J. W. (1998) Qualitative inquiry and research design: Choosing among five traditions. Thousand Oaks, CA: Sage Publications.5. Dorst, K. (1997). Describing design: A comparison of paradigms. Ph.D. Thesis. Rotterdam, The Netherlands: Vormgeving Rotterdam.6. Duffy, J., Tsang, E., & Lord, S. (2000). Service-learning in engineering: What, why, and how? Proceedings of the 2000 American Society for Engineering Education Annual
create a strategic university/industry model thatwill not only benefit the universities and industries, but the students themselves and laythe foundation for a stronger workforce in the future. Note that this is the first phase ofthis project and it is intended that we will publish additional phases of this work over thenext couple of years as we complete our study. To this extent, we will be comparing anddiscussing our efforts with this project to others of the same field in the future.Bibliography1. Lamancusa, John S. et. al. The Learning Factory: Industry-Partnered Active Learning. Journal ofEngineering Education. January 2008.2. Jiusto, S. and DiBiasio. Experiential Learning Environments: Do They Prepare Our Students to be Self-Directed
national competition in robotics. In the summer of 2002, she had an internship in an aircraft manufacturing company Embraer, in the part of the company Gamesa Aeronautica, section Moasa Montajes, Spain where she worked in product distributed environment. After graduating with a Master of Science (M. S.) degree, in area of Industrial Engineering, specialization in Production Systems in 2006, M.S. Jovanovic subsequently continued to work towards her Doctor of Philosophy (PhD) degree at Purdue University, department of Mechanical Engineering Technology. She is currently working as a Graduate Research Assistant in Product Lifecycle Management Centre of Excellence Laboratory at Purdue
) project, setting up and teaching laboratory and hands-on computer experiments for engineering freshmen and sophomores. For one semester, he was also a visiting professor at the United Arab Emirates University in Al-Ain, UAE where he helped set up an innovative introductory engineering curriculum. Dr. Tanyel received his B. S. degree in electrical engineering from Bogaziçi University, Istanbul, Turkey in 1981, his M. S. degree in electrical engineering from Bucknell University, Lewisburg, PA in 1985 and his Ph. D. in biomedical engineering from Drexel University, Philadelphia, PA in 1990
. Page 14.1043.9 2. They provide concise clear views of key metrics associated with project execution. 3. They help drive progress toward chosen milestones and encourage chosen behaviors. 4. The scorecards provide ‘early warning’ of projects in trouble allowing students and faculty time to take corrective action. 5. Care must be taken in selecting the metrics as the student teams will tend to focus on those activities and may neglect others. 6. The number of metrics monitored must be kept manageable to encourage use. 7. Successful implementation requires buy-in by all the members of each project team and considerable planning in advance.References 1. Chen, S. Yang, C., and Shiau, J., ‘The Application of Balanced
considered for implementation at other institutions, it is expected that, whilethe list of actual responsibilities and other documents may look somewhat different, the processitself would produce similar positive results in other programs.1. Somerton, C. W., Thompson, B. S., Gunn, C., The Role of the Faculty Advisor in the Capstone Design Experience: The Importance of Technical Expertise, Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition2. Taylor, D. G., Magleby, S. P., Todd, R. H., & Parkinson, A. R.). Training Faculty to Coach Capstone Design Teams., International Journal of Engineering Education, 17 (4-5) 20013. Gantt, L., Work, Wages and Profit, The Engineering Magazine
Educational Technology, 30(4), 311-321. 6. Munz, U., Schumm, P., Wiesebrock, A., & Allgower, F. (2007). Motivation and Learning Progress Through Educational Games. IEEE Transactions on Industrial Electronics, 54(6), 3141- Page 14.1052.14 3144. 7. Barab, S., Thomas, M., et al. (2005). Making learning fun: Quest Atlantis, a game without guns. Educational Technology Research and Development, 53(1): 86-107.8. Bransford, J. D., Brown, A. L., Cocking, R. R., & Donovan, M. S. (2000). How people learn: Brain, mind, experience, and school (Expanded ed.). Washington, DC: National Academy of Sciences.9. Westera
weight of material used in their trusses. Whereasthe project had been a semester-long endeavor in previous years, the pairing with the initialbottle rockets project left only ten weeks for completion. The final project in the sequence,spring 2006, will be the design of an electromechanical device. Students will design motorizedvehicles that must traverse a prefabricated rail system while operating a winch to raise and lowerobjects with an electromagnet.Implementing the New Design PhilosophyTo guide students in thinking about the bottle rockets project within Dym et al.’s framework, twopairs of mental arenas were defined: Design vs. Analysis and Problem Solving, and Convergentvs. Divergent thinking. Within these arenas, Convergent thinking was
instruction is encouraged naturally, potentially leading to cost-effective initiatives and reforms. In sum, the national challenge of creating and improving the technology literacyof undergraduates could be approached through the recruitment and reward of designfaculty, inter alia. This instructional group is widely present on every engineeringcampus. Further, as S. Sheppard has documented, the present of device dissection labs inUS engineering schools is also appreciable28. The combined availability of bothinstructors and device lab space suggests a natural doorway for widespread enhancementof technology literacy instruction at the undergraduate level.Acknowledgement The preparation of this paper was supported by the National Science
new technical skills outside of their engineering curriculum. And lastly, by providing aninterdisciplinary environment that contributes towards positively towards their soft andentrepreneurship skills.Reference1 Seaward, G. (2001, June), Converting Single Disciplinary Capstone Projects ToInterdisciplinary Experiences Paper presented at 2001 Annual Conference, Albuquerque, NewMexico.2 J. Wilbarger and S. Howe, "Current Practices in Engineering Capstone Education: FurtherResults from a 2005 Nationwide Survey," Proceedings. Frontiers in Education. 36th AnnualConference, San Diego, CA, 2006, pp. 5-10.3 Jones, B. D., Epler, C. M., Mokri, P., Bryant, L. H., & Paretti, M. C. (2013). The Effects of aCollaborative Problem-based Learning
-based learning: a trial of strategies in an undergraduate unit,” Innovations in Education and Teaching International, vol. 45, no. 4, pp. 345 – 354, Oct. 2008.[7] S. Jayaram, “Implementation of Active Cooperative Learning and Problem-based Learning in an Undergraduate Control Systems Course” in the 120th ASEE Annual Conference and Exposition, 23 – 26 June 2013, Atlanta, Georgia USA [Online]. 11 Available: https://www.asee.org/public/conferences/20/papers/6498/view [Accessed: 28 March 2019].[8] E. Lester, D. Schofield and P. Chapman, “The interaction of engineering ‘types’: A study of group dynamics and its relationship to self and peer assessment during computer- based
, Richard M., and Silverman, Linda K. (1988). Learning and Teaching Styles in Engineering Education. Engineering Education, 78(7),674-81.[4] Mora, Carlos, Beatriz Anorbe-Diaz, Antonio M. Gonzalez-Marrero, Jorge Martin-Gutierrez, Brett D. Jones, and CE Efren Mora. "MotivationalFactors to Consider When Introducing Problem-Based Learning in Engineering Education Courses." International Journal Of EngineeringEducation 33, no. 3 (2017): 1000-017.[5] Kolb, D. (2015). Experiential learning: Experience as the source of learning and development (Second ed.). Upper Saddle River, New Jersey:Pearson Education.[6] Rajala, S., Spurlin, J., Lavelle, J., & Felder, R. (2008). Designing better engineering education through assessment : A practical resource
Project for Introductory Students in Aerospace Engineering, Paper presented at 2012 ASEE Annual Conference & Exposition, San Antonio, Texas.[12]. Liu, S. (2014, June), Implementing Project-Based Learning in Physics and Statics Courses, Paper presented at the 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana.[13]. Chang, G., & Peterson, W. (2009, June), Bridge Design Project: A Hands-On Approach To Statics And Strength Of Materials Learning, Paper presented at 2009 Annual Conference & Exposition, Austin, Texas.[14]. Kou, Z., & Mehta, S. (2005, June), Research In Statics Education – Do Active, Collaborative, And Project- Based Learning Methods Enhance Student Engagement, Understanding
Harms, who allowed us to incorporate this activity in their classrooms and our research students Sarah Goldstein and Joshuah Carlani. REFERENCES: [1] C. J. Atman et al, "Engineering Design Processess: A comparison of students and expert practitioners," Journal of Engineering Education, pp. 359-‐379, 2007. [2] D. P. Crismond and R. S. Adams, "The Informed Design Teaching and Learning Matrix," Journal of Engineering Education, vol. 101, (4), pp. 738-‐797, 2012. [3] C. L. Dym et al, "Engineering design thinking, teaching, and learning," J Eng Educ, vol. 94, (1), pp. 103-‐120, 2005. [4] A. J
for Teaching Excellence (CTE) at UW and the Student Success Office at UW for fundingand supporting the development of these workshops.References[1] A. Cushing, S. Abbott, D. Lothian, A. Hall and O. Westwood, "Peer feedback as an aid to learning – What do we want? Feedback. When do we want it? Now!", Medical Teacher, vol. 33, no. 2, pp. e105-e112, 2011.[2] D. Nicol, A. Thomson and C. Breslin, "Rethinking feedback practices in higher education: a peer review perspective", Assessment & Evaluation in Higher Education, vol. 39, no. 1, pp. 102-122, 2013.[3] E. Unger-Aviram, O. Zwikael and S. Restubog, "Revisiting goals, feedback, recognition, and performance success", Group & Organization Management, vol. 38, no. 5, pp
ofcognitive style (KAI) based on the Quality metrics. At first, linear regression models weregenerated using SPSS software in order to determine if a simple linear regression could modelKAI or its subscores effectively. After this, SPSS was used to generate logarithmic, inverse,quadratic, cubic, compound, power, S, growth, and exponential regression models13 to relateKAI and its subscores to the Quality metrics. Table 1: Table of the groupings of KAI and its subscores Group KAI Values SO Values E Values RG Values 1 57 - 64 21-25 8-10 20-22 2 65-70 26-28 11-12 23-25 3 71-77 29
Government is authorized to reproduce anddistribute reprints for Government purposes notwithstanding any copyright notation thereon. Theviews and conclusions contained herein are those of the authors and should not be interpreted asnecessarily representing the official policies or endorsements, either expressed or implied, of theUnited States Air Force Academy or the US government.5. References [1]. Gordon, W.J.J., 1961, Synectics: The Development of Creative Capacity, New York: Harper and Brothers. [2]. Chakrabarti, A., Sarkar, P., Leelavathamma, B., and Nataraju, B. S., 2005, “A Behavioural Model for Representing Biological and Artificial Systems for Inspiring Novel Designs,” Proceedings of the International
by the National Science Foundation under Grant No.1151019. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation. We would also like to acknowledge the contributions of the MEDLEEresearch group.REFERENCES1. Bursic KM, Atman CJ. Information gathering: A critical step for quality in the design process. QualityManagement Journal. 1997;4(4).2. Ennis Jr CW, Gyeszly SW. Protocol analysis of the engineering systems design process. Research in EngineeringDesign. 1991;3(1):15-22.3. Atman CJ, Adams RS, Cardella ME. Engineering design processes: A comparison of students and expertpractitioners. Journal of Engineering
Conference and Exposition, Seattle, 2015.6. G. Lesmond, "Development of Analytic Rubrics for Competency Assessment (DARCA) Phase 2: 4th Interim Progress Report," Toronto, 2016.7. D. P. Crismond and R. S. Adams, "The Informed Teaching and Learning Matrix," Journal of Engineering Education, vol. 101, no. 4, pp. 738-797, 2012.8. M. J. Safoutin, C. J. Atman, R. Adams, T. Rutar, J. C. Kramlich and J. L. Fridley, "A Design Attribute Framework for Course Planning and Learning Assessment," IEEE Transactions on Education, vol. 43, no. 2, pp. 188-199, 2000.9. D. C. Davis, K. L. Gentili, M. S. Trevisan, R. K. Christianson and J. F. McCauley, "Measuring Learning Outcomes for Engineering Design Education," in Proceedings of the Annual Conference
Directions. Journal of Engineering Education, 79(4), 517–522.Gainsburg, J. (2006). The mathematical modeling of structural engineers. Mathematical Thinking and Learning, 8(1), 3-36.Juhl, J., & Lindegaard, H. (2013). Representations and visual synthesis in engineering design. Journal of Engineering Education, 102(1), 20-50.Kjersdam, F., & Enemark, S. (1994). The Aalborg Experiment: Project Innovation in University Education. Aalborg, Denmark: Aalborg University Press.Kolb, D. A. (1984). Experiential Learning: Experience as the source of learning and development. . Englewood Cliffs, NJ: Prentice Hall.Lesh, R., & Doerr, H. M. (2003). Foundations of a models and modeling perspective on mathematics teaching
Guard Academy. He has a Ph.D. in Aerospace Engineering form the University of Maryland, a Masters in Naval Architecture and Marine Engineering form Massachusetts Institute of Technology, and a Bachelor of Science from the U. S. Coast Guard Academy. He is a registered Professional Engineer in the State of Connecticut. He served on active duty in the U.S. Coast Guard from 1965 to 1992 and had assignments in Marine Safety, Naval Engineering, Acquisition, and Research and Development. Page 13.17.1© American Society for Engineering Education, 2008 A COMMON DESIGN-BUILD-TEST PROJECT INCORPORATING
experience many of the common traits of industrial problems1 therebyproviding the learners both technical and non-technical skills that are needed to succeed inindustry.Bibliography1. Jonassen, D., Strobel, J., Lee, C. B., April 2006. Everyday Problem Solving in Engineering: Lessons for Engineering Educators. Journal of Engineering Education 95 (2), 139 – 151.2. Hillier, F. S., Lieberman, G. L., 2005. Introduction to Operations Research, Eighth Edition. McGraw Hill, Boston, Massachusetts.3. Castrogiovanni, A., Sforza, P. M., 1997. A Genetic Algorithm Model for High Heat Flux Boiling. Experimental Thermal and Fluid Science 15, 193 – 201.4. Wang, W., Zmeureanu, R., Rivard, H., 2005. Applying multi-objective genetic algorithms in green
Education Research and Development Society of Australasia. Perth, Australia. Retrieved from http://www.ecu.edu.au/conferences/herdsa/main/papers/ref/pdf/Reeves.pdf. 7. Accreditation Board for Engineering and Technology (ABET). (2010). Criteria for accrediting engineering programs. Baltimore, MD: Author. 8. Wilbarger, J., & Howe. S. (2006). “Current Practices in Engineering Capstone Education: Further Results from a 2005 Nationwide Survey”, 36th ASEE/IEEE Frontiers in Education Conference, October 28-31, 2006, San Diego, CA. 9. National Research Council, Committee on Pre-Milestone A Systems Engineering: A Retrospective Review and Benefits for Future Air Force Systems Acquisition. (2008). Pre-Milestone
Without Borders, Engineers for a Sustainable Worldand Engineers for World Health. Research on service-learning in engineering includes a jointstudy conducted at the University of Massachusetts-Lowell and the Massachusetts Institute ofTechnology that showed that students’ participants increased their connection betweenengineering and community needs14.In service-learning, students are paired with a real user in a real community and asked to addressa real need. This user(s) is often different from the students which requires the students to learnabout their user and other stakeholders, the context and the need they are addressing. Thecontext of the projects provides a rich environment for participation from disciplines fromoutside of engineering
software was extensively used and new ideascame up. The students then realized that the software could have been used earlier as a basis forfinding new ideas as well.3.2 Selection of conceptsPotential use of the softwareAfter a number of concepts have been created, a screening and ranking process begins, in orderto determine which concept(s) to develop further. Even at an early stage, material cost orproperties like fracture toughness or optical transparency can guide the consideration ofconcepts. It is therefore a huge advantage to have a concise, coherent and reliable source of datacompiled in the software. A good database should provide access to properties of all materialfamilies; polymers, elastomers, glasses, ceramics, metals and hybrids
ofAlabama has been using in previous years. The Dragon12-Plus MCU from EVBplus has beenthe main hardware that laboratory assignments for ECE 383 have been built around2,3,8. This hascontributed to a decline in the grasp of the fundamentals of microcontrollers and peripheralinterfacing. Possible reasons could include the absence of the connections in physical sight of theuser when working with the MCU, or possibly the sheer magnitude of the device that the studentis working with. The fact that the students working the assignments have not been making thephysical wiring connections from the microcontroller to the peripheral device(s), because of themonolithic nature of the MCUs, may be contributing to this decline in peripheral interfacingaptitude