Barriers, Bridges, and the Trolls under the Bridge: Issues in Human Factors Education for Engineers and Others William S. Helton, Michele H. Miller, and Robert Pastel Michigan Technological University Houghton, MichiganAbstractHuman Factors (HF) is the scientific discipline concerned with the interactions amonghumans and built systems. HF requires the knowledge of both human experts(psychology) and machine experts (for example, computer science and mechanicalengineering). In this paper, we will present our observations of teaching HF from theperspective of a psychologist, a mechanical engineer, and a computer scientist. We willdiscuss our observations in
Introducing Sustainable Design into First Year Engineering Education Amber J. Kemppainen, Alex S. Mayer, Jacqueline E. Huntoon Michigan Technological University, Houghton, MI 49931 Abstract Engineering students at Michigan Technological University are introduced to sustainability through completion of integrated coursework during their first semester engineering class. From this course, students are able to define sustainability, determine the sustainability of their individual lifestyles, and investigate the sustainability of technological advancements. In their second semester, students learn that engineers need to evaluate the economic, environmental and social aspects of their designs in order
of engineering disciplines and subdisciplines, diversemethods for learning engineering have been developed encompassing both theoretical andpractical aspects.The call for engineering education reform seems to be continuous [1-9]. On the one hand,engineering curricula are slow to change, but on the other hand the target keeps moving. In the1990’s there was a sense that engineering education was out of touch with the actual practice ofengineering. In response, design has become a more prominent part of most engineeringcurricula. In recent years, globalization and the commoditization of many engineering functionshas lent an air of uncertainty to the direction that engineering education should go. While entirecurricula will likely undergo some
d z{z{{ e r zz{{{ zzz{z Student’s combinational circuit (right column = XOR of first three) Figure 1. Digisplay layout for testing combinational digital circuits Proceedings of the 2007 ASEE North Midwest Sectional Conferenceproducing a truth-table-like display of the functions generated by the student circuit. The truth-table format is the same format students are used to using for describing functions, so it is easy tointerpret. Lit LEDs (black circles in Figure 1) correspond to 1’s, and
; • Enabling students to find and communicate information effectively; • Improving the ability of students to reflect on their own learning history; and • Increasing the understanding of a student’s own learning strengths and weaknesses.Such sustainable learning practices are akin to the old adage that if you give a person a fish, s/hewill eat for a day, but if you teach a person to fish, s/he will eat for a lifetime (assuming the fishsupply and techniques are sustainable!).When examining the physical sustainability limits of learning systems, it is important to considerthat cognitive learning generally pertains to the acquisition, manipulation, and application ofinformation. In this context, the medium/technology through which the information
develop an area of competencyuseful to them in their future careers as citizen engineers. This theme requirement was in-spired by the curriculum ThreadsTM requirements employed by the College of Computing atthe Georgia Institute of Technology.7New Infrastructure Course(s)One goal of the revised curriculum is to create a new course (or series of courses) that intro-duces students to the infrastructure. The goals of the Introduction to Infrastructure class(es)and associated topics are shown below. Introduce students to civil engineering (including the history of civil engineering, the role of the civil engineer in society, and the concept of the infrastructure). • Field trips • Lab experiences • Field
approximation in the s-domain(i.e. s / (τs + 1) with 0 < τ and τ sufficiently small but not so small as to introduce numericalproblems). For the students, this was the first time that they could participate in all steps in theprocess, including: (1) dynamic modeling of a mechanical system and obtaining the differentialequations, (2) creating a CAD model in SolidWorks, (3) performing simulations in Simulink®and porting data into MATLAB®, (4) creating a design table in Excel with MATLAB® data, and(5) creating time-sliced configurations and an animation using Animator.Temperature Control of a Die (see Figure 8) This problem was worked on in the early-nineties by the author in response to a friend (andhis colleague) who was working on a die
Society, 2007 POM – Dallas, workshop presented. 2007bJohnson, D.M., Bohmann, L., Mattila, K., Sutherland, J., and Sorby, S. “Meeting the Needs of Industry: Service Systems Engineering Curriculum,” Proceedings of 2007 DSI Mini- Conference in Service Science, Pittsburgh, PA, May 24-26, 2007. 2007bNikitina, S. (2006). “Three Strategies for Interdisciplinary Teaching: Contextualizing, Conceptualizing, and Problem-Centering,” Journal of Curriculum Studies, 38(3): 251-271.Petrie, H.G. (1976). “Do You See What I See? The Epistemology of Interdisciplinary Inquiry Journal of Aesthetic Education,10(1): 29-43.Sorby, S.A., Bohmann, L.J., Johnson, D.M., Mattila, K.G., and Sutherland, J.W. “Defining a curriculum for service systems engineering using
and they will havehard time to learn OPNET in short period of time such as one semester.VI. References[1] N. K. Swain, M. Swain, and J. A. Anderson, “Integration of virtual instruments into an EET curriculum,” Firenze, Italy, 2004.[2] C. Rosenberg and S. G. M. Koo, “Innovative and easy-to-deploy communication networking laboratory experiments for electrical and computer engineering students,” Como, Italy, 2002.[3] Z. Nedic, J. Machotka, and A. Nafalski, "Remote laboratories versus virtual and real laboratories," Reno, NV, 2003.[4] R. P. Ramachandran, L. M. Head, S. A. Mandayam, J. L. Schmalzel, and S. H. Chin, “Laboratory experiments unifying concepts in the communications, digital signal processing (DSP) and very
mixture complex modulus across a range oftest temperatures and loading frequencies. It is found that the students trained in this classwere able to understand the basic engineering experiments.Table 1: An Incomplete International Review of the DEM Study in Pavement AreaAuthor(s) Study InstitutionsRothenburg, L. Micromechanical Modelling of University ofBogobowicz, A Asphalt Concrete in Connection with Waterloo, CanadaHass, R. (Rothenburg et al. Pavement Rutting Problems1992)Chang and Meegoda DEM application on asphalt mixture New Jersey Institute(Chang and Meegoda 1997; with a modified code of TechnologyChang and Meegoda 1999
.ConclusionsAn alternative oral communication exercise has been developed to simulate a common profes-sional setting for both entry-level and experienced engineers. Student response to the exercisehas been overwhelmingly positive. The time commitment for both students and faculty is notexcessive. In addition to oral communication skill development, students gain exposure to ad-ditional material not covered in lecture. Students are provided with the research summaries touse as study guides for exams. Furthermore, this information is presented by the students to thestudents. Proceedings of the 2007 ASEE North Midwest Sectional ConferenceReferencesLang, J.D., Cruse, S., McVey, F.D & McMasters, J. (1999). Industry Expectations of
material presented in class and on the readings in thetextbooks. Each examination includes at least one essay question. Student performance on theobjective portion the of exams is typically fairly uniform over the range of about 45% to 95%.Essay performance is usually excellent with the exception of a typical 15% to 20% who don’trespond to the question. This results in student percentage grades that range from about 50 to thelow 90’s. Students rarely dispute the assigned letter grades.ASSESSMENTThe course has been assessed from the perspective of student acquisition of knowledge and fromthe perspective of student satisfaction with the course and teacher. Student performance isusually high if the assessment item comes from at least two of three
Conference Knowing an Engineer and Engineering Self-EfficacyHackett, G., & Betz, N. E. (1989). An exploration of the mathematics self-efficacy/mathematicsperformance correspondence. Journal for Research in Mathematics Education, 20, 261-273.Lent, R. W., Brown, S. D., & Larkin, K. C. (1984). Relation of self-efficacy expectations toacademic achievement and persistence. Journal of Counseling Psychology, 31, 356-362.Lent, R. W., Brown, S. D., & Larkin, K. C. (1986). Self-efficacy in the prediction of academicperformance and perceived career options. Journal of Counseling Psychology, 33, 265-269.Lent, R. W., Lopez, F. G., & Bieschke, K. J. (1991). Mathematics self-efficacy: Sources andrelation to
-7-may be possible to conclude whether changes in the first year engineering program ordepartmental recruitment efforts have had any effect on student migration between majors.Further, it would be useful to learn more about student attitude, career knowledge andmotivation.Further development of the first year engineering program is needed to provide better disciplinespecific information and experiences to help students align their interests and talents with adegree earlier in their educational experienceAcknowledgementThe authors would like to acknowledge the work of Richard Elenich and the MTU Departmentof Institutional Analysis in providing enrollment data based on student records.ReferencesRowe, C., Klein, S., Mahadevan-Jansen, A., (2005
. We did find evidence for that, and we gained more detailed information about particularaspects of problem solving. What we didn’t expect was the large difference in faculty/studentperceptions of the importance of Attitude/Communication. While it may be more difficult toaddress, faculty and the university as a whole should pay greater attention to this domain if theywant to empower graduate students to be more successful in their graduate work.ReferencesBloom, B. S., Taxonomy of Educational Objectives; The Classification of Educational Goals,New York: Longmans, Green, 1956.MICHELE H. MILLER is an Associate Professor in the Mechanical Engineering-EngineeringMechanics department at Michigan Tech. Dr. Miller teaches courses on manufacturing
include market research, finite element, and other analyses in an attempt to run the project as an independent company. This was a much wider scope than would have been afforded under the external client and resulted in a richer senior design and practicum experience. References Ancona, Deborah G., and David F. Caldwell, “Demography and design: predictors of new product team performance,” Organization Science, 3:3 (August 1992) pp.321 – 341. Bass, Bernard M., and Bruce J. Avolio, Improving organizational effectiveness through transformational leadership, Sage Publications Inc (1994) Donnelly, Richard G., and Deborah S. Kezsbom, “Overcoming the responsibility- authority gap: an investigation of effective
staticpressure ports, the flow has stagnated (come to a stop) at location 1 in Figure 3, and applyingBernoulli’s equation it is simply shown that the flow velocity V is: s 2 (Pstag − Pstat ) V = (4) ρwhere Pstag and Pstat are the stagnation and static pressures respectively and ρ is the fluiddensity. Proceedings of the 2007 ASEE North Midwest Sectional Conference Figure 3: Schematic drawing of a typical Pitot tube.It was difficult finding a simple experiment that could be used to
Binder Specification and Testing, 3rd Edition, Asphalt Institute, Lexington, Kentucky.Asphalt Institute (2001), Superpave Mix Design, Asphalt Institute, 3rd Edition, Lexington, Kentucky.Mamlouk, M. S., and Zaniewski, J. P. (2005). Materials for Civil and Construction Engineers, Addison Wesley Longman, IncPCA (2002), Design and Control of Concrete Mixtures, Portland Cement Association, Skokie, Illinois. Proceedings of the 2007 ASEE North Midwest Sectional Conference 10BiographiesZHANPING YOU received his Ph.D. from University of Illinois at Urbana-Champaign in Civil Engineering. Dr.You is the honored Donald
legends for the charts shown in Figures 6 through 12 are as follows. SA Strongly Agree A Agree M Mixed feelings D Disagree SD Strongly disagree Those of Figure 13 are: VF Very fast RF Rather fast JR Just right S Slow VS Very slow 142007 ASEE North Midwest Section Conference, Educating Engineers for a Sustainable Future, September 20-22, 2007 Figure 6: Survey Q&A - Aerospace summer camp organization was good! Figure 7
., Crittenden, J.C., Durfee, M.H., Gershenson, J.K., Gorman, H.,Hokanson, D.R., Hutzler, N.J., Michalek, D.J., Mihelcic, J.R., Shonnard, D.R., Solomon, B.D.,& Sorby S. 2003. An Education Program in Support of a Sustainable Future. Proceedings of2003 ASME IMECE, 14, 611-618. Proceedings of the 2007 ASEE North Midwest Sectional Conference 10Troschinetz, A.M., Mihelcic, J.R., & Bradof, K.L. 2007. Evolving Engineering Education for the21st Century, Part 2: Developing Sustainability Indicators for a University Campus,International Journal of Engineering Education, 23(2):231-241.World Commission on Environment and Development (WCED). 1987