PrincipalInvestigators of this “Hands-On Learning in Engineering” project were Professors J. Dempsey, J.Carroll, J. Taylor, W. Wilcox, and A. Zander. The teaching methodology for the revised ES100course adapted the ‘integrated teaching and learning’ paradigm pioneered and developed by Drs Page 13.630.2L.E. Carlson and J.F. Sullivan at the University of Colorado at Boulder.2 The adaptation atClarkson is a combination of laboratory experience woven within an introductory computercourse teaching both MATLAB and LabVIEW. Significantly, note that just recently (February,2008), Drs. Sullivan and Carlson were awarded the prestigious 2008 Bernard M. Gordon Prizeby the
, 1978 and 1981. She received her Ph.D. degree in Civil Engineering from Arizona State University in 1994.Carol Considine, Old Dominion University© American Society for Engineering Education, 2008Carol Considine, Old Dominion University Carol Considine is currently an Associate Professor and Civil Engineering Technology Program Director at Old Dominion University. She received her BS in civil engineering from Virginia Tech and MS in civil engineering from University of California Berkeley. Prior to joining the faculty at Old Dominion University she worked in the construction industry for 15 years.Tonya Nilsson, San Jose State Tonya Nilsson is a currently a project engineer working on seismic retrofits
education. These systems operate within the more distalmacro-system of societal cultural beliefs and practices; in this case, cultural beliefs about femalesin science, beliefs about minorities in science, and beliefs about achievement, success, andeconomic mobility.Research questions and hypotheses This paper presents initial findings from an ongoing longitudinal project taking place infive high schools within a large urban school district in the Northeast. A total of 1093 boys andgirls participated in the first year of data collection; for this investigation we limit our analyticsample to the survey data collected from female participants (n = 549), in order to examinecorrelates of girls’ interest in pursuing college coursework in
√ √ √ √ √ √ √ √ ME 4523 Dynamic Systems and Control √ √ √ √ √ √ √ √ ME 4603 FEA in Mechanical Design √ √ √ √ √ √ ME 4702 Mech. Systems/Controls Lab √ √ √ √ √ √ √ √ √ √ ME 4802 Thermal/Fluid Lab √ √ √ √ √ √ √ √ √ √ ME 4811 ME Project Planning Lab √ √ √ √ √ √ √ √ √ √ ME 4813 ME Design Project √ √ √ √ √ √ √ √ √ √Technical Elective Courses ME 3323 Dynamics of Mech. Systems √ √ √ √ √ √ √ ME 3823 Machine Element Design
sessionsstudents are introduced and coached in the following topic areas: 1) Working in Teams 2) Use of software packages (MATLAB) in problem solving, a. Mathematical Operations b. Matrix Operations c. Curve Fitting d. Plotting e. Input/Output f. Scripting g. Branching h. Looping 3) Use of software packages (C++) in problem solving, a. Mathematical Operations b. Input/Output c. Scripting d. Branching e. Looping f. Functions g. Pointers 4) Use of software packages (WORD, POWERPOINT) in communications. a. Introduction to Technical Report Writing b. Effective Use of the LibraryOpen-ended homework projects related to
“forging stronger ties between communitycolleges and four-year institutions.”7However, the existence of articulation agreements is not enough. Most literature also includesdescriptions of the challenges encountered when institutions such as these work together.Funded projects to increase the number of underserved individuals completing a degree to enterengineering must also seek to remove barriers and integrate program curricula as a bridge withthe Community College.8 The Wisconsin Technical College System (WTCS) and theMilwaukee School of Engineering (MSOE) jointly addressed the enrollment difficulties ofWTCS students to MSOE through the development and implementation of statewide transferagreements in Electrical Engineering Technology (EET).9
Structures Composite and Manufacturing Certificate Programs. Michael received his B.S. in International Business from ESC Lille, Graduate School of Management. He is currently working on a Masters of Science in Program & Project Management, focusing on Aerospace Engineering and Learning Science research. He often represents Boeing internationally and domestically as a presenter and has authored PLM integration patents primary relating to advanced aircraft construction, PLM-CAD-CAM metrology and Learning Science research.Craig Miller, Purdue University Craig L. Miller is a professor and a named University Faculty Scholar in the Department of Computer Graphics Technology of Purdue
. Of the studentsthat complete the assignment the average grade is 78%. 15% of students have it fundamentallycorrect. 32% of students do not turn in the assignment at all as they are unable to complete itsatisfactorily. Some students managed to compute volumes of the order of 1x106 and thinknothing of it given the initial overall dimensions of 7 x 6 x 5 units. By the third week of thesemester, students have enough background in their CAD course that they could model the shapeand compute the mass properties of it as an independent check of their work. Very few studentsdo this.At this point students begin to see the value of planning and working on a project in a timelymanner. In this particular case not waiting until the night before something
Page 14.60.2introduction to each philosophy. In Phase II, students are given a set of ethical issues andasked to address those issues as these philosophers might have done. For each issue, astudent would use one persona’s perspective, thinking as Aristotle about one issue and asBuddha about another. In Phase III, each student would write a paper for submission to aprofessional journal or conference.Once trained, tutors would be assigned as ethics consultants to undergraduate engineeringdesign teams. At Drexel, there are freshman and senior design projects. The tutors wouldwork with those teams on matters of ethical concern. Eventually, we hope to expand thisprogram to other disciplines within the curriculum.Introduction Recently, a
developed and are now available for largeand small computers. However, they are not used with the same extent in teaching andlearning difficult subjects of engineering such as electromagnetics. Our approach isdifferent and it is based on the following ideas:≠ The general-purpose symbolic packages (in our case, Maple) are used to do actualsymbolic calculation and to analytically solve the electromagnetic field equations.≠ The approach is project-oriented, in that the students are asked to solve new problems,based on models elaborated by the teaching staff.≠ The students' activity is finalized by scientific reports containing text, formulas andgraphics, while full advantage is taken of the evaluation and visualization capabilities.≠ The students are
State University Stephen J. Krause is Professor in the School of Materials in the Fulton School of Engineering at Arizona State University. He teaches in the areas of bridging engineering and education, design and selection of materials, general materials engineering, polymer science, and characterization of materials. His research interests are in innovative education in engineering and K-12 engineering outreach. He has been working on Project Pathways, an NSF supported Math Science Partnership, in developing modules for Physics and Chemistry and also a course on Engineering Capstone Design. He has also co-developed a Materials Concept Inventory for assessing fundamental knowledge of
platform. However, they do not Page 14.592.5report any results from a traditional control group.In three related studies20-22, group dynamics and performance between teams of studentscommunicating over the Internet (experimental) were compared with teams of studentscommunicating in a traditional face-to-face manner (control). Whitman et al.20 reported thatstudent teams in the experimental group performed equally as well on a final project as studentteams in the control group. But, teams in the control group indicated higher levels of satisfactionwith various measures of group dynamics. Kirschman and Greenstein21 reported higher levels
would ideally lead to good grades (positive feedback) which in turn leads to increased motivation and ultimately more learning.5. At a local scale, complex systems are in a constant state of flux Within complex systems, the local relationships among agents are constantly changing and agents themselves are changing their roles or moving into or out of the system in short periods of time. In other words, there is considerable, varied activity at a local scale. Within engineering education there is much happening at a local scale within a single day or even an hour. There are students in class listening to lectures, working on homework, conducting research on a topic for a project, working in the computer lab, writing papers
Figure 17 Brick project; irst, freshman(design thinking) becomes revealed, and consequently, studio assignment by Maurice McDonaldsolidiied into tangible design criteria. As such, designthinking can be scrutinized and validated with more objective criteria. With the introduction ofcomputational tools, we create an opportunity for individuals with less experience to navigateintuitively through design problems with more conidence. Technology, in this case, enables thedemocratization of specialized and complex knowledge by bringing computationally intensivetasks into a visually accessible working interface. While this might create a false conidence insome individuals, leading to design errors, the ‘democratic’ quality of digital simulation
(Brainard and Carlin2). According to the National Research Council in 1998, the inadequaciesand inconsistencies of collection and maintenance of evaluation and retention data are majorhindrances to projecting future manpower needs and identifying problems in the sciences field.Without access to consistent data which predicts success, engineering programs lack the abilityto pinpoint deficiencies within their academic program and keep talented students. In addition toincreasing attrition rates within engineering majors, another problem faced by departments isattracting talented high school applicants. Felder et al.5 in their study on longitudinal engineeringperformance and retention found that both the increasing difficulty of attracting high
Electrical Engineering and Mathematics Departments at Michigan Tech, North Dakota State University, and at Minnesota State University, Moorhead. Dr. Oliveira current research interests include optical fiber communication systems, Monte Carlo simulations, digital signal processing, wireless communications, and engineering education. She has authored or co-authored 13 archival journal publications and 27 conference contributions. From 2007-2011 Dr. Oliveira is serving as the Michigan Tech project director of the U.S.-Brazil Engineering Education Consortium on Renewable Energy that is funded by FIPSE from the U.S. Department of Education. Dr. Oliveira is an ABET evaluator, and serve as panelist
tight control of implementation. It uses managerialist practices. ≠ Type D is the enterprise and is orientated to the outside world and it espouses continuous learning in a turbulent environment. Management style is one of devolved leadership where decision making is devolved and its dominant unit is the small project team. Students are seen as clients and partners. There is tight policy definition but loose control of implementation.McNay15 concludes from his research that all universities draw on each type ofmanagement.Similarly Coaldrake & Stedman16, suggest that most universities around the world aremoving from loose policy definition to a policy that is more firmly
classrooms.Many of them fall under the general umbrella of active learning methods. Some of these includeinquiry-based learning2, experiential learning3, various types of project based learning4, andworkshops5. An interesting comprehensive program for teaching physics using a hands-oninteractive environment in large classes has been developed by North Carolina State University6.Known as SCALE-Up (Student-Centered Activities for Large Enrollment University Physics), itis being incorporated in schools around the country including Arizona State, MassachusettsInstitute of Technology, and the authors own school, Penn State Behrend7. Much of the work inthese areas has taken place in science classrooms but is now finding its way into engineeringclassrooms as
either in the past or future.The findings of this study will not only serve to inform the project leadership regardingthe effectiveness of the modules, but will also provide the greater community with abreadth of valuable tools and information to both guide online instruction in other coursesand at other institutions as well as the evaluation of these courses.Description of ModulesThe web-based modules12 used in support of the class are customized and holistic indesign. The modules provide an overview of essential background needed for the course Page 14.923.3and present course materials and information using a variety of tools and deliverymethods
function set created provides the minimum number of thermodynamicfunctions required to teach a two-course sequence in undergraduate engineeringthermodynamics. Page 11.65.2Each computational analysis package has strengths and weaknesses when compared to theothers. EES also has the thermodynamic functions discussed here (and functions for many otherfluids). While EES is not a traditional structured programming language, the appearance of EESprograms is similar to the appearance of C or FORTRAN programs, and some users find the unitconversion procedures awkward in EES. MathCAD was chosen for this project because of itsmathematical report appearance
, a three-phase project. These ideas were based on the literature citing theneed for intensive academic planning through intrusive advising, freshman orientation, academicreviews for low-performing students, special programs that provide academic support includingtutoring, group study, and a study center, a sense of belonging on campus, small classes,exposure to faculty during the first years, supplemental (developmental) educational instruction,meaningful undergraduate research, a freshman seminar course, and support of new teachingmethodologies for faculty.9,10 Cultural changes at the University were led by the UniversityPresident centering on UTEP’s vision and mission of providing quality higher education to adiverse student population
confronting engineering topics for the first time; in a sense, they say “Don’tTELL me, SHOW me!”I. IntroductionPhysical models are a great way to both educate and motivate the student and can greatlyimprove student learning. Sound innovative? Sounds new? Not really; these types of techniqueswere in use at the United States Military Academy and nearly every other engineering institutionat the beginning of the 20th century (Figure 1). Hands-on models were once the cornerstone ofevery class in mechanics, but today many classrooms are equipped with only a textbook,chalkboard (if lucky), and a computer projection system. Is this enough? Not hardly! How canfaculty in today’s classrooms foster an atmosphere that is more conducive to student-centeredlearning
polymers and semiconductors. He has co-developed a Materials Concept Inventory for assessing fundamental knowledge of students in introductory materials engineering classes. Most recently, he has been working on Project Pathways, an NSF supported Math Science Partnership, in developing modules for a courses on Connecting Mathematics with Physics and Chemistry and also a course on Engineering Capstone DesignChell Roberts, Arizona State University Chell A. Roberts is an associate professor of industrial engineering. He received his Ph.D. in Industrial Engineering and Operations Research from Virginia Tech in 1991. He has a MS in Industrial Engineering and a BA in Mathematics from the University
curriculum, and increases incrementally in difficulty. Students write several reports in each of the following courses: TENS 2143 Strength of Materials, TENS 2144 Fluid Mechanics, TCET 3244 Construction Materials, TCET 4243 Highway Design,and TCET 4244 Soil Mechanics and Foundations. Page 11.248.6 Student reports are graded as if they were being prepared by a professional. Students receive detailed feedback, and will meet one-on-one with the instructor to discuss improvements in writing style. Finally, a presentation on a group term project is a major element of TCET 4243. Faculty members establish format and standards for
well as professor of mechanical engineering. He received his M.S. and D.Eng. degrees from the University of California at Berkeley. His primary educational passion is real-world design, and he spent his last sabbatical leave at IDEO in Palo Alto, CA, sharpening some rusty design tools.Derek Reamon, University of Colorado DEREK REAMON is a senior instructor of mechanical engineering at the University of Colorado at Boulder, where he has taught Circuits and Electronics, Mechatronics, Component Design and the interdisciplinary First-Year Engineering Projects. He received his M.S. and Ph.D. in Mechanical Engineering from Stanford University. His foremost research interests include assessment
an analysis of the online academy under Page 11.208.2consideration, a discussion of the advised best practices resulting from the study will be includedat each step.The case study on which this paper will focus is the Richland One Virtual Education Resources(Rover) Academy. This is the project of Richland County School District One in Columbia,South Carolina. Rover Academy is being developed to provide students with an increased accessto educational materials and courses not generally offered within their schools. As it currentlyexists, Rover Academy is an intranet environment inaccessible from outside of the school district.This is to pilot
differential pressure transducer. The timing, powermanagement, control, measurement and data storage for the entire payload is handled by anembedded PIC™ microcontroller. A rocket launch date is set near the end of the semester with awell-publicized formal countdown commenced well in advance of the launch to help promoteinterest and build excitement for the event. The students are active participants in the launch andrecovery operations. The raw data collected during the flight is uploaded from the payloadmemory for interpretation and analysis by the students. A flight performance report based on thedata is submitted by each student. This paper presents and discusses the details of the rocketsystem, the role of the project in the course and feedback
seen that evening students are much more grounded in their assessment of theirfuture growth requirements and potential.A good comparison of the day and evening student population is given by the Industrial ControlSystems course sequence as given in the electrical engineering technology program atNortheastern University. Over 200 students have completed this sequence since its inception alittle over 5 years ago. During that time, both day and evening students have participated in thatcourse of study. From an observation of both segments, it can unequivocally be said that the part-time evening students have performed in a far more professional and mature manner. In fact,given the same project material, evening students complete their assignments
variables found in both the academic andprofessional settings that influence particular individuals’ decisions to engage in unethicalbehavior.To understand what motivates a student’s decision to engage in unethical behavior in college andthe connection between this behavior and future unethical behavior in professional practice, theauthors undertook the Work Experience Study (WES) as part of a larger research project. TheWES was designed as an exploratory study to provide insight into students’ decision makingprocesses in instances where they had previously been tempted to engage in unethical behaviorsin college and workplace settings. In short, WES is meant to investigate the usefulness ofseveral important variables involved in students’ ethical
, orwhatever is identified as representing skill tends to vary enormously. As a result, any across-the-curriculum (even classroom to classroom) approach to assessing student learning becomesextremely difficult to fashion simply because we do not agree about what to count specifically,or more generally, what counts as evidence of learning. Furthermore, since the range of teachingand learning situations within which communication is taught and learned – traditionalclassrooms to student team competitions to service-learning projects – are radically different andgrowing increasingly so, that difficulty is certainly amplified. Then, add to this our hope andexpectation that students will learn to communicate across cultural boundaries, to be cognizant ofthe