it convenient to createa lesson for each class period with the questions that would be used during class and a separatelesson for a quiz. Note that student-managed lessons require a handout to the students with thequestions and choices (if applicable), while teacher-managed questions are projected on thescreen for the students to answer.Figure 2: Interface for developing questions for student response Page 12.1018.4Obviously, for the system to be used for grading, there has to be an enrollment of the studentclickers so the instructor and system know who is responding. At Purdue, enrollment is donethrough WebCT, which ensures that the students
. Energy Information Administration.9 Most analysts now foresee world productioncapacity in the range of 100 mmbd to 120 mmbd, achievable with investments comingon-stream in the next few years. Beyond that, a decline in production seems inevitable.The current excess of price (around $60 per barrel as of this writing) over marginal costoffers evidence that world markets are anticipating this peak in conventional oilproduction.Even though some disagreement remains concerning the timing of the transition fromincreasing to declining oil production, most geologists seem to have reached consensusthat a peaking point exists. Further, reasonably available signposts—discovery rates fornew fields, or projections of petroleum demand, and the like—can guide
methods (such as active learning over lecturing) that increase student motivation and interest toward engineering...over 90% of our students go to industry and do not stay in academia, so these are important things to consider. The current list of criteria is very "academic and traditional", so I would probably replace some of the existing qualification criteria. It's important to encourage more of us to develop improve educational methods and styles. Award must include the requirement that recipient(s) provide a teaching improvement track of sessions at the next Section Conference. Also, unclear why we negate ASEE members that teach in institutions that do not have ABET accredited programs. Doesn't this project an elitist
mechanics test Page 13.812.11 data for introductory physics courses,” Am. J. Phys. 66, 64-74 (1998).7. http://www.physicseducation.net/current/index.html; “Ongoing Projects,” item #2.
; Education, 40, pp183-191, 2003.[3] R. A. Bartsch & K. M. Cobern, “Effectiveness of PowerPoint presentations in lectures,” Computer & Education, 41, pp 77-86, 2003.[4] S. M. Butzin, “Using instructional technology in transformed learning environments: An evaluation of project child,” Journal of Research in Computing Education, 33(4), pp 367-384, 2000.[5] M. H. Hopson, R. L. Simms & G. A. Knezek, “Using a technologically enriched environment to improve higher-order thinking skills,” Journal of Research on Technology in Education, 34(2), pp 109-119, 2002.[6] S. T. Marina, “Facing the challenges, getting the right way with distance learning,” Ed at a Distance, 15(30), pp 1-8, 2001.[7] R. A. Reiser, “A
into the material the grains take on a spherical shape withtheir upper ends bending parallel with the surface. The grain of the metal situated in the path ofthe cutting edge is captured by the tool, and the projecting part of the grain is being carried awayin the chip while still in connection with the remaining part of the grain. The middle section of Page 13.1314.3the grain is pulled out to a thin string and is finally torn off. Part of the grain is carried off by thechip while the remaining part adheres to the work surface. The top part of the portion remainingFigure 1. Micrograph of grains showing the distortion of plastically
OK if I use it as a template for my work this fall? • What kind of information can I use from a website and how can I use it? • There is a lot of programming code available for free on the Internet. May I use it for this project?Review of the LiteratureRecent literature addresses numerous concerns and indicates that academic honesty continues tobe an issue for faculty and students alike, and it reports on the impact of technology and existingperceptions.Technology and Academic Honesty Academic honesty is a pervasive issue for educators suchas reported by Jordan & Elmore,12 Bikowski and Broeckelman,1 and Cordova and Thornhill. 4Indeed, Whitley 21 reported on more than 100 research studies on cheating in a 30 year
simulationsused in this project are illustrated in Figures 1 through 5. All of the simulations, with theexception of the Materials Science simulation, were interactive. The simulations were embeddedinto the engineering modules of Materials Science, Mechanical Engineering, Vectors, CivilEngineering, and Electrical Engineering. A sixth engineering module (Matrices) was included inthe course, but had no simulation. Student use of the simulations took place in a computer lab inthe constant presence of a professor. The professor interacted with each student, providingguided feedback on their use of the computer simulations and their overall progress in meetingthe objectives of each engineering module
course write programs in the VPython computer language which apply a discrete form of the momentum principle iteratively through simple Euler integration. In this way, freshman and sophomores can study systems that would be too complex or impossible to do so analytically. Computer modeling also reinforces the theme that the same small number of principles can be used to predict a wide variety of behaviors. The VPython models also produce 3D graphics that enable visualization of complex phenomena.Matter & Interactions is currently used at several large U.S. institutions. The efforts toimplement M&I at Georgia Tech are part of a larger collaborative project with researchers atNorth Carolina State
resources engineering at Penn StateUniversity, the majority of the students, while majoring in civil engineering, are not focusing onwater. This means that motivating the students to learn the material conveyed becomes crucial,and asking the students to work on extensive projects, which often do not have a clear-cutanswer, is difficult. In addition, at Penn State, the average hydrology class size is approximately80 students, which is a considerable contrast to most US Universities where hydrology classesare considerably smaller as shown by a recent survey1 (Figure 1). Such large class sizes make itdifficult to engage the students and provide meaningful feedback on student understanding. Figure 1. Distribution of class sizes based on a survey
fins. None of the students had used theGoal Seek or Solver tools of Excel. A short lecture was given on the use of these tools. Studentswere given the option of using Excel, IHT, EES, or similar software for plotting the curves. Allstudents selected to use Excel to complete their assigned project. The main reason was theconvenience and the availability of Excel of student personal computers.SummaryThe application of Excel spreadsheet in solving one dimensional heat conduction problems wasdemonstrated through several examples. It was shown that Excel is a useful computational toolwhen the solution to problems requires (a) varying one of the parameters, (b) plotting the resultsof calculations, and (c) an iteration process.References1. Kreith, F
York:National Action Council for Minorities in Engineering, Inc.17 Good, Jennifer, Glennelle Halpin and Gerald Halpin, “A Promising Prospect for Minority Retention: StudentsBecoming Peer Mentors,” Journal of Negro Education, Volume 69, No. 4, Fall 2000.18 Gattis, Carol and Bryan Hill, “A Successful Peer Mentoring Program,” Proceedings of the 114th Annual ASEEConference & Exposition, June 24-27, 2007, p. 7-8.19 Tinto, V., Love, A. G., and Russo, P., Building Learning Communities for New College Students: A Summary ofResearch Findings of the Collaborative Learning Project, National Center on Postsecondary Teaching, Learning anAssessment; University Park, PA, 1993.20 Shapiro, Nancy S., Levine, Jodi H., Creating Learning Communities: A Practical
Fluid Machine Design of Statics Dynamics Methods Aided Eng Graphics Transfer Economics Science Design Project Materials in Eng Analysis Lab II 29 34 36 25 23 15 28 23 20 23 17These estimates are extremely helpful to allocate resources effectively, such as assigningclassrooms, assigning instructors, allocating
assessment of student performance in a course directly tied to a specific program outcomeis referred to as an embedded indicator. This type of information reflects a direct assessmentmethod and can provide quite useful information. To be clear, embedded indicators do not referto course grades, and we will discuss those separately. Embedded indicators relate to studentperformance on a particular activity, such as an exam question, project, or report, and correlate toa particular outcome. Courses that are more relevant to a particular outcome, such as shown inTable 1, are better choices for utilizing embedded indicators. It is important for the score of theactivity to directly correlate to a specific outcome. This may take a little time on the part of
of fractures of the condylar process. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 94:678-686.SCOTT LOVALDScott Lovald received a BSME, MEME, and MBA from the University of New Mexico. Scott has been therecipient of a number of awards and research fellowships focused in the design and analysis of medicalimplants using the finite element method and computational fluid dynamics. Over the past five years, hehas been involved in a number of projects and publications pertaining to craniomaxillofacial implant designincluding working with Stryker-Leibinger in Freiburg, Germany. Scott is currently pursuing a PhD inMechanical Engineering at the University of New Mexico. TARIQ KHRAISHIDr. Khraishi currently serves as an Associate Professor of
minds about aerospace engineering, though they hadyet to take an actual aerospace course. At the same period in time there was much publicity ofdownturns in the industry, etc., that likely influenced their decisions as much as any otherfactors. The number of our students continuing on into graduate school has been increasing, andwe are retaining more of our best undergraduates. Much of that trend can be immediately tracedto the introduction to students of senior research faculty in lectures to the intro classes, and thesubsequent employment of undergraduates on research projects that interest them. Building onthat interest and continuing into graduate research from undergraduate wage employment is adefinite consequence of the familiarity with
like to validate the images as stimulus fornoticing by replicating this study in conjunction with interviews. Also, we would like toevaluate the potential of these images for stimulating noticing engineering by asking engineers toevaluate these images. This could provide a norm reference in which to determine if ourinstruments have a ceiling effect. That is, teachers are coming to the academies with the abilityto notice the same categories of engineering characteristics in the images as an engineer wouldnotice.We are encourage with the potential of the coding methods for this project as it relates to otherimportant aspects of engineering thinking, the ability to evaluate complex systems.AcknowledgementsThis work was made possible through
in Figure 12. Students typically account in their laboratory reports howthe lower w/c concrete mixtures are more difficult to compact in the cylinder molds than thehigher w/c mixtures. (a) (b) Figure 12. Comparison Between (a) 0.40 and (b) 0.60 W/C MixturesThis experiment also has a “real world” portion. Students are asked to provide cases where 0.40,0.50, and 0.60 w/c concrete mixtures would be used in engineering practice. This provides anopportunity for students to research engineering projects and determine what w/c is frequentlyused for certain structures (bridge beams, highway pavements, sidewalks, etc…).Concrete Curing ExperimentThe concrete curing experiment is a
establish common criteria and methodologies if mutual trust amongInstitutions and agencies are achieved on a basis of greater transparency in accreditationprocesses. To that end it is essential to promote a peer review process among agencies. But thisproposal had a risk. The Institutional Evaluation Programme has given Europe a solid experiencein transnational evaluation, evaluating close to 120 universities in 35 different countries. This Page 13.1384.2ten-year experience, combined with the outcomes of the Quality Culture project, points to thefact that it is impossible to reach agreement on quality standards when dealing with a diversity
theprojects discussed in this paper. Several projects for improving the first year transition have beeninitiated and documented in engineering schools around the world, including learningcommunities, subject-based preparation and bridging programs, mentorship programming and e-mentoring, however, facilitated study groups and online orientation programs in engineeringschools have not been widely reported or researched.Examining the First Year Experience Page 13.1228.2In 2006, research was conducted to determine and describe the challenges, for both students andinstructors, in the transition to a first year engineering program. Research methodology
facilitate the training of evaluators. • Promote and facilitate each other's participation in seminars and workshops about accreditation systems worldwide • Exchange information including documents, papers and surveys concerning accreditation processes and higher education quality assurance • Explore the feasibility of mutual recognition based on the collaboration, exchange, and assessment of their respective accreditation systems. • Negotiate and mutually agree upon any expenses associated with the implementation of this Memorandum of Understanding prior to the execution of any projects or services. Country Organization
. Journal of College Student Development. 2002. 43(3): p. 395-402.6. Inkelas, K.K. and Weisman, J.L. Different by Design: An Examination of Student Outcomes Among Participants in Three Types of Living-Learning Programs. Journal of College Student Development. 2003. 44(3): p. 335-368.7. Pascarella, E.T. and Terenzini, P.T. How College Affects Students. San Francisco: Josey-Bass, 1991.8. Arms, V.M. A Learning Community for Professionals: The New Engineering Curriculum. Metropolitan Universities, 1998. 9(1): p. 63-72.9. Tinto, V., Love, A.G., and Russo, P. Building Learning Communities for New College Students: A Summary of Research Findings of the Collaborative Learning Project. University Park, PA.: National Center on Postsecondary
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 students in introductory materials engineering classes.Jacquelyn Kelly, Arizona State University
AC 2009-793: A TALE OF TWO CITIES: DISTANCE-LEARNINGTECHNOLOGIES IN AN INTERINSTITUTIONAL BME DEPARTMENTMia Markey, University of Texas, Austin MIA K. MARKEY is an Associate Professor in The University of Texas Department of Biomedical Engineering. The mission of her Biomedical Informatics Lab is to design cost-effective, computer-based decision aids. The BMIL develops decision support systems for clinical decision making and scientific discovery using artificial intelligence and signal processing technologies. The BMIL's research portfolio also includes projects in biometrics. Dr. Markey’s primary interests in improving engineering education are the identification of effective strategies
can implement similar support programs andlearn from our work. Materials, including the physics and chemistry help sheets, will beincluded in the appendix.BackgroundWomen continue to be underrepresented in engineering, earning only 19.3% of bachelor’sdegrees in engineering1 and holding only 11% of engineering positions.2 Despite being asacademically prepared and academically successful as men, they can lag behind men byexhibiting lower levels of academic satisfaction and lack of self-esteem.3 Traditionalassumptions about career options have been reinforced in society and have projected stereotypesthat discourage talented women from continuing in engineering. This is evidenced by researchthat has found a dramatic drop in women’s self-efficacy
primary areas of the study (transfer of procedural and conceptualknowledge of sequence and series, design of in-class formative assessment), several relevantquestions emerge for continuing research. Further analysis in students’ transfer of mathematicalknowledge will consider additional problems in order to more clearly understand how thestudents work with multiple variables as well as moving between the frequency and timedomains in signals and systems. In addition to examining a wider range of problems, we plan tocorrelate in-class problem performance with students’ performance on related exam questionsand class projects. Further study in design of formative assessments will investigate the role ofthe instructor and how to best construct and
Policies for Faculty”, Society of Women Engineers Conference, October.5. Curtis, J.W. (2004) “Balancing Work and Family for Faculty: Why It’s Important”, Academe: Bulletin of AAUP, Nov/Dec.6. http://www.advance.iastate.edu/7. http://ucfamilyedge.berkeley.edu/8. Bird, S.R. and Debinski, D.M. (2008) ISU ADVANCE Collaborative Transformation Project: First Round Focal Department Synthesis Report (March 2008) by Sharon R. Bird and Florence A. Hamrick. Iowa State University ADVANCE Program. Report available online at: http://www.advance.iastate.edu/resources/resources.shtml.9. Quinn, K., Lange, S.E., and Riskin, E.A. (2004) “Part-time tenure-track policies: Assessing utilization”, WEPAN 2004 Conference, June 6 – 9, Albuquerque, New
ethics and engineeringscience(1,2,3,4). MEA research uses open-ended case studies to simulate authentic, real-worldproblems that small teams of students address. As part of a collaborative, large-scale NationalScience Foundation project, this paper describes our first efforts to develop MEAs whichincorporate a laboratory or hands-on component.We will explain more about MEAs momentarily, but first wanted to provide more motivationsfor this specific effort. When teaching thermodynamics on the quarter system, we typicallycover the First and Second Laws of Thermodynamics for both open and closed systems in thirty50-minute class sessions. Due to the rushed nature of this class, there are many fundamentalconcepts which do not get the care and
”.8Exploring advanced techniques such as quasi-static vehicle analysis, RVD 2 builds on RVD 1.The course emphasizes the impacts of suspension design, including ride comfort and handling.Students investigate the oscillations of the sprung and unsprung masses. Taught in a more open-ended format than RVD 1, the course incorporates independent student learning, with severalpaper reviews, in-class presentations and projects throughout the semester. Dr. Kasprzak taughtthis course in Spring 2007, Spring 2008, and is adapting the material for a System Dynamicscourse in Spring 2009.High-Fidelity Simulation, Advanced Gaming SettingThe scenarios incorporated into RVD 2 provided a more advanced context for student learning.Each scenario gave the student specific
and learning opportunities within their discipline.Bibliography1. Nelson, R.K. (2008). Physiology and the biomedical engineering curriculum: How approaches to physiology instruction advance subsequent learning of BME topics. Unpublished report.2. ABET Engineering Accreditation Commission (2007). Criteria for accrediting engineering programs.3. National Academy of Engineering (2004). The engineer of 2020. Washington DC: The National Academies Press.4. Silverthorn, D.U. (2002). Developing a concepts-based physiology curriculum for bioengineering: A VaNTH project. Second Joint EMBS/BMES Conference. Houston, TX: IEEE.5. Linsenmeier, R.A. (2003). What makes a biomedical engineer? IEEE Engineering in Medicine and