: 1. Exams, Quizzes & In the Classroom a. Do your instructors use Oncourse effectively? b. Are exams, quizzes and homework returned in a timely manner? c. Are exams, quizzes and homework designed/written at the appropriate level for the course level (ex: 100, 200, 300, etc)? d. Are exams, quizzes and homework graded fairly? e. Is the approach your instructors use to teach the material appropriate for the level of the course? f. Do your instructors’ expectations match the level of course they teach? g. Are your instructors on time to class? h. Are your instructors enthusiastic about
, W., Nadolski, R. J., Hummel, H. G. K., & Wopereis, I. G. J. H. (2008). Serious games for higher education: a framework for reducing design complexity. Journal of Computer Assisted Learning, 24, 420-432.10. Nordstrom, P. A. (n.d.) FACAC student survey report, Fall 2006. Retrieved March 2008, from http://tlt.its.psu.edu/about/reports/200611. Caruso, J. B. & Kvavik, R. (2005). ECAR study of students and information technology 2005: Convenience, connection, control, and learning. Educause. Retrieved March 2008, from http://connect.educause.edu/Library/ECAR/ECARStudyofStudentsandInf/41159 Page 14.1052.15
, Page 14.523.4and utilization. I summary, the generator has two main purposes: a) to be connected to the 3transmission of a bicycle so that a cyclist can generate electricity, just by riding a regular bikethat becomes a stationary exercise machine, and b) connect it to a propeller to harvest energy atlow-wind speeds. Hence, this project intends to impact two modern society concerns in anintegrated way: usage of alternative energy sources and developing of attractive human exerciseactivities. For isolated villages and colonies around the world, and even in developed countries,this project presents some ideas to supply them with electricity. 2. Design and Construction of
of women inengineering. Page 14.248.3The students self-selected their design project from a listed compiled by the faculty. One teamchose to partner with a local industry to dispose of waste produced during the manufacturingprocess in a more environmentally friendly way; this team shall be called the Industry-Partnerteam. The second team selected to develop a sustainable water filtration method for a developingcountry; this team shall be referred to as the Water-Filter team. Figure 1 depicts the teamcomposition by major for (a) the Industry-Partner team and (b) the Water-Filter team. ISE MSE ESM BSE FIN
representationalpractices along with providing graphic tools (i.e., symbolic conventions, authorized or justifiedrepresentations) and the ability to achieve classroom consensus through the use of multiplegraphical representations15,16,17.Science as a discourse is a mix of multi-modal forms of representation—linguistic, numerical,graphical and tabular modes—integrated to represent scientific phenomenon18. Studentsencounter two challenges: a) the integration of multiple modes of representation of a particularphenomena or problem19, and b) the learning skills necessary to create representations ofphenomena in an iterative manner to further their scientific thinking20. Teacher understanding ofhow to support student-generated graphics requires some formal appreciation
aquantification and comparison of Capital costs and Operation and Maintenance Costs; Project 2involves sizing of pipes, pumps and storage for a water distribution system; Project 3 requires awater treatment plant analysis to address two plant operation problems; Project 4 simulates awatershed; and the final design project is a detention pond design. The students soon realize thatalthough there are specific goals to be met in a design, there are also inexplicit objectivesrequiring an evaluation of engineering uncertainties and engineering judgment in decision-making. The students are therefore challenged to base their decisions on sound engineeringreasoning and forecasting methods, including multiple iterations of a design with differentapproaches, and to
,schedule the critical needs for a project’s development and link the project’s development withmanufacturing processes, ergonomics, codes and standards and safety. The two-semester, typicalproject sequence follows:Senior Year: First Semester 1. Retrospective search 2. Development of ideas 3. Development of Proposal a. Scheduling/Critical Path b. Cost Factors c. Alternative designs d. Suggested specifications e. Prototype requirements f. Preliminary report 4. Submission of Initial Design ProposalSenior Year: Second Semester 1. Proposal returned with comments 2. Re-development of design 3. Re-development of scheduling 4. Prototype completion (if required) 5. Draft of final
/view/55/84, 2007.4. Fendrich, D. W., Healy, A. F., and Bourne, L. E., Jr., “Long-term Repetition Effects for Motoric and Perceptual Procedures”, Journal of Experimental Psychology: Learning, Memory and Cognition, vol. 17, no. 1, Jan 1991, pp. 137-152.5. National Council of Examiners for Engineering and Surveying (NCEES), “FE Supplied-Reference Handbook (Revised)”, 8th Edition, http://www.ncees.org/exams/study_materials/fe_handbook/, 2008.6. Roediger, H. L. III and Challis, B. H., “Effects of Exact Repetition and Conceptual Repetition of Free Recall and Primed Word-fragment Completion”, Journal of Experimental Psychology: Learning, Memory and
-value = 0.01 (two-sided); and Wilcoxon rank sum test with continuity correction, W = 590.5, p-value = 0.0047.Thus, these small differences in the student populations between the control and the study groupsdid not appear to significantly impact the lab practicum results of the full study group.Students typically enroll in the circuits II lecture coincident with circuits lab. There was a shiftin the lecture grades distribution between the two groups: 83% earned an A or B in circuits IIlecture from the control group as compare to 62% in the study group. The distribution of gradesin the circuits lecture course may reflect the student's general knowledge and understanding ofcircuits which could affect his or her performance on the lab practicum. In
how societal issues and considerations affect the progress of science and technology. b. Stiffness test i. Setup In order to measure the stiffness of the model, students used two probes from Pasco:Force Sensor and a Motion detector. One laptop with Data Studio from Pasco was used todynamically record the force applied on the structure and the associated displacement, Φx. Themodel and test set-up are shown in Figure 10. The students completed this test both before andafter their retrofits to see the effects. ii. Examples of data analysis The students choose to conduct at least three trials for the same model. A sample of thedata reported in graphical form by the student is presented in Figure 11
skill development includingcommunication, teamwork and leadership to the already packed curricula as well asdevelop societal and global awareness and create the next generation of entrepreneurs.Reports, such as those from the U.S. National Academy of Engineering1,2 advocate theintegration of a very broad set of skills into the already packed curricula to preparestudents for the 21st century’s global economy.It is a significant design challenge to create curricula that can accomplish these goals.Conservation principles tell us that if we continue with traditional approaches, we eitherhave to take things out of the curriculum or add time toward graduation. An alternative isto find more efficient learning experiences for students that enhance
summer experience for incomingfreshmen. The National Science Foundation’s Louis B. Stokes [Wisconsin] Alliance for MinorityParticipation (WiscAMP) program and the John Deere Foundation partially funded ($22,700 and$3,000, respectively) ECSE III. The program allowed students to concentrate on E/CS concepts andpractically apply those ideas in and out of the classroom.Unlike the IT-LSCD model, ECSE III did not assume hands-on training led to knowledgeregardless of the starting point. Rather, the need for understanding analytical concepts andaforementioned strategies mattered more in E/CS education. As such, the infusion of constructsinto a quasi-bridge system was more complex. Besides classroom and field instruction, the ECSEIII strategy used
, phasediagrams and microstructures.AcknowledgementThe authors acknowledge the support of this work from NSF CCLI Grant #0737146.Bibliography1. Boulter, C. J., & Buckley, B. C. (2000). Constructing a typology of models in science education, in Gilbert, J. K., & Boulter, C. J. (Eds.), Developing models in science education. Dordrecht, Netherlands, Kluwer Academic Publishers.2. Ben-Zvi, R., Eylon, B., & Silverstein, J. (1986). Is an atom of copper malleable? Journal of Chemical Education, 63, 64–66.3. Donovan, M. S., Bransford, J. D. & Pellegrino, J. W. (Eds.) (1999). How People Learn: Bridging research and Practice. National Academy Press, Washington, DC.4. Kikas, E. (2004). Teachers' conceptions and misconceptions
. Wankat, P.C. and F.S. Oreovicz, Teaching Engineering. New York: McGraw-Hill, 1993.2. Koretsky, M.D., D. Amatore, C. Barnes, and S. Kimura (2008). Enhancement of Student Learning in Experimental Design using a Virtual Laboratory. IEEE Trans. Ed., 51, 76.3. Mosterman, P.J., M.A.M. Dorlandt, J.O. Campbell, C. Burow, R. Bouw, A.J. Brodersen, and J. Bourne (1994). Virtual Engineering Laboratories: Design and Experiments. Journal of Engineering Education, 83, 279.4. Kemeny, J. and B. Zeitler (2001). An online geomechanics course with a virtual rock lab based on streaming audio and vector graphics. Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition.5. Hodge, H., H.S. Hinton, and M. Lightner
13References1. Anderson, L., and Krathwohl, D. Eds. 2000, “A taxonomy for learning, teaching, and assessing: A revision of Bloom's taxonomy of educational objectives.” Boston, MA: Longman.2. Arreola, R., M. Theall, and L. Aleamoni, 2003, “Beyond Scholarship: Recognizing the Multiple Roles of the Professoriate,” Presented at the 2003 American Educational Research Association convention. Available on line at http://www.cedanet.com/meta/Beynd%20Scholarship.pdf, Accessed April 19, 2005.3. Bloom, B. S. 1984. Taxonomy of educational objectives. Boston, MA: Allyn and Bacon, Pearson Education.4. Cobern, W. 1993, Contextual constructivism. In K. Tobin (Ed.), The practice of constructivism in
downward in a slight arc. Page 14.214.6 A Single Input & Output (Group A) Mechanism A1 Mechanism A2 Mechanism A3 B Single Input, Multiple Outputs (Group B) C Circular Link (Group C) Mechanism B1 Mechanism B2 Mechanism C D Constraining Motion in Different Ways (Group D) Key Floating Pivot Figurine used
AcknowledgementsThe author would like to thank Elizabeth J. Mills and Lisa Berman for their editorial review of thisarticle.References [1] R. Boice, “Classroom incivilities,” Research in Higher Education, vol. 37, pp. 453–486, August 1996. [2] L. B. Nilson, Teaching at Its Best. Bolton, MA: Anker Publishing Company, Inc., 2 ed., 2003. [3] J. M. Braxton and A. E. Bayer, eds., Addressing Faculty and Student Classroom Impropri- eties, vol. 99 of New Directions for Teaching and Learning. San Francisco, CA: Wiley Peri- odicals, Inc., Fall 2004. [4] S. Brown, “Civility in the classroom,” http://www.tc3.edu/instruct/sbrown/ fac/civilbib.htm, 2004. [5] P. J. Morrissette, “Reducing incivility in the university/college classroom,” International
[3], is intended for the institutions to demonstrate that thegraduates are qualified. This evaluation body, either jointly with other societies, such as theSociety for Modeling and Simulation International, or individually, may address theassessment process for an M&S degree in electrical engineering.Engineering programs must demonstrate that their students attain the following: a) An ability to apply mathematics, science, engineering, and computing principles. b) An ability to design and conduct experiments, and to analyze and interpret data. c) An ability to design a system, component, or process model to meet needs within realistic constraints, such as economic, environmental, social, political, ethical, health and
60 42.6 4.25 11.955 75 50.7 4.45 10.976 90 47.3 4.2 9.767 105 41.6 4.18 9.858 120 44 4.2 11.379 135 45.3 4.15 10.9410 150 51.6 4.25 10.8Figure 5. Data recording and graphical analysis for 50 W, 12 V incandescent light bulb run by a bicycle generator with pedal power. Page 14.889.7 (a) (b) (c)Figure 6. (a) Graphical analysis for 15 W, 12 V, CFL bulb run in (b) by a
variation of design “story telling” in engineering design teams, International Conference on Engineering Design ICED’03, August 19-21, Stockholm, 2003.12. Sim, S. K., and Duffy, A. H. B., Evolving a model of learning in design, Research in Engineering Design, 15, pp. 40–61, 2004.13. Barrows, H., & Tamblyn, R., Problem-based learning: an approach to medical education, NY: Springer, 1980.14. Torp, L., and Sage, S., Problems as Possibilities: Problem-Based Learning for K–12 Education, 2nd edn., ASCD, Alexandria, VA, 2002.15. Bereiter, C., and Scardamalia, M., Intentional learning as a goal of instruction, in Resnick, L.B. (Eds.): Knowing, Learning, and Instruction: Essays in Honor of Robert Glaser, Erlbaum, Hillsdale, NJ, pp. 361–392
. Asdescribed on the nanoHUB.org website, key characteristics of the nanoHUB.org simulation toolsthat make them good resources for incorporation into classroom environments are: a) they wereproduced by researchers in the NCN focus areas, b) they are easily accessed online from a webbrowser powered by a highly sophisticated architecture that taps into national grid resources, andc) they provide a consistent interactive graphical user interface—i.e. Rappture, which makeseven the most esoteric computational model approachable to experts and non-experts. Rapptureis a toolkit that allows the incorporation of a friendly graphical user interface with the simulationtools in the nanoHUB.org (McLennan, 2005) 2 . For example, Figure 1 illustrates a typical
. (a) (b) Figure 4. (a) Before and (b) after adjusting the O2 and draft in a process heater. Page 14.1062.6 Figure 5. Example screen from heater simulator.Heater SimulatorFigure 5 shows an example screen from an electronic heater simulator that was developedprimarily as a teaching tool. The simulator has numerous inputs that can be varied todemonstrate the effects of a variety of parameters related to fluid flow, heat transfer, thermalefficiency, pollution emissions, and operating conditions. The simulator is semi-analytical asmost of the calculations are based on well
-respondents.The SRC removed any connection to personal identifiers before distributing a copy of the dataset of questionnaire respondents for each institution. Members of the research team developed a student and faculty questionnaire from partsof The Student Persisting in Engineering Survey developed as part of the Assessing Women andMen and Engineering Project (AWE). The Engineering Student Survey contains 114 questions.After a set of demographic items, the questionnaire is organized in seven sections: (a) ImportantFactors in Career Choice, (b) Self-Assessment of Abilities, (c) Classroom Experiences, (d)Support Networks, (e) In- and Out-of-Class Engagement, (f) Opinions about University andDepartmental Climate, and (g) Family and Educational
answers into a coherent big picture. It is important that the questions posed to the expert designer be related to his/her specific experience and perspectives, and not general information that could be found from internet, books, or other source of information. 3) The project’s scope of work that shows the project’s codes analysis. 4) Building selection: the building can be single use (group A, B, E, F, H, I M, R, S, U), mixed use, or even can be a structure with special requirements, such as covered mall, high-rise building, atrium, underground building, motor vehicle related occupancy, private garage, enclosed parking garage, and so on (Chapters 3 & 4, IBC 2006 edition
AC 2009-1227: DID IT WORK? - ANALYSIS OF WAYS TO MEASURE THEIMPACT OF AN AFTER SCHOOL ROBOTICS OUTREACH PROGRAM.Austin Talley, University of Texas, Austin AUSTIN TALLEY is a graduate student in the Mechanical Engineering Department at The University of Texas at Austin. His research focus is in design methodology and engineering education. He received his B.S. from Texas A&M University and M.S.E. from The University of Texas at Austin. Contact: Austin@talleyweb.com.Marilyn Fowler, Austin Children's Museum MARILYN L. FOWLER is a science educator with over 35 years experience with schoolchildren. Her years in education include classroom teaching at the elementary and college levels
Page 14.165.1© American Society for Engineering Education, 2009 AFRICOM and the Corps of Engineers Helmets .vs. HardhatsAbstractService learning projects in developing communities, offer an opportunity for students togain a full appreciation for the cultural and political limitations that engineers face whenproviding technical support to developing nations. To satisfy the project requirement forthe Civil and Infrastructure Engineering MS program at George Mason University, onestudent took on the daunting task of developing a framework for the US Army Corps ofEngineers to provide civil works expertise to desperately needy areas of rural Africa.Africa is a vast continent with over 900 million people
ignited. To analyze the resulting process, launch the premixed closed-process IGcombustion daemon located in the Daemons> Systems> UnsteadyProcess> Specific>Combustion> Premixed> IG Model page. Configure the reaction in the Reaction Panel fortheoretical combustion of octane. Evaluate the reactants state with p1 = 1 atm, T1 = 298 K, andpartially evaluate the products state with Vol2 = Vol1 (for a constant-volume process). In theProcess Panel, load state-1 as the beginning state (b-state) and state-2 as the final state (f-state),and enter Q = W = 0. Click Calculateand then Super-Calculate to obtain thefinal state. The final pressure andtemperature are found in state-2 as1065 kPa and 2911 K, respectively. Inprocesses where a
) 2However, these textbooks do not provide an explanation regarding how the former formula isevolved into the latter formula. Lacking a good explanation for the latter formula in the text-books or by the instructors in classrooms, students are often made to simply take it on faith thatthese two formulas are somehow equivalent to each other. This paper is written to share witheducators of machine design and other readers two alternative paths that will arrive at the lattergeneral form of the von Mises stress: (a) by way of eigenvalues of the stress matrix, (b) by wayof stress invariants of the stress matrix. When used with the existing material presented in thetextbooks, either of these two paths will provide students with a much better understanding
year as shown in Figure 2 (b). Both of them are the fastestgrowing renewable energy sectors. However, electricity from sustainable energy resources(excluding hydropower) in 2007 still represents a small percentage of overall installed electricitycapacity (3%) and generation (2.5%) in the U.S. as shown in Figure 2 (b). Page 14.752.3 Figure 1 US Primary Energy Overview (Quadrillion Btu)2 (a) (b)Figure 2 sustainable energy overview (a) and the energy resources distribution in 2007 (b)3To reduce national consumption of energy and to
terminology in current MEB courses) the focusof the exercise was to test students’ ability to apply ChE principles in a bio vs. a non-bio context.Consequently, the biological problems did not include special biochemical terminology, or it wasclarified on the tests. The problems addressed the general learning objectives of a) Solve amaterial balance problem on a reactive process and b) Solve a material balance problem on anon-reactive process.The test and accompanying survey (on the back of page with bio problem) were administered ina 50 minute period. The first few minutes were used to explain briefly the research project andstudents were given the informed consent forms to review and sign. Students were allowed 20minutes to solve first the bio