, and change in science, technology, engineering, and mathematics education. Primary research projects explore the preparation of engineering doctoral students for careers in academia and industry and the development of engineering education assessment tools. She is a National Science Foundation Faculty Early Career (CA- REER) award winner and is a recipient of a Presidential Early Career Award for Scientists and Engineers (PECASE).Glen DePalma, Purdue University Glen DePalma is a Ph.D. candidate in the Department of Statistics at Purdue University.Ms. Pouneh Eftekhari Page 23.520.1
Education, 29(3), 291-302.2. Macaskill, A., & Taylor, E. (2010). The development of a brief measure of learner autonomy in university students, Studies in Higher Education, 35(3), 351-359.3. Deakin Crick, R., Broadfoot, P., & Claxton, G. (2004). Developing an effective lifelong learning inventory: The ELLI project, Assessment in Education, 11, 247-271.4. Deakin Crick, R., & Yu, G. (2008). Assessing learning disposition: Is the Effective Lifelong Learning Inventory valid and reliable as a measurement tool? Educational Research, 50, 387-402.5. Guglielmino, L.M. (1977). Development of the Self-directed Learning Readiness Scale, Unpublished doctoral dissertation, University of Georgia, Dissertation Abstracts
. Teaching interests relate to the professional development of graduate engineering students and to leadership, policy, and change in science, technology, engineering, and mathematics education. Primary research projects explore the preparation of engineering doctoral students for careers in academia and industry and the development of Page 23.557.1 engineering education assessment tools. She is a National Science Foundation Faculty Early Career (CA- REER) award winner and is a recipient of a Presidential Early Career Award for Scientists and Engineers (PECASE). c American Society
incorporated in the course. It isnoted that 4 of the 64 students gave a "poor" rating to the use of experiments in the course. Thereason for this low rating is unknown, but, in any case, only a very small minority of the studentsfelt this way.Planned Future WorkThree of the four described experiments (i. e., the electric circuit, the cooling of a cylinder, andthe cantilever beam experiments) are portable and can be moved via carts into the computer lab.Plans are to make a small-scale, portable version of the orifice flow meter experiment that canalso be transported into the computer lab. It is also planned to modify the experiments so thatexperimental results can be projected in real-time on the computer lab screen.ConclusionsThis paper discusses
on projects utilizing neural networks for predicting fatigue life and implementing Six Sigma for the development of torque standards. Her teaching interests include robotics, engineering statistics, quality assurance, and Six Sigma.Dr. Garth V Crosby, Southern Illinois University Carbondale Dr. Garth V. Crosby is an assistant professor in the Technology Department at Southern Illinois University Carbondale. He obtained his M.S. and Ph.D. degrees from Florida International University in Computer Engineering and Electrical Engineering, respectively. Dr. Crosby’s primary interests of research are wire- less networks, wireless sensor networks, network security and active learning strategies for STEM. He has served as
limited, F tests can be adjusted, or a multivariate ANOVA can be used. It is most practical to use a procedure such as the Geyser Greenhouse or Hyunh & Feldt to accommodate for violation of compound symmetry/sphercity. 5. Tukey’s test of additivity indicates whether there is an interaction term or residual additivity. If there is an interaction term, power goes down since the type II error for factor A increases. 6. In addition to checking the above assumptions, Multiple Comparison Procedures may be used. The MCPs selected depend on whether spericity has been met. However, they do not apply to the research questions in this project, so they are not run.I hope to learn whether student attitudes improved
decrease in usage of Springere-books at McGill during the time that they were not included in WorldCat Local. Conversely,the usage of Springer e-books increased dramatically at UBC and U of T after the Page 23.744.10implementation of Summon, since they are full-text searchable in Summon. Collecting andanalyzing the statistics for this project was illuminating, and after working with the data andanalyzing the usage patterns, we have recommendations for vendors. These recommendationsinclude allowing discovery layers to not only index their e-books, but to search the full text inorder to increase discoverability and increase the relevance ranking of
in October, more seats are released or additional tours are scheduled. After thesecond week, it is assumed all students are registered and no add additional capacity is added.The actual tour planning and content is determined by the departments. Tours last between 45minutes and 1 hour in length, and occur in the evenings. Each department is allowed to choosethe day and time to make the tour available. The number of sessions offered by each departmentis determined by the projected enrollment and historical data on the choice of major. Thedepartments will use faculty, staff and students to conduct a combination of lecture and hands-onactivities to showcase the opportunities students will have if they decide to pursue that major.For the last
reforming our engineering educational system has been made. The challenge hasbeen how to make the needed change happen in the curriculum. New practices in teaching suchas inquiry- and project-based learning, experiential learning, and service learning10 as a way forlearning non-technical skills are now common.New changes in curricula and/or extra requirements from students can put pressure on thealready-packed engineering curriculum. The reform effort of the department of civil andenvironmental engineering at University of Vermont, described above, developed a series ofthree system courses to implement the reform. Students were displeased about the organizationof the newly designed systems courses.11 Some too-ambitious curriculum reform efforts
June, 2012 from http://www.netdevgroup.com/products.17. Pickard, J., Spence, J., Lunsford, P. 2012. IPv6 Certification and Course Development. Proceedings of the ACM SIGIT/RIIT 2012. Calgary, Alberta.18. Sarkar, N.I. (2006) Teaching computer networking fundamentals using practical laboratory exercises. Education, IEEE Transactions on, 49, 285-291.19. Sharma, S.K. & J. Sefchek (2007) Teaching information security courses: A hands-on approach. Computers & Security, 26 290-299.20. Te-Shun, C. 2011) Development of an intrusion detection and prevention course project using virtualization technology. International Journal of Education & Development using Information & Communication Technology, 7, 46-55.21. VMWare
for on-campus students: No significantdifferences have been noted in exit surveys before and after the change in lecture format. Only 2of the more than 225 students enrolled in the second circuits lab course suggested in the exitsurveys that physical lectures be re-instituted. This is not surprising as most students havealready completed the first LiaB- based lab course, a traditional in-class electronics course inwhich PSpice is used extensively, and an introductory course in computer engineering in whichthey are assigned five hands-on projects that are also completed outside of a classroom. The onlystudents who may be at a disadvantage are transfer students. However, these students generallytake the second circuits lab course during their
-8P1=P2=13; P3=26 x2=7.371e-5 x2=5.199e-8 y2=-5.2e-8 y2=-5.2e-8 x4=7.364e-5 x4=5.199e-8 y4=-0.104e-8 y4=-5.2e-8Educational ImpactThis analysis and design project did not include any undergraduate student contributions. Theresearch was specifically designed for evaluating transformation of rigid and brittle structure intoflexible ones. This process’ ability to demonstrate structural analysis and design for brittlematerials using computational methods is critical for both undergraduate and graduateengineering education at this critical point in
enhance the transfer of core knowledge through active learning. Anoutline of the EFFECT components is provided in Figure 1. Page 23.303.2 Figure 1. EFFECTs pedagocial structure.As shown in Figure 1, each EFFECT begins with a decision worksheet. The decision worksheetprovides a brief context about the problem and asks students to provide an answer to a designproblem. For example, the context to a problem concerning the design of a solar power system3could be as follows. A complete decision worksheet is provided in Appendix 1; it is one of manythat have been developed as part of the NSF CCLI project and is publicly
NSF and CBRI. His research cur- rently involves the NS-3 project and real-time software simulations in the mm-wave domain.Mr. Paul T Phamduy, Polytechnic Institute of New York University Paul Phamduy received a B.S. degree in Mechanical Engineering, from the University of Massachusetts Lowell (UML) in 2010. Upon graduation, he started research in the Nanometrology and Sensors Lab- oratory at UML. Paul completed his M.S. degree in Mechanical Engineering in 2012 focusing in the composite materials. He is currently serving as a teaching Fellow at the Pathways in Technology Early College HS under NYU-Poly’s GK-12 program funded by the NSF and CBRI. He is pursuing a Ph.D. degree in Mechanical Engineering at Polytechnic
. Green, R. & Emison, J. Minding The Gap: An Introductory Course On Engineering And Public Policy. (2006).at 14. Dunn, J. Incorporating Public Policy Into An Engineering Course: Voluntary Programs For Mobile Source Emission Reductions. (2006).at 15. Devon, R. & Haight, J. Katrina In The Classroom: Engineering And Public Policy Through Project Based Learning. (2006).at 16. Hyman, B. Public Policy and Engineering Design Education. INTERNATIONAL JOURNAL OF ENGINEERING EDUCATION 19, 110–117 (2003).17. Yeigh, S. Kindling Undergraduate Interests in engineering through energy and public policy. (1999).at 18. Ross, S. & Karis, B. Communicating in public policy matters: addressing the problem
Page 23.445.1 c American Society for Engineering Education, 2013 E-Book on DSP Theory with Interactive iOS, Java, and Android SimulationsAbstractInternet and multimedia technologies have had a profound impact in STEM education in the pastdecade. The increase in the use of mobile devices among students adds another novel dimensionto course design and delivery. Furthermore, the traditional textbooks are being replaced andsupplemented by inexpensive and mobile e-books, and hence there is an opportunity to integratethe multimedia and mobile technologies in an e-learning environment. As a part of the NSFTUES phase 3 project for development and dissemination of the J-DSP
visits. During the visits to middle and high schools, the Engineering Ambassadors, who are relatable role models, generally provide two types of presentations. Six Ambassadors arrive at the school in the early morning and provide age and subject appropriate presentations and activities that are integrated with the science and math curriculum. Because the Ambassadors present in pairs, they present in up to three parallel classrooms at a time during the school day. The Ambassadors show how engineering is relevant to math and science by highlighting an engineering project such as developing a spinal implant. In addition, the Ambassadors start or conclude the day with a presentation about Engineering
instances of cancer, but it would beincredible to see the number of people whose lives likely were able to be saved by this form ofearly detection. The implications of being able to classify these genes are astounding to say theleast.DNA SpeculationJustin Zobel5 explores where data mining is headed. He explains the potential of DNAsequencing and what challenges are presented in trying to extract useful information from thedata gathered by the DNA sequencing process.The Human Genome Project was a joint effort to catalog all the different genes found in humanDNA. Since its completion in 2000, “the cost of sequencing DNA fell by a factor of around a
of 10.0 while after the course an 7.7 out of 10.0Though the students seem to feel more confident of their ability to implement a digital control algorithmsuccessfully, it will be interesting to see if this methodology is carried over into the execution of their seniorcapstone projects. In addition to the numerical scoring, some students offered the following comments on thequestionnaire form: “I certainly learned how to simulate the C code within an embedded matlab function and the IMPLEMENTING within a C environment” “C code still gives me a little trouble.” “I am confident in my ability to simulate to simulate difference equations after taking this course.” “I now understand this topic better. Any weaknesses lie in my C
need has arisen to define a body ofknowledge relevant to SE.BKCASE is a four year old knowledge-based project with a scope to define a SE Body ofknowledge (SEBoK9) and then use SEBok to develop a graduate reference curriculum for SE,called GRCSE8. A reference curriculum exists at the graduate level for systems engineering(SE), but not at the undergraduate level at present9. The document is ‘forward’ looking withprogram objectives being fulfilled five years after graduation by students in their near to mid-term of their careers. This is in keeping with GRCSE’s goal to develop a professional master’sdegree in SE; that is, a degree intended for someone who will either enter the workforce as asystems engineer, or who is already in the workforces
DeMillo in Abelard to Apple: Fate of American Colleges and Universities refers to asthe multiversity which is “an enterprise that serves many public and private constituents andbalances the desires of many internal and external communities.”13 In this system, the creationof knowledge is highly prized and entities such as the National Science Foundation, NationalInstitutes of Health, Defense Advanced Research Projects Agency, and the Department ofEnergy fund research in the sciences, engineering, and mathematics. The amount of moneyexpended by these federal government agencies to such research is not insignificant. Today, ofthe approximately $120 billion spent on research and development by the U.S. government, $43billion is directed towards
pH = 2.2 75% Monomer 2.0% Crosslinker 8.990E+07 pH = 6.8SUMMARY AND RECOMMENDATIONSIn this paper, we present a laboratory activity on biomaterials and drug delivery forundergraduate engineering students. This aspect of our project focused on structure-propertyrelationships in pH sensitive hydrogels for oral insulin delivery. In upcoming work, drug releaseproperties will be evaluated as a function of crosslink density and monomer concentration aswell as a complete tensile data collection. Through this hands-on activity, students will not onlydevelop skills specific to drug delivery and
reactivethan MA in the polymer synthesis. In both samples the percentage of AA in the copolymer isaround 4% lower than the percentage of AA in the respective reaction mixture. The next phasesof the project will focus on the characterization of the polymer and study of drug release fromthe polymer. This experiments being developed will be used in a materials science class tointroduce students to polymer synthesis, analysis, and characterization for drug deliveryapplications. ACKNOWLEDGEMENTThis work was supported by the National Science Foundation ECC0540855 under grant numberECC0540855. Page 23.168.9 REFERENCES
Scale (Narayanan, 2007). Four “Primary Traits” or “Characteristics” were identified and assessed. Assessmenttools that were utilized included, but not limited to quizzes, home works, research documents, Page 23.226.4laboratory reports, examinations, project binders, etc. Appendix D documents this assessment data collected, using a bar chart that utilizesLikert Scale. Appendix E indicates how to use the pause procedure to enhance lecture recall.Researchers Ruhl, Hughes & Schloss are of the opinion that If Instructors Talk Six MinutesLess, Students Learn More. Appendix F lists the ten principles of learning
Fiigure 6, AutoCAD studeent test resullts before andd after studeents used thee program.Figure 7,, Students reesults on the first test con ntrasted withh their prior A AutoCAD hhomework Page 23.235.9 Fig gure 8, Studeents results on o the first orrthographic pprojection teest contrasteed with their orrthographic projection p hoomework.Region A consists off students wh ho demonstrated sufficieent
Paper ID #5727Beyond SES: Individual Financial Status as a Predictor of Persistence forHigh-performing Undergraduate Engineering StudentsDr. James J. Pembridge, Embry-Riddle Aeronautical Univ., Daytona Beach Dr. James J. Pembridge is an assistant professor in the Freshman Engineering Department at Embry- Riddle Aeronautical University. He earned a B.S. in Aerospace Engineering, M.A. Education in Curricu- lum and Instruction, and Ph.D. in Engineering Education from Virginia Tech. His research has focused on mentoring as pedagogy for project-based courses and understanding the adult learning characteristics of undergraduate
with a variation of approximately ±0.5 µs, which is less than ±3%. The fourth source ofnoise can result from distortion caused by sampled signals with square-top pulses, which arecommon in digital storage or communication systems, rather than signals that conform to naturalsampling, where the tops of the pulses “follow” the sampled signal. Further, note that thedigitization noise caused by the limited 8-bit resolution used in this system was negligible. Conclusion This paper describes the design and operation of low-cost, programmable arbitrary functiongenerator suitable for use in undergraduate laboratories as an analytical tool or as a studentdesign project. Using custom software and a personal
23.37.4Data Collection:Pedestrian and vehicle flow models are the most integral part of this project. Therefore, datacollection for flow modeling is critical. Microscopic flow is modeled by the use of timeheadways. Pedestrian Data CollectionPedestrian data is collected for peak hour to analyze the situation for most critical condition.Two types of data sets are collected during pedestrian data collection; time headwaysbetween pedestrians arriving at unsignalized pedestrian cross walk and the waiting time ofpedestrian at cross walk. Vehicular data collectionVehicular time headways are measured along with their classifications as if they followedlane behavior i.e. all vehicular headways are measured that completely or partially lie in thespecific
Paper ID #6165Engineering Learning Communities – USA National Survey 2012Dr. Jess W. Everett, Rowan University Jess Everett, Ph.D., P.E. is a professor of Civil and Environmental Engineering. He has over 26 years experience as an environmental engineer and professor and has published over 63 refereed journal articles, chapters, and books. He has worked on more than 60 funded projects (totaling over $6M) and has worked with more than 100 undergraduate teams (over 220 different undergraduate students). He has been the director of the Rowan University Engineering Learning Community since 2009.Ms. Maggie A Flynn M.A
Leadership 3. Evaluation Process 3. Budget responsibility Employee 1. Learn 2. Apply Knowledge to Continuously Improve 3. Apply Knowledge to Innovate Page 23.4.6 TEAM EXECUTION OF CORE VALUESUniversity Partner: The university plays a key role in the development and tailoring of thecurriculum to the strategic needs of the organization and in integrating formal opportunities forknowledge applications through course required project assignments