three distinct but highly correlated areas of innovative design, entrepreneurship, and modeling. She is an Associate Editor for the AEE Journal.Ms. Allison Michelle RobinsonNur zge zaltin, University of Pittsburgh Nur zge zaltin is a Ph.d. candidate in the Industrial Engineering Department at the University of Pitts- burgh. She received her B.S. in industrial engineering at Bosphorus University in Turkey and her master;s degree in industrial engineering at the University of Pittsburgh, respectively. Her research interest involves improving innovation through modeling the design process.Dr. Larry J. Shuman, University of Pittsburgh Larry J. Shuman is Senior Associate Dean for Academic Affairs and professor of industrial
importance for Science and Engineering (S&E) to the United States has been documented ina series of reports for more than half a century. Nevertheless, critical issues for the nation’s S&Einfrastructure remain unsettled. Among them, America faces a demographic challenge withregards to its S&E workforce: Minorities are seriously underrepresented in science andengineering, yet they are also the most rapidly growing segment of the population.Underrepresented minority groups comprised 28.5 percent of our national population in 2006,yet in the same period, represented just 9.1 percent of college-educated Americans in science andengineering occupations. Minorities in science and engineering would need to triple theirnumbers to match their
AC 2012-5061: EXPLORING THE DIVERSITY IN FACULTY CAREERS:FORMATIVE AND SUMMATIVE ASSESSMENT IN A PREPARING FU-TURE FACULTY COURSEMs. Cyndi Lynch, Purdue University, West Lafayette Cyndi Lynch is the Director of Fellowships and Graduate Student Professional Development for the Grad- uate School. Lynch is a registered veterinary technician, focusing on animal behavior. She holds a bache- lor/s degree in animal science and a master’s of science degree in curriculum and instruction from Purdue University. Lynch administers the fellowship program for the university, counseling students on fellow- ship applications, and fostering positive experiences for fellows. In addition to the fellowship respon- sibilities, Lynch
., & Chapman, D. (2007). Upgrading or Replacing Your Learning Management System: Implications for Student Support. Online Journal of Distance Learning Administration, X(I).2. Watson, W.R., & Watson, S.L. (2007). An Argument for clarity: What are Learning Management Systems, what are they not, and what should they become. TechTrends, 51(2).3. Lonn, S., & Teasley, S. (2009). Saving time or innovating practice: Investigating perceptions and uses of Learning Management Systems. Computers and Education 53(3), 686–694.4. Little-Wiles, J., & Naimi, L. (2011). A Study of Traditional Undergraduate Student Engagement in Blackboard Learning Management System. Proceedings from 118th ASEE 2011 Conference. Vancouver
research with undergraduate students,’ http://www.wvresearch.org/index.php, Last accessed on 10/4/11 2. Ann, Q. Gates, Patricia, J. Teller, Andrew Bernat, Nelly Delgado, ‘Meeting the challenge of expanding participation in undergraduate research experience,’ department of computer science, University of Texas Page 25.653.13 at El Paso3. Sarah, S. Adams, ‘Starting and maintaining an academic year undergraduate research program,’ Mathematical association of America, http://www.maa.org/columns/resources/issue%204.html, Last accessed on 10/4/114. Janna, S. W., ‘The Design of a Fluid Meter Apparatus for
understanding of what motivates people can be beneficial to anyengineering student who takes on a leadership position whether it is in academia or othersettings.Bibliography1. Torres-Ayala, A.T. (2010, October). Work in progress: Future Engineering Professors Conceptions of Learning and Teaching. 40th ASEE/IEEE Frontiers in Education Conference. Washington, DC. October 27-30, 2010.2. Pintrich, P. & Schunk, D. (1996). Motivation in Education: Theory, Research & Applications. Englewood Cliffs, NJ: Prentice-Hall3. Ambrose, S. A., Bridges, M. W., DiPietro, M., Lovett, M. C., and Norman, M. K. (2010). How Learning Works: Seven Research-Based Principles for Smart Teaching. San Francisco, CA:Jossey-Bass
local, regional, and international conferences. The courseappears to have performed well with respect to many of the ABET outcomes. Page 25.729.9References[1] Bowman, R. J. “Electrical Engineering Freshmen Practicum,” Proceedings of the 2003American Society for Engineering Education Annual Conference & Exposition, 2003.[2] Farrow, D., and R. LeMaster. “Automation laboratory development enhances studentlearning.” Proceedings of the ASEE Annual Conference & Exposition, Chicago, IL, June 18-21,2006.[3] Scott, S., R. Athinarayanan, Xiaobing Hou, and Shuju Wu. “Integrated curriculum andlaboratory development of an undergraduate
AméricasPuebla.Bibliography1. Fogler, H. S. 2006. Elements of Chemical Reaction Engineering. 4th Ed. Prentice Hall: Upper Saddle River, NJ.2. Jonassen, D. H., Strobel, J., and Lee, C. B. 2006. Everyday problem solving in engineering: Lessons for engineering educators. Journal of Engineering Education, 95(2): 1–14.3. Jonassen, D. H. 2011. Learning to Solve Problems: A Handbook for Designing Problem-Solving Learning Environments. Routledge: New York.4. Jonassen, D. H. 2010. Assembling and Analyzing the Building Blocks of Problem-Based Learning Environments, in Handbook of Improving Performance in the Workplace, Volume One: Instructional Design and Training Delivery (K. H. Silber and W. R. Foshay, eds.), John Wiley & Sons: Hoboken, NJ.5. Flavell, J. H
& Engineering, Oct. 1996, Purdue University, April-June 1997.2. Thornton, L.; Nola, S.; E., G. R.; Asta, M.; B., O. G. Computational Materials Science and Engineering Education: A Survey of Trends and Needs. Journal of Metals, Computational Materials Education 2009, 61 (12).3. Vergara, C. E.; Urban-Lurain, M.; Dresen, C.; Coxen, T.; T., M.; Frazier, K.; Briedis, D.; N., B.; Esfahanian, A.; Paquette, L.; Sticklen, J.; LaPrad, J.; Wolff, T. F. Aligning Computing Education with Engineering Workforce Computational Needs: New Curricular Directions to Improve Computational Thinking in Engineering Graduates. 39th ASEE/IEEE Frontiers in Education Conference, San Antonio, TX, October 18 – 21, 2009.4. Lowe, D. B.; Scott, C. A.; Bagia, R. A
survey provided. Page 25.765.5Figure 1: Green Robotics with Lego Mindstorms Figure 2: Students Utilizing Lego Mindsorms Page 25.765.6S-STEMCurrently, the author of this effort is a co-principal investigator (or co-PI) on a NSF Scholarshipsin Science, Technology, Engineering, and Mathematics (S-STEM) funded grant. This grant hasa primary focus of supporting scholarships for academically talented students demonstratingfinancial need, enabling them to enter the STEM workforce or attending a STEM graduateprogram4. As a co-PI, the author of this effort is responsible for aiding in the selection
AC 2012-3326: INNOVATIVE CURRICULUM FOR ENGINEERING INHIGH SCHOOL (ICE-HS): STATUS UPDATEDr. Shamsnaz Virani, Pennsylvania State University, Great Valley Shamsnaz S. Virani, Assistant Professor of Systems Engineering at the Pennsylvania State University, Great Valley, earned her Ph.D.in industrial and systems engineering from the University of Alabama, Huntsville. She also holds a M.S. in human factors engineering from Wright State University and a B.S. in electrical engineering from The University of Pune, India. Prior to joining Penn State, Virani worked with the Research Institute for Manufacturing and Engineering Systems at the University of Texas, El Paso. She was also a Visiting Assistant Professor at the
in Education, Milwaukee, 2007.[7] D. Waldorf, S. Alptekin and R. Bjurman, "Plotting a Bright Future for Manufacturing Education: Results of a Brainstorming Session," in American Society for Engineering Education Annual Conference, Chicago, 2006.[8] S. J. Miller, R. Doshi, C. Milroy and P. G. Yock, "Early Experiences in Cross-Disciplinary Education in Biomedical Technology Innovation at Stanford University," Journal of Engieering Education, vol. 90, no. 4, pp. 585-588, 2001.[9] N. Holsermann, D. Grube and S. Bogeholz, "Hands-on Activities and Their Influence on Students' Interest," Research in Science Education, vol. 40, no. 5, pp. 743-757, 2010.[10] M. A. Vernier, B. E. Carruthers and R. J. Freuler, "Use of a Low-Cost
correct any serious design problems before the sensorsare fabricated. A key deliverable is the implementation of the design algorithm, usually in aspreadsheet (see Figure 4).Students were guided toward designing load cell transducers configured as circular aluminumrings because aluminum rings of various sizes were readily and inexpensively available from thedepartment machine shop. Some student teams whose members had machine shop experiencechose to design and fabricate transducers of other types, such as a C-shaped transducer whichhad multiple attachment points to allow its range to be adjusted and an S-shaped transducerwhich was similar to some commercial designs (see Figure 5). Figure 4: Load cell transducer design spreadsheet created by
presents practicalapplications of nanotechnology, fabrication and characterization of nanomaterials, and futurepossibilities. The course gives examples where nanoscale properties are different from bulkscale properties, and how these differences can be exploited for the development of commercialproducts.The paper describes the implementation of the NanoExposed! course including course topics,activities, faculty involved as instructors, guest speaker(s), and resources used. Specific topicsfrom different disciplines are given as examples. It also includes preliminary assessment resultsas well as student data such as the different majors enrolled in the course. The course was firsttaught during the Spring 2011 semester and taught again during the
for writing the paper, their activity was less frequent incomparison to teams 3 and 5. Team 1’s wiki history contributions revealed that only halfof the team members were writers of the paper for the most part. Their activitiesprimarily were content contributions and formatting. With only 17 percent of activityattributed to edits. In contrast, teams 3 and 5 had higher percentages attributed to edits,emphasizing more dialog between team members rather then individual contributions.Contributions history for teams 3 and 5 also showed that there were contributions fromeach of the team members, making their work experience more of a collaborativeprocess.The meaning of collaborative process for each of the team members is an importantconsideration
. Page 25.1015.12References 1. Azis, Y. and Osada, H., “Innovation in management system by Six Sigma: an empirical study of world-class companies.” International Journal of Lean Six Sigma, 2010, Vol. 1, No. 3, pp. 172-190. 2. Byrne, G., Lubowe, Dove., and Blitz, A., “Using a Lean Six Sigma approach to drive innovation.” Strategy and Leadership, 2007, Vol. 35, No. 2, pp. 5-10 3. Bisgaard, S., “Innovation and Six Sigma”, ASQ Six Sigma Forum Magazine, May 2008, Vol. 7, No. 3, pp. 33 4. Figueroa, E., and Conceicao, P., “Rethinking the innovation process in large organizations: a case study of 3M.” Journal of engineering and technology management. 17(2000) 93-109. 5. The theory
work were previously presented at the ASEE Southeastern SectionAnnual Conference in 200818.References 1. Ennis, B. J., J. Green, and R. Davies, “Particle technology: the legacy of neglect in the U.S.,” Chem. Eng. Prog., 90(4), 32-43 (1994). 2. Nelson, R. D., R. Davies, K. Jacob, “Teach ’em particle technology,” Chem. Eng. Educ., 29, 12-16 (1995). 3. Chase, G. G., and K. Jacob, “Undergraduate teaching in solids processing and particle technology,” Chem. Eng. Educ., 32, 118-121 (1998). 4. Dave, R. N., I. S. Fischer, J. Luke, R. Pfeffer, and A. D. Rosato, “Particle technology concentration at NJIT,” Chem. Eng. Educ., 32, 102-107 (1998). 5. Donnelly, A. E., R. Rajagopalan, “Particle science and
interactwith and provide feedback from the customer were substantially improved in the second semester.This implies the faculty’s efforts in emphasizing design innovation rather than design analysis inthe class. a bFigure 1. a) Total Organic Carbon Analyzer (TOC), Model 1030 S. b) Examples of student’s workfor developing of an automated system for inserting specimen cups in a carbon analyzer: fromrack and pinion traversing design, through belt and chain drives, drum assembly with a swing arm Page 25.5.6to using a robotic arm and four bar linkages.Table 1 shows the top and bottom three scored
, Environmental Engineering Body of Knowledge Task Force, Annapolis, MD.2. ASCE (2004), Civil engineering body of knowledge for the 21st century, Body of Knowledge Committee of the Committee on Academic Prerequisites for Professional Practice, Reston, VA.3. NSPE (2007), Code of Ethics for Engineers, Alexandria, VA, Publication 1112, http://www.nspe.org/resources/pdfs/Ethics/CodeofEthics/Code-2007-July.pdf (accessed Jan. 3, 2012).4. Azapagic, A., Perdan, S., and Shallcross, D. (2005), How much do engineering students know about sustainable development? The findings of an international survey and possible implications for the engineering curriculum, European Journal of Engineering Education 30(1), 1-19.5. Kagawa, F
Press, Washington, DC. (2004)3. Welch, W. W., Klopfer, L. E., Aikenhead, G. S., & Robinson, J. T.: The role of inquiry in science education: Analysis and recommendations. Science Education 65, 33—50 (1981)4. Bloom, L. Z. & White, E. M.: Inquiry: a cross-curricular reader. Englewood Cliffs (ed), Prentice-Hall, Inc. NJ. (1993).5. Tsankova, J. and Dobrynina G.: Developing curious students. Integrating Inquiry across the Curriculum, 85—109, Corwin Press, Thousand Oaks, CA. (2005)6. LaPlaca, M. C., Newstetter, W. C., Yognathan, A. P.: Problem-based learning in biomedical engineering curricula, In Proceedings Frontiers in Education Conference 2, F3E-16-21. (2001)7. Froyd, J. E. Ohland, M. W
. The results of this study bolster evidence to support theimportance of the first year experience for engineering technology students. Both academically Page 25.331.8strong and weak students drop out of the major equally. Educators hoping to improve thenumber of STEM graduates should explore first year interventions designed to support thesuccess of students. References 1. Beering, S. (2010). Preparing the next generation of STEM innovators: Identifying and developing our nation’s human capital. Retrieved from http://www.nsf.gov/nsb/publications/2010/nsb1033.pdf 2. Gibbs, R. (2009
compared.6,7 The existing literature about TFIDF describes it as atechnique used to classify documents based on keywords and modifiers. Specifically, TFIDF isused to describe documents using hierarchical subclasses, or other creative methods where thealgorithm is used repeatedly per subclass. For example, a keyword for a computer hardware partmight be described as “comp.sys.ibm.pc.hardware”, and this is an example of where thealgorithm is used repeatedly in a loop within each subclass. From a computational perspectivethis puts a large load on the processor(s), and as such is quite intensive, but the results aregenerally accurate. Although we are not using a repeated looping method within subclasses forthis study, we can still use the TFIDF to
the global Science, Technology, Engineering andMathematics (STEM) enterprise. While national engineering baccalaureate productiongrew in 2010 by 5.3% 78,347, the fractions of this total awarded to African Americans,Latinos, and American Indians, increased only slightly. Degrees earned by these threehistorically underrepresented group’s peaked-in percentage terms-in 2003 at 11.6%, thendeclined for several years and now, in 2010, are back up to 11.5%. These samerace/ethnic groups are projected to make up 33.9% of the U.S. population graduatingfrom high school in 2014. Engineering degrees awarded to women have followed asimilar trajectory-growth through the 1990’s with a percentage peak in 2000 at 20.6% ofthe total. In 2009, women represented 18
consideration. These objectives are noted in eachcourse syllabus and explained to the students in the first class meeting of every semester.The faculty members who are assigned to construction courses identify corresponding examquestion(s), homework assignment(s), and/or class project(s) for each learning objective. Similarto the program level assessment, student work is assessed at the end of the semester for level ofperformance. These results are then grouped under the simplified assessment categories.Table 1 presents the results of the course specific learning outcomes assessment for the CSM4013 Construction Estimating I course. In this example, there are four learning objectives andeach objective is identified with four final exam questions
) Engineering content a) Students identified the role of clients/users b) Students identified criteria/constraints c) Students modeled their solution(s) prior to creating their final prototype d) Students identified connections between engineering and society e) Students utilized peer and teacher feedback to make decisions about redesign f) students utilized data acquired through testing when making decision about redesign3) Gender differences a) Were girls more, equally, or less actively engaged (answer for each stage of the engineering design process) b
; portability of PV equipment; and ability to run the laboratory experiments indoorswhen a controlled solar source is required as well as when weather conditions are not conduciveto the PV experiment. The PV Systems course and corresponding laboratory developed at ourinstitution incorporate all above mentioned requirements.Photovoltaic (PV) systems lecture componentThe first challenge we met was the choice of the course textbook(s). We evaluated all textbookson photovoltaic systems and solar power available on the market at that time. Most of theavailable textbooks had the same flaws as the general course offerings for photovoltaic systems:they were either at the trade level geared towards installer training, or at the four-year schoolengineering level
Engineering”, 61st International AstronautCongress, Prague, Czech Republic, 2010.[7] D. Lanning, W. Lestari, S. Waterhouse, “A Laboratory-Based Course in AerospaceEngineering Failure”, Proceedings of the 2010 American Society for Engineering EducationZone IV Conference.[8] P. H. Oosthuizen, “Use of Aircraft Crash Cases in Teaching Engineering”, American Society Page 25.41.11for Engineering Education, Engineering Teaching and Learning Practices (ETLP), 2007.[9] N. J. Slegers, R. T. Kadish, G. E. Payton, J. Thomas, M.D. Griffin, D. Dumbacher, “Learningfrom failure in Systems Engineering: A Panel Discussion”, Systems Engineering, Volume 15,Issue 1, pp
. International Journal of Engineering Education, 2003. 19(5): p. 657-662.9. Gijbels, D., et al., Effects of problem-based learning: A meta-analysis from the angle of assessment. Review of Educational Research, 2005. 75(1): p. 27-61.10. Kolari, S., E.L. Viskari, and C. Savander-Ranne, Improving student learning in an environmental engineering program with a research study project. International Journal of Engineering Education, 2005. 21(4): p. 702-711.11. Schmidt, H.G., J.I. Rotgans, and E.H.J. Yew, The process of problem-based learning: what works and why. Medical Education, 2011. 45(8): p. 792-806.12. Hmelo, C.E., G.S. Gotterer, and J.D. Bransford, A theory-driven approach to assessing the cognitive effects
., Lenz, E.S., "Design of Hybrid Distillation-Vapor Membrane Separation Systems," Ind. Eng. Chem. Res., 48, 91541- 9162, (2009). Page 25.169.8[9] Sommer, S., Melin, T., "Design and Optimization of Hybrid Separation Processes for the Dehydration of 2-Propanol and Other Organics., Ind. Eng. Chem. Res., 43, 5248-5259, (2004).[10] Burdyny, T., Struchtrup, H., "Hybrid membrane/cryogenic separation of oxygen from air for use in the oxy-fuel process," Energy, 35, 1884-1897, (2010.[11] Haelssig, J.B., Tremblay, A.Y., Thibault, J., "A new hybrid membrane separation process for enhanced ethanol recovery: Process
-H. Tjaden for his constant support using the Unix Pool of the Department ofMathematics. O. H. thanks for the hospitality at Technische Universität Berlin during his stays inOctober 2011 and March 2012 when this paper was prepared. Page 25.175.8Bibliography1 W. Scharlau, Schulwissen Mathematik: Ein Überblick, 1995, Vieweg, Braunschweig.2 W. Schirotzek, S. Scholz, Starthilfe Mathematik, 5th ed., 2005, B.G. Teubner.3 E. Cramer, E., J. Neslehova, Vorkurs Mathematik, 2nd ed., 2005, Springer, Berlin, Heidelberg, New York.4 D. D. Budny, Mathematics Bridge Program, Frontiers in Education, Vol, No 1, 1995, 2a4.11-2a4.15.5 S. Jeschke, A