eachyear and the courses to be used for their assessment. The assessment plan also specifies theinstrument(s) to be used for assessment. The assessment plan, its findings and recommendationsare documented and reported annually in a Program Annual Review (PAR). The PAR reports areentered and archived in a web assessable central system known as AMS (Task streamAccountability Management System). In 2008, National University acquired the AMS system tosupport the assessment process. AMS provides a mechanism for tracking recommendations,action plans, and results from year to year. The Curriculum Map, Multiyear Assessment Plan, aswell as all assessment findings and recommendations are archived in the AMS system. The PARreport is reviewed by the Chair and
* Averaging 1.5 FDA approvals per year† 2007: 19 NMEs [lowest since 1983] 1000’s of samples 2008: 21 NMEs [29% new-in-class] Balancing complexity of biology against 2009: 24 NMEs [17% new-in-class] heterogeneity of patients Maybe…but can it be more efficient?*Paul et. al, Nature Rev. Drug Discovery, March 2010; † Leigh Anderson, Clin Chem, 2010National Institutes of Health (NIH):27 Institutes and CentersNHGRI NIA NIDA
and teaching styles in engineering education, Engineering Page 24.1363.12Education, 78, 674-681, 1988, Author's Preface.4. Tall, D. (1991), Intuition and rigor: the role of visualization in the calculus. In Zimmerman& Cunningham (Eds.), Visualization in Mathematics, M.A.A., Notes No. 19, 105-119.5. Heath, M., Malony, A., Rover, D. (1995), The visual display of parallel performance data,Computer, 28, 21-28.6. Wood, S. (1996), A new approach to interactive tutorial software for engineering education,IEEE Transactions on Education, 39, 399-408.7. Novick, L. R., Hurley, S. M., Francis, M. (1999), Evidence for abstract, schematicknowledge of three
a 1800’s technologyAppreciation of posed an interesting case” Unique 2 “stipulation of using pre 1900 technology made me think how hard Constraints inventors and scientists had to think outside the box to prove theories and invent … technologies” Page 24.1409.7 Hands-On “interesting lesson that I took away from the RDC was becoming 1 Skills more comfortable with biomedical equipment”An additional indirect assessment of students’ assessment of RDC
-446.4. DeMarco, T. 1982. Controlling software projects: management, measurement & estimation. Yourdon Press, New York, NY.5. Humphrey, W. S. (1988). Characterizing the software process: a maturity framework. Software, IEEE, 5, 2 (March/April, 1998), 73-79.6. Kaner, M., and Karni, R. 2004. A capability maturity model for knowledge-based decision-making. Information, Knowledge, Systems Management, 4, 4 (December, 2004), 225-252.7. Keller, K., and Mack, B. 2013. Maturity Profile Reports (March 2013). Retrieved May 17, 2013 from http://cmmiinstitute.com/assets/presentations/2013MarCMMI.pdf.8. Kitson, D., and Masters, S. 1992. Analysis of SEI Software Process Assessment Results 1987-1991, Technical Report
differences with static industries. International Journal of Production Economics, 2012. 135(2): p. 541-551.12. Lo, C.K.Y., A.C.L. Yeung, and T.C.E. Cheng, The impact of environmental management systems on financial performance in fashion and textiles industries. International Journal of Production Economics, 2012. 135(2): p. 561-567.13. Kus, A., E. Unver, and A. Taylor, A comparative study of 3D scanning in engineering, product and transport design and fashion design education. Computer Applications in Engineering Education, 2009. 17(3): p. 263- 271.14. Ashdown, S. and S. Loker. The 3D Body Scanner - Ready-to-Wear. 2011; Available from: http://www.bodyscan.human.cornell.edu/scene7354.html.15. Fogliatto, F.S. and
professional development topics within the eightranked professional development areas (Table 2) on a Likert scale from 1 to 4. Respondents areprimarily interested in topics related to research and job acquisition. Of lower importance wereservice related topics, work-life balance, public speaking, and navigating office politics. Thisorder of ranking is similar to one seen in previous study on student expectations from aprofessional society in environmental engineering.5 Page 24.487.6Table 2: Mean interest of respondents (n = 46) in professional development topics (a-s) on aLikert scale from 1 (not at all interested) to 4 (very interested
scientifically andtechnologically literate society and to increase and improve the STEM education workforce.‟” Inorder to both increase and improve this workforce, we must “expand the STEM pipeline fromour own domestic talent pool”.7In their report, the President‟s Council of Advisors on Science and Technology outline “a two-pronged strategy for transforming K-12 education”, by focusing “on both preparation andinspiration”, and recommend that we must “create opportunities for inspiration throughindividual and group experiences outside the classroom” for all pre-college students.8Specifically, they call for creating “STEM-related experiences that excite and interest students ofall backgrounds.”8 [emphasis added]The model of building academic capital and
thecourse to train students to start with proper software engineering practice of keeping testing inmind while programing. This gives the students advantages in preparation for future softwareengineering courses while still getting solid CS1 knowledge. We understand that adding software engineering to CS1 is not a new idea, which has beenproposed since 90’s [3] [4] [5]. The goal of this paper is to take measurement of impact ofintroducing various software engineering concepts to help faculty decide what should be addedunder the tight schedule of the course. After this case study, we are quite convinced that IDE andbasic testing concept should be included in CS1. The rest of the paper is organized as follows.Section 2 describes how IDE was
of the Technology and Society (T & S) Division and as the ASME district B leader. He also serves as the treasurer and secretary for the ASEE Engineering Ethics Dvision.Ms. Nadia Sunny, Grand Valley State University Nadia Sunny is pursuing a Master’s degree in Biomedical Engineering at Grand Valley State University, Michigan. She received her Bachelor’s in Chemical Engineering from Bangladesh University of En- gineering and Technology in 2004 and Master’s in Business Administration from Institute of Business Administration, Dhaka University in 2008. She has a diverse work experience in mechanical fabrication company, urea process plant, telecommunication equipment vendor and bank. She received excellence awards
. International Journal of Mathematical Education in Science and Technology, 44 (5), 673-684.2. Andrews, T. M., Leonard, M. J., Colgrove, C. A., & Kalinowski, S. T. (2011). Active learning not associated with student learning in a random sample of college biology courses. CBE – Life Sciences Education, 10, 394-405.3. Bowers, J., & Zazkis, D. (2012). Do students flip over the flipped classroom model for learning college calculus? Proceedings of the 34th Annual Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education. Kalamazoo, MI: Western Michigan University.4. Herscovics, N. (1989). Cognitive obstacles encountered in the learning of algebra. In S. Wagner & C. Kieran
. Krudysz, J. S. Li and J. H. McClellan, "Web-based Bayesian tutoring system," in Proc. 4th IEEE Signal Processing Education Workshop, Grand Teton, 2006.9. M. MacGrath, "Visual learning for science and engineering," Computer Graphics and Applications, IEEE, vol. 25, no. 5, pp. 56-63, 2005.10. R. G. Baraniuk, C. S. Burrus, B. Hendricks and G. Henry, "Connexions: DSP education for a networked world," in IEEE International Conference on Acoustics, Speech and Signal Processing, Orlando, 2002.11. J. Peukera and J. McFerran, "Effect of Multiple Choice Testing on Student Performance in an Introductory Engineering Course," in ASEE Annual Conference, Atlanta, 2013.12. M. Simoni, M. Aburdene and F. Fayyaz, "Analog Circuit Based Activities to
leadershipdevelopment of the respondents.References[1] Hochstedt, K., Erdman, A., and Schuhmann, R., “Learning Expectations and Outcomes for an Engineering Leadership Principles Class,” Proceedings of the 2013 ASEE Annual Conference, Atlanta, GA, June 2013, Paper 6028.[2] Egan, T., “The Impact of Leader Coaching Behavior on Engineers’ Motivation to Learn and Voicing Behavior ,” Proceedings of the 2013 ASEE Annual Conference, Atlanta, GA, June 2013, Paper 7839.[3] Pitts, S., McGonagle, S., and Klosterman, S., “Developing Engineering Leaders using Engineering Leadership Capabilities and Leadership Labs,” Proceedings of the 2013 ASEE Annual Conference, Atlanta, GA, June 2013, Paper 8230.[4] Osagiede, A., Cox, M., and Ahn, B., “Purdue
-12 Science, Technology, Engineering and Math - STEM Education for America’s Future,” Washington, D.C., 2010. 3. Ellis, E.A., Jackson, H. and Wynn, K.K., “Incorporating Engineering in PreK to Grade 12 Curricula through Career Imprinting,” Proceedings of the 39th ASEE/IEEE Frontiers in Education Conference, San Antonio, TX, 2009. 4. Brady, P., and Saliklis, E., “The structure of a Story,” Proceedings of the 39 th ASEE/IEEE Frontiers in Education Conference, San Antonio, TX , 2009. 5. http://www.leaparts.org 6. Douglas, J., Iversen, E., and Kalyandurg, C., “Engineering in the K-12 Classroom: An Analysis of Current Practices & Guidelines for the Future,” ASEE Washington, D.C., 2004. 7. Yasar, S., Baker
in Student Motivation Characterize Differences between Engineering Disciplines. ASEE/IEEE Frontiers in Education Conference. Seattle, WA.7. Grigg S. J. & Benson. L. C. (2012) Effects of Student Strategies on Successful Problem Solving. 2012 ASEE Annual Conference, San Antonio, TX.8. Benson, L. and A. Kirn (2013) CAREER: Student Motivation and Learning in Engineering. ASEE 2013 Annual Conference. Atlanta, GA.9. Jonassen D.H. (2004) Learning to Solve Problems. San Francisco, CA: Pfeiffer.10. Kirn, A., S. Grigg and L. Benson. (2013) Relationships between Engineering Student Motivation and Problem Solving Performance. American Educational Research Association Conference. San Francisco, CA.11. Bandura, A. (1977) Self-efficacy: toward a
, then (1) provide as precise of a geo-location as possible in order to enable the Explosive Ordnance Disposal (EOD) expert to respondto the exact location and (2) provide as much information as possible on the located object(s) toan EOD subject matter expert (SME) on shore. The goal of providing this information was toenable the SME to assess if the object was potentially dangerous, not dangerous, or potentially sodangerous that perhaps divers should not be in their vicinity. It is important to note that the toplevel objectives provided to the student team were purposely generalized and not directive innature, in order to encourage non-traditional and out-of-box solutions and to avoid driving thestudent team toward a specific solution. Finally
. 259Á275, 2009. 3. Jordan, S., and Mitchell, T., “e-Assessment for learning? The potential of short-answer free-text questions Page 24.280.11 with tailored feedback,” British Journal of Educational Technology, vol. 40, 2009, pp. 371–385.4. Wood, D., “A scaffolded approach to developing students’ skills and confidence to participate in self and peer assessment,” ATN Assessment Conference 2009: Assessment in Different Dimensions, 2009, p. 374.5. Hake, R. R., “Interactive-engagement versus traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses,” American journal
Paper ID #9372Collaborative Research: Identifying and Assessing Key Factors of Engineer-ing InnovativenessDr. Senay Purzer, Purdue University, West Lafayette S¸enay Purzer an Assistant Professor in the School of Engineering Education at Purdue University. In 2011, she received a NSF CAREER award, which examines how engineering students approach innovation. She is also a NAE/CASEE New Faculty Fellow. Purzer conducts research on aspects of design education such as innovation and information literacy.Dr. Kathryn Jablokow, Pennsylvania State University Dr. Kathryn Jablokow is an Associate Professor of Mechanical Engineering
1.8 2 Time (s) -3 Time (s) -3 x 10 x 10 Figure 1. On the left, a cosine signal sampled at close to the Nyquist rate. On the right, the same signal, upsampled five times.Sampling and plotting. When studying a signal on an oscilloscope, one expects to see the actualwaveform displayed. The same is not
conception should aid in highlighting some of the underlying variables of causation.References1. Seery, N., D. Lane, and D. Canty, A Comparative Study Exploring the Impact of Assessment Criteria on Eliciting Graphical Capability, in ASEE Annual Conference and Exposition. 2012: San Antonio, Texas.2. Sorby, S., Educational Research in Developing 3-D Spatial Skills for Engineering Students. International Journal of Science Education, 2009. 31(3): p. 459-480.3. Delahunty, T., N. Seery, R. Lynch, and D. Lane, Investigating Student Teachers' Approach to Solving Applied Analytical Graphical Problems. Engineering Design Graphics Journal, 2013. 77(1): p. 5-22.4. Delahunty, T., N. Seery, and R. Lynch
assignments, open lab tutorial, or problem(s) • Application • Prepare for next class • Evaluation: online quiz assignments or lab or turned in solutionThe course consists of five main components: experimental microfluidics, nanotechnologyresearch, group presentations on nanotechnology topics, a poster presentation on the microfluidiccell-shearing experiments, and an oral presentation on the hypothetical nanotechnology LOC.Respectively, these contribute about 50%, 20%, 10%, 10%, and 10% of the final project grade.The final poster and oral presentations are judged as part of a final competition to rewardresearch quality and presentation skills.The experimental microfluidics portion of the course
and Nanotechnology to the First Year Students Through an Interactive Seminar Course,” J. Nano Educ., vol. 4, pp. 41-46, 2012. 2. Zheng W., Shih H. R., Lozano K., Pei J. S., Kiefer K., and Ma X., “A Practical Approach to Integrating Nanotechnology Education and Research into Civil Engineering Undergraduate Curriculum,” J. Nano. Educ., vol. 1, pp. 22-33, 2009. 3. Mehta B. R., “Nano Education at Indian Institutes of Technology: A Status Report,” J. Nano. Educ., vol. 1, pp. 106-108, 2009. 4. Certificate in Nanotechnology and Nanoscience, George Mason University [Available: http://cos.gmu.edu/academics/graduate/certificates/certificate-nanotechnology-and-nanoscience]. 5. Drexel University - BSc Materials Engineering with
Reports turned inW16 Peer ReviewsTable 1. Fall semester weekly progress planThis course is graded based on team performance with instructor’s ability to add bonus points(not to exceed 10 pts) to exceptional work by teams or any member(s) of the team(s) if warrantedas decided by the instructor. Team leaders are considered first as candidates for bonus points for Page 24.799.3themselves and their teams. Total points are calculated as presented in Table 2. : Brief Oral Progress Reports 20 pts Written Progress Report and Oral Presentations 30 pts Final Reports
Page 24.840.5 Table 1. A Horizontal Axis Fixed-Speed Practical Wind Turbine Parameters11 Number Of Blades 3 Rotor Diameter 22m Cut In Speed (Lowest Operating Speed of Turbine) 9.068 m/s Cut Off Speed (Highest Operating Speed of Turbine) 25m/s Atomic Density (Air Density Higher Density will result in wind 1.225 kg/m3 exerting more force on blade) Inertia time Constant 4s Gear Box Ratio (Shaft does not rotate with same
; Matsch, L. A. (1996). Desired attributes of an engineering graduate – An industry perspective, Proceedings of the 19th AIAA Advanced Measurement and Ground Testing Technology Conference, New Orleans, LA, 1996.3. Wisler, D. C. (2003). What you don’t necessarily learn in school, Mechanical Engineering Magazine Online, American Society of Mechanical Engineers, 2003.4. Nair, C. S., Patil, A., & Mertova, P. (2009). Re-Engineering Graduate Skills – A Case Study, European Journal of Engineering Education, 34(2), 131-139.5. Cox, M. F., Cekic, O., & Adams, S. G. (2010). Developing leadership skills of undergraduate engineering students: Perspectives from engineering faculty. Journal of STEM Education: Innovations and Research, 11(3
/2003/ millsJreagustO3.pdf[6]. Wyne, M., F2F and Virtual Students: Any Difference in eLearning?, in the proceedings of International Conference on Information Technology and e-Services (ICITeS'2011), April 10-12, Sousse, Tunisia, 2011.[7]. M. Campbel, J. Floyd, & J. Sheridan. Assessment of Student Performance and Attitudes for Courses Taught Online Versus Onsite. The Journal of Applied Business Research. , 18 (2), 45-51, 2002.[8]. G. Moore & G. Kearsley. Distance Education: A Systems View. Wadsworth Publishing Co, 1996.[9]. T. Herman & S. Banister. Face-to-Face versus Online Coursework: A Comparison of Costs and Learning Outcomes. Contemporary Issues in Technology and Teacher Education. , 7 (4), 318-326
namingpotential contradictions in our inherently messy world of cultural, social andorganizational complexity. While CHAT cannot develop universally correct solutions,by identifying common problems CHAT can mitigate some of the stress resulting fromambiguity and encourage a mutual exchange of strategies and techniques to rein in suchcomplexity. CHAT-based research may not solve managerial concerns outright but canprovide a foundation for dialogue and purposeful discussion of common concerns.References[1] ABET - Criteria for Accrediting Applied Science Programs, 2012 - 2013: 2011. http://abet.org/asac-criteria-2012-2013/. Accessed: 2011-12.[2] Albanese, M.A. and Mitchell, S. 1993. Problem-based Learning: A Review of Literature on Its
size of modules is considerably small for small type ofapplications, this is an advantage, for the projects have space limitations. There are manyresearch attempts to increase efficiency of the TEGs and determine potential applications. Withthe expected development of more efficient TEGs, the number of TEG based applications will beused in most energy projects in the future where low power is required.References[1] The Science of Thermoelectric Materials, “The Seebeck Effect”, Thermoelectric CaltechMaterials Science, Thermoelectrics. Retrieved on January 3, 2014 fromhttp://www.its.caltech.edu/~jsnyder/thermoelectrics/#top[2] G. Jeffrey Snyder and Eric S. Toberer "Complex Thermoelectric Materials" Nature Materials7, 105-114 (2008).[3] CRC
, and the ability to apply varyingsignal frequencies. National Instruments LabVIEW has been utilized to create the GUIs (Figure3) for the system and the individual devices. Table I. Class on a Chip Experiments Device(s) Experiment Principle Concepts TRA* + Gear What is Micro? Microscale measurements TRA* + Gear Gears Gear motion Chevron actuator Micro Motion I: Electrothermal Thermal expansion, microactuators actuators Linear electrostatic actuator Micro Motion II: Electrostatic actuator Coulomb forces TRA* + Gear
Conceptions of Design: Implications for the Design of Learning Environments In C.M. Eastman, W.M. McCracken & W. Newstetter (eds.), Design Learning and Knowing: Cognition in Design Education. New York: Elsevier Press.8. Atman, C. J., Kilgore, D., & McKenna, A. (2008). Characterizing Design Learning: A Mixed-Methods Study of Engineering Designers’ Use of Language. Journal of Engineering Education, 97(3), 309-326.9. Dubberly, H. Innovation Models, Prepared for the Institute for the Creative Process, Alberta College of Art and Design. http://www.dubberly.com. Accessed October 7, 2010.10. Mosborg, S, R Adams, R Kim, C Atman, J Turns & M Cardella (2005). Conceptions of the Engineering Design Process: An Expert Study of