learningoutcome into three components: reading comprehension [N/S LO2a], critical understanding [N/SLO2b], and informed judgment [N/S LO2c]. The blind evaluation used an aggregate figure [N/SLO2] for these three elements, which is compared against an average of the instructor’s threevalues at Times 1 and 3. This “critical understanding” learning outcome is the primary metric bywhich student performance was measured.In addition to course learning outcome evaluation, seven additional ASHE Education forSustainability (EfS) learning outcomes were assessed: 1) Each student will be able to define sustainability. [EfS LO1] 2) Each student will be able to explain how sustainability relates to their lives and their values, and how their actions impact
those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.We would also like to acknowledge all of the individuals who participated in the studiesassociated with this work. We would also like to acknowledge the people who supported thiswork with their time and help.References1. Stevens, R., O’Connor, K., Garrison, L., Jocuns, A., & Amos, D. M. 2008. Becoming an engineer: Toward a three dimensional view of engineering learning. Journal of Engineering Education, 97(3), 355–368.2. Johri, A. and Olds, B. M. (2011), Situated Engineering Learning: Bridging Engineering Education Research and the Learning Sciences. Journal of Engineering Education, 100: 151–185. doi: 10.1002/j.2168-9830.2011
Page 24.1144.3 1 Giersch, S., & McMartin, F. (2014). Promising Models and Practices to Support Change in Entrepreneurship Education. Epicenter TechnicalBrief 2. Stanford, CA and Hadley, MA: National Center for Engineering Pathways to Innovation. http://epicenter.stanford.edu/documents/1912.1 Selecting Resources through an Iterative Search and Review ProcessBbK team members employed an iterative search process using the web and reference databases(see Bibliography) from the library systems of New York University and the University ofCalifornia at Berkeley during June-July 2013. During the first phase of assessing the searchresults
] Gwinner, K. P., & Eaton, J. (1999). Building Brand Image throughmarketer, not only it needs to design good products but also Event Sponsorship: The Role of Image Transfer. Journal of Advertising,needs to create a good brand. It can lead a good profit. Brands 28(4), 47-57.are “the main lasting benefit of a company (Manzur, et al., [12] Henderson, P. W., Cote, J. A., Leong, S. M., & Schmitt, B. (2003).2002)”, outing that manufacturer’s and company’s particular Building strong brands in Asia: selecting the visual components ofgoods and services. Like the CEO of McDonald’s (Colucci, image to maximize brand
Education and Career Development Interdisciplinary Research Innovation Ecosystem 6Advanced Manufacturing Historically NSF has supported frontier research that has led to transformational advances in manufacturing Additive manufacturing grew out, in part, from basic research investments in the 70’s and 80’s MEMS enabled by fundamental research in late 80s (NSF & DARPA) Present research extends traditional advances and builds upon convergence of trans-disciplinary advances National Robotics Initiative (NRI): towards autonomous systems Cyber-Physical Systems (CPS
facilitate educational partnerships and accelerate technology transferUNCLASSIFIED UNCLASSIFIED ARL S&T Campaigns Human Sciences Steering and oversight of the systematic study to increase fundamental knowledge and understanding in physical, engineering, environmental
choices between 0.1 s and 1 min. The second and third live buttons control the unit and thetenth places respectively, of the time interval to be selected for the count. (If the time interval selected is50 units while the unit switch was selected to be 0.1 s, then the count will take place over (0.1 x 50 =) 5seconds.) There is also one digital display that can show either the current count or the time lapsedduring the count. The display can be toggled back and forth by clicking on a button below the digitaldisplay. The device works as it would in real life, so the student must understand how to use it.Procedures for the two virtual labs developed so far are very similar to the procedures student follow inthe physical lab. Physics models have also
Engineering and Applied Sciences medical engineering initiative. Page 24.411.2 c American Society for Engineering Education, 2014 Development and Implementation of the Industrial and Entrepreneurial Engineering Program at Western Michigan UniversityIntroductionThe industrial engineering (IE) degree was first offered at Western Michigan University in 1959.It was the only engineering program at the university until mechanical engineering and electricalengineering were added in the mid 1970’s. The IE program obtained EAC accreditation in 1979and has maintained
% 25.00% 20.00% 20.00% 15.00% 15.00% 10.00% 10.00% 5.00% 5.00% 0.00% 0.00% Novice (S=1
acquire different perspectives on a particulartopic such that users with different backgrounds and frameworks can find onethat particularly appeals to them.The project is supported by the National Science Foundation (NSF) TransformingUndergraduate Education in Science, Technology, Engineering and Mathematics(TUES). Page 24.240.5ReferencesAbulencia, J.P. Vigeant, M.A., and Silverstein, D.L., “Teaching ThermodynamicsThrough Video Media”, Proceedings of the 2013 ASEE National Conference,(2013)Chandra, S., “Lecture Video Capture for the Masses”, Proceedings of the 12thAnnual SIGCSE Conference on Innovation and Technology in Computer ScienceEducation, 39(3):276 (2007
Paper ID #8728Computing Tools in an Advanced Filter Theory CourseDr. S. Hossein Mousavinezhad, Idaho State University Dr. Mousavinezhad is an active member of IEEE and ASEE having chaired sessions in national and re- gional conferences. He is an ABET Program Evaluator (PEV.) He is the Founding General Chair of the IEEE International Electro Information Technology Conferences, www.eit-conference.org and served as 2002/2003 ASEE ECE Division Chair. He is a panelist for the National Science Foundation, has published a book in hand-held computing in 2013 and received an NSF grant (Enhancing Access to Radio Spec- trum
view of value, trade-offs, and optimization;3. Understanding system’s interactions and states (modes);4. Specifying system technical requirements;5. Creating and analyzing high level design;6. Assessing solution feasibility, consistency, and completeness;7. Performing system failure mode and risk analysis;8. Planning system families, platforms, and product lines;9. Understanding roles and interdependencies across the innovation process.Within the summer grand challenge program only a subset of these system competencies havebeen introduced.The framework for the system’s competencies aspect of the course included utilization of asystems engineering approach as described by the S*-metamodel (shown in Figure 1)[4]. Themodel based systems
residential load. Page 24.1045.15Bibliography 1. http://en.wikipedia.org/wiki/Renewable_energy 2. http://www.eia.gov 3. http://www.nrdc.org/energy/renewables/wind.asp 4. http://www.bnl.gov/GARS/SET/LISF.php 5. http://www.californiasolarstatistics.ca.gov/ 6. http://en.wikipedia.org/wiki/Solar_power_in_California 7. Smith, C; Sen, P; Kroposki, B; “Advancement of Energy Storage Devices and Applications in Electrical Power System.” Power and Energy Society General Meeting – Conversion and Delivery of Electrical Energy in the 21st century, 2008 IEEE. Publication Year: 2008, Page(s): 1-8. 8. Faruk,A
7. Bussey, K., & Bandura, A. (1999). Social cognitive theory of gender development and differentiation. Psychological Review, 106(4), 676-713. doi: 10.1037/0033-295X.106.4.6768. Chiaburu, D., & Marinova, S. (2005). What predicts skill transfer? An exploratory study of goal orientation, training self-efficacy and organizational supports. International Journal of Training and Development, 9(2), 110-123. doi: 10.1111/j.1468-2419.2005.00225.x9. Colquitt, J., LePine, J., & Noe, R. (2000). Toward an integrative theory of training motivation: A meta-analytic path analysis of 20 years of research. Journal of Applied Psychology, 85(5), 678-707. doi: 10.1037/0021- 9010.85.5.67810. Eagle, M. N. (2011). Theories of
: Envisioning a Research Discipline and a Domain of Practice. In Proceedings of the LAK ‘11 (Vancouver, Canada, April 29-May 02, 2012).[9] Haythornthwaite, C. 2011. Learning networks, crowds and communities. In Proceedings LAK ‘11, (Banff, Alberta, Canada, February 27 – March 01, 2011).[10] Suthers, D., Hoppe, H. U., Laat, M. and Simon Buckingham, S. (2012). Connecting levels and methods of analysis in networked learning communities. In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge, (Vancouver, British Columbia, Canada, April 29 – May 02, 2012). LAK '12. ACM, New York, NY, 11-13.[11] Ferguson, R. and Buckingham Shum, S. 2012. Social learning analytics: five approaches. In Proceedings
. M. (1987). Utilizing the literatures in teaching the research paper. TESOL Quarterly, 21(1), 41- 68. 2. Crocker, J., & Shaw, P. (2002). Research student and supervisor evaluation of intertextuality practices. Hermes Journal of Linguistics, 28, 39-58. 3. Chandrasoma, R., Thompson, C., & Pennycook, A. (2004). Beyond plagiarism: Transgressive and nontransgressive intertextuality Journal of Language, Identity, and Education, 3(3), 171-193. 4. Linder, S. (2007, March 28). Ohio University revokes master's degree: Student found guilty of plagiarism. Outlook: Ohio University News & Information. Retrieved from http://www.ohio.edu/outlook/06
isnasal blockage. Nasal blockage happens when the nasalmucosa starts to swell and this is a reaction to antigens. The II. RELATED WORKantigen challenge will increase vascular permeability dilate the A. Watershed Algorithm The watershed idea has been introduced in 1979 by S. M. Daneshzand is with the Department of Computer Science &Engineering, University of Bridgeport, CT, 06604, USA (e-mail: Beucher and C. Lantuéjoul and its concept in imagemdaneshz@my.bridegport.edu). processing deals with
magnetic field which can push a PNPN junction and flows through the coil. When current ismagnetized cylinder down a channel for launch. Research on flowing through the coil it generates a magnetic field aroundelectric catapult systems have been around since 1940’s includingsome done by the United States Navy however, because of the the piston that has an opposing magnetic charge of the coillimitations of energy storage at the time the project had been repelling it through the channel at very high speeds. Severalabandon. For this
. of elements increase the distribution approaches a uniform probability structure across the region. IV. PARAMETER E XPLORATION To analyze the dependence on the initial random distribu- One of the key parameters that determines the radiation tion, the simulation is run for N EN S = 10 ensembles withpattern is the number of elements within the array. As M
manipulators with full manipulator dexterity at the given task S. Patel is with the Department of Computer Science and Engineering,University of Bridgeport, Bridgeport, CT 06605 USA (e-mail: region or trajectory is proposed. Ting introduced the five-linksaroshp@bridgeport.edu). Grashof criterion [6] and extended it to N-link chains [7], [8]. T. Sobh is with the Department of Computer Science and Engineering,University of Bridgeport, Bridgeport, CT 06605 USA (e-mail:sobh@bridgeport.edu).978-1-4799-5233-5/14/$31.00 ©2014 IEEE B. Parametric Optimization Approach III. PROBLEM STATEMENT Parametric optimization is a
standing quarter mile in 13.8 s at 82.3 mph (1). Currently, the cost per gallon of gasoline is $3.29. Using this cost with the efficiency of the gasoline engine produces a cost of $0.07/mile. During the Where x is the number of miles traveled by the bike. combustion of a single gallon of gasoline 8887 grams Then, on the other hand, the cost for the gasoline bike of CO2 are emitted to the atmosphere. This means if is $0.07 per mile. So, the cost for the gas bike is: the bike was to travel 100 miles it would use 1.92 gallons
Theory COMSOL Theory COMSOL % Difference % Difference (cm/s) (cm/s) (Pa) (Pa)Artery 30.0 30.1 0.333 1.080 1.084 0.370Arteriole 0.780 0.782 0.256 1.080 1.082 0.185Capillary 0.096 0.096 0.000 1.080 1.080 0.000For each result presented in Table I, COMSOL Multiphysics mesh refinement was set to‘Normal’. (The students are taught the necessity of a mesh refinement, but due to
project 1 (from 0 to 100%)?4. What was the percentage of team member 2's contribution to project 1 (from 0 to 100%)?5. What was the percentage of team member 3's contribution to project 1 (from 0 to 100%)?The last three questions of the project participation questionnaire allowed not only to include astudent’s level of participation as he/she perceived and reported it, but also to take intoconsideration the other two team members’ perception of that student’s participation level intheir team. This unique approach to assessment of participation level in teamwork was useful forthe analysis of the relationship between participation level in teamwork and academicperformance.AnalysisFor each student the average of their participation level for each
with this list that it comes from their memory: T, P, v, u, h, and s. The listcan expand with additional properties, but this is often a sufficient list for many problems. Theinstructor then asks students to evaluate each property to see if it is known or unknown. Maybethe property is clearly given in the problem statement, or it may be determinable from theinformation given in the problem statement. Students are encouraged to find two properties thatare either known or determinable. Again, students appear lost when T and P aren’t thedeterminable properties. In some problems, T and v may be the determinable properties, thenthis leads to a sequence of steps to determine how to evaluate other properties such as P, given Tand v. In many cases
professor in the Agricultural and Biosystems Engineering Department. He co- ordinates the occupational safety option of the industrial technology degree program and the occupational safety certificate program for the department. His research interests are in agricultural and workplace safety and the scholarship of teaching and learning associated with safety, engineering, and technology curricula.Prof. Mack Shelley, Iowa State University Mack Shelley is a Full Professor with joint appointment in the Departments of Statistics and Political Science. He holds the title of University Professor [”The University Professorship recognizes faculty members who have had a significant impact on their department(s) and the university
). Come up with questions for interviewing the engineers (Sept 17). Progress check of Engineering Overview task (Sept 19). Interview at least 2 engineers for their opinion on what engineering is and the topic Attach interview questions and their opinion(s). Provide proof that you have interviewed them. You can interview by meeting the person, virtual discussion (e.g Skype) or by phone. Create a video for one of the interviews. The video will be uploaded in UTMotion. Please get the permission of the engineer that you are interviewing if he or she agrees to have the video in UTMotion. Gather the points and make a power point presentation (presentation on Sept 24
completeprogram, as shown in Program 1, is written which moves the robot forward.#include CLinkbotI r o b o t ;double d i s t a n c e = 5 , r a d i u s = 1 . 7 5 ;robot . connect ( ) ;r o b o t . moveDistance ( d i s t a n c e , r a d i u s ) ; Program 1: Single robot control code.Only five lines of code are necessary to connect to the robot and move it forward. The firstline is C++ syntax to allow the code to know about all of the functions available to controlthe robot. The second line creates the robot within the code so that the functions can Page 24.1058.10interact with the correct robot. Variables are created to store
contains student record data from 1988 through 2010 for 11 MIDFIELD partnerschools, though not all schools provided data in all years. Using the most current MIDFIELDdata (which includes more recent data than reported in Ohland et al.’s paper), we find that amongthose who graduated in engineering, more than 10% began in a non-engineering discipline. Ofthe over 7000 people who graduated in engineering but began in some other discipline, almost40% came from other science and math disciplines, which is unsurprising since many of theprerequisite courses in those disciplines are the same as for engineering, making the transition Page 24.1186.2easier with
8 2.517Finelli, Cynthia J University of Michigan Center 5 1.736Sheppard, Sheri D Stanford University Center 4 1.736Borrego, Maura J Virginia Tech Department 10 1.563Chen, Helen L Stanford University Center 3 1.215Diefes-Dux, Heidi A Purdue University Department 5 1.215Long, Russell A Purdue University Department 3 1.215Carpenter, Donald D Lawrence University None 3 1.128Harding, Trevor S Calif Polytech State Univ None 3
Page 24.839.8 Swassing. Educational Leadership, p. 381-382.2. Butterfield, R. (1997), Benefit Without Cost in a Mechanics Laboratory. Journal of Engineering Education, 86: 315–320. doi: 10.1002/j.2168-9830.1997.tb00304.x.3. Bloom, B. S., & Krathwohl, D. R. (1956). Taxonomy of Educational Objectives. Handbook I: The Cognitive Domain. New York, NY, U.S.A., David McKay Co. Inc.4. J Güémez et al (2009) Toys in physics lectures and demonstrations—a brief review Phys. Educ. 44 535. Featonby, D. (2005) Toys and Physics. Phys. Educ. 40 537.6. Wagner, G (2009) A Circular Motion Activity with Hot Wheels® Rev-Ups Phys. Teach. 47, 11.7. Wang, E. L., LaCombe, J., & Rogers, C. (2004). Using LEGO® Bricks to Conduct Engineering