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Displaying results 961 - 990 of 1774 in total
Conference Session
NSF Grantees’ Poster Session
Collection
2014 ASEE Annual Conference & Exposition
Authors
Seda Yilmaz, Iowa State University; Kathryn Jablokow, Pennsylvania State University; Shanna R. Daly, University of Michigan; Eli M. Silk, University of Michigan; Meisha Nicole Berg, Iowa State University
Tagged Topics
NSF Grantees Poster Session
Tagged Divisions
Division Experimentation & Lab-Oriented Studies
thinking hats: Back Bay Books, 1999.[37] B. Eberle, Scamper. Waco, Texas: Prufrock, 1995.[38] G. Altshuller, Creativity as an exact science. New York, NY: Gordon and Breach, 1984.[39] S. Yilmaz, S. R. Daly, J. L. Christian, C. M. Seifert, and R. Gonzalez, "Can experienced designers learn from new tools? A case study of idea generation in a professional engineering team (to appear)," Journal of Design Creativity and Innovation, 2013.[40] S. Yilmaz, C. M. Seifert, and R. Gonzalez, "Cognitive heuristics in design: Instructional strategies to increase creativity in idea generation," Journal of Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol. 24, pp. 335-355, 2010.[41] S. Yilmaz, S. R
Conference Session
Discipline Specific Topics and Techniques
Collection
2014 ASEE Annual Conference & Exposition
Authors
Mandy Wheadon, Purdue University; Nathalie Duval-Couetil, Purdue University, West Lafayette
Tagged Divisions
Graduate Studies
course of their graduate programs. Bibliography1. Murray, B. The growth of the new PhD. Monit. Psychol. 31, 24–27 (2000).2. Shea, A. A. It’s time for graduate science programs to get real. Chron. High. Educ. 59, 31 (2013). Page 24.1124.133. Creed, C., Suuberg, E. & Crawford, G. Engineering entrepreneurship: An example of a paradigm shift in engineering education. J. Eng. Educ. 91, 185–195 (2002).4. Roseth, R. Stakeholders in higher education re-think the Ph . D . Northwest Sci. Technol. Autumn 200, 47 (2000).5. Wulff, D. H. et al. National surveys and
Conference Session
Software Engineering Constituent Committee Division Technical Session 1
Collection
2014 ASEE Annual Conference & Exposition
Authors
Tanmay Bhowmik, Mississippi State University; Nan Niu, Mississippi State University; Donna Reese, Mississippi State University
Tagged Divisions
Software Engineering Constituent Committee
students and the professionals. The metric used here is the F2 measure commonlyadopted in traceability research.5, 8, 11 Formally, let A be the answer set of correct traceabilitylinks and B be the set of links submitted by the human. Then, recall is R = (|AB|)/(|A|),and precision is P = (|AB|)/(|B|). F2 represents a harmonic mean of R and P and is de-fined as F2 = (5 · R · P )/(4 · P + R). Note that the F2 measure weights recall (R) twice asmuch as precision (P ). This is because in automated tracing, it is easier to remove incorrectlinks than to find missing links.11To answer RQ2, we perform qualitative analysis by collecting a hybrid of data. Our main datasources are observations and notes taken during all the tracing sessions, coding and
Conference Session
Programming, Simulation, and Dynamic Modeling
Collection
2014 ASEE Annual Conference & Exposition
Authors
Shanon Marie Reckinger, Fairfield University; Scott James Reckinger, Brown University
Tagged Divisions
Mechanical Engineering
, debugging, and software training. Acourse in programming can be challenging for many students choosing to major in mechanicalengineering. The major attracts students with diverse backgrounds and a wide variety ofacademic interests. It is uncommon for students to choose to study mechanical engineeringbecause of their interest in programming or modeling. This often leads to a disconnect betweenthe students and the instructor, which can create an intimidating classroom environment. Thework presented here is driven by these findings.A new programming course has been developed to address the problems existing in the originalcourse model, which include: (a) the course being offered outside of an engineering department,(b) the extreme variability in the
Collection
2014 ASEE Zone 1 Conference
Authors
Franco Capaldi
. As such, this system provides an infinitely explorable B. Mastery Learninglearning environment or an environment where studentinteraction is not predetermined by the instructor but can A previous study conducted at Merrimack College [11]consist of any relevant subject material which the system can showed that students using the SGS system performed betterrecognize. on coursework than those who did not. Two sections taught by Teaching students to be creative problem solvers is difficult. the same instructor were split into a control and treatmentIn many engineering courses, students learn
Collection
2014 ASEE Zone 4 Conference
Authors
Gordon Romney; Pradip Dey; Mohammad Amin; Bhaskar Sinha
author, Romney, experimented with the capacity ofstudents to assimilate new and challenging technical skills by gradually taking the students froman introduction to virtualization on a local computer (laptop or desktop) to using 90-day free CSPIaaS resources to host a remote virtual machine for the month-long project. Table 3, “Progressionof Instructional Types” showsthe progression by the four instructional topics of the sampling ofprojects that was made possible by the emergence and availability of public IaaS resources. Theprogression was from (1) local virtualization to (2) remote virtualization on (a) public cloud or(b) private cloud (NU’s VEL)11 to (3) relational database normalization. The results wereoverwhelmingly validated by the
Conference Session
Research in Biomedical Pedagogy
Collection
2014 ASEE Annual Conference & Exposition
Authors
Jennifer Rae Papich; Christian James Kennett, Gannon University; Davide Piovesan, Gannon University
Tagged Divisions
Biomedical
walls. External markers of differentcolors are placed on bony landmarks to track their movement. In this experiment fluorescentmarkers are positioned of the styloid process of the radius, the epicondyle of the humerus, thehead of the humerus, the acromion process and the scapular spine to track the position of wrist,elbow, shoulder, and scapular motion associated with eating (Figure 1-2). Depending on themodel complexity chosen to analyze the data, not all of the markers will be used in the dataprocessing phase. Figure 1: View from Camera A (Right) and Camera B (Left) – Starting Position Page 24.956.3 Figure 2: View
Conference Session
Software Engineering Constituent Committee Division Technical Session 2
Collection
2014 ASEE Annual Conference & Exposition
Authors
Janusz Zalewski, Florida Gulf Coast University; Fernando Garcia Gonzalez, Florida Gulf Coast University
Tagged Divisions
Software Engineering Constituent Committee
): for example temperature human and robotics s(t) = s0 + v*t + a*t2/2 regulation in mammals. movements. How to use the software Using feedback theory Use of simulators to(Eductional) solution and for what in Instructional Design. teach about kinematicsTechnology reasons? of robotic movement. Programming solution: Thermostat as a Software development(Software) r1 = (–b+sqrt(Δ)) / (2*a) temperature controller for robot movementEngineering r1 = (–b–sqrt(Δ)) / (2*a) based on feedback
Collection
2014 ASEE Zone 1 Conference
Authors
Carli D. Flynn; Cliff I. Davidson; Sharon Dotger
closely mirrored this survey question. This student misconceptions about rate and accumulation processes.suggests that students continued to struggle with the graphing Three sections of conceptual understanding were developed inof a water flow rate even after course instruction. the inventory: (1) first order calculus, (2) mass flow, in particular water flow, and (3) heat transfer.Groundwater Flow and Green Roof Water Flow Activities Results from the analysis of the transcriptions of student B. Designwork indicated that the groundwater flow activity failed to All questions developed for this inventory were posed inelicit in-depth
Collection
2014 ASEE Zone 1 Conference
Authors
May Alzawawi
world management, vol. 38, pp. 360-387, 2008.we are living in. integrating sustainability in the business world is [12] B. Foran, M. Lenzen, C. Dey, and M. Bilek, "Integratingespecially crucial because it is key for saving our lives and the lives sustainable chain management with triple bottom lineof the people who follow us. Going green is a very hot topic accounting," Ecological Economics, vol. 52, pp. 143-157,nowadays and many people are getting concerned about the 2005.deteriorating environment. Environmental change is a big problem [13] Z. Wang and J. Sarkis, "Investigating the relationship ofthat has its own solutions within each one of us
Conference Session
College Industry Partnerships Division Technical Session 1
Collection
2014 ASEE Annual Conference & Exposition
Authors
Charles E. Baukal Jr. P.E., John Zink Hamworthy Combustion; Andrew Walter; Bethany Dickie
Tagged Divisions
College Industry Partnerships
and can beused over the Internet. This allows students to electronically tune a process heater without fear ofcausing an incident or impairing production, which would be concerns for inexperiencedstudents attempting to tune an actual operating heater. In order to provide an additional learningtool, a small-scale physical process heater simulator was envisioned. Page 24.287.3      (a) (b) Figure 1. Vertical cylindrical process heater: (a) photograph and (b) drawing.The capstone
Conference Session
Industrial Engineering Division Technical Session 1
Collection
2014 ASEE Annual Conference & Exposition
Authors
Paul C. Lynch, Pennsylvania State University, University Park, PA; Cynthia Bober, Penn State University; Jennifer Louise Mines, The Pennsylvania State University
Tagged Divisions
Industrial Engineering
. Page 24.379.4Table 3: Student Survey Questions for Modes of Instruction. Relevant Modes of Instruction Survey Questions 1. Of the junior level Industrial Engineering Classes listed on the previous page please select one that you found extremely satisfying: ________________________ 2. What were the primary modes of instruction in this class? Please circle all that apply. A. Blackboard Lecture B. PowerPoint Lecture C. Problem solving sessions D
Conference Session
Construction Materials and Technologies
Collection
2014 ASEE Annual Conference & Exposition
Authors
Neil D. Opfer, University of Nevada, Las Vegas; David R. Shields P.E., University of Nevada, Las Vegas
Tagged Divisions
Construction
government experience in construction, engineering, and research and eight years of academic experience. He was Co-Chair of the ASCE Civil Engineering in the Oceans V conference. He was the only manager in the 55-year history of the Naval Civil Engineering Laboratory ever to win the Employee-of-the-Year Award. He has won numerous awards for project management. He has conducted research for the Construction Industry Institute, Center for Construction Industry Studies, U.S. Navy, U.S. Army, OSHA and other organizations. He has published 45 journal and conference pa- pers. He holds a Ph.D. in Civil Engineering from the University of Texas at Austin and the M.S. and B.S. in Ocean Engineering from Texas A&M University
Conference Session
FPD 8: Teaching Design in the First Year
Collection
2014 ASEE Annual Conference & Exposition
Authors
Ann Saterbak, Rice University; Tracy Volz, Rice University
Tagged Divisions
First-Year Programs
engineering design process and use it tosolve meaningful problems drawn from local hospitals, industry, local community partners, RiceUniversity, and international partners.The objectives for the course are to (a) have students learn and practice the engineering designprocess early in their engineering education, and (b) increase undergraduate retention inengineering at Rice University by 10 percentage points. These two objectives align withimportant themes and goals published elsewhere. For this first-year design course, three specificlearning outcomes have been defined: students design a product that meets user-defined needsand realistic constraints; students communicate effectively through written reports andoral/visual presentations; and students
Conference Session
NSF Grantees’ Poster Session
Collection
2014 ASEE Annual Conference & Exposition
Authors
Michael G. Mauk, Drexel University; Richard Chiou, Drexel University (Eng. & Eng. Tech.); M. Eric Carr, Drexel University; Justin Bryan Gillander; Joshua C. Newton; Kelly R. Reid
Tagged Topics
NSF Grantees Poster Session
Tagged Divisions
Division Experimentation & Lab-Oriented Studies
quantification of diseases much quicker,cheaper, and more effective. The incorporation of a smart phone into the device would make sendingdata about the spread of disease much quicker. This would lead to the increase in ability to track apathogen and take steps to contain outbreaks before they spread to a large proportion of a population.A device such as this has the potential to substantially change how infectious diseases are screened,diagnosed and treated in the developing world. Page 24.987.10 9ReferencesGuoliang Huanga, B. ,. (2010
Collection
2014 ASEE Zone 1 Conference
Authors
Muneer Alshowkan; Khaled Elleithy
) After the measurement of this multi qubit state, the resultwill be similar to a system with only one qubit, as theprobability of having one of the four states is can be donatedby | | . B. Quantum gates Fig. 1. Quantum Teleportation Circuit Classical systems depends on the wires and the logic gatesin the digital circuits to carry and manipulate the information. After applying the required operations Alice qubits will beFor instance, the NOT gate in classical system perform a result to one of the four states |00 , |01 , |10 |11 whichspecific operation which is manipulating the stats 0 and 1 by will indicate the state of Bob’s qubit as
Conference Session
Innovative Use of Technology and the Internet in Engineering Education
Collection
2014 ASEE Annual Conference & Exposition
Authors
Paul S. Steif, Carnegie Mellon University; Luoting Fu; Levent Burak Kara, Carnegie Mellon University
Tagged Divisions
Educational Research and Methods
knowledge-based expert system for tutoring in structural engineering, Computers & Structures, Volume 30, Issue 3, 1988, Pages 767-773 12. Ana Lilia Laureano-Cruces and Fernando De Arriaga-Gomez, Multi-Agent Architecture for Intelligent Tutoring Systems, Interactive Learning Environments, Volume 6, Issue 3 December 1998 , 225 - 250 13. Ana Lilia Laureano Cruces and Fernando De Arriaga, REACTIVE AGENT DESIGN FOR INTELLIGENT TUTORING SYSTEMS, Cybernetics and Systems, Volume 31, Issue 1 January 2000, 1 – 47 14. Anderson, J. R., Boyle, C. F., & Reiser, B. J. (1985). Intelligent tutoring systems. Science, 228, 456-468. 15. Newell, A., & Simon, H. A. (1972). Human Problem Solving. Englewood Cliffs, NJ
Conference Session
NSF Grantees’ Poster Session
Collection
2014 ASEE Annual Conference & Exposition
Authors
Hong Huang, Wright State University; Steven R. Higgins, Department of Chemistry, Wright State University; Aaron Joseph Blake, Wright State University, Department of Mechanical and Materials Engineering; Jason Allen Deibel, Wright State University; Ioana Sizemore, Wright State University, Department of Chemistry
Tagged Topics
NSF Grantees Poster Session
Tagged Divisions
Division Experimentation & Lab-Oriented Studies
is significantly better than graphite, rendering its potential high power densitywhen it is applied in Li-ion batteries. Figure 1. Qualitative changes observed during the fabrication of GNSs: (1) purple suspension after harsh oxidation with KMnO4, (2) yellow suspension after the addition of H2O2, (3) light brown suspension indicative of formation of graphite oxide, and (4) black suspension indicative of formation of GNSs. graphite GNSs(a) (b) Figure 2. (a) XRD profiles and (b) SEM images of graphite and GNSs powders showing their distinguished structure and morphology.(a) (b
Collection
2014 ASEE Zone 1 Conference
Authors
James Accuosti
.instructional media to better assess what amenities were at her [6] D. Hamilton, E. Dahlgren, A. Hult, B. Roos and T. Söderström, "Whendisposal [41] and some types of instructors find they revamp Performance Is the Product: Problems in the Analysis of Online Distance Education," British Educational Research Journal, vol. 30, pp.their curriculum based on what technology tools are available. 841-854, 2004.One teacher of Literature explains how she postponed reading [7] E. T. Straub, "Understanding Technology Adoption: Theory and Futurefurther works to spend more time discussing draft papers and Directions for
Conference Session
Issues in ET Education II
Collection
2014 ASEE Annual Conference & Exposition
Authors
M. Austin Creasy, Purdue University (Statewide Technology)
Tagged Divisions
Engineering Technology
this differential equation. The students now understand how time is involved inthe oscillations of the system and how the system constants are associated with that time. Thisprocedure also leads well into introducing damping forces and forcing functions in the system.Figure 3. a) Spring and mass system on frictionless rollers and b) free body diagram of thehorizontal forces acting on the mass.Students can also be introduced to numerical methods for solving these systems. Multiple textsintroduce Matlab7, 10 as a tool to solve the position as a function of time for these problems.Matlab is a good tool that can be used to introduce students to numerically solving differentialequations. There are multiple types of solvers inherent within the
Conference Session
Industry Collaboration in Construction Education
Collection
2014 ASEE Annual Conference & Exposition
Authors
Dan Koo, Indiana University Purdue University, Indianapolis; J. William White AIA, Indiana University Purdue University, Indianapolis; Veto Matthew Ray, Indiana University Purdue University, Indianapolis
Tagged Divisions
Construction
Salter, A. (2010), “Investigating the factors that diminish the barriers to university- industry collaboration. Research Policy”, 39, 858–868.3. Perkmann, M., Neely, A., and Walsh, K. (2011). “How should firms evaluate success in university–industry alliances? A performance measurement system”, Vol. 41, Issue 2, pages 202–216.4. Green, C., Vargas-Lamanna, O.L, Hashemi, B, and Iseley, D. T (2010), “An Innovative New Product Review Process for Moving Trenchless Technology into the User Community”, Proceeding for Nodig 2010, North American Society of Trenchless Technology (NASTT), Chicago, Illinois, May 2-7 2010.5. Iqbal, Abeda Muhammad, Khan, Adnan Shahid, Iqbal, Saima, Senin, Aslan Amat. (2011), “Designing of Success
Conference Session
Design, Creativity and Critical Thinking in the Chemical Engineering Curriculum
Collection
2014 ASEE Annual Conference & Exposition
Authors
Kathryn F. Trenshaw, University of Illinois, Urbana-Champaign; Troy J. Vogel, University of Illinois, Urbana-Champaign
Tagged Divisions
Chemical Engineering
Male ESTJ Mary A Female ESFP Patricia A Female INTJ John A Male INTP Robert B Male ESTJ Elizabeth B Female ESTJ Jennifer B Female ESTP Michael B Male ISTP William C Male ESTJ David C Male ESTP Richard C Male ENFJ Joseph C Male ENFP Charles D Male ESTJ Thomas D Male ESTJ Christopher D Male ISTP
Conference Session
Integrating Engineering & Liberal Education
Collection
2014 ASEE Annual Conference & Exposition
Authors
Brent K. Jesiek, Purdue University, West Lafayette
Tagged Divisions
Liberal Education/Engineering & Society
previous drafts ofthis paper.References1 Prados, J. W., Peterson, G. D., and Lattuca, L. R. Quality Assurance of Engineering Education through Accreditation: The Impact of Engineering Criteria 2000 and Its Global Influence. Journal of Engineering Education. 2005. 94(1): 165-184.2 Cech, E., and Sherick, H. Depoliticization and the Structure of Engineering Education. In S. H. Christensen, C. Didier, A. Jamison, M. Meganck, C. Mitcham, and B. Newberry (Eds.), International Perspectives on Engineering Education: Engineering Education and Practice in Context, Volume I. Springer Science + Business Media B.V., Dordrecht, The Netherlands, Forthcoming.3 Faulkner, W. Dualisms, Hierarchies and Gender in Engineering. Social Studies of
Collection
2014 ASEE Zone 1 Conference
Authors
Gary P. Halada; Nancy McCoy Wozniak
particular, employers found that interns ranked best in ability to function on multidisciplinary teams and in(a) an ability to apply knowledge of their recognition for and an ability to engage in life-long 1.5 (0.16)mathematics, science, and engineering learning. Indeed, students’ self identification as life-long learners as a result of their experiential learning internships indicates that a key goal of engineering education has been(b) an ability to design and
Conference Session
WIED: Curricular Undergraduate Student Programs
Collection
2014 ASEE Annual Conference & Exposition
Authors
Tonya Lynn Nilsson P.E., Santa Clara University
Tagged Divisions
Women in Engineering
with a question of a similar level of difficulty istested. During the Winter and Spring quarters of 2013, two examination period options wereprovided to the students although there was Table 2: Number of students who sat in each exam session.only one section each quarter, which meanttwo different exams were used both quarters. Count ofThe results of these two examination periods Students Total Female Maleare denoted with an ‘a’ or ‘b’ in the results, Sitting for thee.g. W2013-a and W2013-b. Exam W2011
Conference Session
Innovative Pedagogy and Assessment in Civil Engineering Education
Collection
2014 ASEE Annual Conference & Exposition
Authors
Matthew W Roberts, University of Wisconsin, Platteville; Carol Haden, Magnolia Consulting, LLC; Michael K Thompson, University of Wisconsin, Platteville; Philip J. Parker P.E., University of Wisconsin, Platteville
Tagged Divisions
Civil Engineering
existing knowledge schema.8 They can be used by students as a study tool, andby instructors for enhancing teaching, facilitating curriculum planning, and as an assessment ofstudent learning.9Concept maps are typically created through a series of steps.6 These include (a) defining the top-ic or focus question; (b) identifying the key concepts that apply to this domain; (c) ordering con-cepts from general to specific; (d) drawing links between concepts; (d) creating phrases that de-scribe the link; and (e) cross-linking concepts in different segments or domains of knowledge onthe map. When used for assessment, they can be scored quantitatively through techniques in-volving counting of concepts, links and propositions and qualitatively based on the
Conference Session
Materials Division Technical Session 2
Collection
2014 ASEE Annual Conference & Exposition
Authors
Sean Maass, Arizona State University; Stephen J Krause, Arizona State University
Tagged Divisions
Materials
beinferred that there was a misconception; that the meaning of supersaturation is that there isexcess solid present as a separate phase in the beaker.Another study by Pinarbasi and Canpolati10 examined students understanding of the termsunsaturated, saturated, and supersaturated. Three schematic diagrams of beakers with waterwere shown to students from which students had to match the appropriate word with thediagram. The unsaturated solution had a low density of dots (sugar molecules dissolved in water)in the beaker (C). The saturated solution had a higher density of dots and also had a smallmound of saturated sugar sitting at the bottom of the beaker (B). The supersaturated solution hadthe highest density of dots but there was no saturated sugar
Conference Session
Methodological & Theoretical Contributions to Engineering Education 3
Collection
2014 ASEE Annual Conference & Exposition
Authors
Micah Lande, Arizona State University, Polytechnic campus; Shawn S. Jordan, Arizona State University, Polytechnic campus
Tagged Divisions
Educational Research and Methods
Education, 101 (2), 220-243.22. Geertz, C. (1973). The interpretation of cultures: Selected essays. New York: Basic Books.23. Clark-Ibanez, M. (2004). Framing the social world with photo elicitation interviews. American Behavioral Scientist, 47(12), 1507-1527.24. Harper, D. (2002). Talking about pictures: A case for photo elicitation. Visual Studies, 17(1), 13-26.25. Harrison, B. (2002). Photographic visions and narrative inquiry. Narrative Inquiry 12 (1), 87-111.26. Prosser, J. (1998). Imaged-based research. London: Falmer Press.27. Jordan, S., Adams, R., Pawley, A., & Radcliffe, D. (2009). Work in progress: The affordances of photo elicitation as a research and pedagogical method. Proceedings of the Frontiers in Education (FIE
Conference Session
NSF Grantees’ Poster Session
Collection
2014 ASEE Annual Conference & Exposition
Authors
Seda Yilmaz, Iowa State University; Shanna R. Daly, University of Michigan; Colleen M. Seifert, University of Michigan
Tagged Topics
NSF Grantees Poster Session
Tagged Divisions
Division Experimentation & Lab-Oriented Studies
Design Education (EPDE), Trondheim, Norway, 2010.[49] P. Laughlin, "Groups perform better than the best individuals on Letters-to-Numbers problems* 1," Organizational Behavior and Human Decision Processes, vol. 88, pp. 605-620, 2002.[50] P. B. Paulus, M. T. Dzindolet, G. Poletes, and L. M. Camacho, "Perception of performance in group brainstorming: The illusion of group productivity," Personality & social psychology bulletin, vol. 19, pp. 78-89, 1993.[51] B. Collins and H. Guetzkow, A social psychology of group problem solving. New York: John Wiley and Sons, Inc., 1964.[52] J. S. Linsey, E. F. Clauss, T. Kurtoglu, J. T. Murphy, K. L. Wood, and A. B. Markman, "An experimental study of group idea
Conference Session
Teaching Mechanics of Materials
Collection
2014 ASEE Annual Conference & Exposition
Authors
William E. Howard, East Carolina University; Odis Hayden Griffin Jr. P.E., East Carolina University; Ihab Ragai, East Carolina University
Tagged Divisions
Mechanics
only a few beam elements are necessary to produceaccurate results.Non-Linear Analysis Introduction: As an introduction to non-linear analysis, we present aproblem from statics – a weight supported by two cables, as shown in Figure 4. Figure 4 Introductory Problem for Non-Linear AnalysisWe remind the students that when a member is subjected to an axial load, then its length willchange. Therefore, the geometry shown applies to either the geometry before the load is applied,or to the final geometry after the load is applied. If we assume that the geometry applies beforethe load is applied, then we can calculate the load in each wire (84.9 and 72.1 pounds for cablesA and B, respectively), and then the amount that each wire