Conference Session

Multidisciplinary Technical Session

Collection

2011 ASEE Annual Conference & Exposition

Authors

Kristen Osterwood, University of Pittsburgh; Amy E. Landis, University of Pittsburgh; Jason Douglas Monnell, University of Pittsburgh; Chris Koch, GTECH Strategies; Maureen Copeland, GTECH Strategies

Tagged Divisions

Multidisciplinary Engineering

multiple scales (involving communities, high schools, collegestudents, and professors) as well as integrate research into service projects with the aim ofincreasing community awareness of research and higher education. Based on findings fromevaluating our collaboration and student participation, we discuss a model of service-research forgraduate programs.Overview of research projectBiofuels are currently derived from corn and soybeans in the US to make ethanol and biodiesel,respectively. While energy and greenhouse gas savings are realized, several significant tradeoffshave arisen including a) increase in food prices and b) a shift in environmental burden to impactsmanifesting as eutrophication and hypoxia (i.e. the Dead Zone in the Gulf of Mexico

Conference Session

NSF Grantees Poster Session

Collection

2011 ASEE Annual Conference & Exposition

Authors

Kirsten A. Davis, Boise State University; Sondra M Miller, Boise State University; Ross A. Perkins, Boise State University

Tagged Topics

NSF Grantees

; • Identify characteristics of: o successful engineering education innovation adopters; o work environments that promote and those that impede successful implementation of engineering education innovations by individual faculty members; and • Develop an implementation model that promotes successful faculty characteristics and work environments.Specific tasks, discussed in further detail in the Plan of Work, must be performed in order toachieve these research objectives, including: • Assess, document, benchmark, and validate: a) characteristics of individuals who adopt (or choose not to adopt) engineering education innovations and b) their respective work environment; • Analyze faculty

Conference Session

Emerging Information Technologies

Collection

2011 ASEE Annual Conference & Exposition

Authors

Barbara E. Brazon, Penn State University; Mary Lynn Brannon, Pennsylvania State University, University Park

Tagged Divisions

Computing & Information Technology

potential end userswho are the clients‟ representatives.Assessment of Team Project EffectivenessBoth formative and summative assessment techniques were utilized to assess the effectiveness ofthe project. Formative assessment included the bi-weekly managerial report see Appendix A ,managerial and team members‟ performance evaluations see Appendix B and C, timelines andgroup member‟s logs see Appendix D. In addition the instructor conducted interviews with thestudents on their perceptions of learning, collected by student performance and managerialreports and a Lessons Learned report. These instruments were used to obtain feedback on theteam project. Summative assessment focused on the grading of the final project including allsupporting materials of

Conference Session

Myths About Gender and Race

Collection

2011 ASEE Annual Conference & Exposition

Authors

Deborah Kilgore, University of Washington; Sheri Sheppard, Stanford University; Cynthia J. Atman, University of Washington; Debbie Chachra, Franklin W. Olin College of Engineering

Tagged Divisions

Liberal Education/Engineering & Society, Minorities in Engineering, Women in Engineering

and public policy from Carnegie Mellon University and joined the UW in 1998 after seven years on the faculty at the University of Pittsburgh. Her research focuses on engineering design learning and students as emerging engineering professionals. She is a fellow of AAAS and ASEE, was the 2002 recipient of the ASEE Chester F. Carl- son Award for Innovation in Engineering Education, and received the 2009 David B. Thorud Leadership Award, which is given to a UW faculty or staff for demonstrating leadership, innovation, and teamwork.Debbie Chachra, Franklin W. Olin College of Engineering Debbie Chachra is an Associate Professor of Materials Science at Olin College, where she has been in- volved in the development and

Conference Session

Computers and Software in Teaching Mathmatics

Collection

2011 ASEE Annual Conference & Exposition

Authors

Lin Li, Prairie View A&M University; Yonggao Yang, Prairie View A&M University

Tagged Divisions

Mathematics

. To speedthe courseware developing, we adopted 3DIVA Virtools software which provides a developmentplatform for quickly constructing virtual classroom and creating 3D virtual reality applications.2. Learning Module DevelopmentAll our learning modules are created based on real life or engineering problems. Generally, eachmodule consists of two components: (a) lecturing/tutoring; (b) exercise and quiz. Thelecturing/tutoring part is implemented as a virtual scene, in which the math topic is illustrated oranimated in 3D graphics. Audio is integrated to emulate tutor explanation. Students can interact Page 22.612.4with the objects in the virtual

Conference Session

Open-Ended Problems and Student Learning

Collection

2011 ASEE Annual Conference & Exposition

Authors

Amanda S. Fry, Purdue University; Monica E. Cardella, Purdue University, West Lafayette; Heidi A. Diefes-Dux, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

, these must be justified. At a minimum, the mathematical model should include assumptions about the situation and the types of data to which the procedure can be applied. This would be accomplished by more thoroughly completing the following memo outline requirements: I. Introduction A. In your own words, restate the task that was assigned to your team (~1-2 sentences). This is your team’s consensus on who the client is and what solution the client needs. B. Describe what the procedure below is designed to do or find – be specific (~1- Page 22.1339.9 2 sentences

Conference Session

New Trends in ECE Education

Collection

2011 ASEE Annual Conference & Exposition

Authors

Paul G. Flikkema, Northern Arizona University; Kenji Ryan Yamamoto, Northern Arizona University; Carol Haden, Magnolia Consulting, LLC; Jeff Frolik, University of Vermont; Tom Weller, University of South Florida

Tagged Divisions

Electrical and Computer

M. Hopper and K. A. Stave. Assessing the effectiveness of systems thinking interventions in the classroom.Proceedings of the 26th International Conference of the System Dynamics Society. Athens, Greece, July 20-24,2008.4 R. Hadgraft, A. Carew, S. Therese, and D. Blundell. Teaching and assessing systems thinking in engineering.Proceedings of the Research in Engineering Education Symposium. Davos, Switzerland, July 7 – 10, 2008.5 P. Flikkema. Learning embedded and real-time systems via low-cost mobile robots. Proceedings. 2001 ASEEAnnual Conference and Exhibition, 2001.6 J.S. Pereira and J.B. Bowles. Comparing controllers with the ball in a tube experiment. IEEE Trans. Fuzzy Syst.,Vol. 1, 8-11 pp. 504-510, Sept.1996.7 P. Wild, B. Surgenor

Conference Session

ETD Design I: Electrical and Computer Engineering Technology

Collection

2011 ASEE Annual Conference & Exposition

Authors

Antonio Soares, Florida A&M Univeristy; Chao Li, Florida A&M University/Florida State University

Tagged Divisions

Engineering Technology

the circuit diagrams for the two cases where the digitalI/Os are used in this project [4, 5, 7]. Page 22.270.5 Figure 4 Digital I/Os circuit diagrams for (a) Pushbuttons and (b) Reflectance SensorWhen the pushbutton is connected to a digital I/Os it can be used as a reset or start up controlsignal. In Figure 4 (a) pin PB1 is connected to VCC through the pull-up resistor R (20-50 k)which sets the voltage on the input pin to 5 V, so it reads as a digital 1. Pressing the buttonconnects the input to ground (0 Volts) through a 1 k resistor, which is much lower than the valueof R. This sets the input voltage very close to 0 V, so the pin reads

Conference Session

Assessment Instruments

Collection

2011 ASEE Annual Conference & Exposition

Authors

Julie Martin Trenor, Clemson University; Matthew K. Miller, Clemson University; Kyle G. Gipson, Clemson University

Tagged Divisions

Educational Research and Methods

AC 2011-925: UTILIZATION OF A THINK-ALOUD PROTOCOL TO COG-NITIVELY VALIDATE A SURVEY INSTRUMENT IDENTIFYING SOCIALCAPITAL RESOURCES OF ENGINEERING UNDERGRADUATESJulie Martin Trenor, Clemson University Julie Martin Trenor, Ph.D. is an assistant professor of Engineering and Science Education with a joint appointment in the School of Materials Science and Engineering. Her research interests focus on social factors affecting the recruitment, retention, and career development of under-represented students in engi- neering. Dr. Trenor is a recent NSF CAREER award winner for her research entitled, ”Influence of Social Capital on Under-Represented Engineering Students Academic and Career Decisions.”Matthew K. Miller, Clemson

Conference Session

Two Year-to-Four Year Transfer Topics Part I

Collection

2011 ASEE Annual Conference & Exposition

Authors

Julie A. Rursch, Iowa State University; Douglas W. Jacobson, Iowa State University

Tagged Divisions

Two Year College Division

degree programs in Computer Engineering, Computer Science, Information Systems, Information Technology, Software Engineering, in Computing Curricula Series. September 30, 2005, IEEE Computer Society.17. Evans, J.J. and D.W. Jacobson. A Computer Engineering Technology Body of Knowledge. in ASEE/IEEE Frontiers in Education. 2010. Washington, D.C.18. Cejda, B., Reducing transfer shock through faculty collaboration: A case study. Community College Journal of Research & Practice, 1994. 18(2): p. 189-199.19. Diaz, P., Effects of transfer on academic performace

Conference Session

NSF Grantees Poster Session

Collection

2011 ASEE Annual Conference & Exposition

Authors

Cindy Waters, North Carolina A&T State University; Stephanie Luster-Teasley, North Carolina A&T State University

Tagged Topics

NSF Grantees

0 11 9 7 5 3 1 1 3 5 7 9 11 11 9 7 5 3 1 1 3 5 7 9 11 Learning Preferences Scale Learning Preferences Scale (c) (d)Figure 2. Graphs of the Learning Preferences for Students in Environmental Engineering Courseand the number of students with the learning style preference. (a) Active vs. Reflective, (b)Sensing vs. Intuitive, (c) Visual vs. Verbal, and (d) Sequential vs. GlobalWhat does this mean to improving learning? The class as a whole favors active, sensing

Conference Session

FPD X: First-Year Design with Projects, Modeling, and Simulation

Collection

2011 ASEE Annual Conference & Exposition

Authors

Matthew Whiteacre, Texas A&M University; Jeffrey M. Otey, Texas A&M University

Tagged Divisions

First-Year Programs

focusing on mechanics and basic engineering graphics and werethus labeled the Mechanics track. Electrical and Computer Engineering and Computer Scienceand Engineering removed engineering graphics and desired an intensive focus on programmingand were labeled the Programming track. Petroleum Engineering and Chemical Engineeringfocused on engineering and physical processes and graphics and were labeled the Process track.The Process track was designed to be almost identical to the freshmen sequence beforereorganization. Each of these tracks, called tracks A, B, and C respectively, agreed to follow thebasic guidelines of implementing a project based curriculum.Track A had the students construct a truss from magnetic members, program a robotic vehicle

Conference Session

Panel on Innovative Graduate Education Concepts: Organized by the National Institute of Aerospace

Collection

2011 ASEE Annual Conference & Exposition

Authors

Bimal P. Nepal, Texas A&M University; F. Barry Lawrence, Texas A&M University

Tagged Divisions

Graduate Studies

respect to areas of workexperience and age of the students. The average work experience of a student is about 10 yearsand the average age is about 35 years. In this section we review well known work of MalcomKnowles that describe the adult learning behaviors. Knowles6 suggests that an adult is moreproblem oriented than subject-oriented in learning. The andragogy proposed by Knowlesdescribes the art and science of how adults learn with following assumptions (quoted fromMerriam et al.7): a. As a person matures, his or her self concept moves from that of a dependent personality toward one of a self-directing human being. b. An adult accumulates a growing reservoir of experience, which is a rich source for

Conference Session

Build Diversity in Engineering Graduate Programs

Collection

2011 ASEE Annual Conference & Exposition

Authors

Carmen G. Villa, Texas A&M University; Felecia M. Nave, Prairie View A&M University; Sherri S. Frizell, Prairie View A&M University; Mary V. Alfred, Texas A&M University; Fred Arthur Bonner II, Texas A&M University

Tagged Divisions

Minorities in Engineering

teachers. So at least I just make sure that they know that I’m trying and so I guess…it’s my teachers pushing me. Page 22.1499.4Similarly, students recognize the role HBCU characteristics, such as class size, play in fosteringfaculty-student personal relationships. Participants share, Student A-2 : The faculty; here at HBCU campuses you have the opportunity to work one-on-one with the faculty, talk one-on-one with the faculty and share information one- on-one. Student B-2: Along with what participant number 1 said, the class size not being as large we have close contact with our professorsFurthermore, when

Conference Session

Techniques to Enhance Environmental Engineering Courses

Collection

2011 ASEE Annual Conference & Exposition

Authors

Stephanie Luster-Teasley, North Carolina A&T State University; Cindy Waters, North Carolina A&T State University

Tagged Divisions

Environmental Engineering

4  3  2 3  2  1 1  0 0  11 9 7 5 3 1 1 3 5 7 9 11 11 9 7 5 3 1 1 3 5 7 9 11  Learning Preferences Scale Learning Preferences Scale (a)                                                                                  (b

Conference Session

Multidisciplinary Technical Session

Collection

2011 ASEE Annual Conference & Exposition

Authors

Magdalini Z. Lagoudas, Texas A&M University; Bugrahan Yalvac, Texas A&M University

Tagged Divisions

Multidisciplinary Engineering

studentsfrom majors other than engineering. Page 22.65.13References 1. Bransford, J., A.L. Brown, and R.R. Cocking. 2000. How people learn: Brain, mind, experience, and school. Washington, DC: National Academies Press. 2. McKenna, A.F., B. Yalvac, and G.J. Light. 2009. The role of collaborative reflection on shaping engineering faculty teaching approaches. Journal of Engineering Education 98(1): 17-26. 3. Ohland, M. W. Sheppard, S. D., Lichtenstein, G., Eirs, O., Chacra, D., & Layton, R. A. (2008). Persistence, engagement, and migration in engineering programs, Journal of Engineering Education 97 (3), 259-278. 4

Conference Session

First-Year Activities and Peer Review Strategies in Civil Engineering

Collection

2011 ASEE Annual Conference & Exposition

Authors

Luciana Barroso, Texas A&M University; James R. Morgan, Texas A&M University

Tagged Divisions

Civil Engineering

unclear or designed for so everything they confusing mentioned is addressed B Very helpful. They pointed out some Very detailed. We now know the exact flaws that we will have to correct direction our team needs to go… C Pretty helpful; the other group caught The clients feedback was even more some errors … which ended up helpful because it gave us better insight changing our layout quite a bit. as to what he wanted. D I believe it was helpful but not to the Very helpful! The clients feedback extent that looking at another teams helped enforce the basic

Conference Session

First-year Programs Division Poster Session

Collection

2011 ASEE Annual Conference & Exposition

Authors

Ghada Salama, Ph.D., Texas A&M University, Qatar; Beena Ahmed, Texas A&M University at Qatar

Tagged Divisions

First-Year Programs

collaborative work in team projects.Peer evaluation was performed using a standardized form (see appendix) in which students wereasked to assess each team member on the following criteria. a. Attended all team meetings and contributed to the activities. b. Met deadlines by the team. c. Contributed good ideas in the team activities. d. Participated in the team activities throughout the semester. e. Quantity of work in the team activities throughout the semester. Page 22.1627.4 f. Helped keep the team organized, cohesive, and progressing toward completion of the goals. g. Showed concern for the feelings of other team

Conference Session

NSF Grantees Poster Session

Collection

2011 ASEE Annual Conference & Exposition

Authors

Sheng-Jen Hsieh, Texas A&M University; Punit Deotale, Texas A&M University

Tagged Topics

NSF Grantees

pace3,4,5.Both of these systems are good examples of how technology can be used effectively to teachPLC programming. However, a PLC is just one component of an automated system.Technologies are needed to enable students to learn how to integrate multiple components toform an automated manufacturing system, develop the associated control logic, and run thesystem. In addition, research suggests that realistic practice in authentic learning environmentsleads to better transfer of skills6,7. Figure 1(a). Flow diagram for PSE for design of automated systems (top section) Page 22.435.3 Figure 1(b). Flow diagram for PSE for

Conference Session

SE Tools and Techniques

Collection

2011 ASEE Annual Conference & Exposition

Authors

Jeff Ringenberg, University of Michigan; Marcial Lapp, University of Michigan; Apoorva Bansal, University of Michigan; Parth Shah, University of Michigan

Tagged Divisions

Software Engineering Constituent Committee

accelerated courseAs Table 1 and 2 show, the overall correlation to regular exam scores for the regular courseremained roughly the same. However, the correlation of the predictive exam to the overallcourse grade increased from 0.33 to 0.39. In addition, the results in Table 3 show that theaccelerated course had an even greater correlation of 0.48. This shows that the questionrefinement technique discussed previously, along with the addition of new and related questions,was effective in increasing the predictive abilities of the exam. A final analysis was done usingthe same ad hoc technique that was used with the Fall 2009 data. The results of this werecombined for both versions of the course and are presented in Figure 2. Appendix B lists

Conference Session

Engineering Ethics Issues Part II

Collection

2011 ASEE Annual Conference & Exposition

Authors

Steven Culver, Virginia Tech; Vinod K. Lohani, Virginia Tech; Ishwar K. Puri, Virginia Tech

Tagged Divisions

Engineering Ethics

3Table 1: Frequencies, Means, and Standard Deviations for both Engineering (E) andBusiness (B) students on the Student Perceptions of Teaching Ethics Scale Scale Item Percent Mean (SD) Agree1. In my curriculum, there has E- 72% E- 4.06 (1.32) been a substantial emphasis B- 75% B- 4.20 (1.40) on teaching ethics.2. I have been taught about an E- 80% E- 4.36 (1.21) engineer’s (business person’s) B-79% B- 4.35 (1.31) core values and their relationship with effective ethical leadership.3. The textbooks and course E- 60% E- 3.68 (1.36) materials I have used in this B- 84% B- 4.51 (1.22) program often cover

Conference Session

Project-Based, Inquiry Guided, and High Performance Learning Environments: Effective Approaches

Collection

2011 ASEE Annual Conference & Exposition

Authors

Adrienne R. Minerick, Michigan Technological University

Tagged Divisions

Chemical Engineering

survey was broken into four sections: Part A: Attitudes and Time, Part B: The HighPerformance Learning Environment Model, Part C: Reading, critiquing and assimilatinginformation from archival technical journal articles, and Part D: Knowledge and Application ofthat Knowledge. The survey was conducted in the final class period of the semester. Fourgraduate students and four undergraduates were enrolled in the course. Six students voluntarilycompleted the survey (4 undergrads, 2 graduate students). Figure 1 captures the averageresponses and compares them to graduate students and undergraduate student responses.In Part A: Attitudes and Time, students were asked their feelings toward the class (Q1) to assessif they felt the course had been a good use

Conference Session

Entrepreneurship Faculty Development

Collection

2011 ASEE Annual Conference & Exposition

Authors

Nebojsa I. Jaksic, Colorado State University-Pueblo

Tagged Divisions

Entrepreneurship & Engineering Innovation

requirement is addressed by asking the students to minimize thecost of the designed system.Perceived Solution and Physical Contradiction IdentificationSince the students learned how to program using physical ladder logic, they are asked toimplement their designs using this knowledge. Most of the designs are similar to the one shownin Figure 2. This exercise takes about 20 minutes to complete. At this time, the students identifythe main flow in the design during a discussion with the professor. According to Figures 1 and 2,as the clamping plate clamps the part it also closes LS A thus energizing SOL A, extending thecenter cylinder, and punching the part through. When the center cylinder extends fully it closesLS B which in turn energizes SOL B. At

Collection

2011 Northeast Section Meeting

Authors

Buket D. Barkana; Nelson Ngoh; Allen Cook

) Lectures and Discussions, (b) Lab activities: Hands-on computer experience, and (c) Team Project.In this paper, we will present the developed course outline, the response of our students who arepre- and in-service teachers, and the lessons learned by the instructors.Introduction In everyday life, people use devices such as cell phones, iPods and digital cameras, whichuse audio and image processing technology. Although Ngoh and Saleh (2010) in an article titled“Is technology a curse or a blessing to our students of today”, it was clear that thesetechnologies can be used in classroom applications to motivate students and make sciencerelevant to their learning. Despite some minute issues revealed as the dark side of technology forstudents, it was

Conference Session

Design Tools & Methodology II

Collection

2011 ASEE Annual Conference & Exposition

Authors

Bradley Adam Camburn, University of Texas, Austin; Kristin L. Wood, University of Texas, Austin; Daniel D. Jensen, U.S. Air Force Academy

Tagged Divisions

Design in Engineering Education

predict solution form. The first result, similarity ofdescription shows that teams generally describe problems in the same way. Additionally thismethod could assist discordant teams in development of a hierarchical list of objectives. Thecomputed results are list in Table 3, the list of specific responses is included in Appendix B. Energy Harvester 60% Micro Aerial Vehicle 43% Tunneling Robot 80% Personal Transporter 80% Table 3: Similarity values of four teams, expressed as a percentage (S*100%) The analysis summarized in Table 3 examines team member to team member

Conference Session

Capstone Design III

Collection

2011 ASEE Annual Conference & Exposition

Authors

Stacy S. Wilson, Western Kentucky University; Mark E. Cambron, Western Kentucky University; Michael L. McIntyre, Western Kentucky University

Tagged Divisions

Design in Engineering Education

Project Management Plan shown in Figure 1, the students define the attributes of theproject in an effort create a detailed statement of work. A more thorough description of thecomponents of the Project Management Plan is provided in the referenced documents.1,2I. Project Management Plan A. Project Requirements 1. High level overview of project 2. Identification of stakeholders a. Technical sponsor b. Faculty sponsors name B. Scope 1. Product description 2. Product acceptance criteria 3. Project deliverables 4. Project exclusions 5. Project constraints 6. Project assumptions 7

Conference Session

Capstone Design Projects in ECE

Collection

2011 ASEE Annual Conference & Exposition

Authors

Ziqian Liu, State University of New York, Maritime College

Tagged Divisions

Electrical and Computer

) (1) dt JLr J d a Rr Rr a b Mia (2) dt Lr Lr d b Rr Rr b a Mib (3) dt Lr Lr dia MRr M

Conference Session

Thermodynamics, Fluids, and Heat Transfer I

Collection

2011 ASEE Annual Conference & Exposition

Authors

Brent A Nelson, Northern Arizona University; Constantin Ciocanel, Northern Arizona University

Tagged Divisions

Mechanical Engineering

. Page 22.42.73.3 Conceptual Understanding ResultsTable 1 shows the average exam scores and standard deviations for each of the exams given inME450, during or after the design project was in process. The scores are shown separately forboth the conceptual portion of the exams and the problem-solving analytical portion of theexams. Table 1 also shows the percentage of students scoring above 80%, which both gives anindication of the skewness of the grade distribution since the means are close to 80% and alsoindicates the percentage of students demonstrating proficiency at the „B‟ level or higher in thesubject. Finally, Table 1 also shows p-values for t-tests comparing student performance onvarious parts of the exams. For midterms one and two, a

Conference Session

International Poster Session

Collection

2011 ASEE Annual Conference & Exposition

Authors

Fakhteh Nakhavali, Ferdowsi University of Mashhad

Tagged Divisions

International

other languages especially in English, pig expressions can have semantic features as follow: a)worthless: "A hog in armor is but a hog"," you can not make a satin purse of a sow’s ear", "Draff isgood enough for swine", "cost not pearls before swine". (Latin) Page 22.97.4 3 b) Unclean: "A measly hog infects the whole sty"," the pig prefers mud to clean water" (Latin),"still swine eats all the draff". c) Disobedient: "when the pig is offered, hold up the poke". d) Greedy: "give a pig a finger, and he wants the whole hand". (Yiddish) e) Lazy:" The lazy pig does not eat ripe

Conference Session

Innovations in Power Engineering Education

Collection

2011 ASEE Annual Conference & Exposition

Authors

Sanghun Choi, Purdue University; Maryam Saeedifard, Purdue University; Rohit Shenoy, MathWorks

Tagged Divisions

Electrical and Computer

and dc-ac invertersare designed and prototyped by the students, Fig. 1(b). Page 22.67.4 (a) (b)Fig. 1: Laboratory workstation for (a) built-in power electronic circuits on the TI C2000 RED kit, and (b) student’s designed and prototyped circuits. a. Integrated Development EnvironmentThe concepts of rapid prototyping and digital control techniques in power electronics in thedeveloped laboratory are realized based on using the TI C2000 micro-controller [13] inconjunction with the MATLAB/Simulink