Conference Session

Pedagogical Innovations in Laboratory Education

Collection

2010 Annual Conference & Exposition

Authors

Arif Sirinterlikci, Robert Morris University; Sushil Acharya, Robert Morris University

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

engineering proposal consisting of a problem statement, project objectives, preliminary B.O.M and a plan of action. This is due one week after the project is assigned. 2. Project Progress Updates: The students provide a weekly update to the instructor and their team either via email or through pre-scheduled meetings. Altogether 9 updates are required. In these updates the teams are required to communicate the following: a. What happened the past week? b. What will happen this week? c. What are the major issues the team is facing? 3. Project Report: At the end of the term the teams submit a comprehensive project report. This report provides the details of how the project is executed. It

Collection

2010 Spring ASEE Middle Atlantic Section Conference

Authors

AS Ward; MN Gooseff; RY Toto; SE Zappe

emphasize active learning and provide higher-order challenges, butthese laboratories are often subject to the constraints of (a) increasing student enrollment,(b) limited funding for operational, maintenance, and instructional expenses and (c)increasing demands on undergraduate student credit requirements. Here, we presentresults from a pilot project implementing virtual (or online) laboratory experiences as analternative to a traditional laboratory experience in Fluid Mechanics, a required third yearcourse. Students and faculty were surveyed to identify the topics that were most difficult,and virtual laboratory and design components developed to supplement lecture material.Laboratories were assessed by comparing student ratings of topic difficulty

Collection

2010 Northeast Section Meeting

Authors

AS Ward; MN Gooseff; RY Toto; SE Zappe

emphasize active learning and provide higher-order challenges, butthese laboratories are often subject to the constraints of (a) increasing student enrollment,(b) limited funding for operational, maintenance, and instructional expenses and (c)increasing demands on undergraduate student credit requirements. Here, we presentresults from a pilot project implementing virtual (or online) laboratory experiences as analternative to a traditional laboratory experience in Fluid Mechanics, a required third yearcourse. Students and faculty were surveyed to identify the topics that were most difficult,and virtual laboratory and design components developed to supplement lecture material.Laboratories were assessed by comparing student ratings of topic difficulty

Collection

2010 ASEE Zone 1 Conference

Authors

Antonio F. Mondragon-Torres

. 6 REFERENCES [1] D. Chubin, K. Donaldson, B. Olds, and L. Fleming, "Educating Generation Net-can U.S. engineering woo and win the competition for talent?," Journal of Engineering Education, vol. 97, pp. 245-257, 2008. [2] J. Holley, "Generation Y: understanding the trend and planning for the impact," in 2008 IEEE 32nd International Computer Software and Applications Conference (COMPSAC), 28 July 2008-1 Aug. 2008, Piscataway, NJ, USA, 2008, p. 2. [3] C. Jones, R. Ramanau, S. Cross, and G. Healing, "Net generation or Digital Natives: Is there a distinct new generation entering university?," Computers and Education

Conference Session

Innovations in ECE Education

Collection

2010 Annual Conference & Exposition

Authors

Jean-Claude Thomassian, State University of New York, Maritime College; Anoop Desai, Georgia Southern University

Tagged Divisions

Electrical and Computer

complemented by media based instruction to facilitate thelearning of engineering fundamentals with minimal time. The authors intend to repeat thisexperiment over another several years. Experimental results will be shared with the academiccommunity in the future through appropriate publications.References1. P. Cohen, B. Ebeling and H. Kulik, “A meta-analysis of outcomes studies of visual-based instruction,” Educational Communications and Technology Journal, vol. 29, no. 1, pp.26-36, March, 1981.2. J.V. Powell, V.G. Aeby Jr. and T. Carpenter-Aeby, “A comparison of student outcomes with and without teacher facilitated computer-based instruction,” Computers & Education, vol. 40, no. 2, pp. 183-191, February, 2003.3. H. L. Chen, L. R

Conference Session

Technological Literacy and the Educated Person

Collection

2010 Annual Conference & Exposition

Authors

R. William Graff, LeTourneau University; Paul Leiffer, LeTouneau University; Martin Batts, Le Tourneau University; Maria J. Leiffer, LeTouneau University

Tagged Divisions

Technological Literacy Constituent Committee

surrender of the claim that science is true. We may be living nearer thanwe suppose to the end of the Scientific Age.”2 Page 15.1367.18Bibliography, Appendix B:1. White, L., “The Historical Roots of our Ecological Crisis.” Science, vol. 155, p.1203-1207, 1967.2. Lewis, C.S., Miracles: a preliminary study, Collins, London, p. 110, 1947. Page 15.1367.19

Conference Session

Assessment & Continuous Improvement in ET: Part I

Collection

2010 Annual Conference & Exposition

Authors

Carmine Balascio, University of Delaware; Thomas Brumm, Iowa State University; Steven Mickelson, Iowa State University

Tagged Divisions

Engineering Technology

graduates have:a. an appropriate mastery of the knowledge, techniques, skills, and modern tools of their disciplines,b. an ability to apply current knowledge and adapt to emerging applications of mathematics, science, engineering, and technology,c. an ability to conduct, analyze and interpret experiments, and apply experimental results to improve processes,d. an ability to apply creativity in the design of systems, components, or processes appropriate to program educational objectives,e. an ability to function effectively on teams,f. an ability to identify, analyze and solve technical problems,g. an ability to communicate effectively,h. a recognition of the need for, and an ability to engage in lifelong learning,i. an ability to understand

Conference Session

Computational Tools and Simulation I

Collection

2010 Annual Conference & Exposition

Authors

Arnaldo Mazzei, Kettering University; Richard Scott, University of Michigan

Tagged Divisions

Computers in Education

(16)The linear natural frequencies and mode shapes can be found by assuming solution forms: λ1 ? A sin ∗ s Τ + , λ 2 ? B sin ∗ s Τ + (17)Substituting into equations (16) gives: A 1 − χ / s 2  − B ] /χ _ ? 0 A ] /χ _ − B 1 − χ / s 2  ? 0 (18)For non-zero solutions, the determinant of the coefficients must be zero. This gives a polynomialin s , from which the natural frequencies can be obtained. Equations (18) give the associatedmode shapes

Conference Session

Innovations in ECE Education II

Collection

2010 Annual Conference & Exposition

Authors

Stuart Wentworth, Auburn University; S. Hossein Mousavinezhad, Idaho State University; Mani Mina, Iowa State University; Wei PAN, Idaho State University

Tagged Divisions

Electrical and Computer

engineering laboratories with accessavailable to all faculty and students, mainly for classroom use. Many electrical/computerengineering leading industries use MATLAB and its toolboxes.Waves on Transmission LinesIn a transmission lines first approach towards teaching electromagnetics, students are first (a) (b) Figure 1: MATLAB movie snapshots taken (a) just before and (b) just after wave is incident on the load. The incident wave is blue and reflected wave is red. Page 15.509.4exposed to wave behavior on transmission lines

Conference Session

NSF Grantees Poster Session

Collection

2010 Annual Conference & Exposition

Authors

Zenaida Otero Gephardt, Rowan University; Stephanie Farrell, Rowan University; Mariano Savelski, Rowan University; Krchnavek Robert, Rowan University; C. Stewart Slater, Rowan University; Vladimir DeDelva, Rowan University; Michael Glasspool, Rowan University; Muhammad Iftikhar, Rowan University; Keith McIver, Rowan University; Katherine Ross, Rowan University; Kathryn Whitaker, Rowan University; Tatsiana Sokal, Rowan University

been designed for students to investigate the effect ofmixing time, particle size and loading configuration in a statistical design. The experiments anddata analysis are conducted over multiple class periods, and students are exposed to experimentaldesign strategies. A 5 L constant frequency V-mixer is used for laboratory experiences incourses, projects and research. Figures 1a and b show the mixer and the loading operation for amixing experiment.Figures 1 a) 5 L V-mixer b) Loading mixer for experimentFactorial and response surface Box-Behnken experimental designs are used and students assessthe efficacy of experimental design strategies. Variables studied include particle size and particlesize difference, mixing time

Conference Session

Importance of Technical & Professional Writing in Engineering Technology Curriculum

Collection

2010 Annual Conference & Exposition

Authors

Peilin Fu, National University; Shekar Viswanathan, National University, San Diego; Ronald Uhlig, National University, San Diego; Howard Evans, National University, San Diego

Tagged Divisions

Engineering Technology

  D  D  M  M  M  Presentation Figure 1: Signature writing assignments mapping for MS in Wireless Communication Program   CIS601  CIS602  CIS603  CIS604  CIS606  CIS607  CIS608  CIS609   CIS620  CIS620  A  B  Periodic  progress                  ID  M  report  Cover letter  for a report  I  D  D  D  D  D  D  D  M  M  or proposal Business

Conference Session

Think Outside the Box! K-12 Engineering Curriculum

Collection

2010 Annual Conference & Exposition

Authors

Courtney Bonuccelli, Washington State University; Denny Davis, Washington State University

Tagged Divisions

K-12 & Pre-College Engineering

electroniccomponent. The substrate surface is then augmented with micro-machining to produce a matrixof micron sized posts. Finally, these posts can be chemically augmented to further improve theirinteraction with the fluid of choice. (A) (B) (C) Copper Substrate Micro-pin-fins Chemically augmented postsFigure 1: Schematic of a (A) traditional copper substrate heat sink, (B) substrate with micro-pin-finsmachined into surface, and (C) final augmented design with chemically enhanced posts. The surface enhancement is one part of the optimized design solution

Conference Session

Student Attitudes and Perceptions

Collection

2010 Annual Conference & Exposition

Authors

Tuba Yildirim, University of Pittsburgh; Mary Besterfield-Sacre, University of Pittsburgh; Larry Shuman, University of Pittsburgh

Tagged Divisions

Educational Research and Methods

. These include establishing and maintaining a robust understanding ofmath and science, learning how to include the approximations of real life, searching for relevantinformation, creating a conceptual and subsequent mathematical model, using data within themodel, testing the model results and further, and providing insight and validation on the obtainedtest results. It is expected that a particular level of self-efficacy is essential in overcoming thefear or anxiety that novice modelers experience in approaching an assigned task. b. Modeling in EngineeringBroadly defined, the term model refers to a simplified or idealized description or conception of aparticular system, situation, or process, often in mathematical terms, that is put forward

Collection

2010 ERC

Authors

Arun Majumdar

    u al u s a s­ s ­ e s Opportunity s in B uPACE AND SCALE OF INNOVATIONS NEEDED IN ENERGY TECHNOLOGIES Game Changers from 20 th  Century  §  Artificial Fertilizers  §  Green Revolution  20 years  §  Polio Vaccination  Imagine all of this happening  in the next 20 years…  §  Antibiotics 100 years  §  Airplanes

Collection

2010 ERC

Authors

Arun Majumdar

    u al u s a s­ s ­ e s Opportunity s in B uPACE AND SCALE OF INNOVATIONS NEEDED IN ENERGY TECHNOLOGIES Game Changers from 20 th  Century  §  Artificial Fertilizers  §  Green Revolution  20 years  §  Polio Vaccination  Imagine all of this happening  in the next 20 years…  §  Antibiotics 100 years  §  Airplanes

Conference Session

Innovative Instructional Strategies and Curricula

Collection

2010 Annual Conference & Exposition

Authors

Kingsley Reeves, University of South Florida; Bill Blank, University of South Florida; Victor Hernandez-Gantes, University of South Florida; Maniphone Dickerson, University of South Florida

Tagged Divisions

Mathematics

just guesses on each question. a) What is the range of the random variable X, the number of questions the student answers correctly? b) Construct the probability mass function for the random variable X, the number of questions that the student answers correctly.Note that the question allows students to build upon material that they have already studied andmastered. Namely, the students build upon their knowledge of statistical independence, thecounting technique known as a combination, and the concept of a probability mass function. Allof these topics were covered prior to introducing this new topic. After dealing with this familiartype of question, the next question in the sequence becomes

Conference Session

Teaching Technological Literacy - College Courses and Minors

Collection

2010 Annual Conference & Exposition

Authors

John Krupczak, Hope College; Mani Mina, Iowa State University; Robert J. Gustafson, Ohio State University; James Young, Rice University

Tagged Divisions

Technological Literacy Constituent Committee

Society for Engineering Education Annual Conference, June 22 - 25, 2008, Pittsburgh, PA.17. Gustafson, R. J. and B. C. Trott. 2009. Two Minors in Technological Literacy for Non-Engineers, Proceedings of the American Society for Engineering Education Annual Conference, June 15-17, Austin, TX.18. Krupczak, J. J., S. VanderStoep, L. Wessman, N. Makowski, C. Otto, and K. Van Dyk. 2005. “ Work in progress: Case study of a technological literacy and non-majors engineering course,” Proceeding of the 35th ASEE/IEEE Frontiers in Education Conference, October 19-22, Indianapolis, IN.19. Pintrich, P. R., D. Smith, T. Garcia, and W. McKeachie. 1991. A Manual for the Use of the Motivated Strategies for Learning

Conference Session

Capstone and Senior Design in Engineering Technology: Part II

Collection

2010 Annual Conference & Exposition

Authors

William Leonard, Rochester Institute of Technology; Robert Merrill, Roch Inst of Tech; Elizabeth Dell, Rochester Institute of Technology

Tagged Divisions

Engineering Technology

activity must require students to create a solution to a problem that extends them beyond what they have been taught in coursework at their level in the program. 3. The activity must involve diverse aspects of the program as defined by program outcomes. These are: a. At least 3 program outcomes from those identified as technical b. At least 4 program outcomes from those identified as non-technical.The intent of the program is to provide students with the opportunity to work on as many of theseproblems as possible and to have them experience problem solving that integrates all programoutcomes by the time they have finished the program.Traditional methods –Capstone ProjectsA Capstone Engineering Education survey was

Conference Session

Technological Literacy - Courses, Educational and Accreditation Standards

Collection

2010 Annual Conference & Exposition

Authors

John Blake, Austin Peay State University

Tagged Divisions

Technological Literacy Constituent Committee

these outcomes. The Page 15.1195.4common lists of outcomes for engineering and for engineering technology are listed below.Engineering Degree Programs: EAC of ABET Accreditation Criteria Criterion 3. Program Outcomes Engineering programs must demonstrate that their students attain the following outcomes: (a) an ability to apply knowledge of mathematics, science, and engineering (b) an ability to design and conduct experiments, as well as to analyze and interpret data (c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental

Conference Session

Modeling Student Data

Collection

2010 Annual Conference & Exposition

Authors

P.K. Imbrie, Purdue University; Joe Jien-Jou Lin, Purdue University; Kenneth Reid, Ohio Northern University

Tagged Divisions

Educational Research and Methods

among the various toolswithin the machine learning community. During the past decades it has been widely usedin technical applications involving prediction and classification, especially in areas ofengineering, business and medicine22,23. The neural network model is especially attractivefor modeling complex systems because of its favorable properties: universal functionapproximation capability, accommodation of multiple non-linear variables with unknowninteractions, and good generalization ability24. More modeling details on applying NN topredict student retention in engineering can be found in Imbrie et al.4.C. Retention ModelsFive different forms of retention models (A, B, C, D and E as shown in Table 1) wereused in this study to evaluate the

Conference Session

Frontiers in Engineering Economy

Collection

2010 Annual Conference & Exposition

Authors

Joseph Hartman, University of Florida; Jennifer Smith, University of Florida

Tagged Divisions

Engineering Economy

. Theinstructor must supply all content. This year, a course is being developed for EngineeringEconomy – the first engineering course to be developed under the program.Engineering Economy is taught in three departments in the College of Engineering, includingCivil Engineering, Chemical Engineering and Industrial Engineering, at the University ofFlorida. The course taught in Industrial and Systems Engineering generally has the highestenrollments, with roughly 400 students from Industrial, Mechanical, Electrical, Computer,Computer Science and Materials Science enrolling annually (170 in each fall and spring semesterand 60 in the summer).The course was chosen for development because (a) it impacts a large number of engineeringstudents; (b) development could

Conference Session

IE and Manufacturing

Collection

2010 Annual Conference & Exposition

Authors

Rashpal Ahluwalia, West Virginia University; Atul Phadke, West Virginia University; Gary Winn, West Virginia University; Reagan Curtis, West Virginia University

Tagged Divisions

Industrial Engineering

enrollment in STEM areas has beendeclining; this is particularly true for minority and Appalachian students. This project workedwith two batches of twenty students each. Each batch was organized into four teams of fivestudents. All students were first provided instruction in logic circuits and ladder logic. Ladderlogic circuits for four tasks were created; a) simulation of automatic garage door, b) simulationof four way traffic light, 3) controlling a light via a physical switch, and 4) physical control offive lights. The five lights mimicked traffic lights (red, yellow, yellow left, green, and green left)at an intersection. The students were asked to control the timing sequence of the lights. Uponcompletion of the eight hour lecture/laboratory

Collection

2010 ASEE Midwest Section Conference

Authors

Christopher C. Ibeh

thickness (10*10-9 m). In 1989 US Environmental Protection Agency(EPA), banned the commercial manufacture, importation, processing and distribution of mostasbestos-containing products. The original 1989 EPA ban was vacated and remanded by the1991 U.S. Fifth Circuit Court of Appeals but the upgraded EPA ban remains in effect under A B CFigure 2: Some of the Many Different Forms of Asbestos [Courtesy: US Geological Survey]A = Serpentine Asbestos [(Mg,Fe)3Si2O5(OH)4, Magnesium/Iron Silicate Hydroxide)]B = Tremolite Asbestos; C = Presence of Asbestos in the Lung.the 1999 Clean Air Act and the Toxic Substances Control Act (TSCA). Asbestosmanufacturing has been discontinued in the US since

Conference Session

Advances in Engineering Economy Pedagogy

Collection

2010 Annual Conference & Exposition

Authors

Paul Kauffmann, East Carolina University; Stephanie Sullivan, East Carolina University; Gene Dixon, East Carolina University; B.J. Kim, East Carolina University

Tagged Divisions

Engineering Economy

XC. Analyses (e.g., breakeven, benefit-cost) X XD. Uncertainty (e.g., expected value and risk) X X XAfternoon- Chemical: Process Design and Economic Optimization 10%A. Process flow diagrams (PFD)B. Piping and instrumentation diagrams (P&ID)C. Scale-up X XD. Comparison of economic alternatives (e.g., NPV, discounted cash flow, rate of return) X XE. Cost estimation

Conference Session

Opportunities and Challenges in Developing International Engineering Research

Collection

2010 Annual Conference & Exposition

Authors

Kevin McGarvey, Rowan University; Michael Panko, Rowan University; Michael Kerbaugh, Rowan University; Gabriel Posluszny, Rowan University; Beena Sukumaran, Rowan University; Anthony Cavalier, Rowan University

Tagged Divisions

International

, Anthony Marchese, Ravi Ramachandran, Beena Sukumaran, Roberta Harvey, “Multi-disciplinarydesign and communication: a pedagogical vision,” International Journal of Engineering Education. Vol. 15 (1999),pp. 376-382.6 Mehta, Y., and Sukumaran, B. (2007), “Integrating Service Learning in Engineering Clinics,” InternationalJournal for Service learning in Engineering, Vol. 2, No. 1,(2007), pp. 32-43.7 Teague, Walter Dorwin. Flour for Man's Bread: A History of Milling. University of Minnesota Press. 1952.8 Image of metal grinding plates used in grinding mills, Accessed on January 5, 2010 fromhttp://countrylivinggrainmills.com/store/parts/grindingPlates.jpg9 Image of Country Living Grinding Mill, Accessed on January 5, 2010 fromhttp

Conference Session

Best Zone Paper Competition

Collection

2010 Annual Conference & Exposition

Authors

Augusto Macalalag, Stevens Institute of Technology; Debra Brockway, Stevens Institute of Technology; Mercedes McKay, Stevens Institute of Technology; Elisabeth McGrath, Stevens Institute of Technology

Tagged Divisions

Council of Sections

incorporated: (a) active student learning, (b) team-based approach to teaching, (c)computer-based technological resources in the lesson, (d) the engineering design process, and/or(e) the inquiry approach to teaching and learning science.The overarching aim of the three-year PISA program is to: (a) demonstrate and institutionalizewithin participating schools a methodology, supporting curriculum materials, and otherinstructional resources and strategies to increase student interest, engagement, and achievementin science, mathematics, engineering, and technology and further, to (b) promote a culture ofinventiveness and creativity that calls upon students to demonstrate 21st century workforce skills

Conference Session

NSF Grantees Poster Session

Collection

2010 Annual Conference & Exposition

Authors

Robert Gerlick, Washington State University; Denny Davis, Washington State University; Shane Brown, Washington State University; Michael Trevisan, Washington State University

, differentiatedepths of reflection; processes of reflection describe activities/steps involved as one reflects.Table 2 gives a brief overview of the various models of reflection in terms of levels andprocesses.Table 2. Conceptual Models of ReflectionAuthor Levels of ReflectionMezirow (1991)a 1. Habitual action, 2. Thoughtful action/Understanding, 3. Reflection, 4. Critical reflectionThorpe (2004)b 1. Non-Reflectors (i.e., habitual action, thoughtful action, and introspection) 2. Reflectors (i.e., content reflection, process reflection) 3. Critical reflection (i.e., premise reflection)King and Kitchener 1. Pre-reflective reasoning, 2. Quasi-reflective reasoning, 3. Reflective reasoning

Conference Session

Robotics Curriculum

Collection

2010 Annual Conference & Exposition

Authors

William Michalson, Worcester Polytechnic Institute; Fred Looft, Worcester Polytechnic Institute

Tagged Divisions

Multidisciplinary Engineering

week.Concluding RemarksRBE400X is still a work in progress and will be refined in subsequent offerings; however webelieve that our first pass at teaching this course was sufficiently successful to continue offeringthe course. Student response in their course evaluations was uniformly positive, and showed thatthe students considered the course to be effective in increasing their understanding of the designprocess. Page 15.370.9 8As would be expected, the quality of the designs produced was variable, however those studentsgraded at the A and B level clearly showed improvement in their technical skills and in

Conference Session

Programmatic Issues in Physics or Engineering Phys

Collection

2010 Annual Conference & Exposition

Authors

Evan Lemley, University of Central Oklahoma; Baha Jassemnejad, University of Central Oklahoma; Matthew Mounce, US Navy; Jamie Weber, Parsons; Sudarshan Rai, Unknown; Willy Duffle, University of Central Oklahoma; Jesse Haubrich, University of Central Oklahoma

Tagged Divisions

Engineering Physics & Physics

engineeringprofession and for graduate engineering study.Bibliography1. R. Todd, S. Magleby, C. Sorenson, B. Swan, and D. Anthony. "A Survey of Capstone Engineering Courses in North America.” Journal of Engineering Education, April 1995, pp. 165-174.2. Susannah Howe and Jessica Wilbarger. “2005 National Survey of Engineering Capstone Design Courses.” ASEE Annual Conference and Exposition, Chicago, 2006. Session 2525.3. Miguel A. Labrador, John Wolan, Grisselle Centeno, Ashok Kumar, Gray Mullins, Rudiger Schlaf. “ A Research Initiative to Close the Gap between Undergraduate and Graduate School in Engineering.” 34th ASEE/ IEEE Frontiers in Education Conference, Savannah, GA, 2004.4. Committee on Prospering in the Global Economy of the

Conference Session

Engineering Collaboration: Faculty & Student in K-12 Programs

Collection

2010 Annual Conference & Exposition

Authors

Holly Anthony; Josh Price; Joe Harris

Tagged Divisions

K-12 & Pre-College Engineering

II, review information that thestudents have recorded in their journals. I: On board, review what students already know. This should include some basic knowledge of metals, heat, and temperature. II: Discuss any ideas that may have been generated that suggest a tentative course of action. III: Begin lecture on metals and alloys. This lecture will take at least two days and students may record lecture notes in their journal. (Days III-IV) IV: Brain Storm #1: Students will b asked to write a short essay explaining what they think will happen to metals that undergo heat stress. V: Quiz at beginning of class on day V over metals lecture