Conference Session

Engineering and Public Policy I

Collection

2013 ASEE Annual Conference & Exposition

Authors

John Alexander Mendoza-Garcia, Purdue University / Pontificia Universidad Javeriana

Tagged Divisions

Engineering and Public Policy

Engineering Programs, 2011 - 2012. (2011).at 4. Tull, K. & Jones, S. A sophomore-level Engineering and Public Policy course required for B.A. Engineering majors at Lafayette College. 13 (2006).at 5. Myers, T. D. Learning outcomes for an Engineering and Technology Public Policy curriculum. (2008).at 6. Grose, T. K. Public Policy for the Tech-Minded. ASEE Prism 18, 47 – 48 (2009).7. Myers, T. & Stuart, B. Teaching engineering and technology public policy while fulfilling multiple ABET and university requirements. 13 (2010).at 8. Harter, K. & Libros, R. Aset 101: Science, Technology And Public Policy: Increasing Technological Literacy Among Community College Students. (2010).at 9. Sicker

Conference Session

New Trends in ECE Education II

Collection

2013 ASEE Annual Conference & Exposition

Authors

Margret Hjalmarson, George Mason University; Jill K Nelson, George Mason University; Lisa G. Huettel, Duke University; Wayne T. Padgett, Rose-Hulman Institute of Technology; Kathleen E. Wage, George Mason University; John R. Buck, University of Massachusetts, Dartmouth

Tagged Divisions

Electrical and Computer

challenges.ReferencesAmbrose, S., Bridges, M. W., DiPietro, M., Lovett, M., Norman, M. & Mayer, R. (2010).How learning works: Seven research-based principles for smart teaching. San Francisco,CA: Jossey-Bass. Page 23.402.8Jamieson, L. H. & Lohmann, J. R. (2012). Impact for innovation: Creating a Culture forScholarly and Systematic Innovation in Engineering Education. Washington, D.C.:American Society for Engineering Education.Loucks-Horsley, S., Stiles, K. E., Mundry, S., Love, N., & Hewson, P.W. (2010).Designing professional development for teachers of science and mathematics (2nd ed.)Thousand Oaks: Corwin Press.  Star, J. R. (2005). Reconceptualizing

Conference Session

Mathematics Division Technical Session 4

Collection

2013 ASEE Annual Conference & Exposition

Authors

Rebecca Bourn, Tribeca Flashpoint Media Arts Academy; Sarah C. Baxter, University of South Carolina

Tagged Divisions

Mathematics

problems; it isapplicable to a variety of mathematical levels, and in concept it is extremely accessible to thestudents.References[1] Dehaene, S. “Origins of Mathematical Intuitions: The Case of Arithmetic” The Year in Cognitive Neuroscience2009: Ann. N.Y. Acad. Sci. 1156: 232–259, 2009.[2] Halberda, J., Mazzocco, M.M.M. and Feigenson, L. “Individual differences in non-verbal number acuitycorrelate with maths achievement” Nature, 455|2 , 665-669, 2008.[3] Mlsna, P., McShane, J., Maynard, J. Lanzetta, M., Ismay, C. and Brown, S. “Mathematics Skills AssessmentAnd Training In Freshman Engineering Courses”, Proceedings of the 2008 American Society for EngineeringEducation Annual Conference and Exposition.[4] Mavrovouniotis, M.L. and Stephanopoulos, G

Conference Session

Statics - They can move at constant velocity!

Collection

2013 ASEE Annual Conference & Exposition

Authors

Sirena C. Hargrove-Leak, Elon University

Tagged Divisions

Mechanics

: “Threshold concepts, once learned, are likely to bring together different aspects of the subject that previously did not appear, to the student, to be related3.” This is probably the most obvious connection this work due to the inherent need to apply fundamental principles of mathematics and science when solving complex engineering problems. For example, a statics problem may involve trigonometry, vector algebra, and Newton‟s second law of motion.  Transformative: Threshold concepts are “akin to a portal, opening up a new and previously inaccessible way of thinking about something . . . it represents a transformed way of understanding, or interpreting, or viewing . . . without which the learner cannot

Conference Session

Environmental engineering pedagogy and innovation

Collection

2013 ASEE Annual Conference & Exposition

Authors

Sukalyan Sengupta, University of Massachusetts, Dartmouth; Jeffrey A Cunningham, University of South Florida; Sarina J. Ergas, University of South Florida; Ramesh K. Goel, University of Utah; Dilek Ozalp, University of South Florida; Teri Kristine Reed, Purdue University, West Lafayette

Tagged Divisions

Environmental Engineering

; Swackhamer G, 1992. Force concept inventory. The Physics Teacher, 30: 141–158. 3 Hestenes D & Wells M, 1992. A mechanics baseline test. The Physics Teacher, 30: 159–166. 4 Krause S, Birk J, Bauer R, Jenkins B, & Pavelich MJ, 2004. Development, testing, and application of a chemistry concept inventory. ASEE/IEEE 34th Annual Frontiers in Education Conference, Savannah, GA. doi: 10.1109/FIE.2004.1408473 5 Klymkowsky MW, Underwood SM, Garvin-Doxas RK, 2010. Biological Concepts Instrument (BCI): A diagnostic tool for revealing student thinking. Available at: http://bioliteracy.colorado.edu (accessed 10 January 2012). 6 Stone A, Allen K, Reed-Rhoads T, Murphy TJ, Shehab RL, & Saha C, 2003. The Statistics Concept Inventory: A

Conference Session

Supporting Diversity in Engineering

Collection

2013 ASEE Annual Conference & Exposition

Authors

Chung Hyuk Park, Georgia Institute of Technology; Ayanna Howard, Georgia Institute of Technology

Tagged Divisions

K-12 & Pre-College Engineering

such as games can encouragethem to work hard to achieve goals and also learn the material with more passion. Futurework will focus on expanding the command set to provide feedback associated with othersensory modes, such as robot vision, and other robot tasks, such as manipulation.Bibliography[1] Nat’l Science Foundation, Division of Science Resources Statistics, Women, Minorities, and Persons with Disabilities in Science and Engineering: 2002, Sept. 2003.[2] C. Mull, P. Sitlington, and S. Alper, “Postsecondary Education for Students with Learning Disabilities: A Synthesis of the Literature,” Exceptional Children, vol. 68, no. 1, pp. 97-118, 2001.[3] B. Bech-Winchatz and M. Riccobono, “Advancing Participation of Blind Students in

Conference Session

Communication, Professional Development, and the Engineering Ambassador Network

Collection

2013 ASEE Annual Conference & Exposition

Authors

Catherine Talbot; Michael Alley, Pennsylvania State University, University Park; Melissa Marshall, Pennsylvania State University, University Park; Christine Haas, Worcester Polytechnic Institute; Sarah E Zappe, Pennsylvania State University, University Park; Joanna K. Garner, Old Dominion University, Norfolk, Virginia

Tagged Divisions

Liberal Education/Engineering & Society

.. Engineerinng Ambassaddors givetheir outreach preesentations tot science an nd math classses in teams of two. Thee careersassem mbly presenttation is giveen in teams of o four to sixx, dependingg on how maanyambaassadors visit the school.. In these carreers assembbly presentattions, the am mbassadorshave the opportun nity to reinfoorce the messsages from Changing thhe Conversation. Leadersh hip. In additiion to commmunication traaining and eexperience, aambassadorssgain valuable v leadership skillls. At Penn State, S for exaample, ambaassadors are required toread the t book Lin nchpin: Are You Y Indispen nsible 8 by S

Conference Session

Mathematics Division Technical Session 4

Collection

2013 ASEE Annual Conference & Exposition

Authors

Jennifer Vandenbussche, Southern Polytechnic State University; William George Griffiths IV, Southern Polytechnic State University; Christina R Scherrer, Southern Polytechnic State University

Tagged Divisions

Mathematics

Journal for Technology in Mathematics Education, Vol. 14, No. 4, pp. 63-68 (2007). 2. R.M. Bennett, W. Schleter, T. Olson, and S. Guffey, ―Effects of an Early Homework Completion Bonus,‖ Proceedings, ASEE Annual Conference, San Antonio, TX (2012). 3. M.R. Boelkins and T.J. Pfaff, ―Teaching Calculus Students How to Study,‖ PRIMUS, Vol. 8 No. 3, pp. 253-264 (September 1998). 4. D. S. Brewer and K. Becker, ―Online Homework Effectiveness for Underprepared and Repeating College Algebra Students,‖ Journal of Computers in Mathematics and Science Teaching, Vol. 29, No. 4, pp. 351- 371 (October 2010). 5. K.J. Burch and Y. Kuo, ―Traditional vs. Online Homework in College Algebra,‖ Mathematics and

Conference Session

Civil Engineering Division Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Juan M Caicedo, University of South Carolina

Tagged Divisions

Civil Engineering

frequency of the signal to be 1/10 Hz using the informationfrom the first plot. The reason given by students is that the plot clearly shows one cycle in 10seconds. 3 2 Displacement (mm) 1 0 -1 -2 -3 0 2 4 6 8 10 Time (s) Figure 1. Aliasing AL exercise - Handout

Conference Session

CAD Assessments, Trends and Applications

Collection

2013 ASEE Annual Conference & Exposition

Authors

Srikanth B Pidugu, University of Arkansas, Little Rock; Mamdouh M. Bakr, University of Arkansas, Little Rock; Swaminadham Midturi, University of Arkansas, Little Rock; George P Tebbetts, University of Arkansas, Little Rock

Tagged Divisions

Engineering Design Graphics

assess specific student outcome(s).We selected a first yearcomputer graphics course to satisfy criterion (f) of the associate of science (AS) degree. Per toETAC of ABET, student outcome (f) requires that the program must demonstrate students’ability to apply written, oral, and graphical communication in both technical and non-technicalenvironments; and an ability to identify and use appropriate technical literature.Structure of Computer Graphics Course The first year computer graphics course at UALR is a traditional engineering drawingscourse and the course incorporates the use of modern tools such as AutoCAD. This course is forthree semester credit hours with 30 contact lecture hours and 45 laboratory contact hours in asemester. The

Conference Session

Computer Based Grading and Learning Styles

Collection

2013 ASEE Annual Conference & Exposition

Authors

Keith Alan Hekman, California Baptist University; Mark T Gordon, California Baptist University

Tagged Divisions

Computers in Education

greatlyreduced. Future improvements to the program could increase clarity of the feedback to thestudents and simplify administration of the grading.1 E. K. Hammond, (2013, Jan. 7) “Ekho's Quizzes, Tests And Exams,” [online]. Available: http://www.ekhovideos.com/EKHOSQUIZZTITLES.html,2 R. F. Hamade, M. Y. Jaber, and S. Sikström, “Analyzing CAD competence with univariate and multivariate learning curve models,” Comput. in Ind. Eng., vol. 56, pp. 1510–1518, 2009.3 R. K. Jadhav, “AutoCAD Grading Software Application GUI,” M.S. thesis, Dept. Comput. Sci., San Diego State University, San Diego, CA, 2010.4 G. B. Deo, “AutoCAD grading application: back end,” M.S. thesis, Dept. Comput. Sci. San Diego State University, San Diego, CA

Conference Session

Institutional Perspectives and Boundary Work

Collection

2013 ASEE Annual Conference & Exposition

Authors

Kenneth Reid, Ohio Northern University; Tyler J Hertenstein, Ohio Northern University; Graham Talmadge Fennell, Ohio Northern University; Elizabeth Marie Spingola, Virginia Tech Department of Engineering Education

Tagged Divisions

Liberal Education/Engineering & Society

Experience 2 1 Foundations of Mathematics 3Extra Disciplinary Seminar 3 Development Across the Lifespan 3 15 16FALL - Junior Crd SPRING- Junior CrdStatistics for Scientists & Engineers 3 Engineering Education 1 4Computer Applications 3 Educational Psych & Instr Practices 3Curriculum and Assessment 3 Literacy Acros s Content Areas AYA/MA 3Foundations in Geometry 3 Technical Elective 2 3Technical Elective

Conference Session

Beyond BS: Issues Affecting Graduate Education

Collection

2013 ASEE Annual Conference & Exposition

Authors

Andrea L Welker PE, Villanova University

Tagged Divisions

Civil Engineering

, accessed 3 January 2013.2. ASCE (2008) Civil Engineering Body of Knowledge for the 21st Century, 2nd Edition, ASCE, Reston, VA, 181 p.3. TCAP3 (2003) “ASCE’s Raise the Bar Initiative: Master Plan for Implementation,” Proceedings of the 2003 ASEE Annual Conference and Exposition, Nashville, TN, June 22-25.4. Nelson, J.D., Phillips, M.L., Musselman, C.N., and Conzett, M.J. (2012) “The Raise the Bar Initiative: Charting the Future by Understanding the Path to the Present – Modifying the Model Laws and Rules for Engineering Licensure,” Proceedings of the 2012 ASEE Annual Conference and Exposition, San Antonio, TX, June 10-13.5. Ressler, S. (2012) “The Raise the Bar Initiative: Charting the Future by Understanding the Path to the Present

Conference Session

Curriculum Development

Collection

2013 ASEE Annual Conference & Exposition

Authors

Susan E. Powers, Clarkson University; Jan DeWaters, Clarkson University; Suresh Dhaniyala, Clarkson University; Mary Margaret Monica Small, Clarkson University Office of Educational Partnerships

Tagged Divisions

K-12 & Pre-College Engineering

the century. Figure 1: Sample Project-based Climate Change Module: Understanding Climate Induced Changes in Arctic Ice (developed by W. Armington and S. Powers Clarkson University http://www.clarkson.edu/highschool/climate_ed/modules/index.php ) Page 23.928.5Several modules have a human activity or energy focus and provide opportunities for integratingengineering with science and mathematics content. As an example, the Power Profiler moduleincludes activities associated with energy efficiency and electric power production, including thegeneration of a poster depicting the

Conference Session

Issues in Engineering Technology Education

Collection

2013 ASEE Annual Conference & Exposition

Authors

Amy L Miller, University of Pittsburgh, Johnstown; Jerry W. Samples, University of Pittsburgh, Johnstown

Tagged Divisions

Engineering Technology

the late Page 23.939.21990’s and early 2000’s was already in place and expanding based on what was thought to beprudent.The story begins in 1996, starts with a faculty coalescence program that became a faculty/studentcoalescence program. The program is based on the mentoring model of: I do, you watch. Wedo, you learn. You do, others watch. We all do, we all learn3. The faculty develops into a teamand they pass this on to the students. In 2013 the model has been in place for some years and theresult is a community that functions well – students succeed and the results are increased studentbody, more national recognition, and better

Conference Session

Accreditation, Program Evaluation, and Education Resource's Impact in Latin America

Collection

2013 ASEE Annual Conference & Exposition

Authors

Zenaida Otero Gephardt, Rowan University; Maria M. Larrondo-Petrie, Florida Atlantic University; Mariana Archibold, CONEAUPA

Tagged Divisions

International

. National Academies of Engineering of the National Academies, Educating the engineer of 2020: adaptingengineering education to the new century, National Academies Press, Washington, DC, 2005.8. Licki, E., 2007. Work in progress – Putting engineering pedagogy in Europe and Asia on an international level,Proceedings of the ASEE/IEEE 37th Annual Frontiers in Education Conference, p F2A/19-20, IEEE, New York,NY.9. Blanchard, S., R. O’Neill, J. Sweeney, L. Zidek, S. Komisar, D. Stoppiello, 2010., Re-inventing engineeringeducation one new school at a time, Proceedings of the ASEE Annual Conference and Exposition, ASEE, NewYork, NY.10. Ho, L.H. and A.B.T. Kadir, 2009. Joint accreditation on engineering education for a foreign university campusin Malaysia

Conference Session

Curricular Issues in Computing and Information Technolog Programs

Collection

2013 ASEE Annual Conference & Exposition

Authors

Hoda Baytiyeh, The American university of Beirut

Tagged Divisions

Computing & Information Technology

betweeneach variable and each factor. For items that were loaded under two factors, only thehighest loading was retained. The following variances were reported for the factors:factor1, σ2 = 38.62%; factor2, σ2 = 8.41%; factor3, σ2 = 6.73%; factor4, σ2 = 5.36%; andfactor5, σ2 = 4.81%.After evaluating the items loaded under each factor, factor1 was labelled CommunityInfluence (CI), factor2 Satisfaction (S), factor3 Service Quality (SQ), factor4 Learnability(L) and factor5 Technical Quality (TQ). Five new variables were computed on the basisof the means of the items falling under each factor. To compare the factors as rated byusers, one-way repeated measures ANOVA was applied to the five variables. Repeatedmeasures ANOVA indicated significant

Conference Session

Computers and Learning

Collection

2013 ASEE Annual Conference & Exposition

Authors

Mishael A. Clark, Indiana University Purdue University, Indianapolis; Eugenia Fernandez, Indiana University Purdue University, Indianapolis

Tagged Divisions

Computers in Education

., Drogan, O., & Davis, S. F. (2002). Student use of introductory texts: Comparative survey findings from two universities. Teaching of Psychology, 29, 312-313.2. Abdous, M., Facer, B. R., & Yen, C. J. (2012). Academic effectiveness of podcasting: A comparative study of integrated versus supplemental use of podcasting in second language classes. Computers & Education, 58, 43- 52. doi:10.1016/j.compedu.2011.08.0213. Evans, C. (2008). The effectiveness of m-learning in the form of podcast revision lectures in higher education. Computers & Education, 50, 491-498. doi:10.1016/j.compedu.2007.09.0164. Fernandez, V., Simo, P., & Salan, J. M. (2009). Podcasting: A new technological tool to facilitate good practice

Conference Session

Thermal Sciences

Collection

2013 ASEE Annual Conference & Exposition

Authors

John Jackman, Iowa State University; Stephen B. Gilbert, Iowa State University; Gloria Starns, Iowa State University; Mathew Hagge, Iowa State University; LeAnn E Faidley, Wartburg College

Tagged Divisions

Mechanical Engineering

Page 23.984.3Engineering strain, ε, is ratio of the change in an object’s length to the object’s initial length andis given by,where, .L0 is the original length of the object and Lfinal is the object’s final length. For an object thatstarted with a length of 3 cm and was determined to have a final length of 1.25”, what would bethe value of the engineering strain?Problem 2 HorsepowerA 2405 lb Yaris has run out of gas 1/4 mile from the nearest gas station. By pushing the car, itaccelerates from a velocity of 0 m/s to 1 m/s in 1 minute. After the first minute, the car moves ata constant velocity. You can assume that the rolling resistance of the tires is negligible and thatthe road is

Conference Session

Computers in Education Division - General Technical Session 2

Collection

2013 ASEE Annual Conference & Exposition

Authors

Raghu Echempati, Kettering University; Theodore Paul Dani; Ankita Sahu; Nathan Marshall LeBlanc

Tagged Divisions

Computers in Education

output slider link 6. As shown in Figures 5 through7, the results across all three are the same. Output Slider Velocity Versus Time 300 200 100 0 -1000.000 0.150 0.300 0.450 0.600 v6 (mm/s) -200 -300 -400 -500 -600 -700 time (sec) Figure 5. Excel Result for Output Slider Velocity versus Time Figure 6. Unigraphics NX7.5 Result for Output Slider Velocity versus Time

Conference Session

Software Applications in ET Programs

Collection

2013 ASEE Annual Conference & Exposition

Authors

Nikunja Swain P.E., South Carolina State University; Wanda Moses, South Carolina State University; James Allen Anderson P.E., South Carolina State University; Cynthia T Davis, SC State University

Tagged Divisions

Engineering Technology

Carolina and ETAC of ABET reviewer for Electrical Engineering Technology and Computer Engineering Technology.Ms. Wanda Moses, South Carolina State UniversityDr. James Allen Anderson P.E., South Carolina State UniversityMs. Cynthia T Davis, SC State University EDUCATION 1979 B. S. Magna Cum Laude, Mathematics Education Benedict College, Columbia, South Carolina 1982 M. S. Computer Science Atlanta University, Atlanta Georgia 1992 - 1996 Additional Study, Mathematics University of South Carolina, Columbia, South Carolina South Carolina State University, Orangeburg, South Carolina PROFESSIONAL EXPERIENCE 1990 – Present Instructor of Computer Science South Carolina State University Orangeburg, South Carolina 1987

Conference Session

NSF Grantees' Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Matthew W. Ohland, Purdue University, West Lafayette; Misty L. Loughry, Georgia Southern University; Richard A. Layton, Rose-Hulman Institute of Technology; rebecca lyons; Daniel M. Ferguson, Purdue University, West Lafayette; Kyle Heyne; Tripp Driskell, Institute of Simulation and Training; David Jonathan Woehr, University of North Carolina Charlotte; Hal R Pomeranz; Eduardo Salas, University of Central Florida; Andrew Caleb Loignon, UNC - Charlotte; Shirley C Sonesh, UCF

Tagged Topics

NSF Grantees Poster Session

-based system for assigning members to teams using instructor- specified criteria. Advances in Engineering Education, 2 (1), 1-28. 3. Verleger, M., Diefes-Dux, H., Ohland, M. W., Besterfield-Sacre, M., & Brophy, S. (2010). Challenges to Informed Peer Review Matching Algorithms. Journal of Engineering Education, 99(4), 397 – 408. 4. Rentsch, J.R., Delise, L.A., Salas, E., & Letsky, M.P. (2010). Facilitating knowledge building in teams: Can a new team training strategy help? Small Group Research, 41(5), 1-19. 5. Zhang, B., & Ohland, M. W. (2009). How to assign individualized scores on a group Page 23.1071.5

Conference Session

Software Engineering Outreach: Industry, K-12

Collection

2013 ASEE Annual Conference & Exposition

Authors

Massood Towhidnejad, Embry-Riddle Aeronautical Univ., Daytona Beach; Thomas B Hilburn, Embry-Riddle Aeronautical Univ., Daytona Beach; Richard E Fairley, Software and Systems Engineering Associates (S2EA)

Tagged Divisions

Software Engineering Constituent Committee

GSwE2009 Core Body of Knowledge (CBOK).• An architectural framework that supports a flexible curriculum implementation by allowing each university to fashion a program guided by its own specialties and culture. GSwE2009 Curriculum ArchitectureThe student outcomes guided and controlled the development of both the structure and content ofthe GSwE2009 curriculum. The structure of the GSwE2009 curriculum is represented in thearchitectural model depicted in Figure 1. It identifies, via the CBOK, the minimal material thatall programs should include and makes provisions for each institution to develop its owndistinctive program(s). The curriculum architecture is compatible with existing master‘sprograms, for which course and curriculum data are

Conference Session

Laboratory Development in ECE I

Collection

2013 ASEE Annual Conference & Exposition

Authors

Wagdy H Mahmoud, University of the District of Columbia; Nian Zhang, University of the District of Columbia

Tagged Divisions

Electrical and Computer

Dai; Yanmei Wang, “NLMS Adaptive Algorithm Implement Based on FPGA,” Proceedings of the 3rd International Conference on Intelligent Networks and Intelligent Systems (ICINIS), pp. 422- 425, 2010.10. L.D. Van and W.S. Feng, “An efficient architecture for the DLMS adaptive filters and its applications”, IEEE Trans. Circuits Syst. Vol. 48, No. 4, pp. 359-366, April 2001.11. Hesam Ariyadoost, Yousef S. Kavian, and Karim Ansari-As, “Performance Evaluation of LMS and DLMS Digital Adaptive FIR Filters by Realization on FPGA,” Int. J Sci. Emerging Tech., Vol. 1 No. 1 September, 2011.12. Douglas, S.C., “Fast exact filtered-X LMS and LMS algorithms for multichannel active noise control, “Proceedings of IEEE International Conference on

Conference Session

Civil Engineering Division Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Ryan N. Fries P.E., Southern Illinois University, Edwardsville; Brad Cross, Southern Illinois University, Edwardsville; Mark P. Rossow, Southern Illinois University, Edwardsville; Daniel M Woehl, Southern Illinois University Edwardsville

Tagged Divisions

Civil Engineering

,Anytime.” Journal of Engineering Education. 131-146.2 Mackey, K. R.M. and Freyberg, D.L. (2010). “The Effect of Social Presence on Affective and CognitiveLearning in an International Engineering Course Taught via Distance Learning.” Journal of EngineeringEducation. 23-34.3 Sweller, J. (1999). Instructional design in technical areas. Pub: Australian Council for EducationalResearch, Victoria, Australia.4 Steif, P. and Dollar, A. (2007). “An Interactive Web-Based Statics Course,” Proceedings of the AnnualAmerican Society of Engineering Education Annual Conference and Exposition, Honolulu, HA, June.5 Peercy, P. S. and Cramer, S. M. (2011). “Refining Quality in Engineering Education Through HybridInstruction.” Guest Editorial. Journal of

Conference Session

Computers in Education Division - General Technical Session 1

Collection

2013 ASEE Annual Conference & Exposition

Authors

Kellie Grasman, Missouri University of Science & Technology; Dan Cernusca, Missouri University of Science & Technology; Suzanna Long, Missouri University of Science & Technology

Tagged Divisions

Computers in Education

-enabled learning contexts, technology-mediated problem solving, applications of dynamic modeling for learning of complex topics, and the impact of epistemic beliefs on learning with technology.Dr. Suzanna Long, Missouri University of Science & Technology Dr. Suzanna Long is an Assistant Professor of Engineering Management and Systems Engineering (EMSE) at Missouri S&T and holds a Ph.D. and M.S. in engineering management, B.S. in physics and in history (University of Missouri-Rolla) and an M.A. in history (University of Missouri-St. Louis). Her research focuses on sustainable infrastructure systems, including sustainability in global supply chains and transportation systems. She is a recognized expert in

Conference Session

Global Competency and What Makes a Successful Engineer

Collection

2013 ASEE Annual Conference & Exposition

Authors

Holt Zaugg, Brigham Young University; Alan R Parkinson, Brigham Young University; Spencer P. Magleby, Brigham Young University; Randall Davies, Brigham Young Univeristy

Tagged Divisions

International

Communication Quarterly, 69(1), 25-49, 2006.[4] L. Hasler-Waters & W. Napier, “Building and Supporting Student Team Collaboration in the Virtual Classroom”, Quarterly Review of Distance Education, 3(3), 345-352, 2002.[5] T. U. Daim, A. Ha, S. Reutiman, B. Hughes, U. Pathak, W. Bynum, & A. Bhatla, “Exploring the communication breakdown in global virtual teams”, International Journal of Project Management. Elsevier Ltd and IPMA, 2011. doi:10.1016/j.ijproman.2011.06.004.[6] N. Zakaria, A. Amelinckx, & D. Wilemon, “Working Together Apart? Building a Knowledge-Sharing Culture for Global Virtual Teams”. Creativity and Innovation Management, 13(1), 15-29, 2004. doi:10.1111/j.1467- 8691.2004.00290.x[7] L

Conference Session

Two-Year College Division Transfer Topics Part II

Collection

2013 ASEE Annual Conference & Exposition

Authors

Dan G. Dimitriu, San Antonio College; Jerry O'Connor, San Antonio College

Tagged Divisions

Two Year College Division

personnel dedicated full-time to the MESA Center at our college havebeen supported by grants from the National Science Foundation or Department of Education, andthis support has been essential to implement the full spectrum of program components. TheMESA model includes learning community clusters of linked math, science and engineeringclasses, academic enrichment workshops to supplement student learning, tutoring and mentoringassistance, participation in national science and engineering related organizations, opportunitiesfor NSF S-STEM and other scholarships, and an Industry Advisory Board.MESA Center activities include:1) Development of individual student academic plans for MESA students;2) Assistance in applying for S-STEM or other science and

Conference Session

Computing in the classroom

Collection

2013 ASEE Annual Conference & Exposition

Authors

B. K. Hodge, Mississippi State University; Govinda Mahajan, Mississippi State Univeristy

Tagged Divisions

Mechanical Engineering

) ρwhere K is the bulk modulus of the fluid and ρ is the density. Water at standard temperaturepossesses a speed of sound of near 5000 ft/s—much higher than the speed of sound in air atstandard temperature, about 1100 ft/s. For fluid in a confined area, such as a pipe, the speed ofsound or the water hammer wave velocity is as = K (2) ⎛ K ⎞ ρ ⋅ ⎜1 + ⋅ c⎟ ⎝ E ⎠where E is Young’s modulus of the pipe material and “c” is a constant that depends on the pipe’selastic properties and constraints. For a schedule 40 6-inch nominal pipe, the water hammerwave velocity is about 4400 ft/s

Conference Session

Computers in Education (CoED) Engineering Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Gregory Augustus Krudysz, Georgia Institute of Technology

Tagged Divisions

Computers in Education

withconcept mapping”, Science, Vol. 331, No. 6018 pp. 772-775 , Feb. 20113. D.R. Woods, “An evidence-based strategy for problem solving,” Journal of Engineering Education, Washington,vol. 89, no. 4, pp. 443–460, 2000.4. K. VanLehn, S. Siler, C. Murray, T. Yamauchi and W. B. Baggett, “Why Do Only Some Events Cause LearningDuring Human Tutoring?”, Cognition and Instruction, Vol. 21, No. 3, pp. 209-249, 20035. T. P. Novikoff, J. M. Kleinberg and S. H. Strogatz, “Education of a Model Student,” Proc. Natl. Acad. Science,23 Jan. 2012.6. F. N. Dempster, "Spacing Effects and Their Implications for Theory and Practice", Educational PsychologyReview, 1989 Vol 1, Issue 4, pg. 3097. Bloom, B. S. (1984), 'The 2 Sigma Problem: The Search for Methods of Group