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

support of thisproject (Award ID 1138235).References1. Mukhopadhyay, S.M. Nanoscale Multi-functional Materials: Science & Applications, Wiley, 2011.2. Roco, M.C. J. Nanopart. Res. 2011, 13, 427-445.3. Kim, J. Y.; Voznyy, O.; Zhitomirsky, D.; and Sargent,E.H. 25th Anniversary Article: Colloidal Quantum Dot Materials and Devices: A Quarter-Century of Advances, Adv. Mater. 2013, 25, 4986–50104. Gao, X.; Cui, Y.; Levenson, R.M.; Chung, L.W.K.; Nie, S. In vivo cancer targeting and imaging with semiconductor quantum dots, Nature Biotechnology. 2004, 22(8), 969-9765. Jones, A.; Verlinden, N.; Quimby, R. Optical properties of quantum dots: An undergraduate Physics Laboratory, http://www.wpi.edu/Pubs/E-project/Available/E-project-042607

Conference Session

Professional Development and Advising for Graduate Students

Collection

2014 ASEE Annual Conference & Exposition

Authors

Katy Luchini-Colbry, Michigan State University; Theresa Lynn Gonzalez

Tagged Divisions

Graduate Studies

andteaching practices, such as providing effective feedback for students; developing a teachingportfolio; and the academic job search. Throughout Spring 2014, we will continue to requestfeedback from students in order to refine our ongoing efforts to support students’ academic,personal and professional success.References 1. Longfield A, Romas J, Irwin JD. The Self-worth, Physical and Social Activities of Graduate Students: A Qualitative Study. Coll Stud J. 2006;40(2):282–92.2. Fogg P. Grad-School Blues. The Chronicle of Higher Education [Internet]. 2009 Feb 20 [cited 2013 Oct 17]; Available from: http://chronicle.com/article/Grad-School-Blues/295663. Patton S. Colleges Struggle to Respond to Graduate Students in Distress. The Chronicle

Conference Session

Computing in the First Year

Collection

2014 ASEE Annual Conference & Exposition

Authors

Sally J. Steadman, University of South Alabama; Gail D. Jefferson, University of South Alabama; Tom G. Thomas, University of South Alabama; Kuang-Ting Hsiao, University of South Alabama

Tagged Divisions

Computers in Education

positive vertical direction is 5 points. If you pass one line more than once, no additional points are givenIdentify Ball  If your robot can identify one blue ball to pass through 10 points. If your robot can identify 2 consecutive blue balls to pass through 20 points.Navigate Maze  If your robot successfully navigates the maze – 20 pointsStop at Edge  The style in which you robot stops at the edge is between 0-20 points.  If your robot falls over the edge – s=0; if your robot stops “short” or has an appendage over the edge – s=0.5; if your robot stops at the edge – s=1  Style*s is the “stop at the edge” scoreTime  You will be assigned a t value, based on the relative speed of

Conference Session

Use of Technology for Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Derrick Robinson, Virginia State University; Pallant Ramsundar, Virginia State University; Chandan B Samantaray, Virginia State University

Tagged Divisions

Manufacturing

vertical,horizontal, or diagonal edges. Edge detection is a difficult task in noisy images, since both theedges and noise hold high- frequency content. Efforts to reduce the noise result in unclear anddistorted edges. Techniques used on noisy images are typically larger in scope; therefore, theycan gather enough data to discount localized noisy pixels. An example of edge detectionmethodology is given by the function:BW = Edge (I) ………………………. (1)This function takes a gray scale or a binary image I as its input, and returns a binary image BW Page 24.185.7of the same size as I, with 1's where the function finds edges in I and 0

Conference Session

Spatial Ability & Visualization Training II

Collection

2014 ASEE Annual Conference & Exposition

Authors

Mark E. Snyder, Illinois Institute of Technology; Matthew Spenko, Illinois Institute of Technology

Tagged Divisions

Engineering Design Graphics

facilitate the transferability of successfulpractices to other institutions that want to increase student’s spatial visualization skills.1. Carter, C.S., Larussa, M.A., and Bodner, G.M. (1987). A Study of Two Measures of SpatialAbility as Predictors of Success in Different Levels of General Chemistry. Journal of Researchin Science Teaching, 24(7), 645-657.2. Maloney, E.A., Waechter, S., Risko, E.F., and Fugelsand, J.A. (2012). Reducing the SexDifference in Math Anxiety: The Role of Spatial Processing Ability. Learning and IndividualDifferences. 22, 380-384.3. Sorby, S., Casey, B., Veurink, N., and Dulaney, A. (2012). The Role of Spatial Training inImproving Spatial and Calculus Performance in Engineering Students. Learning and IndividualDifferences

Conference Session

Tricks of the Trade

Collection

2014 ASEE Annual Conference & Exposition

Authors

Jumoke Oluwakemi Ladeji-Osias, Morgan State University; Anita M. Wells, Morgan State University

Tagged Divisions

New Engineering Educators

 Managing Challenging Classroom Situations,” Currents in Teaching and Learning, vol. 1, no. 2, pp. 4­18, Spring 2009.7. D. McCabe, “Classroom Cheating Among Natural Science and Engineering Majors,” Science and Engineering Ethics, vol. 3, pp. 433­445 , 1997.8. H. J. Passow, M. J. Mayhew,  C. J. Finelli, T. S. Harding, and D. D. Carpenter, “Factors Influencing Engineering Students’ Decisions to Cheat by Type of Assessment,” Research in Higher Education, vol. 47, no. 6, pp. 643­684, 2006. DOI: 10.1007/s11162­006­9010­y9. C. R. Nordstrom, L. K. Bartels, & J. Bucy, “Predicting and curbing classroom incivility in higher education,” College Student Journal, vol. 43, no. 1, pp. 74­85, 2009.10. M. A. Kitzrow, “The

Conference Session

FPD 11: Culminating Considerations

Collection

2014 ASEE Annual Conference & Exposition

Authors

John A. Mirth, Rose-Hulman Institute of Technology; John P Iselin, University of Wisconsin, Platteville

Tagged Divisions

First-Year Programs

their future studies.References1. Courter, S. S., Millar, S. B. and Lyons, L. (1998), From the Students' Point of View: Experiences in a Freshman Engineering Design Course. Journal of Engineering Education, 87: 283–288. doi: 10.1002/j.2168- 9830.1998.tb00355.x2. Dym, C. L. (1994), Teaching Design to Freshmen: Style and Content. Journal of Engineering Education, 83: 303–310. doi: 10.1002/j.2168-9830.1994.tb00123.x3. Burton, J. D. and White, D. M. (1999), Selecting a Model for Freshman Engineering Design. Journal of Engineering Education, 88: 327–332. doi: 10.1002/j.2168-9830.1999.tb00454.x4. Dally, J. W. and Zhang, G. M. (1993), A Freshman Engineering Design Course. Journal of Engineering Education, 82: 83–91. doi: 10.1002/j.2168

Conference Session

College Industry Partnerships Division Technical Session 2

Collection

2014 ASEE Annual Conference & Exposition

Authors

Karen D Alfrey, Indiana University Purdue University, Indianapolis; Stephen Hundley, Indiana University Purdue University, Indianapolis; Terri L. Talbert-Hatch, Indiana University Purdue University, Indianapolis; David J. Russomanno, Indiana University-Purdue University Indianapolis

Tagged Divisions

College Industry Partnerships

Scholars in Engineering: Promoting Student Success through Cohort-Building and Industrial EngagementIntroductionThe National Science Foundation (NSF) Scholarships in Science, Technology, Engineering andMathematics (S-STEM) program provides grants to institutions of higher education to supportscholarships for academically well-prepared undergraduate students with demonstrated financialneed. The goal of the program is to contribute to the number of well-prepared scientists andengineers in the workforce by increasing the number of students with financial need who enterthe STEM workforce after completing a degree program in science or engineering1,2.In spring 2012, we received an S-STEM grant to establish the “CLEAR Scholars in Engineering

Conference Session

Embedded Systems and Mobile Computing

Collection

2014 ASEE Annual Conference & Exposition

Authors

Cory Brozina, Virginia Tech; David B. Knight, Virginia Tech Department of Engineering Education

Tagged Divisions

Computing & Information Technology

Paper ID #9264Credentialing MOOCs: A Case StudyMr. S. Cory Brozina, Virginia Tech Cory Brozina is a PhD student in the Engineering Education department at Virginia Tech. His research is in educational technology and data analysis.Dr. David B Knight, Virginia Tech Department of Engineering Education David Knight is an Assistant Professor in the Department of Engineering Education and affiliate faculty with the Higher Education Program at Virginia Tech. His research focuses on student learning outcomes in undergraduate engineering, interdisciplinary teaching and learning, organizational change in colleges and universities

Conference Session

Assessment of Learning in ECE

Collection

2014 ASEE Annual Conference & Exposition

Authors

Rami Jubrail Haddad, Georgia Southern University; Youakim Kalaani, Georgia Southern University

Tagged Divisions

Electrical and Computer

m 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 xa am _0 _0 _0 _0 _0 _0 _0 _0 _0 _1 _1 _1 _1 _1 _1 _1 _1 _1 _1 E Ex ST S T ST ST ST ST S T ST ST ST ST S T ST ST ST ST S T ST ST st- e- Page 24.649.11 Po Pr Figure 10 – Main Effect Plot Illustrating the Effect of Students and

Conference Session

Instrumentation Division Technical Session 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

James Andrew Smith P.Eng., Ryerson University

Tagged Divisions

Instrumentation

parameter sweep could be performed in any number of software packages, including Matlab or a PSPICE variant. What distinguishes Maple and MapleSim from these other programs is the ability to generate the underlying equations of the system. This is a critically important feature. MapleSim contains an “attach equation” option which populates a Maple worksheet with live interactive hooks to the MapleSim file. Three equations are created by the worksheet which describe the mathematical rules governing the system: ⎧ D _ Goff D _ off (t) ⎫ Vbatt − OutputVolt(t) − D _ s(t)⋅ ⎨ ⎬ − D _ Goff ⋅ D _VKnee = 0

Conference Session

Computer Programming and Simulation

Collection

2014 ASEE Annual Conference & Exposition

Authors

John R. Baker, University of Kentucky

Tagged Divisions

Computers in Education

OK, but problems with phase angles on plots in Case 5. D OK OK OK E OK, but natural frequencies Results calculated over a freq. OK listed in rad/s instead of Hz. range that differs from user input. Also, node numbering problem in the printed mode shapes. F Program is actually a separate Program is actually a separate OK script for each test case; user script for each test case; user input input is ignored

Conference Session

Biomedical Division Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Raquel Perez Castillejos, New Jersey Institute of Technology

Tagged Divisions

Biomedical

Paper ID #10294NSFREU Site on Neural Engineering: Aiming at High Research Standards(work in progress)Dr. Raquel Perez Castillejos, New Jersey Institute of Technology Dr. Raquel Perez-Castillejos is an assistant professor of Biomedical Engineering at the New Jersey Insti- tute of Technology (NJIT). Her research (www.tissuemodels.net) focuses on the development of tools for cell and tissue biology using micro- and nanotechnologies. Raquel obtained her Ph.D. with the National Center of Microelectronics in Barcelona. She was a postdoctoral fellow at the Laboratory of Miniaturized Systems (Univ. S˜ao Paulo, Brasil) and later at

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

). FreeMat. Available: http://freemat.sourceforge.net/index.html#home[8] Simtk. (1-Jan-2014). OpenSim. Available: https://simtk.org/home/opensim[9] J. A. Reinbolt, A. Seth, and S. L. Delp, "Simulation of human movement: applications using OpenSim," Procedia IUTAM, vol. 2, pp. 186-198, 2011.[10] A. Seth, M. Sherman, J. A. Reinbolt, and S. L. Delp, "OpenSim: a musculoskeletal modeling and simulation framework for in silico investigations and exchange," Procedia IUTAM, vol. 2, pp. 212-232, 2011.[11] S. L. Delp, F. C. Anderson, A. S. Arnold, P. Loan, A. Habib, C. T. John, et al., "OpenSim: Open-Source Software to Create and Analyze Dynamic Simulations of Movement," Biomedical Engineering, IEEE Transactions

Conference Session

Mechanical Division Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Goodarz Ahmadi, Clarkson University

Tagged Divisions

Mechanical Engineering

particles are fist deposited on a test section and placed in theresuspension wind tunnel. A microscope is used to take pictures of the particles on thetest section. The air velocity in the wind tunnel is gradually increased from 1 m/s toabout 15m/s in steps. After each increase of the airflow velocity, some particles areremoved, and a picture of the particles still on the test section is taken. By counting the Page 24.969.5number of particles of different sizes remaining on the test section, the critical shear 4velocity for detachment of different size particles are measured. Additional experimentalstudies

Conference Session

Preparing Future Educators

Collection

2014 ASEE Annual Conference & Exposition

Authors

Stephanie Marie Kusano, Virginia Tech; Homero Gregorio Murzi, Virginia Polytechnic Institute and State University; Prateek Shekhar, Virginia Tech; Timothy Kinoshita, Virginia Polytechnic Institute and State University; Christina Seimetz Wade, Virginia Tech; Richard M. Goff, Virginia Tech Department of Engineering Education; Debarati Basu, Virginia Tech

Tagged Divisions

Graduate Studies

weeks), that met once a week for 2hours and 45 minutes. I. Course Objectives: In particular, having successfully completed the course, students will be able to: a) Create organized and theoretically effective syllabi b) Articulate correspondences and differences between education theory and education practice c) Perform peer reviews of other instructors and constructively discuss their performance d) Productively reflect on teaching practices to improve student learning and class environment e) Draw on classroom experiences to develop useful formative assessments f) Develop a teaching portfolio that articulates and illustrates the student´s teaching philosophy II. Syllabus: Following are the

Conference Session

Topics Enhancing ET Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Vladimir Genis, Drexel University (Tech.); Siddharth Vyas, California Polytechnic State University, San Luis Obispo

Tagged Divisions

Engineering Technology

been entered in the required cells, students enter thereference values of the sound velocity in water in the designated cells. Percentage errors willautomatically be calculated for values of sound velocity in water obtained by the studentsexperimentally. Through Transmission: Two Transducers Frequency Ref. Velocity Velocity m/s % Error Velocity m/s % Error Velocity m/s % Error Average Average in MHz m/sec 50 mm 50 mm 100 mm 100 mm 150 mm 150 mm Velocity m/sec % Error 2.25 3.5 5 Averages Figure 9. Spreadsheet for calculations of errors of the experimental data. 5. SummaryThe Excel macros as an assisting tool for

Conference Session

Engineering Physics & Physics Division Technical Session 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Robert A. Ross, University of Detroit Mercy; E. Prasad Venugopal, University of Detroit Mercy; Gary P. Hillebrand, University of Detroit Mercy; Meghann Norah Murray; Matthew Gonderinger, Wayne State University, University of Detroit Mercy

Tagged Divisions

Engineering Physics & Physics

1,11,20 10 7,16,25 11 6,15,24,28,29 Table I DIRECT question number(s) corresponding to the relevant learning objective.Implementation & Results of AssessmentBeginning with the winter 2004 term and continuing through the fall 2013 term, we administeredthe DIRECT assessment to all of the second semester general physics laboratory students,(N=738) at the end of the semester. This group of students includes 284 students taking thecalculus-based physics sequence and 454 students taking the algebra-based sequence. Forpurposes of comparison, the sample size in the original publication of the DIRECT

Conference Session

Manufacturing and Machine Component Design

Collection

2014 ASEE Annual Conference & Exposition

Authors

Steven W. Beyerlein, University of Idaho, Moscow; Edwin M. Odom, University of Idaho, Moscow; Jay Patrick McCormack, Rose-Hulman Institute of Technology; Dan Cordon, University of Idaho, Moscow

Tagged Divisions

Mechanical Engineering

quest. We also hope to use the work reported hereas a proof-of-concept for campus IT decision-makers, convincing them of the need for a campus-based wiki server that is under local control, has more administrative options for opening/closingediting groups, communicates our campus brand, and is without any embedded advertising.Despite these changes we are committed to keeping contents of the wiki publicly available asthis has proven to be a valuable tool for networking in the design for manufacturing community.References1. ASEE, “Transforming Undergraduate Education in Engineering, Phase I: Synthesizing and Integrating Industry Perspectives”, Workshop Report, May 2013.2. Odom, E., Beyerlein, S., Porter, C., Gomez, A., Gallup L., “Internet

Conference Session

Potpourri

Collection

2014 ASEE Annual Conference & Exposition

Authors

Reza Sanati-Mehrizy, Utah Valley University; Afsaneh Minaie, Utah Valley University; Ruhul H. Kuddus, Utah Valley University; Ali Sanati-Mehrizy; Paymon Sanati-Mehrizy, Icahn School of Medicine at Mount Sinai

Tagged Divisions

Computing & Information Technology

effects of climate change on public health in my research agenda. My research also involve data mining.Dr. Ali Sanati-Mehrizy Dr. Ali Sanati-Mehrizy is a Pediatric resident physician at Rutgers University - New Jersey Medical School in Newark, NJ. He is a graduate of the Milton S. Hershey Pennsylvania State University College of Medicine. He completed his undergraduate studies in Biology from the University of Utah. His research interests are varied and involve pediatric hematology and oncology as well as higher education curricula, both with universities and medical schools.Mr. Paymon Sanati-Mehrizy, Icahn School of Medicine at Mount Sinai Paymon is currently a medical student at the Icahn School of Medicine at Mount

Conference Session

K-12 Outreach and Out-of-School Time Engineering Programming and Research

Collection

2014 ASEE Annual Conference & Exposition

Authors

Anca L. Sala, Baker College, Flint; Pattabhi Sitaram, Baker College, Flint; Tom Spendlove, Baker College, Flint

Tagged Divisions

K-12 & Pre-College Engineering

engineering, their teamworkand presentation skills, the modules taught, the camp schedule, and suggestions forimprovement. The possible answers to both survey questions were Strongly Agree, Agree,Neutral, Disagree, and Strongly Disagree.The pre-camp survey questions were as follows:1) I plan to go to college when I finish high school.2) I am interested in a specific college(s).3) I have a specific career goal(s).4) I am interested in a career in engineering/4-year program.5) I am interested in a career in technology/2-year program.The figure below shows students responses to the pre-camp survey. The responses illustrate thatthis was a very focused group of students, with a large majority planning to enroll in college(96%) and having very clear goals

Conference Session

Distance Learning in Engineering Technology

Collection

2014 ASEE Annual Conference & Exposition

Authors

Brian A. Alenskis, Purdue University, Richmond, Ind.

Tagged Divisions

Engineering Technology

textbook. Often staticsinstructors will intentionally encourage their students to refer to it for additional assistance.Some instructors have chosen to replace the course textbook outright with OLI’s interactivestatics content. One well executed approach by S. A. Sorby and C. R. Vilmann at MichiganTechnological University3, fully replaced the lectures with OLI resources and a weekly, one-hourquestion and answer classroom session. Papadopoulos and Roman4 have explored its potentialuse with bilingual students. OLI has proven to be a versatile learning resource for developingstatics instruction.After concluding that OLI incorporated excellent learning research and interactive features, weselected its Engineering Statics course for use within the

Conference Session

WIED: Curricular Undergraduate Student Programs

Collection

2014 ASEE Annual Conference & Exposition

Authors

Alistar Erickson-Ludwig, Drexel University (Eng.); Alisa Morss Clyne, Drexel University (Eng.)

Tagged Divisions

Women in Engineering

. (2010). Why so few? Women in science, technology, engineering, and mathematics. AAUW. Washington, D.C. 3. Eccles, J. S. (2007). Where Are All the Women? Gender Differences in Participation in Physical Science and Engineering. In S. J. Ceci, W. M. Williams (Eds.) , Why aren't more women in science?: Top researchers debate the evidence (pp. 199-210). American Psychological Association. 4. Reichert, M., & Absher, M. (1997). Taking another look at educating African American engineers: The importance of undergraduate retention. Journal of Engineering Education, 86(3), 241–253. 5. Murphy, T., Gaughan, M., Hume, R., & Gordon Moore Jr., S. (2010). College graduation rates for minority students in a

Conference Session

Software Engineering Constituent Committee Division Technical Session 3

Collection

2014 ASEE Annual Conference & Exposition

Authors

Robert W. Hasker, Milwaukee School of Engineering; Yan Shi, University of Wisconsin - Platteville

Tagged Divisions

Software Engineering Constituent Committee

sequence diagrams.The tool is available to instructors at other institutions via the web. Eventually, it should bepossible for other instructors to set up assignments using the website, but currently assignmentsmust be sent to us by email. Contact the first author at http://member.acm.org/∼hasker for helpin setting up an assignment.References [1] A. Abran, J. W. Moore, P. Bourque, and R. Dupuis, editors. Guide to the Software Engineering Body of Knowledge. IEEE Computer Society, 2004. Page 24.1157.10 [2] M. Auer, T. Tschurtschenthaler, and S. Biffl. A flyweight UML modelling tool for software development in heterogeneous

Conference Session

NSF Grantees’ Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Michele Miller, Michigan Technological University; Sheryl A. Sorby, Ohio State University; Apurva Anil Kambale, Michigan Technological University; Megan Farrish, Michigan Technological University

Tagged Topics

NSF Grantees Poster Session

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

Page 24.1182.5This material is based upon work supported by the National Science Foundation under grantnumber EEC-1024628.References1. Guglielmino, L. M., Development of the self-directed learning readiness scale, Doctoral dissertation, University of Georgia, Dissertation Abstracts International, Vol. 38, No. 6467A, 1978.2. Hoban J. D., Lawson S. R., Mazmanian P. E., Best A. M., and Seibel H. R., “The Self-Directed Learning Readiness Scale: a factor analysis study,” Med Educ, Vol. 39, No. 4, pp. 370–379, 2005.3. J. Barsch, Barsch Learning Style Inventory, New York: Academic Therapy Publications, 1996.4. R. M. Felder and L. K. Silverman, "Learning and teaching styles in engineering education," Engr. Education, Vol. 78, No. 7

Conference Session

Continuing Professional Development Division Technical Session 2

Collection

2014 ASEE Annual Conference & Exposition

Authors

Geoffrey L Herman, University of Illinois, Urbana-Champaign; Leslie Crowley, University of Illinois, Urbana-Champaign

Tagged Divisions

Continuing Professional Development

programtargeting the improvement of undergraduate engineering education. Faculty proposed large-scalerenovations of a specific undergraduate course or closely-related group of courses, with the goalof improving student engagement, learning outcomes, and faculty teaching experiences.Alternatively, faculty could propose to develop teaching technologies that would facilitate theimplementation of evidence-based teaching practices. Priority in funding was given to projectsthat would impact large numbers of students or provide critical interventions early in students’learning careers.“Live deep, not fast,” is an admonition coined in the early 1900’s by literature professor, critic,and editor Henry Seidel Canby 1. Faculty participating in SIIP were invited to

Conference Session

Gender Perceptions and Girls in K-12 Engineering and Computer Science

Collection

2014 ASEE Annual Conference & Exposition

Authors

Shreya Kumar, Michigan Technological University; Linda M. Ott, Michigan Technological University

Tagged Divisions

K-12 & Pre-College Engineering

essentialto the success of this program. These include the Center for Pre-college Outreach, CorporateRelations, and the Admissions Office.7. References1 Zweben, S., Bizot, B., 2013, 2012 Taulbee Survey Strong Increases in Undergraduate CS Enrollment and Degree Production; Record Degree Production at Doctoral Level, Computing Research News, pp. 11-60.2 Hartmann, T., Klimmt, C., 2006, Gender and computer games: Exploring females’ dislikes, in Journal of Computer ‐Mediated Communication 11, 910-931.3 Colley, A., 2003, Gender differences in adolescents' perceptions of the best and worst aspects of computing at school, in Computers in Human Behavior 19, 673-682.4 Kiesler, S., Sproull, L., Eccles, J. S., 2002, Pool

Conference Session

K-12 Computer Science and Computational Thinking Initiatives

Collection

2014 ASEE Annual Conference & Exposition

Authors

Alfredo J. Perez, Northern New Mexico College; Ivan Lopez Hurtado, Northern New Mexico College; Jorge Crichigno, Northern New Mexico College; Raul R. Peralta, Northern New Mexico College; David Torres, Northern New Mexico College

Tagged Divisions

K-12 & Pre-College Engineering

pattern is discovered, the next step is the generalization and abstraction of the pattern.The skill encompasses the ability to filter information to solve a problem and re-defining it ingeneral terms using variables and/or formulas so problems that are similar in nature can besolved in the same way. For the example shown above (the sequence of numbers) the patterngeneralization and abstraction step comprises taking the sequence and converting it into arecurrence relation. The formula that abstracts the sequence can be written as S(i) = S(i-1) + 3 *i where i is a positive integer and S(0) = 1.D. Algorithm DesignThe last skill in Computational Thinking is the development and/or the description of thesolution of a problem as a recipe/algorithm

Conference Session

Engineering Faculty: Interactions, Influences and Issues

Collection

2014 ASEE Annual Conference & Exposition

Authors

Marie H. Magnell, KTH Royal Institute of Technology; Lars Allan Geschwind, KTH Royal Institute of Technology; Lena B. Gumaelius, KTH, Department of Learning; Anette Jepsen Kolmos, Aalborg University

Tagged Divisions

Educational Research and Methods

: ideals and practice inresearch oriented universities, in press Higher Education Research and Development.2 Christensen, S. H., & Erno-Kjolhede, E. (2011). Academic drift in Danish professional engineering education. Page 24.594.12Myth or reality? Opportunity or threat?, European Journal of Engineering Education, 36, 3, 285-299.3 Harwood, J. (2010). Understanding Academic Drift: On the Institutional Dynamics of Higher Technical andProfessional Education, Minerva, 48, 413-427.4 Kyvik, S. (2009). The Dynamics of Change in Higher Education: Expansion and Contraction. HigherEducation Dynamics 27, Springer, Netherlands.5 Jorgensen, U

Conference Session

NSF Grantees’ Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Muhittin Yilmaz, Texas A&M University, Kingsville (TAMUK); Selahattin Ozcelik, Texas A&M University, Kingsville; Nuri Yilmazer, Texas A&M University, Kingsville; Reza Nekovei, Texas A&M University, Kingsville

Tagged Topics

NSF Grantees Poster Session

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

Works”, IEEE Spectrum, October 2011.[3] E. Ackerman, “CMU Develops Autonomous Car Software That’s Provably Safe”, IEEE Spectrum, July 2011.[4] Humanoid Robotics Group, http://www.ai.mit.edu/projects/humanoid-robotics-group/, Last Accessed onDecember 26, 2011.[5] C. Y. Chen, P. H. Huang, “Review of an Autonomous Humanoid Robot and Its Mechanical Control”, Journal ofVibration and Control, Online, September 2011.[6] E. Guizzo, “These Humanoid Robots Could Kick Your Asimo”, IEEE Spectrum, October 2010.[7] M. Kroh, K. El-Hayek, S. Rosenblatt, B. Chand, P. Escobar, J. Kaouk, S. Chalikonda, “First Human SurgeryWith a Novel Single-Port Robotic System: Cholesystectomy using the Da-Vinci Single-Site Platform”, SurgicalEndoscopy, 25, 11, June 2011, pp