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Larry J. Shuman, University of Pittsburgh; Mary E. Besterfield-Sacre, University of Pittsburgh; Tuba Pinar Yildirim, University of Pittsburgh; Karen M. Bursic, University of Pittsburgh; Natasa Vidic, University of Pittsburgh

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, including PDAs and wikis, in combination with the mentioned assessment in- struments, we are identifying the various problem solving processes used by the student teams, as well as the range of problems that can be addressed, to determine how effective the various processes are relative to improved conceptual understanding.Development of Effective MEAs - Our initial focus was to develop or adapt MEAs. The onesthat we have developed are primarily designed for industrial engineering students, as well as stu-dents in engineering statistics and economics courses. These have been described in detail intwo papers presented at last year‟s ASEE meeting [2, 3]. We have used MEAs in the classroomfor three broad purposes [4]. These are: Integrate

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

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supported by the National Science Foundation’s Course Curriculum andLaboratory Improvement (CCLI) Program (Award Number 0837634). Any opinions, findings,and conclusions or recommendations expressed in this material are those of the author and do notnecessarily reflect the views of the National Science Foundation.Bibliography1. Online resource available at: http://www.census.gov/foreign-trade/statistics/product/atp/2006/12/atpctry/atpg06.html (last accessed on January 18, 2011)2. Online resource available at: http://www.census.gov/foreign-trade/statistics/product/atp/2008/03/atpctry/atpg06.html (last accessed on January 18, 2011)3. Hsieh, S. and Hsieh, P.Y. “Web-based Modules for Programmable Logic Controller Education

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James E. Lewis, University of Louisville; Patricia A. Ralston, University of Louisville; Norb Delatte, Cleveland State University; David Wheatley, University of Louisville

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learning from that failure; 2. Work as a teamto fundamentally understand a problem and why the problem occurred (The goal is to understandnot only technically why it occurred but why the technical errors were not discovered andcorrected.); 3. Engage in critical thinking and analysis to identify what technical error(s)occurred and to try to determine what system error(s) existed that allowed the technical error togo undetected, and finally, logically analyze the case to determine what personal errors weremade by the people involved in the case; 4. Increase student awareness of the roles andresponsibilities of working in the Engineering Profession; and 5. Use the elements of criticalthinking to create a defensible, logical position on the question

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Ashley Ater Kranov, Washington State University; Mo Zhang, Washington State University; Steven W. Beyerlein, University of Idaho, Moscow; Jay McCormack, University of Idaho; Patrick D. Pedrow, Washington State University; Edwin R. Schmeckpeper, Norwich University

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multi-faceted, multidisciplinaryengineering issues. They are then asked to determine the most important problem/s and todiscuss stakeholders, impacts, unknowns, and possible solutions. Table 2 presents a summary ofsample scenarios, and Appendix B provides three full scenarios with instructional prompts. TheEPS Rubric, an analytic rubric, was developed to measure the extent to which studentperformance in response to a given scenario achieved the six learning outcomes associated with Page 22.38.2the ABET professional skills. This method is flexible, easy to implement, and can be used at the course level for teaching and measuring engineering

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Julie Martin Trenor, Clemson University

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/faculties/ppsw/2005/m.p.j.van.der.gaag/.3. Dika, S. L. (2003). The effects of self-processes and social capital on the educational outcomes of high school students, Educational Research and Evaluation (Vol. PhD, pp. 210). Available from http://scholar.lib.vt.edu/theses/available/etd-05012003-162439/unrestricted/etd.pdf.4. Van Der Gaag, M. P. J., & Snijders, T. A. B. (2003). A comparison of measures for individual social capital. Paper presented at the Creation of and Returns to Social Capital. Retrieved from http://www.xs4all.nl/~gaag/work/comparison_paper.pdf.5. Van Der Gaag, M. P. J., & Snijders, T. A. B. (2005). The resource generator: social capital quantification with concrete items. Social Networks, 27(1), 1-29

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Susan L. Burkett, University of Alabama; John C. Lusth, University of Alabama; Sushma Kotru, University of Alabama

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-semester EngineeringStudents and its Implementation in a Large Introduction to Engineering Course,” ASEEConference Proceedings, pp. 10135-10139, 2004.4M. Grimheden, “From Capstone Courses to Cornerstone Projects: Transferring Experience fromDesign Engineering Final Year Students to First Year Students,” ASEE Conference Proceedings,AC 2007-1582, 2007. Page 22.401.85 S. Ekwaro-Osire, J. J. Mendias III, and P. Orono, “Using Design Notebooks to Map Creativityduring Team Activities,” Proc. FIE Conference, 2009.6 H. Hassan, “Creativity and Innovation for Electrical and Computer Engineering Research,”Proc. ASEE Annual Conference, 2004.7 A. J. Wilkinson, R

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Yi Guo, Stevens Institute of Technology; Shubo Zhang, Stevens Institute of Technology; Hong Man, Stevens Institute of Technology; Arthur B. Ritter, Stevens Institute of Technology

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-patterned adhesives," IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, Page(s): 105 - 111, February 2006.9. P. Glass, M. Sitti, and R. Appasamy, "A New Biomimetic Adhesive for Therapeutic Capsule Endoscope Applications in the Gastrointestinal Tract," Gastrointestinal Endoscopy, Vol. 65, No. 5, Page AB 91, April 2007.10. B. Kim, S. Park, C. Jee and S. Yoon, "An Earthworm-Like Locomotive Mechanism for capsule endoscopes," IEEE/RSJ International Conference on Intelligent Robots and Systems, Page(s): 2997 - 3002, August 2005.11. R. Siegwart and I. Nourbakhsh, "Introduction to Autonomous Mobile Robots," The MIT Press, 2004

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Gwen Lee-Thomas, Ph.D., Old Dominion University; Autar Kaw, University of South Florida; Ali Yalcin, University of South Florida

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and universities; panel reviewer for US DOE GAANN Fellowships (2009, 2010), NSF EEP (2005-08), and S-STEM (2008). Her assessment findings and evaluative works are reported in IEEE, presented in ASEE and FIE conference proceedings, and acknowledged in Mixed-Nuts on several different projects. Dr. Lee- Thomas also presented her evaluative work as a key component in an award-winning NPR radio broadcast ”Sounds of Progress” on The Women In Science, Technology, Engineering and Mathematics ON THE AIR! as part of a NSF funded project with Norfolk State University’s College of Science, Engineering and Technology.Autar Kaw, University of South Florida Autar K Kaw is a Professor of Mechanical Engineering and Jerome

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Tirupalavanam G. Ganesh, Arizona State University; Johnny Thieken, Arizona State University; Lisa Stapley Randall, Arizona State University; Alison W. Smith, SRP

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-existing ideas may very well be an approach that can enthuse studentsto attain the goal of becoming future scientists, technologists, engineers, and mathematicians.i This material is based upon work supported by the Learning through Engineering Design and Practice, NationalScience Foundation Award# 0737616, Division of Research on Learning in Formal and Informal Settings, under Page 22.1238.2Information Technology Experiences for Students and Teachers (ITEST) Youth-based Project. Opinions, findings,conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflectthe views of the

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James Dean Palmer, Northern Arizona University; Joseph Flieger, Northern Arizona University; Eddie Hillenbrand

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Labor, Bureau of Labor Statistics. Occupational Outlook Quarterly. 2009th ed.Government Printing Office; 2009.3. Kalwarski T, Mosher D, Paskin J, Rosato D. 50 Best Jobs In America. Money. 2006;35(5).4. Best Jobs in America. Money. 2010;39(11).5. Zweben S. Computing Degree and Enrollment Trends. 2010.6. Denning PJ. The field of programmers myth. Commun. ACM. 2004;47(7):15–20.7. Margolis J, Fisher A. Unlocking the Clubhouse: Women in Computing. MIT Press; 2003.8. Felleisen M, Findler RB, Flatt M, Krishnamurthi S. The DrScheme project: an overview.SIGPLAN Not. 1998;33:17–23.9. Allen E, Cartwright R, Stoler B. DrJava: a lightweight pedagogic environment for Java. In:ACM SIGCSE Bulletin. SIGCSE '02. New York, NY, USA: ACM; 2002:137–141.10. Barnes DJ

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Jason Yao, East Carolina University; Loren Limberis, East Carolina University; Steve Warren, Kansas State University

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, findings, conclusions, orrecommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the NSF.References1. Feisel, L.D. and A.J. Rosa, The Role of the Laboratory in Undergraduate Engineering Education. Journal of Engineering Education, 2005. 94(1): p. 121-130.2. Richard L. Clark, J., et al., Work in Progress - Transitioning Lab-in-a-Box (LiaB) to the Community College Setting in 39th ASEE/IEEE Frontiers in Education Conference. 2009: San Antonio, T. Page 22.1630.123. Millard, D., Workshop - Improving Student Engagement and Intuition with the Mobile Studio

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Holli Burgon, University of Illinois, Urbana-Champaign; Bruce Elliott-Litchfield, University of Illinois, Urbana-Champaign; David E. Goldberg, University of Illinois, Urbana-Champaign

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Illinois alumnus, he earned his bachelor’s degree in mechanical engineering, worked in industry for four years, and earned his master’s and doctorate degrees in agricultural and biochemical engineering at Purdue University. Since 1986, he has been on the faculty at the University of Illinois, where he is a professor in the Department of Agricultural and Biological Engineering.David E. Goldberg, University of Illinois, Urbana-Champaign David E. Goldberg, best known as a leader in the field of genetic algorithms and evolutionary computation, is the Jerry S. Dobrovolny Distinguished Professor in Entrepreneurial Engineering at the University of Illinois at Urbana-Champaign and co-director and co-founder of the Illinois

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Gene Liao, Wayne State University

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Development Corporation. http://www.themedc.org/News-Media/Press- Releases/Detail.aspx?ContentId=e6be3d27-3711-4bf2-88e4-7e6e6dc2e3c7/. Accessed April 13, 2010.13. http://www.dsireusa.org/library/includes/topic.cfm?TopicCategoryID=6&CurrentPageID=10&EE=1&RE=1/. Accessed April 13, 2010. Page 22.641.1314. http://www.whitehouse.gov/the_press_office/Remarks-of-President-Barack-Obama-Address-to-Joint-Session- of-Congress/. Accessed April 13, 2010.15. J. Makansi and J. Abboud, 2002, “Energy storage: The missing link in the electricity value chain,” An ESC White Paper, May, 2002, Energy Storage Council.16. S. Teleke

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Steve Warren, Kansas State University; Xiongjie Dong, Kansas State University; Tim J. Sobering, Kansas State University; Jason Yao, East Carolina University

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unit provides buspower (+5 Vdc (0.2 A); +2.5 Vdc (0.1 A)), 8 analog inputs (14-bit, 48 kS/s), 2 analog outputs(12-bit, 150 S/s), 12 TTL/CMOS digital I/O lines, a 32-bit (5 MHz) counter, a digital trigger,multiple operating system support, and compatibility with LabVIEW, Visual Studio .NET, andNI-DAQmx drivers. The collection cost ~$225. Page 22.91.3 Figure 1. RASCL version 2 prototyping board.2, 9myDAQ Specifications. The authors had previously planned to incorporate the RASCL version2.0 unit into a suite of learning experiences in order to assess its effectiveness and to gaugestudent satisfaction with the tools. The move

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Stephen J. Krause, Arizona State University; Jacquelyn E. Kelly, Arizona State University; Dale R. Baker, Arizona State University

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presented.This interaction, and the conversation that resulted, verbally elicited student mental models.Pre-Post Topic Concept Quizzes were given before and after instruction of two classes on atomicbonding. This assessment asked students to briefly describe and sketch a diagram to representeach of the four types of atomic bonding: covalent, ionic, metallic, and van der Waals. Thesebonding types were chosen because they are the most central to the materials and processesexamined in materials engineering. In another assessment, students were given three differentmaterials: a paper clip, a glass bottle, and a PVC pipe. For each material, students were asked toidentify bonding type(s) present and properties of the material important to its

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Xuemin Chen, Texas Southern University; Lawrence O Kehinde P.E., Texas Southern University; Yuhong Zhang, Texas Southern University; Shahryar Darayan, Texas Southern University; David O. Olowokere, Texas Southern University; Daniel Osakue, Texas Southern University

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iLab, and felt the lab had made themthink about and understand some things they would not have been able to from just lectures ortextbooks. This activity successfully helped us to understand the requirement for the VR-Lab.Acknowledgement and DisclaimerThis work is partially supported by the National Science Foundation under Grant Numbers DUE-0942778, EEC-0935008, and HRD-0928921.Any opinions, findings, and conclusions or recommendations expressed in this material are thoseof the author(s) and do not necessarily reflect the views of the National Science Foundation.Bibliography 1. I. E. Allen and J. Seaman, “Learning on demand: Online education in the United States, 2009”. Technical report, The Sloan Consortium. Retrieved May 1, 2010

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Morgan M Hynes, Tufts University; Ann F. McKenna, Arizona State University, Polytechnic; Chris Rogers, Tufts University; Megan Kiely Mueller, Tufts University; Xaver Neumeyer, Northwestern University; Richard M. Lerner, Tufts University

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graduation andemployment, and lower levels of “bad” outcomes, such as incarceration) than do the “hard skills”assessed by conventional mental ability tests1,2,3,4,6,10,11. Based on these findings, we hypothesizethat such life skills may be an important (albeit still largely unrecognized and unmeasured)“moderator variable” for college student engineering achievement. A moderator variable inbehavioral science is a construct that changes the relation between two other variables, and itmay be that soft skills have such a moderating influence between student “hard skills” andengineering achievement. We hypothesize further that possession of the “soft” skill abilities toselect (S) appropriate (realistic, feasible) goals for ones’ engineering tasks; to

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Sydney Rogers, Alignment Nashville; Sandra Harris, Alignment Nashville and PENCIL Foundation; Ismail Fidan, Tennessee Technological University; David McNeel, Education Consultant

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the project in each middle andhigh school club are closely monitored and, any corrective action, if needed, is takenimmediately. Future goals of this initiative include developing a sustainability model for theongoing operation of its after-school clubs and summer camps and more tightly integrating itsprograms into middle to high school transition strategies and into 9th grade curriculum and Page 22.228.6activities preparing students for their choice of academies.AcknowledgementsThis project is being funded by National Science Foundation Award Number 0833643.Bibliography1. Rogers, S. Rapid Prototyping: A Strategy to Promote Interest in STEM

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Matthew W. Ohland, Purdue University, West Lafayette; Richard A. Layton, Rose-Hulman Institute of Technology; Daniel Michael Ferguson, Purdue University, West Lafayette; Misty L. Loughry, Georgia Southern University; David J. Woehr, University of Tennessee; Hal R. Pomeranz, Deer Run Associates

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Department of Management at the University of Tennessee, Knoxville. He received his Ph.D. in Industrial/Organizational Psychology from Georgia Institute of Technology in 1989. Dr. Woehr ’s research focuses on the measurement and evaluation of individual job performance, managerial assessment centers, and applied measurement. Dr. Woehr currently serves as an associate editor for Human Performance and is an elected fellow of the Society for Industrial/Organizational Psy- chology (SIOP), the American Psychological Association (APA), and the Association for Psychological Science (APS).Hal R Pomeranz, Deer Run Associates Hal Pomeranz is the lead developer of the SMARTER Teamwork tools. He is a Faculty Fellow of the SANS

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Janet H. Murray, Georgia Tech; Christine Valle, Georgia Institute of Technology; Sue Rosser, San Francisco State University; Wendy C. Newstetter, Georgia Institute of Technology; Laurence J. Jacobs, Georgia Institute of Technology; John D. Leonard II, Georgia Institute of Technology; Sneha Veeragoudar Harrell

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team has developed exercises for theintroductory Statics course that serves as most students’ first introduction to engineeringproblem solving.Currently, the U.S. engineering workforce remains 90% white and male; engineering, inparticular, has not attracted women and URMs. Baccalaureate degrees received by bothURMs and women in engineering peaked in 1999-2000 and have trended downwardsince then[1] A study conducted by Engineers Dedicated to a Better Tomorrow used theNSF WebCASPAR database to document that although about one half of earnedbaccalaureate degrees in S&E as a whole go to women, in physics, engineering,engineering technology, and computer science, these rates dropped to one in five[2].While in 2008 women earned 18.5% of

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Stephanie Elizabeth August, Loyola Marymount University; Allison Neyer, Department of Electrical Engineering and Computer Science; Don Brian Murphy, Loyola Marymount University; Robert Quinlan Thames

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present future plans.† This material is based upon work supported by the National Science Foundation underInnovations in Engineering Education, Curriculum, and Infrastructure (IEECI) Grant No.093510. Any opinions, findings and conclusions or recommendations expressed in this material Page 22.573.2are those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation (NSF).VESLL: Virtual Engineering ExperienceVESLL is establishing an online interactive learning environment designed to introduce studentsto engineering concepts through visualization and collaborative problem solving. Our long-termvision is to create a

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Ingrid St. Omer, University of Kentucky

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campus. Co-PI Anthony Dotson leads the VRC team. As a retiredU. S. Army Lieutenant Colonel, Mr. Dotson is in a position to provide important informationabout, and access to, military/veteran students. BCTC is in the process of developing a similarresource center for their campus efforts. Mr. Alexander DeSha, a National Guard veteran of theIraq war, was hired in November 2010 as the Military and Veterans Student ServicesCoordinator to lead the development for BCTC. Mr. DeSha is lending his experience to theircenter development efforts.The VRC focuses on four main areas of support to veterans; recruiting, transition, retention, andtransition again. While many institutions are leaning heavily on the first two, UK feels that toprovide the best

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Shane F. Cotter, Union College

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category where our categorization largely follows the original paper4 although we haveupdated the categories to reflect the questions given on the newest version 5.0 of the DT-SSCItest. Category # Questions Mathematical Background (B) 5 Linearity and Time Invariance (LTI) 4 Convolution (C) 3 Transform Representations (T) 5 Filtering (F) 2 Sampling (S) 2 Pole Zero Plots

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Gül E. Okudan Kremer, Pennsylvania State University, University Park; Linda C. Schmidt, University of Maryland, College Park; Noe Vargas Hernandez, University of Texas, El Paso

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recommendationspresented in this paper are those of the authors and do not necessarily reflect the views of theNational Science Foundation.Bibliography1. Grand Challenges for Engineering, National Academy of Engineering, http://www.engineeringchallenges.org/, 2008.2. The Engineer of 2020: Visions of Engineering in the New Century, National Academy of Engineering, ISBN-13: 978-0-309-09162-6, 2004.3. Seymour, E. and Hewitt, N. (1996). Talking About Leaving: Why Undergraduates Leave the Sciences, Westview Press, ISBN-10: 0813389267.4. Masters, C., Hunter, S. and Okudan, G. (2009). Design Process Learning and Creative Processing: Is There a Synergy? ASEE Conference Proceedings.5. Bilén, S., Devon, R. and Okudan, G. (2002). Core

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Mary R. Anderson-Rowland, Arizona State University; Armando A. Rodriguez, Arizona State University; John H. Bailey, Eastern Arizona College; Anita Grierson, Arizona State University; Rakesh Pangasa, Arizona Western College; Clark Vangilder, Central Arizona College; Phil Blake McBride, Eastern Arizona College; Richard A. Hall Jr., Cochise College

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- neers. He’s the PI on two NSF S-STEM grants providing academic and career guidance to students in CSEM fields. He js a Professor of Electrical Engineering within the Ira A. Fulton Schools of Engineering at ASU. Prior to joining ASU, he worked at MIT, IBM, AT&T Bell Laboratories and Raytheon Missile Systems. He has consulted for Eglin Air Force Base, Boeing Defense and Space Systems, Honeywell and NASA. He has authored over 190 technical papers and three engineering texts. He has given more than 60 invited presentations - including 13 plenaries. Since 1994, he has directed an extensive engineering mentoring-research program that has served over 300 students. He’s an AT&T Bell Labs Fellow, Boe- ing A.D

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Jack L. Beuth, Carnegie Mellon University; Rohit Kumar, Carnegie Mellon University; Carolyn Penstein Rose, Carnegie Mellon University

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of California, SantaBarbara, and John Stuart of PTC. Page 22.1597.13References 1. Kumar, R., Beuth, J., Rosé, C. P. (2011). Conversational Strategies that Support Idea Generation Productivity in Groups, Proceedings of Computer Supported Collaborative Learning. 2. Howley, I., Chaudhuri, S., Kumar, R., Rosé, C. P. (2009). Motivation and Collaboration On-Line, submitted to Artificial Intelligence in Education. 3. Kumar, R., Rosé, C. P., Wang, Y. C., Joshi, M., Robinson, A. (2007). Tutorial Dialogue as Adaptive Collaborative Learning Support, Proceedings of Artificial Intelligence in Education, July 9-13, Los

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Authors

Stephen J. Krause, Arizona State University; Jacquelyn E. Kelly, Arizona State University; Andrea Marta Eller, Arizona State University; Dale R. Baker, Arizona State University; Jessica Triplett, Arizona State University

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Glaserfield, E. (1987). The Construction of Knowledge: Contributions of Conceptual Semantics (Seaside, CA: Intersystems Publications, Inc.). 4. Von Glaserfield, E. (1995). Radical Constructivism: A Way of Knowing and Learning (Washington, DC: The Falmer Press). 5. Vygotsky, L. (1962) Thought and Language, T. E. Hanfmann & G. Vaka (Eds.), Cambridge, MA: MIT Press. 6. Donovan, M. S., Bransford, J. D. & Pellegrino, J. W. (Eds.) (1999). How people learn: Bridging research and practice. National Academy Press, Washington, DC. 7. Norman, D. (1983) Some observations on mental models. In Mental Models, D. Gentner and A. Stevens

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Christopher W. Swan, Tufts University; Kurt Paterson, Michigan Technological University; Olga Pierrakos, James Madison University; Angela R. Bielefeldt, University of Colorado, Boulder; Bradley A. Striebig, James Madison University

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, and advocates.5.0 AcknowledgementThis material is based upon work supported by the National Science Foundation under GrantsNos. 1025207 and 1025220. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation.6.0 References 1. ABET (2008). Criteria for Accrediting Engineering Programs Effective for Evaluations During the 2009- 2010 Accreditation Cycle, 21 pp., ABET Engineering Accreditation Commission. www.abet.org 2. Aidoo, J., J. Hanson, K. Sutterer, R. Joughtalen, and S. Ahiamadi (2007). International senior design projects – more lessons learned, National Capstone Design Course Conference

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Authors

William David Schlecht, Washington State University; Bernard J. Van Wie, Washington State University; Paul B. Golter, Washington State University; Robert F. Richards, Washington State University; Jennifer C. Adam, Washington State University; Ashley Ater Kranov, Washington State University; Marc Compere, Embry-Riddle Aeronautical University, Daytona Beach; Edwin Maurer P.E., Santa Clara University; Denny C. Davis, Washington State University; Olusola O. Adesope, Washington State University, Pullman; Joseph D. Law, University of Idaho, Moscow; Gary Robert Brown, AAC&U; Prashanta Dutta, Washington State University; David B. Thiessen, Washington State University; Baba Abdul, Washington State University

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from: http://www.pogil.org/.2. Arce, P. and L. Schreiber, High Performance Learning Environments, Hi-PeLE. ChemicalEngineering Education, 2004 (Fall Issue): p. 286-291.3. Dale, E., Audiovisual methods in teaching. 3 ed. Vol. 1. 1969, New York: Dryden Press.4. Crouch, C.H., A.P. Fagen, J.P. Callan, and E. Mazur, Classroom demonstrations: Learning tools orentertainment? American Journal of Physics, 2004. 72(6): p. 835-838.5. Felder, R., How About a Quick One? Chem. Engr. Education 26(1), 18-19 winter 1992.6. Hesketh, R., Farrell, S., and Slater, C., An Inductive Approach To Teaching Courses In Engineering,Proceedings of the 2003 American Society for Engineering Education Annual Conference and Exposition.7. Wankat, P., Oreovicz

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Stella A Quinones, University of Texas, El Paso; Benjamin C. Flores, University of Texas, El Paso; B. Lush, University of Texas, El Paso; Gabriel Della-Piana, Evaluation Consultant ; Denise Carrejo, Ph.D., University of Texas, El Paso Center for Institutional Evaluation, Research, and Planning

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(2009). Development of Quantum Perspectives in Modern Physics. Physical Review Special Topics – Physics Education Research, 5, p 010106-1.4. E. Cataloglu, R.W. Robinett (2002). Testing the Development of Student Conceptual and Visualization Understanding in Quantum Mechanics through the Undergraduate Career. Am J Phys., 70(3), 238-251.5. L. Bao (2002). Understanding Probabilistic Interpretations of Physical Systems: A Prerequisite to Learning Quantum Physics. Am J Phys, 70(3), 210-217.6. R.J. Roedel, S. El-Ghazaly, J.T. Aberle (1998). An Integrated Upper Division Course in Electronic Materials and Electromagnetic Engineering – Wave Phenomena for Electrical Engineers in Proceedings of FIE Conference, 921-926.7