Conference Session

DEED Melange

Collection

2014 ASEE Annual Conference & Exposition

Authors

Ang Liu, University of Southern California; Stephen Y. Lu, University of Southern California

Tagged Divisions

Design in Engineering Education

various interrelated elements and dimensions that compriseevery problem. “System Thinking” often conflates: (a) what a system is, and (b) how to approachthe design of a system. Some axioms of the EBT “system thinking” inlcude: everything is asystem; every system is part of a larger system, every system is composed of smaller systems,every system exists in parallel with other systems.Four Approach Questions:Involve People: the first EBT phase is centered on the question of “who are the possiblestakeholders and resource people to involve?” Keeping the three EBT foundation questions inmind, the goal of this phase is to seek for an outcome composed of two specific actions: (1)getting the right people involved, and (2) ensuring future acceptance of

Conference Session

Thermodynamics, Fluids, and Heat Transfer I

Collection

2014 ASEE Annual Conference & Exposition

Authors

David C. Zietlow, Bradley University

Tagged Divisions

Mechanical Engineering

࢙࢙,૛ ൌ ࢙૚ Equation 26 To find the specific entropy at state-point one (‫ݏ‬ଵ ) Equation 27 uses a propertyrelationship based on the two independent, intensive properties known at state-point one,namely, temperature and quality. ࢙૚ ൌ ࢌሺࡾ૚૜૝ࢇ, ࢀ࢙ࢇ࢚,ࢋ , ࢞ ൌ ૚ሻ Equation 27 You may find it helpful to refer to Appendix B once again to follow the next chain ofevents. With the pressure and specific entropy at state point 2s you are able to use the propertyrelationship represented in Equation 24 to find the ideal specific enthalpy. Now you haveeverything you need to calculate the ideal rate of work into the compressor using Equation 12.Next, calculate the actual rate of work into the compressor using

Conference Session

Virtual and Online Learning Tools in Chemical Engineering Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Garret Nicodemus, University of Colorado, Boulder; John L. Falconer, University of Colorado, Boulder; Will Medlin, University of Colorado, Boulder; Katherine Page McDanel, University of Colorado, Boulder, Department of Chemical & Biological Engineering; Jeffrey Steven Knutsen, University of Colorado, Boulder, Department of Mechanical Engineering,

Tagged Divisions

Chemical Engineering

simulations related to chemical engineering topics are available at theWolfram Demonstrations site. These simulations can be used both in and out of class to promotestudent interaction with the material.Acknowledgments We gratefully acknowledge support from NSF Grant DUE 1244183 and thank Rachael L.Baumann for preparing many of the interactive simulations that we posted on the WolframDemonstration site.References Page 24.720.71. B. Means, Y. Toyama, R. Murphy, M. Bakia, K. Jones, Evaluation of Evidence-Based Practices in Online Learning: A Meta-Analysis and Review of Online Learning Studies, U.S. Department of Education (2010). http://www2

Conference Session

Innovative Assessment Techniques in Civil Engineering Courses

Collection

2014 ASEE Annual Conference & Exposition

Authors

Mary Katherine Watson, The Citadel, The Military College of South Carolina; Joshua Pelkey, AirWatch; Caroline R. Noyes, Georgia Institute of Technology; Michael Owen Rodgers, Georgia Institute of Technology

Tagged Divisions

Civil Engineering

planning guide, and an assessment tool30-32. Hierarchy A Hierarchy B (Level 1) (Level 1) Cross-Link between Hierarchy C Hierarchies B and C (Level 2) Figure 1. Cmap hierarchies and cross-links31.2. Theoretical Basis for CmapsUse of cmaps is supported by cognitive psychological research in the area of semantic memorytheory. Semantic memory refers to an organized database of concept-based knowledge, such asmeanings, understandings, and images. Unlike episodic memories, semantic memories containfactual

Conference Session

Diversity Redefined: Nontraditional Views in Traditional Environments

Collection

2014 ASEE Annual Conference & Exposition

Authors

Richard R Harris, Northeastern University; Lauren Machunis, Northeastern University; William Tiga Tita, D'Amore-McKim Business School, Northeastern University

Tagged Divisions

Minorities in Engineering

Disposal/Health3. Alternative Energy/Resources 3. Alternative Energy/Electricity Generation4. Transportation 4. Transportation Safety5. Agriculture 5. Agriculture6. Education 6. Youth & Education (Academics) a. Experiential Learning 7. Community/Empowerment/Outreach b. Practical/Applied 8. GovernanceUpon completion of the thematic areas, we proposed to combine the Cameroon students and Page 24.433.6Northeastern University students into seven groups. It was

Conference Session

NSF Grantees’ Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Monica E. Cardella, Purdue University, West Lafayette; Marisa Wolsky, WGBH Educational Foundation; Christine Andrews Paulsen, Concord Evaluation Group; Tamecia R. Jones, Purdue University, West Lafayette

Tagged Topics

NSF Grantees Poster Session

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

Lead The Way. PLTW document, October 1, 2007.Willis, G.B. (2005). Cognitive interviewing: A tool for improving questionnaire design. Thousand Oaks, CA: Sage.13. Bricker, L. A. & Bell, P. (2008). Conceptualizations of argumentation from science studies and the learning sciences and their implications for the practices of science education. Science Education, 92(3), 473-498.14. Barron, B., Martin, C., Takeuchi, L. & Fithain, R. (2009). Parents as Learning Partners and the Development of Technological Fluency. International Journal of Learning and Media, 1(2), 55-77.15. U.S. Census Bureau. (2010). USA Quickfacts from the US Census Bureau. http://quickfacts.census.gov/qfd/states/00000.html Accessed February 9

Conference Session

Liberal Education/Engineering & Society Division Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Jay Patrick McCormack, Rose-Hulman Institute of Technology; Steven W. Beyerlein, University of Idaho, Moscow; Ashley Ater Kranov, Washington State University; Patrick D. Pedrow P.E., Washington State University; Edwin R. Schmeckpeper, Norwich University

Tagged Divisions

Liberal Education/Engineering & Society

scenario creation. To begin thisphase, the author gathers several (5-10) references from refereed papers and/or acceptable mediaoutlets for sources for the scenario. From the references, the author builds an annotatedbibliography. The annotated bibliography can include quoted passages, summary statements, andideas for the scenario storyline. The author then builds an outline of the scenario content usingthe major dimensions of EPSA rubric (Appendix B) as a guide. While this does not produce atemporal outline, this outline ensures that the author has uncovered and synthesized sufficienttopical content with respect to the dimensions of the EPSA rubric. It is a good idea now for theauthor to visualize a typical student discussion with respect to this

Conference Session

K-12 and Pre-College Engineering Division Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Krystal S. Corbett, Cyber Innovation Center; Joshua M. Coriell, Cyber Innovation Center; Sara Hahler, Louisiana Tech University

Tagged Divisions

K-12 & Pre-College Engineering

Paper ID #9290Assessing the First-Year Pilot of STEM: Explore, Discover, Apply – STEMCurricula for Middle Schools (Work in Progress)Dr. Krystal S Corbett, Cyber Innovation Center Dr. Krystal Corbett is the Director of Curricula at the Cyber Innovation Center (CIC). She received her B.S. and M.S. in Mechanical Engineering (2008/2010), M.S. in Mathematics (2012), and Ph.D. in Engineering Education (2012) at Louisiana Tech University. Through the CIC, Dr. Corbett manages various educational enterprises. Additionally, she is designing and implementing a three-part middle school elective course, STEM: Explore, Discover, Apply

Conference Session

College Industry Partnerships Division Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Andrew E. Jackson, East Carolina University; Sherion H. Jackson, Grand Canyon Univeristy

Tagged Divisions

College Industry Partnerships

. Page 24.965.86. Glassick, C. E., Huber, M. T., & Maeroff, G. I. (1997). Scholarship assessed: Evaluation of the professoriate. San Francisco, CA: Jossey-Bass.7. Holland, B., & Bennett, H. (2009). Metropolitan universities. 20(2). Indianapolis: Indiana University-Purdue University Indianapolis. http://muj.uc.iupui.edu/abstracts/v20_n2.html8. Jaeger, A. J., & Thornton, C. H. (2006). Neither honor nor compensation: Faculty and public service. Educational Policy, 20(2), 345.9. Jordan, C. (2006). Developing criteria for review of community-engaged scholars for promotion or tenure, Community-Engaged Scholarship for Health Collaborative http://depts.washington.edu/ccph/pdf_files/Developing%20Criteria

Conference Session

ECE Distance Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Susan C. Schneider, Marquette University; James E. Richie, Marquette University

Tagged Divisions

Electrical and Computer

Engineering – Bioelectronics Option, and –Biocomputing Option (BioE or BioC, respectively) as shown in Table 1. Each of these coursesfollows a similar format. In the traditional format for these courses, there is a weekly one hourlecture which introduces or reviews concepts for the upcoming laboratory. The goal of thelecture component is to teach the students good engineering practice regarding lab work,including pre-lab preparation, lab procedures, and post-lab practices. The objectives for thelecture are to (a) review/explain needed concepts; (b) demonstrate the required analysis or designtechniques; and (c) introduce or reinforce appropriate lab or equipment procedures. The studentsthen complete a pre-laboratory assignment in which they are

Conference Session

Spatial Ability & Visualization Training I

Collection

2014 ASEE Annual Conference & Exposition

Authors

Jeremy V Ernst, Virginia Tech; Diarmaid Lane, University of Limerick; Aaron C. Clark, North Carolina State University

Tagged Divisions

Engineering Design Graphics

). Spatial ability through engineering graphics education. International Journal Of Technology & Design Education, 23(3), 703-715. Page 24.982.78. Branoff, T. J. (2000). Spatial visualization measurement: A modification of the Purdue Spatial Visualization Test -Visualization of Rotations. Engineering Design Graphics Journal, 64(2), 14-22.9. Guay, R. (1977). Purdue Spatial Visualization Test: Visualization of Rotations. W. Lafayette, IN. Purdue Research Foundation.10. Bodner, M. G., & Guay, R. B. (1997). The Purdue Visualization of Rotations Test. The Chemical Educator, 2(4), 1-17.11. Howell, D. C. (2013). Statistical Methods

Conference Session

Entrepreneurship & Engineering Innovation Research Technical Session 7

Collection

2014 ASEE Annual Conference & Exposition

Authors

Daniel Michael Ferguson, Purdue University, West Lafayette; Wendy C. Newstetter, Georgia Institute of Technology; Eden Fisher, Carnegie Mellon University; Paula Gangopadhyay, The Henry Ford (museums); James Edwin Cawthorne Jr., Purdue University, West Lafayette; Sridhar S. Condoor, Parks College of Engineering, Aviation and Technology, Saint Louis University; Edward J. Coyle, Georgia Institute of Technology; Donald Wroblewski P.E., University of California, Berkeley; Cornelia Huellstrunk, Princeton University

Tagged Divisions

Entrepreneurship & Engineering Innovation

), while others were sublimated in papers aboutinnovation (I).In summary the articles referenced in Table 6 discussed the definition of entrepreneurship (ED),the existence of various stages of entrepreneurship (ES), and students’ experiences in variousentrepreneurship programs (EP). Almost all papers resulted in a discussion of the characteristics,or competencies, associated in developing innovative behaviors (B), skills (S), knowledge (K),and/or motivations (M) in engineers.Findings from the Georgia Tech focus group discussionsAs a result of the preparation, discussions and debates at the Georgia Tech focus group meetingseveral outcomes were obtained. First, the stages of innovative engineering were defined and areshown in Table 7. Second

Conference Session

Engineering and Public Policy Division Technical Session 2

Collection

2014 ASEE Annual Conference & Exposition

Authors

Don E. Malzahn, Wichita State University; Lawrence E. Whitman, Wichita State University; Ali Ghobahi Katamjani, Wichita State University

Tagged Divisions

Engineering and Public Policy

for the 24 programs is in the efficient set. Table 2. Data from the 24 efficient colleges identified from the DEA analysis. Total Total Total Total Efficiency School Total Res. Fac. Bachelor's Master's Doctoral Score A 18.33 62.67 10.33 4.67 $4,611,811 100 B 428.00 1674.33 992.33 284.33 $207,424,291 100 C 328.33 1359.33 472.67 214.00 $202,752,123 100 D 58.00 148.00 346.00 23.00 $5,635,967 100 E 127.00

Conference Session

K-12 and Pre-college Engineering: Research on Teachers' Perceptions, Attitudes and Impacts of Teacher PD

Collection

2014 ASEE Annual Conference & Exposition

Authors

Louis S. Nadelson PhD, Boise State University; Janet Callahan, Boise State University

Tagged Divisions

K-12 & Pre-College Engineering

Paper ID #8746Where do We Go from Here? Conversations with K-6 Principals FollowingThree Years of Engineering Education Professional Development for TheirFacultyDr. Louis S. Nadelson PhD, Boise State University Louis S. Nadelson is an associate professor in the College of Education at Boise State University, with a PhD in educational psychology from UNLV. His scholarly interests include all areas of STEM teaching and learning, inservice and preservice teacher professional development, program evaluation, multidis- ciplinary research, and conceptual change. Nadelson uses his over 20 years of high school and college math

Conference Session

Topics Enhancing ET Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Vukica M. Jovanovic, Old Dominion University; Jennifer Grimsley Michaeli PE, Old Dominion University; Otilia Popescu, Old Dominion University; Moustafa R. Moustafa, Old Dominion University; Mileta Tomovic, Old Dominion University; Alok K. Verma P.E., Old Dominion University; Cheng Y. Lin P.E., Old Dominion University

Tagged Divisions

Engineering Technology

, Mechatronics and smart structures: emerging engineering disciplines for the third millennium. Mechatronics, 2002. 12(2): p. 169-181.16. Tomizuka, M., Mechatronics: from the 20th to 21st century. Control Engineering Practice, 2002. 10(8): p. 877-886.17. Lima, M., et al., Mechatronics education at the University of Minho: a summary of the present; perspectives for the future. Mechatronics, 2002. 12(2): p. 295-302.18. Akpinar, B., Mechatronics education in Turkey. Mechatronics, 2006. 16(3–4): p. 185-192.19. Das, S., S.A. Yost, and M. Krishnan, A 10-Year Mechatronics Curriculum Development Initiative: Relevance, Content, and Results—Part I. Education, IEEE Transactions on, 2010. 53(2): p. 194-201.20. Habetler, T.G., et al., A new

Conference Session

Advances in CAD with Emphasis on Dimensioning

Collection

2014 ASEE Annual Conference & Exposition

Authors

Holly K. Ault Ph.D., Worcester Polytechnic Institute; Linjun Bu; Kejiang Liu, Worcester Polytechnic Institute

Tagged Divisions

Engineering Design Graphics

strategy (J2), which contained 5sketched features, 4 copy features, one hole and one edge feature. Two additional parts weremodeled to determine whether the feature types would affect the complexity index calculations.Part A, shown in Figure 6, was modeled using only extrusions for A1, and a combination of Page 24.1093.6revolve and extrude features for A2. Part B, shown in Figure 7, was modeled using onlyextrusions for B1 but included a blend feature for B2. Results of the complexity calculations forparts modeled with these alternative strategies are shown in Table 1. Note that parts K and J weremodeled using the same collection of features for the

Conference Session

Sustainability

Collection

2014 ASEE Annual Conference & Exposition

Authors

Mary Katherine Watson, The Citadel; Joshua Pelkey, AirWatch; Michael Owen Rodgers, Georgia Institute of Technology; Caroline R. Noyes, Georgia Institute of Technology

Tagged Divisions

Liberal Education/Engineering & Society, Multidisciplinary Engineering

rubric for assessing engineering education. Journal of Engineering Education, 2004. 93(2): p. 105-115.29. Borrego, M., et al., Using concept maps to assess interdisciplinary integration of green engineering knowledge. Advances in Engineering Education, 2009. 1(3): p. 1-26.30. Segalàs, J., D. Ferrer-Balas, and K.F. Mulder, What do engineering students learn in sustainability courses? The effect of the pedagogical approach. Journal of Cleaner Production, 2010. 18(3): p. 275-284.31. Carew, A.L. and C.A. Mitchell, Characterizing undergraduate engineering students' understanding of sustainability. European Journal of Engineering Education, 2002. 27(4): p. 349 - 361.32. Hayles, C. and B. de la Harpe. A study of student

Conference Session

Future Career and Professional Success for Graduate Students

Collection

2014 ASEE Annual Conference & Exposition

Authors

Janie McClurkin, Purdue University, West Lafayette; Velvet Fitzpatrick, Purdue University, West Lafayette; Catherine G.P. Berdanier, Purdue University, West Lafayette; Monica Farmer Cox, Purdue University, West Lafayette; Cyndi Lynch, Purdue University, West Lafayette

Tagged Divisions

Graduate Studies

). How People Learn: Brain, Mind, Experience, and School: Expanded Edition, Washington, DC: The National Academies Press.   4. Cox, M.F., London, J.S., Ahn, B., Zhu, J., Torres-Ayala, A.T., Frazier, S., & Cekic, O. (2011) Attributes of Success for Engineering Ph.D.s: Perspectives from Academia and Industry, 2011 Proceedings of the American Society for Engineering Education (10 pages). 5. Ahn, B., Zhu, J., Cox, M.F., London, J.S., & Branch, S. (2013). Recommendations for Engineering Doctoral Education: Design of an Instrument to Evaluate Change. 2013 Proceedings of the Frontiers in Education Conference, Oklahoma City, OK. 6. Pruitt-Logan, A. S., Gaff, J. G., Jentoft, J. E. (2002). Preparing

Conference Session

K-12 and Pre-College Engineering Division Curriculum Exchange

Collection

2014 ASEE Annual Conference & Exposition

Authors

Shelley Goldman, Stanford University; Maureen Carroll; Molly Bullock Zielezinski, Stanford University; Aaron Loh, Ministry of Education, Singapore; Eng Seng Ng, Stanford University; Stephanie Bachas-Daunert, Stanford University

Tagged Divisions

K-12 & Pre-College Engineering

succeed in the 21st Century. Aaron also holds a bachelor’s degree in English from the University of Cambridge, and a Masters in English and American literature from Stanford University.Mr. Eng Seng Ng, Stanford UniversityStephanie Bachas-Daunert, Stanford University Page 24.440.1 c American Society for Engineering Education, 2014Grade Level: 6-8Authors: Shelley Goldman, Maureen Carroll, Molly B. Zielezinski, Stephanie Bachas-DaunertAuthor Contact Information: sgoldman@stanford.edu, mbullock@stanford.eduNext Generation Science Standards: MS-LS2-5 Ecosystems: Interactions, Energy, and DynamicsActivity

Conference Session

WIED: Pre-College Student Experiences

Collection

2014 ASEE Annual Conference & Exposition

Authors

Sruti Modekurty; Judy Fong, UC Davis; Harry H. Cheng, University of California, Davis

Tagged Divisions

Women in Engineering

it all into motor rotations for the robot. For more challengingtask, the robot was required to start in Zone A, touch Zone B, and finish in Zone 3. These threezones were spread out on the board. This taught them about turning, program modularity, errorchecking, and the importance of testing small portions of code.The second project was a video project. The campers were asked to identify a real-worldproblem and design a solution using robotics. Using the Linkbots, they then had to create a videoto explain the problem and their solution. This project was designed to show them how they canuse their skills in engineering, computing, and robotics to solve problems, something girls seemto identify with. They were also able to use their seemingly

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

, J.S., “A handbook for classroom management that works,” Association for Supervision & Curriculum Development (ASCD), Alexandria, VA, pp 1­66, 2005.3. B. Van Veen, “Flipping Signal­Processing Instruction, IEEE Signal Processing Magazine,” vol. 30, no. 6, pp. 145 – 150, 2013. DOI: 10.1109/MSP.2013.22766504. A. Seidman, “The Learning Killer: Disruptive Student Behavior in the Classroom”, Reading Improvement, vol. 42, no. 1, pp. 40­46, 2005.5. C. M. Clark, and P. J. Springer, , “Thoughts on incivility: student and faculty perceptions of uncivil behavior in nursing education,” Nursing Education Perspectives, vol. 28, no. 2, pp. 93–97, Mar.–Apr. 2007.6. D. Wingert, and T. Molitor, “Best Practices: Preventing and

Conference Session

Simulations and Project-Based Learning II

Collection

2014 ASEE Annual Conference & Exposition

Authors

Matthew Turner, Purdue University (Statewide Technology); Chris Foreman, Purdue University, West Lafayette; Rajeswari Sundararajan, Purdue University, West Lafayette

Tagged Divisions

Engineering Technology

engineering education and research." International journal of electrical power & energy systems 24.10 (2002): 799-805.31. Kezunovic, M. "Teaching the smart grid fundamentals using modeling, simulation, and hands-on laboratory experiments." Power and Energy Society General Meeting, 2010 IEEE. IEEE, 2010.32. Karady, George G., et al. "Role of laboratory education in power engineering: Is the virtual laboratory feasible? I." Power Engineering Society Summer Meeting, 2000. IEEE. Vol. 3. IEEE, 2000.33. Larsson, Mats. "ObjectStab-an educational tool for power system stability studies." Power Systems, IEEE Transactions on 19.1 (2004): 56-63.34. Nasiruzzaman, A. B. M. "A student friendly toolbox for power system analysis using MATLAB

Conference Session

Graduate Ethics Education & Professional Codes

Collection

2014 ASEE Annual Conference & Exposition

Authors

James Craig Hanks, Texas State University, San Marcos; Dominick Esperanza Fazarro, The University of Texas at Tyler; Jitendra S. Tate, Texas State University, San Marcos; Walt Trybula, Texas State University & Trybula Foundation, Inc.; Robert J.C. McLean, Texas State University

Tagged Divisions

Engineering Ethics

Transforming Engineering Education. Special Session. Frontiers of Education Conference. Washington, D.C.19. Greenfield, B., & Jensen, G. M. (2010). Beyond a code of ethics: phenomenological ethics for everyday practice. Physiotherapy Research International, 15(2), 88-95.20. Habermas, J. (1998). Between Facts and Norms: Contributions to a Discourse Theory of Law and Democracy. Cambridge, MA: The MIT Press.21. Harris, C. E., Jr. (2013). Engineering Ethics: From Preventative Ethics to Aspirational Ethics. In Michelfelder, D.P. et al (eds). Philosophy and Engineering: Reflections on Practice, Principles, and Process. Dordrecht, Netherlands: Springer.22. Hett, A. (2004) Nanotechnology: small matter, many unknowns, Zurich, Switzerland

Conference Session

Design in Engineering Education Division Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Stephen Ekwaro-Osire, Texas Tech University; Fisseha Meresa Alemayehu, Texas Tech University; Haileyesus Belay Endeshaw, Texas Tech University; Ricardo Cruz Lozano, Texas Tech University

Tagged Divisions

Design in Engineering Education

Paper ID #9979Elements of Teaching Design under UncertaintyProf. Stephen Ekwaro-Osire, Texas Tech University Dr. Stephen Ekwaro-Osire is the associate dean of research and graduate programs in the Whitacre Col- lege of Engineering at Texas Tech. He is also a full professor in the Department of Mechanical Engi- neering and a licensed professional engineer in the state of Texas. He most recently served as the interim chair of the Department of Industrial Engineering. Before that, he served as the director of the graduate program and graduate advisor. Prior to that, he was the director of the undergraduate program in the

Conference Session

NSF Grantees’ Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Kaitlin Litchfield, University of Colorado, Boulder; Amy Javernick-Will, University of Colorado, Boulder; Cathy Leslie P.E., Engineers Without Borders - USA

Tagged Topics

NSF Grantees Poster Session

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

largerpopulation. The steps for the research method are depicted in Figure 1. Qual. Data Quant. Data Qual. & Qualitative Survey Collection Collection Quant. Claims Hypotheses (Phases 1&2) (Phases 1&2) Findings Figure 1: General research methods strategyFirst, two phases of qualitative research methods were employed. The first phase, a collection ofopen-ended questionnaire responses, assessed (a) the educational gains of EWB-USA membersand (b) descriptions

Conference Session

Computer Programming and Simulation

Collection

2014 ASEE Annual Conference & Exposition

Authors

Gregorio E. Drayer, Georgia Institute of Technology; Ayanna M. Howard, Georgia Institute of Technology

Tagged Divisions

Computers in Education

with embedded systems before? If, yes, please specify the course(s), projects developed, and devices used. 6. Have you worked with open-source embedded systems? i.e. Arduino, Raspberry Pi, etc. Please specify with which devices you have worked and enumerate the projects developed.For Questions 2-4, students selected their response from a simple choice list of options. Theoptions were: (a) A lot, (b) Some, (c) A little, and (d) None. Questions 5 and 6 included fields thatoffered students the opportunity to elaborate in their responses.3.3 Post-Tutorial Survey QuestionsThe questions of the post-tutorial survey allowed for collecting feedback from the students abouttheir experience conducting the exercises in the tutorial modules

Conference Session

Student Beliefs, Motivation and Self Efficacy

Collection

2014 ASEE Annual Conference & Exposition

Authors

Courtney June Faber, Clemson University; Sarah Jane Grigg, Clemson University; Adam Kirn, Clemson University; Justine M. Chasmar; Lisa Benson, Clemson University

Tagged Divisions

Educational Research and Methods

performance can be achieved; b) If achieved,performance will lead to desired outcomes; and c) Those outcomes will lead to satisfaction.7Research applying Expectancy x Value theory has shown that engineering students who havehigher expectations will have better academic performance 8, and those who see higher value fora task will persist longer.7 Expectancy x Value theory has been developed to examine students'motivations toward long-term goals at a degree or course level.7Expectancy was operationalized to assess how students expected to do in an introductoryengineering course. Survey items evaluating expectancy include, “I expect to do well in thisengineering course” and, “I am confident I can do an excellent job on the assignments and testsin this

Conference Session

Changing the Classroom Environment in Mathematics Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Robert Talbert, Grand Valley State University

Tagged Divisions

Mathematics

Education, 31 (1): 30-43.2. Bloom, B. S. (1956). Taxonomy of Educational Objectives: The Classification of Educational Goals: Handbook 1, Cognitive Domain. New York: David McKay.3. Pintrich, P. R. (2004). A conceptual framework for assessing motivation and self-regulated learning in college students. Educational Psychology Review, 16(4), 385–407.4. National Academy of Engineering. (2004). The engineer of 2020: Visions of engineering in the new century. Washington, D.C.: National Academies Press.5. [Reference redacted for blind review]6. [Reference redacted for blind review]7. Boelkins, M. (2013). Active Calculus. Electronic book available at http://faculty.gvsu.edu/boelkinm/Home/ Download.html .8. Hake, R.. (1998

Conference Session

ETAC, ABET, & STEM Programs

Collection

2014 ASEE Annual Conference & Exposition

Authors

Nasser Alaraje, Michigan Technological University; Aleksandr Sergeyev, Michigan Technological University

Tagged Divisions

Engineering Technology

Employment Projections, "STEM Occupations", Occupational Outlook Quarterly 2007, BLS 4. Occupational Outlook Handbook www.bls.gov/oco. 5. J. Kuenzi, C.Matthew, and B. Mangan, "Science, Technology, Engineering, and Mathematics (STEM) Education Issues and Legislative Options", CRS Report for Congress, 2006. 6. Bonvillian, W. B. "Science at a crossroads", The Federation of American Societies for Experimental Biology Journal, 16, 915–921, 2002. 7. Gonzales, P., Guzmán, J. C., Partelow, L., Pahlke, E., Jocelyn, L., Kastberg, D., & Williams, T., "Highlights from the Trends in International Mathematics and Science Study (TIMSS)", Washington, DC: U.S. Department of Education, National Center for Education

Conference Session

Entrepreneurship & Engineering Innovation Division Opening General Session 2

Collection

2014 ASEE Annual Conference & Exposition

Authors

Qu Jin, Stanford University; Shannon Katherine Gilmartin, Stanford University; Sheri D. Sheppard, Stanford University; Helen L. Chen, Stanford University

Tagged Divisions

Entrepreneurship & Engineering Innovation

Scutt, H. I., Gilmartin, S. K., Sheppard, S. & Brunhaver, S. in ASEE Annual Conference & Exposition.10 Bird, B. Implementing Entrepreneurial Ideas: The Case for Intention. Academy of Management Review 13, 442-453 (1988).11 Lee, L., Wong, P. K., Foo, M. D. & Leung, A. Entrepreneurial Intentions: The Influence of Organizational and Individual Factors. Journal of Business Venturing 26, 124-136 (2011).12 Ajzen, I. Perceived Behavioral Control, Self-Efficacy, Locus of Control, and the Theory of Planned Behavior. Journal of Applied Social Psychology 32, 665-683 (2002).13 Krueger, N. F. & Carsrud, A. L. Entrepreneurial Intentions: Applying the Theory of Planned Behaviour. Entrepreneurship & Regional