Conference Session

Technical Session 5a

Collection

2017 Pacific Southwest Section Meeting

Authors

Alexander Sebastian Furlanic, San Francisco State University; Philip A. Thomas, California Polytechnic State University, San Luis Obispo ; Panfilo Jesus Armas, SFSU; Rene Parra Medina, San Jose State University; Jackie Lok; Amelito G Enriquez, Canada College; Wenshen Pong P.E., San Francisco State University; Cheng Chen, San Francisco State University; Kwok Siong Teh, San Francisco State University; Xiaorong Zhang, San Francisco State University; Hamid Mahmoodi, San Francisco State University; Zhaoshuo Jiang P.E., San Francisco State University

Tagged Topics

Diversity, Pacific Southwest Section

–76, 1998.7. Spencer B F and Nagarajaiah S. "State of the art of structural control." J. Struct. Eng. 129 845–56, 2003.8. Housner, G. W., Soong, T. T. and Masri, S. F. "Second generation of active structural control in civil engineering." Proc. 1st World Conf. on Structural Control pp 3–18, Pasadena California Panel, 1994.9. Ikago, K., Saito, K. and Inoue, N. "Seismic control of single-degree-of-freedom structure using tuned viscous mass damper." Earthquake Engng. Struct. Dyn., 41: 453–474. doi: 10.1002/eqe.1138, 2002.10. Ervasti, M., Dashti, S., Reilly, J., Bray, J. D., Bayen, A., and Glaser, S. "iShake: Mobile phones as seismic sensors-user study findings." Proc. 10th Int. Conf. Mobile and Ubiquitous Multimedia

Conference Session

Integrating Teaching Assistants, Tenure-track, and Non-tenure-track Faculty into a Cohesive Department

Collection

2017 ASEE Annual Conference & Exposition

Authors

Brad Wambeke, United States Military Academy; Brock E. Barry, U.S. Military Academy; Jakob C Bruhl P.E., U.S. Military Academy

Tagged Divisions

Civil Engineering

Dictionary. www.merriam-webster.com. Accessed 28 January 2017.8. Dictionary.com. www.dictionary.com/ Accessed 28 January 2017.9. Knowles, M. S. (1980). The Modern Practice of Adult Education: From Pedagogy to Andragogy (Revised and Updated). Cambridge, New York, NY.10. Taylor, B., and Kroth, M. (2009). Andragogy’s transition into the future: Meta-analysis of andragogy and its search for a measurable instrument. Journal of Adult Education, 38(1), 22– 42.11. Entwistle, N. J., and Peterson, E. R. (2004). Conceptions of learning and knowledge in higher education: Relationships with study behaviour and influences of learning environments. International Journal of Educational Research, 41(6), 407–428.12. Struyven, K., Dochy, F., Janssens, S

Conference Session

Military and Veterans Constituent Committee Division Technical Session 3

Collection

2017 ASEE Annual Conference & Exposition

Authors

Douglas Moore Schutz, Tokyo University of Science; Dante Dionne, Korean Air; Yong-Young Kim P.E., Konkuk University

Tagged Topics

Diversity

Tagged Divisions

Military and Veterans

a greater impact to graduationrates online or off-line.References[1] I. F. Liu, Chen, M. C., Sun, Y. S., Wible, D., & Kuo, C. H. , "Extending the TAM Model to Explore the Factors that Affect Intention to Use an Online Learning Community," Computers & Education, vol. 54, pp. 600-610, 2010.[2] M. Chmura, "Babson Study: Distance Education Enrollment Growth Continues," ed. Wellesley, MA: Babson University, 2016.[3] P. Blau, Inequality and Heterogeneity. New York, NY: Free Press, 1977.[4] S. B. Eom, Wen, H. J., & Ashill, N. , "The Determinants of Students' Perceived Learning Outcomes and Satisfaction in University Online Education: An Empirical Investigation.," Decision Sciences Journal of

Conference Session

Entrepreneurship and Innovation: Beyond the University

Collection

2017 ASEE Annual Conference & Exposition

Authors

Jidong Huang, California State University, Fullerton; John B Jackson, California State University, Fullerton; Pradeep Nair, California State University, Fullerton; Amy Cox-Petersen, California State University, Fullerton

Tagged Topics

Diversity

Tagged Divisions

Entrepreneurship & Engineering Innovation

(2011, January). Afterschool innovations in brief: Focusing on middle school age youth. Report, Afterschool Alliance. 2. American Association of University Women (AAUW) (1992). How Schools Shortchange Girls. Emeryville, CA: Marlowe and Co. 3. Blank, S. (2013). Why the lean start-up changes everything. Harvard Business Review, May 2013, 3-9.4. Britner, S. L., & Pajares, F. (2006). Sources of science self‐efficacy beliefs of middle school students. Journal of Research in Science Teaching, 43(5), 485-499.5. Kerr, B. S. (1997). Smart Girls: A New Psychology of Girls, Women and Giftedness. Scottsdale, AZ: Gifted Psychology.6. Langdon, D.; McKittrick, G.; Beede, D.; Khan, B.; & Doms, M. (July 2011). STEM: Good jobs

Conference Session

Division Experimentation and Lab-Oriented Studies - Pedagogy of Lab Courses

Collection

2017 ASEE Annual Conference & Exposition

Authors

Tania Celli Machet, The University Of Sydney; David Lowe, The University of Sydney

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

(6):527-540.5. Jona K, Adsit J. Goals, guidelines, and standards for student scientific investigations. North American Council for Online Learning. 2008. http://www.inacol.org/.6. Lindsay E, Good MC. Effects of laboratory access modes upon learning outcomes. Education, IEEE Transactions on. 2005;48(4):619–631.7. Kable S. Advancing Science by Enhancing Learning in the Laboratory (ASELL) Final Report 2012. Sydney; 2012. http://www.olt.gov.au/system/files/resources/CG9_1049__Kable_ Report_2012.pdf.8. Nedic Z, Machotka J. Remote Laboratory NetLab for Effective Teaching of 1 st Year Engineering Students. International Journal of Online Engineering (iJOE). 2007;3(3).9. Lowe DB, Murray S, Weber L, et al

Conference Session

Program-Level Assessments for Multidisciplinary Areas

Collection

2017 ASEE Annual Conference & Exposition

Authors

Pearl Elizabeth Ortega, Texas A&M University; Magdalini Z Lagoudas, Texas A&M University; Jeffrey E. Froyd, Texas A&M University

Tagged Divisions

Multidisciplinary Engineering

element),  Multidisciplinary Perspectives (interdisciplinary element), and  Interdisciplinary Integration (interdisciplinary element).Under each category, there is a set of questions for a total of 55 criteria. Each criterion was ratedon a scale of 1 (lowest) to 7 (highest) with interpretations provided to guide the ratings. There arepositive and negative elements under each criterion and users of the rubric are encouraged toreference a section(s) of the student’s work that exemplified the element when giving a score.Drawing on Disciplinary Sources as a category evaluated familiarity with the disciplines beingpresented in the research. Critical Argumentation evaluated understanding of the topic beingpresented and its importance

Conference Session

Minorities in Engineering Division Technical Session 8

Collection

2017 ASEE Annual Conference & Exposition

Authors

Maria Teresa Napoli, University of California, Santa Barbara; Elizabeth Sciaky, University of California, Santa Barbara, Center for Science and Engineering Partnerships; Diana Jaleh Arya, University of California, Santa Barbara; Noreen Balos, University of California, Santa Barbara

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering

N000141512438.References[1] US Congress Joint Economic Committee, “STEM Education: Preparing for the Jobs of the Future,” 2012.[2] R. B. Freeman, “Does Globalization of the Scientific/Engineering Workforce Threaten U.S. Economic Leadership?,” in Innovation Policy and the Economy, 2005, no. Vol. 6.[3] A. Carnevale, N. Smith, and M. Melton, “STEM: Science Technology Engineering Mathematics.,” 2011.[4] The Organisation for Economic Co-Operation and Development, “THE OECD JOBS STUDY Facts , Analysis , Strategies (1994).,” 1994.[5] “The U. S. STEM Undergraduate Model,” Business-Higher Educ. Forum, 2013.[6] V. Bertram, “Better STEM Education with Project Lead the Way,” Manufacturing Net News, 2012.[7] J. P. Holdren and

Conference Session

Professionalism and Preparations Developed by Graduate Study Programs—Graduate Studies Division Technical Session 7

Collection

2017 ASEE Annual Conference & Exposition

Authors

Michael W. Keller, The University of Tulsa; Bradley J. Brummel, University of Tulsa; Valerie N. Streets, University of Tulsa; Alison J. Kerr, University of Tulsa; Rami M. Younis, The University of Tulsa; Leah Tecle, University of Tulsa; Daniel W. Crunkleton, University of Tulsa

Tagged Divisions

Graduate Studies

are thoseof the author(s) and do not necessarily reflect the views of the National Science Foundation.References[1] J. S. Shippmann, R. A. Ash, M. Batjtsta, L. Carr, L. D. Eyde, B. Hesketh, J. Kehoe, K. Pearlman, E. P. Prien, and J. I. Sanchez, "The practice of competency modeling," Personnel psychology, vol. 53, pp. 703-740, 2000.[2] B. J. Brummel, D. E. Rupp, and S. M. Spain, "Constructing parallel simulation exercises for assessment centers and other forms of behavioral assessment," Personnel Psychology, vol. 62, pp. 137-170, 2009.[3] D. E. Rupp, A. M. Gibbons, A. M. Baldwin, L. A. Snyder, S. M. Spain, S. E. Woo, B. J. Brummel, C. S. Sims, and M. Kim, "An Initial Validation of Developmental Assessment

Conference Session

Construction 2: Teaching Using Projects, Case Studies, and Service Learning

Collection

2017 ASEE Annual Conference & Exposition

Authors

Robert B. Austin, Bowling Green State University

Tagged Divisions

Construction

Purdue, Civil EngineeringEducation Issues, pp 97-105.Dutson, A, Todd, R Magleby, S., and Sorenson, C. (1997) A Review of Literature on TeachingEngineering Design Through Project-Oriented Capstone Courses, Journal of EngineeringEducation, 86(1), pp 17-28.Griffin, P., Griffin, S. and Llewellyn, D. (2004) The Impact of Group Size and Project Durationon Capstone Design, Journal of Engineering Education, 93(3), pp 185–193.Hackbert, P.H. (2004) Building Entrepreneurial Teamwork Competencies In CollaborativeLearning Via Peer Assessments, Journal of College Teaching & Learning, 1(12), pp 40-52.Hanna, A. and Sullivan, K. (2005) Bridging the Gap between Academics and Practice: A CapstoneDesign Experience, ASCE Journal of Professional Issues in

Conference Session

Construction 1: Special Topics in Construction Education: BIM, Simulation, Sustainability, and Safety

Collection

2017 ASEE Annual Conference & Exposition

Authors

Saeed Rokooei, University of Nebraska, Lincoln at Omaha; James D. Goedert Ph.D., P.E., University of Nebraska, Durham; Asregedew Kassa Woldesenbet, University of Nebraska, Lincoln at Omaha

Tagged Divisions

Construction

Project Management. Journal of Engineering Education, 289-299.Education, D. o. (2014). Learning Technology Effectiveness. Office of Education Technology- U.S. Department of Education. Retrieved from https://tech.ed.gov/wp- content/uploads/2014/11/Learning-Technology-Effectiveness-Brief.pdfEducation, U. D. (2014). Learning Technology Effectiveness. Office of Education Technology - Learning Technology Effectiveness. Retrieved from https://tech.ed.gov/wp- content/uploads/2014/11/Learning-Technology-Effectiveness-Brief.pdfGoedert, J., & Rokooei, S. (2016). Project-Based Construction Engineering Education in a Virtual Environment. International Journal of Construction Education and Research, 12(3), 208-223

Conference Session

Student Division Diversity and Persistence Related Technical Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Stacy Lynn Mann, Kettering University ; Diane L. Peters, Kettering University; Rebecca Marie Reck, Kettering University

Tagged Topics

Diversity

Tagged Divisions

Student

Homsher for championing the ideaand providing funding for the event.References [1] McIlwee, J. S. and Robinson, J. G., Women in engineering: Gender, power, and workplace culture. SUNY Press, 1992. [2] Lockwood, P., “Someone like me can be successful: Do college students need same-gender role models?,” Psychology of Women Quarterly, vol. 30, no. 1, pp. 36–46, 2006. [3] Rosenthal, L., London, B., Levy, S. R., and Lobel, M., “The roles of perceived identity compatibility and social support for women in a single-sex stem program at a co-educational university,” Sex Roles, vol. 65, no. 9-10, pp. 725–736, 2011. [4] Miyake, A., Kost-Smith, L. E., Finkelstein, N. D., Pollock, S. J., Cohen, G. L., and Ito, T. A., “Reducing the gender

Conference Session

CoED: Computer Science Topics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Roxanne Moore, Georgia Institute of Technology; Michael Helms, Georgia Institute of Technology; Jason Freeman, Georgia Tech

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

, S. McCoid, T. Jenkins, and E. Livingston. Tackling engagement in computing with computational music remixing. in Proceeding of the 44th ACM technical symposium on Computer science education. 2013. ACM.8. McCoid, S., J. Freeman, B. Magerko, C. Michaud, T. Jenkins, T. Mcklin, and H. Kan, EarSketch: An integrated approach to teaching introductory computer music. Organised Sound, 2013. 18(02): pp. 146-160.9. Winters, D., Virtuous and Vicious Cycles. The Social State?, 2003: pp. 43.10. Sharan, S. and I.G.C. Tan, Student engagement in learning. Organizing schools for productive learning, 2008: pp. 41-45.11. Haraldsson, H.V., Introduction to systems and causal loop diagrams. System Dynamic Course

Conference Session

Materials Division Technical Session 2

Collection

2017 ASEE Annual Conference & Exposition

Authors

Noah Salzman, Boise State University; Rick Ubic, Boise State University

Tagged Divisions

Materials

).3. Lopatto, D. Undergraduate Research Experiences Support Science Career Decisions and Active Learning. CBE Life Sci Educ 6, 297–306 (2007).4. Beninson, L. A., Koski, J., Villa, E., Faram, R. & O’Connor, S. E. Evaluation of the research experiences for undergraduates (REU) sites program. Council on Undergraduate Research Quarterly 32, (2011).5. Follmer, D. J., Zappe, S. E., Gomez, E. W. & Kumar, M. Preliminary evaluation of a research experience for undergraduates (REU) program: A methodology for examining student Outcomes. in 2015 122nd ASEE Annual Conference and Exposition, June 14, 2015 - June 17, 2015 122nd ASEE Annual Conference and Exposition: Making Value for Society, (American Society for Engineering Education

Conference Session

Predicting Student Success

Collection

2017 ASEE Annual Conference & Exposition

Authors

Seyedhamed Sadati, Missouri University of Science & Technology; Nicolas Ali Libre, Missouri University of Science & Technology

Tagged Divisions

Educational Research and Methods

of semester was incorporated for development of a prediction tool. Linearregression analysis was incorporated to establish correlations between the early semesterperformance and the end-of-semester score as suggested in Equation 4. 𝑛 𝐹𝑖𝑛𝑎𝑙 𝑆𝑐𝑜𝑟𝑒 = 𝛼0 + ∑ 𝛼𝑖 𝐻𝑊𝑖 + 𝛽𝑀𝑇1 + 𝛾𝐵𝑄 (4) 𝑖=1Where 𝛼𝑖 , β and γ are the regression coefficients, 𝐻𝑊𝑖 s are the scores corresponding to each ofthe homework assignments, 𝑀𝑇1 is the score obtained from the first mid-term exam, and 𝐵𝑄 is thescore obtained from in-class performance, i.e. bonus questions.Initially, 80% of the available data points were randomly selected and used for

Conference Session

Instrument Development

Collection

2017 ASEE Annual Conference & Exposition

Authors

Timeri K. Tolnay, Colorado School of Mines; Sam Spiegel, Colorado School of Mines; Jennifer Zoltners Sherer, University of Pittsburgh

Tagged Divisions

Educational Research and Methods

2015. Golden, CO: Colorado School of Mines.Eddy, S. L., Converse, M., & Wenderoth, M. P. (2015). PORTAAL: A Classroom Observation Tool Assessing Evidence-Based Teaching Practices for Active Learning in Large Science, Technology, Engineering, and Mathematics Classes. Cell Biology Education, 14(2), ar23-ar23. doi:10.1187/cbe.14-06-0095Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410-8415. doi:10.1073/pnas.1319030111GORP Tool: UC Davis Center for Educational Effectiveness. (n.d.). Retrieved

Conference Session

Integrating Additive Manufacturing Practices in Education

Collection

2017 ASEE Annual Conference & Exposition

Authors

Tony Fan, Wayne State University; Gene Yeau-Jian Liao, Wayne State University; C. P. Yeh, Wayne State University; Jimmy Ching-ming Chen, Wayne State University

Tagged Divisions

Manufacturing

technologybackgrounds, the corresponding outcomes areElectrical engineering technology:c. (E1) the ability to analyze, design, and implement control systems, instrumentation systems, communications systems, computer systems, or power systems;d. (E2) the ability to apply project management techniques to electrical/electronic(s) systems.Bioengineering technology:c. (B1) the ability to analyze, design, and implement bioengineering systems. 12ConclusionThis project is designed for senior students who have taken courses such as Electrical Machinesand Power Systems, Micro and Programmable Controllers, Design of Machine Elements,Computer-Aided Design and Manufacturing, and Control Systems as prerequisites. The

Conference Session

Career Development in Engineering: From Higher Education to Industry

Collection

2017 ASEE Annual Conference & Exposition

Authors

Mitchell L Springer PMP, SPHR, SHRM-SCP, Purdue University, West Lafayette (College of Engineering); Mark T Schuver, Purdue University, West Lafayette (College of Engineering)

Tagged Divisions

Continuing Professional Development

– Average age vacation and retirement homes – 65 – Average age for cruises – 70 – Average age for predominance of prescription drugs – 77 – Average age for nursing homes - 84As we chronologically age, our life demands for shelter, transportation, food and clothing all arereduced. These many changes are a reflection in large part to our changing family makeup atdistinct periods in time. From above, it can be construed our U.S. populace generally getmarried in their 20’s. The 30’s are typically a time for the collection of material possessions(cars, homes, furniture, appliances, etc.) Our late 40’s reflect an empty nester’s phase, where ourchildren become, theoretically, independent and move out onto their own; whether this

Conference Session

Global Graduate Studies and Programs Abroad - Graduate Studies Division Technical Session 3

Collection

2017 ASEE Annual Conference & Exposition

Authors

Jeffrey Scott Cross, Tokyo Institute of Technology; Mamoru Tanahashi, Tokyo Institute of Technology; Masao Takeyama, Tokyo Institute of Technology; Mutsuko Hatano, Tokyo Institute of Technology; Akira Yamada, Tokyo Tech

Tagged Divisions

Graduate Studies

Paper ID #19042Energy Science and Engineering Graduate Education at Tokyo TechProf. Jeffrey Scott Cross, Tokyo Institute of Technology Jeffrey S. Cross received a Ph.D. in chemical engineering from Iowa State University in 1992. He has worked in Japan at Fujitsu Lab Ltd., National Institute for Inorganics Materials, and at Tokyo Tech for over 20 years and is fluent in Japanese. Jeffrey is Prof. in the School of Environment and Society, Dept. of Transdisciplinarity Science and Engineering and graduate coordinate for the Energy Science and Engineering Major. He teaches online courses on academic writing and on education

Conference Session

Software and Related Tools for Teaching and Course Efficiencies

Collection

2017 ASEE Annual Conference & Exposition

Authors

Alan Jones, Indiana University-Purdue University, Indianapolis

Tagged Divisions

Mechanical Engineering

requirements of collecting and returning homeworkassignments reduces the time commitment and difficulty in teaching large classes.Bibliography1. Hauk, S. & Segalla, A. Student perceptions of the web-based homework program WeBWorK in moderate enrollment college algebra classes. J. Comput. Math. Sci. Teach. 24, 229 (2005).2. Thoennessen, M. & Harrison, M. J. Computer-assisted assignments in a large physics class. Comput. Educ. 27, 141–147 (1996).3. Flori, R. E. et al. Incorporating web-based homework problems in engineering dynamics. in Proceedings of American society of engineering education conference (2002).4. Spain, J. D. Electronic homework: Computer-interactive problem sets for general chemistry. J Chem Educ 73, 222 (1996).5

Conference Session

First-Year Programs: Paying Attention to Retention

Collection

2017 ASEE Annual Conference & Exposition

Authors

Steffen Peuker, California Polytechnic State University, San Luis Obispo

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

. Thereflective comprehensive report challenges students to evaluate themselves against a benchmarkstudent—referred to as a "world-class" engineering student—based on the following objectives:1. Goal setting a. Setting your goal(s) i.e., major, time to graduation, GPA b. Strengthening and clarifying your commitment to your goal(s) c. Setting up a ‘Road Map’ – a plan to guide you over the next years to graduation d. Understanding the essence of engineering2. Community building a. Building relationships, and making effective use of your peers (help-seeking) b. Participating in co-curricular activities3. Academic development a. Navigating the university system, resources, and academic advising b

Conference Session

Engineering Transfer Issues: Two-year College to Four-year College

Collection

2017 ASEE Annual Conference & Exposition

Authors

Sarah Cooley Jones, Louisiana State University; Warren N. Waggenspack Jr., Louisiana State University

Tagged Topics

Diversity

Tagged Divisions

Two Year College Division

Mechanical Engineering. He has been actively engaged in teaching, research and curricula development since joining the LSU faculty in 1988. As Associate Dean in the College of Engineering (2004-2014), he acquired sig- nificant funding from NSF to support the development of several initiatives aimed at improving student retention and graduation rates as well as supporting faculty with development of effective learning and teaching pedagogies. c American Society for Engineering Education, 2017 BRCC to LSU Engineering Pathways to SuccessABSTRACTThe National Science Foundation (NSF) S-STEM scholarship program, Engineering Pathway toSuccess, is a joint effort of the College of

Conference Session

EET Papers 1

Collection

2017 ASEE Annual Conference & Exposition

Authors

Jai P. Agrawal, Purdue University, Northwest; Omer Farook, Purdue University Northwest; Wangling Yu, Purdue University Northwest

Tagged Divisions

Engineering Technology

example of devising the laplacetransfer function of a second order continuous system for a desired performance and then converting itto discrete system: with zero steady state error, a 2% settling time of 0.5 seconds and 5% overshoot andthen convert to the discrete system. Step ResponseH= 134.4 1.2 1 --------------------------- 0.8 s^2 + 16 s + 134.4

Conference Session

Design and Making

Collection

2017 ASEE Annual Conference & Exposition

Authors

Jewell Amanda Brey, University of North Carolina, Chapel Hill; Danianne Mizzy, University of North Carolina, Chapel Hill; Richard Goldberg, University of North Carolina, Chapel Hill

Tagged Topics

Diversity

Tagged Divisions

Liberal Education/Engineering & Society

finished their projects (see figures 2a and 2b). Participants were asked to reflect back tobefore the project began to rate their confidence on skills on a Likert scale, and then considertheir confidence at the conclusion of the project. In the future, a survey will be given to studentsat the first build session, and the same survey upon completion to measure competencies.A statistical analysis of the survey results was performed. For each category considered, the datawas first tested for normality. For normally distributed data sets, a paired t-test was used. For thedata that was not normal, the Wilcoxon R-S test was used to test for significance. A p-value lessthan 0.05 was considered statistically significant. Figure 2a: First part of survey

Conference Session

ME Demonstrations and Laboratories

Collection

2017 ASEE Annual Conference & Exposition

Authors

Cody McKenzie, Clemson University; Todd Schweisinger, Clemson University; John R. Wagner P.E., Clemson University

Tagged Divisions

Mechanical Engineering

is collected, quick measurements of the bell(s) should be made so that a model can bebuilt in Solidworks. This model will be used in Abaqus to determine a numerical value for theresonant frequency, and the quantity subsequently used for comparisons with experimental data. 1. Program the MATLAB FFT analysis script. 2. Strike the two bells, and run the program to record the sound and analyze the audio input. 3. Use Solidworks to model the bells separately, export the part files to Abaqus. 4. Apply Abaqus to calculate the vibration in resonance step. 5. Compare the results from the FFT and simulation strategies in each group. Determine what errors are present in the experiment and how to eliminate them. The process for the

Conference Session

Engineering Design Graphics Division Technical Session 3: Spatial Visualization

Collection

2017 ASEE Annual Conference & Exposition

Authors

Ziang Xiao, University of Illinois, Urbana-Champaign; Yuqi Yao, University of Illinois, Urbana-Champaign; Chi-Hsien Yen, University of Illinois, Urbana-Champaign; Sanorita Dey, University of Illinois, Urbana-Champaign; Helen Wauck, University of Illinois, Urbana-Champaign; James M. Leake, University of Illinois, Urbana-Champaign; Brian Woodard, University of Illinois, Urbana-Champaign; Angela Wolters, University of Illinois, Urbana-Champaign; Wai-Tat Fu, University of Illinois, Urbana-Champaign

Tagged Divisions

Engineering Design Graphics

. ReferenceLoyalka, P., Carnoy, M., Froumin, I., Dossani, R., Tilak, J. B., & Yang, P. (2014). Factors affecting the quality of engineering education in the four largest emerging economies. Higher Education, 68(6), 977-1004Lubinski, D. (2010). Spatial ability and STEM: A sleeping giant for talent identification and development. Personality and Individual Differences, 49(4), 344-351.Maeda, Y. & Yoon, S. (2011). Scaling the Revised PSVT-R: Characteristics of the First-Year Engineering Students' Spatial Ability. Proceedings of the 2011 ASEE Annual Conference &Exposition, Vancouver, BC, 2011.Maeda, Y., & Yoon, S. Y. (2013). A meta-analysis on gender differences in mental rotation ability measured by the

Conference Session

Assessing Entrepreneurship and Innovation

Collection

2017 ASEE Annual Conference & Exposition

Authors

Prateek Shekhar, University of Michigan; Aileen Huang-Saad, University of Michigan; Julie Libarkin, Michigan State University; Ricardo Cummings, University of Michigan; Valentina Tafurt, University of Michigan

Tagged Divisions

Entrepreneurship & Engineering Innovation

experiential learning format.Although Besterfield-Sacre et al. (2012)’s work presents a tool for assessing entrepreneurialknowledge, the inventory is a measure of students’ self-assessed knowledge rather than a “directmeasure of measurement of the actual skills and knowledge” (p. 8). We argue that this approachdoes not completely capture students’ understanding of entrepreneurial concepts due to emphasison only students’ familiarity with concepts and terms, rather than their ability to internalize andapply entrepreneurial knowledge. In other words, overall there is almost no research that uses adirect measure of entrepreneurial knowledge to assess the impact of entrepreneurship programson student learning. Guided by this gap, in our study, we examined

Conference Session

Assessment and Liberal Education

Collection

2017 ASEE Annual Conference & Exposition

Authors

Sean Ferguson, University of Virginia; Rider W. Foley, University of Virginia

Tagged Divisions

Liberal Education/Engineering & Society

. In this case, student 8o had taken an elective STScourse on the Societal Implications of Nanotechnology (STS 3110).Even when students may have misunderstood ideas from prior classes there is anacknowledgement that technological change does not occur in a vacuum nor does it drive societyin some determined way. For example, Participant 77’s pre-map (not shown) includes the term“technological determinism” as a node linked to “design”, “unintended consequences”, and“ethical decision making” and a side note that states “I do not subscribe wholesale to this theory,but some professors in the past have treated this as doctrine.” It should be noted thattechnological determinism as an argument for what primarily drives social change is critiqued bySTS

Conference Session

NSF Grantees Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Sarah E Morgan, University of Southern Mississippi; Kimberly Lambert Wingo, The University of Southern Mississippi

Tagged Topics

NSF Grantees Poster Session

and engineering careers.References1. Brownlow, J. ; Bullock, T.; Moore, L. M. J.; Norman, M.; Morgan, S. E. “Synthesis and characterization of di(perylene bisimides) for use as an electron accepting material in polymer photovoltaic devices” Abstracts of Papers, 253rd American Chemical Society National Meeting and Exposition, San Francisco, CA, April 2-7, 2017.2. Boleware, M.; Sharma, A.; Wiggins, J.S. “Cross-linking” physics and polymers: Making an "impact" in STEM education” Abstracts of Papers, 253rd American Chemical Society National Meeting and Exposition, San Francisco, CA, April 2-7, 2017.3. Wingo, K.; Morgan, S. E. “Developing polymer research lessons for the high school classroom – NSF RET at The University of Southern

Conference Session

NSF Grantees Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Cheryl Cass, North Carolina State University; Leda Lunardi, North Carolina State University; Olivia Christine Gordon, North Carolina State University

Tagged Topics

Diversity, NSF Grantees Poster Session

Paper ID #20197Promoting academic and career success for Raleigh Future Scholars at NCStateDr. Cheryl Cass, North Carolina State University Cheryl Cass is a teaching assistant professor in the Department of Materials Science and Engineering at North Carolina State University where she has served as the Director of Undergraduate Programs since 2011. Her research focuses on the intersection of science and engineering identity in post-secondary and graduate level programs.Prof. Leda Lunardi, North Carolina State University Leda Lunardi received the BS and MS from University of S˜ao Paulo (USP), S˜ao Paulo, Brazil, and Ph.D

Collection

2017 ASEE Mid Atlantic Section Spring Conference

Authors

Vasudeva Rao Aravind, Clarion University; Kevin D Croyle, Clarion University Of Pennsylvania

Tagged Topics

Diversity

). Students need challenge, not easy success. Educational Leadership, 48(1), 22–26. Retrieved from http://thinkingskillsclub.com/wp-content/uploads/2014/04/risk_success_clifford_1990.pdf[3] Higgins, R., Hartley, P., & Skelton, A. (2010). Studies in Higher Education The Conscientious Consumer : Reconsidering the role of learning The Conscientious Consumer : reconsidering the role of assessment feedback in student learning. Studies in Higher Education, 27(1), 37–41. https://doi.org/10.1080/0307507012009936[4] Askew, S., & Lodge, C. (2000). Gifts, ping-pong and loops-linking feedback and learning. In Feedback For Learning (pp. 1–17).[5] Aleven, V., McLaren, B.M., Sewall, J., &Koedinger, K.R., Proceedings of the 8th