Conference Session

First-year Programs Division Technical Session 5: Using Video, Games, and More in the First Year

Collection

2015 ASEE Annual Conference & Exposition

Authors

Gregory Warren Bucks, University of Cincinnati; Kathleen A. Ossman, University of Cincinnati

Tagged Divisions

First-Year Programs

Mean Change Z SignificantProblem Deviation Deviation 2013 2014 In Mean Value α = 0.01 2013 2014 P3 8.90 2.37 9.32 2.18 +0.42 4.06 YES P6 10.09 2.64 10.75 2.08 +0.66 5.77 YES P7 9.89 3.04 10.76 2.20 +0.87 6.56 YES P8 7.17 3.13 8.27 2.75 +1.1 8.09 YESTable 4 lists the topics covered in each exam problem and reflects the increased emphasis anarrays and loops

Conference Session

Civic Engagement and Volunteerism in Engineering

Collection

2015 ASEE Annual Conference & Exposition

Authors

Nathan E. Canney P.E., Seattle University; Angela R. Bielefeldt, University of Colorado, Boulder

Tagged Topics

Diversity

Tagged Divisions

Community Engagement Division

could examine other ways to view studentvolunteerism and the potential effects that those experiences have on the attitudes of personaland professional social responsibility in engineering students.AcknowledgementsThis material is based on work supported by the National Science Foundation under Grant#1158863. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.Bibliography1 A. W. Astin, L. J. Vogelgesang, E. K. Ikeda and J. A. Yee, How Service Learning Affects Students, Los Angeles: Higher Education Research Institute, 2000.2 J. S. Eyler, D. E. Giles, C. M. Stenson and C. J. Gray, "At a Glace: What We

Conference Session

First-year Programs Division Technical Session 9: Focus on Student Learning, Lifelong Learning, and the Whole Student

Collection

2015 ASEE Annual Conference & Exposition

Authors

Krista M. Kecskemety, Ohio State University; Jacob T Allenstein, Ohio State University; Robert B. Rhoads, Ohio State University; Clifford A Whitfield, Ohio State University

Tagged Divisions

First-Year Programs

the characteristics thatlifelong learners would possess.Mourtos7 developed a different strategy for looking at the definition of lifelong learning and itsrelationship to the ABET student outcome. In his work, he divided the ABET outcome into thetwo parts of: • recognizing the need for lifelong learning and • the ability to engage in lifelong learning.Mourtos7 developed 14 attributes to measure lifelong learning in students in both of thesecategories. These measures were then used in course design to ensure that lifelong learning wasincluded and assessed in the curriculum. The methods of assessment included student work,student course reflections, and student surveys. Mourtos7 recognizes that the 14 attributes oflifelong learning

Conference Session

Division Experimentation & Lab-Oriented Studies: Pedagogy of Lab-Oriented Courses

Collection

2015 ASEE Annual Conference & Exposition

Authors

Nebojsa I Jaksic P.E., Colorado State University, Pueblo

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

learning objectives. Also, designemphasis (cognitive objective) and proficiency with 3D-printing processes (skill learningobjective) are reflected in ABET General Criterion 3, Student Outcomes23 (c) “an ability todesign a system, component, or process to meet desired needs within realistic constraints such aseconomic, environmental, social, political, ethical, health and safety, manufacturability, andsustainability” and (k) “an ability to use the techniques, skills, and modern engineering toolsnecessary for engineering practice.” In addition, physical models that provide tactile, visual, andmanipulative feedback to learners have been implemented successfully in general education for along time.The 3D-printing lab includes nine inexpensive 3D

Conference Session

Computers in Education Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Lee Kemp Rynearson, Purdue University, West Lafayette; David W Reazin, Purdue University

Tagged Divisions

Computers in Education

methods asan early version of the system was being prepared for use, and it was found that grading on thedigital rubrics was equivalent in speed or faster for all graders versus paper, but the specifictiming data was not retained once the decision to continue with development was made.Therefore, it is difficult to make quantitative statements about the improvements to efficiencyand reliability offered by the new computerized course tools. However, as the new systems offernew capabilities and eliminate certain classes of grading error entirely, some effects can bereported on qualitatively. In the cases, the effects and benefits reflect a consensus of the facultyand grading staff actively involved with the use of the computer tools.Computer Tool

Conference Session

Evaluation: Technology and Tools for K-12 Engineering Education

Collection

2015 ASEE Annual Conference & Exposition

Authors

John L. Irwin, Michigan Technological University; Douglas E. Oppliger P.E., Michigan Technological University; Joshua M Pearce, Department of Materials Science & Engineering and Department of Electrical & Computer Engineering, Michigan Technological University; Gerald Anzalone, Michigan Technological University

Tagged Divisions

K-12 & Pre-College Engineering

knowledge required to initiatecreative project/problem based lessons reflecting the modern maker renaissance.Documented use of 3D printing in FabLabs and Makerspaces has provided someinsight,1,2 but these workshops are the first of their kind, so the survey responses providecrucial insight for improving future workshops and informing the maker community onthe use of 3D printers in K-12.RepRap 3D PrintersRepRap (self-replicating rapid prototyper) 3D printers3,4 are open-source 3D printerdesigns available for anyone to build. It is built on structural components that arethemselves produced by another RepRap; they are indeed self-replicating.5,6 Designs areproven and rapidly maturing and given that they are built with readily available parts,they are

Conference Session

First Year Programs Division Poster Session: The Best Place to Really Talk about First-Year Education

Collection

2015 ASEE Annual Conference & Exposition

Authors

Jessica E S Swenson, Tufts Center for Engineering Education and Outreach; Marya H Schnedeker, Center for Engineering Education and Outreach, Tufts University; Sarah Marie Coppola, Tufts Center for Engineering Education and Outreach; Leonardo Andres Madariaga, Tufts Center for Engineering Education and Outreach / Federico Santa Maria Technical University

Tagged Divisions

First-Year Programs

 predict the work students will likely produce. This information will provide helpful insights in how to present problems to best educate future engineers.   Acknowledgements  The authors would like to acknowledge funding and support from Tufts University Center for Engineering Education and Outreach, Tufts University Department of Mechanical Engineering, the Center of Science and Mathematics in Context at the University of Massachusetts Boston, USAID and ​ The Sampoerna University​ . This work was also supported by the National Science Foundation DRK­12 program, grant # DRL­1020243, and grant # DRL­1253344. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect

Conference Session

Studying Engineering Education Research & Institutions

Collection

2015 ASEE Annual Conference & Exposition

Authors

Justin L Hess, Purdue University, West Lafayette; Nicholas D. Fila, Purdue University; Senay Purzer, Purdue University, West Lafayette; Johannes Strobel, Texas A&M University

Tagged Divisions

Educational Research and Methods, Liberal Education/Engineering & Society

. Likewise, as the sample sizes inTable 4 and 82 and 65 for males and females, respectively, for the correlations below 0.30 thestatistical power of the t-tests comparing scales is well below 0.80. All of this is to say that byincreasing the sample size in future studies, it is possible we will detect relationships between thesurvey scales that we have perhaps failed to detect here by committing a Type II error.AcknowledgementsThis material is based upon work supported by the National Science Foundation under EEC1150874 and the NSF Graduate Research Fellowship Program under Grant No. DGE-1333468.Any opinions, findings, and conclusions or recommendations expressed in this material are thoseof the authors and do not necessarily reflect the views of

Conference Session

International Division Technical Session 3

Collection

2015 ASEE Annual Conference & Exposition

Authors

Shweta Chopra, Iowa State University; Prashant Rajan, Iowa State University; Chad M Laux, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

International

and Political Weekly, 46(21), 106-114. 7) Mack, N., Woodsong, C., MacQueen, K. M., Guest, G., & Namey, E. (2005). Qualitative research Page 26.753.10 methods: a data collectors field guide. 8) Shenton, A. K., & Hayter, S. (2004). Strategies for gaining access to organisations and informants in qualitative studies. Education for Information, 22(3), 223-231.9) Johl, S. K., & Renganathan, S. (2009). Strategies for gaining access in doing fieldwork: Reflection of two researchers. Electronic Journal of Business Research Methods, 8(1), 37-46.10) Gurney, J. N. (1991). Female researchers in male-dominated

Conference Session

Topics in Computing and Information Technologies II

Collection

2015 ASEE Annual Conference & Exposition

Authors

Gholam Ali Shaykhian, -; Mohd Abdelgadir Khairi, Najran University; Jinan Ziade ABD, University of Phoenix

Tagged Divisions

Computing & Information Technology

://swtuopproxy.museglobal.com/MuseSessionID=fd925b9615e67115f7e6173 a6599d7e2/MuseHost=proquest.umi.com/MusePath/pqdweb?index=0&did=1454 942261&SrchMode=2&sid=1&Fmt=3&VInst=PROD&VType=PQD&RQT=309 &VName=PQD&TS=1258783964&clientId=13118[8] Kirby, P., Gile, C., & Fossner, L. (2006). Data warehouse architectures must reflect business consensus. Forrester. Retrieved from Microsoft Library[9] Longman, C. (2008). Why Master Data Management is Such a Challenge. DM Review, 18(11), 18-20[10] Loshin, D. (2008). Master Data Management. Morgan Kaufmann, CA: San Francisco[11] Lucas, A. (2010). TOWARDS CORPORATE DATA QUALITY MANAGEMENT. Portuguese Journal of Management Studies, 15 (2

Conference Session

Multidisiplinary Student Research Experiences

Collection

2015 ASEE Annual Conference & Exposition

Authors

Tom A. Eppes, University of Hartford; Ivana Milanovic, University of Hartford

Tagged Topics

Diversity

Tagged Divisions

Multidisciplinary Engineering

America’s Research Universities. State University of New York- Page 26.788.11 Stony Brook, 1998.12. Justice, C., Rice, J., Roy, D., Hudspith, B., Jenkins, H. (2009) Inquiry-based learning in higher education: administrators’ perspectives on integrating inquiry pedagogy into the curriculum. High Educ 58, 841–855.13. Justice, C., Rice, J., Warry, W., Inglis, S., Miller, S. and Sammon S. (2007) Inquiry in higher education: reflections and directions on course design and teaching methods. Innovative Higher Education. 31 (4), 201–14.14. Healey, M. (2005). Linking research and teaching exploring disciplinary spaces and the role

Conference Session

Pipeline and Performance in BME Education

Collection

2015 ASEE Annual Conference & Exposition

Authors

Davide Piovesan, Gannon University; Karinna M. Vernaza, Gannon University

Tagged Divisions

Biomedical

personal stand on issues what I alreadypositions and others, and from support my commitment to based on my know.commit to them. reflective thinking. learning. learning. personal values and analysis. Page 26.790.44. Program Assessment RubricsThe

Conference Session

Teaching and Learning Strategies II

Collection

2015 ASEE Annual Conference & Exposition

Authors

David Reeping, Ohio Northern University; Kenneth J Reid, Virginia Tech

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

studies among sections of a course.2 Page 26.795.3The final top level of the classification scheme is pictured in Figure 1 which shows the eightmain outcomes (or categories) where each of the more specific outcomes are cataloged. Thecomplete classification scheme in a table format can be found in Appendix A. Figure 1: Top Level of the Classification Scheme1Application 1: Application of the Scheme among Multiple Course SectionsTwo Midwest universities have extensively utilized the classification scheme to reflect uponcurrent practices and determine gaps in content.2 A self-study exercise was performed by oneMidwestern

Conference Session

Fundamental: Home, Parents, and Other Out-of-School Issues Related to K-12 and Pre-college Engineering Education

Collection

2015 ASEE Annual Conference & Exposition

Authors

Jacob Inman, INSPIRE Institute for Pre-College Engineering Education; Monica E Cardella, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

K-12 & Pre-College Engineering

26.814.10imposed on the child gender data. On the other hand, reviews gathered from Amazon.com didnot seem to vary by date, as the site has kept its reviewing system largely the same over time.Future ResearchThis research can be considered a good jumping-off point for more intensive statistical analysison the raw data collected. As a largely exploratory study, its aims were merely to provideevidence of surface-level trends and how these reflect the conclusions of other researchers onthis topic, instead of performing rigorous statistical analyses. However, the data gathered is ripefor analysis, provided the researchers are able to mine independent variable data from thereviews collected; while two dependent variables are available in the child’s gender and

Conference Session

Innovations in Communications and Wireless Systems Education

Collection

2015 ASEE Annual Conference & Exposition

Authors

Wayne A Scales, Virginia Tech; J Michael Ruohoniemi; Geoff Crowley

Tagged Divisions

Electrical and Computer

, multipath reflections, antenna characteristics, and interference signals.They can also run scenarios for many different kinds of tests, with full control of all aspects ofthe GNSS operating environment. At Virginia Tech., hardware signal simulators produced bySpirent Communications are currently being used for developing raw data streams for the coursedescribed here. They allow for various scenarios of vehicles as well as atmospheric andpropagation effects on the GNSS constellations (GPS, GLONASS, Galileo, and BeiDou). AGNSS simulator is combined with a spectrum analyzer to demonstrate the spread spectrumconcept in addition to the signal structures for different GNSS systems. Students can control thecontent and characteristics of the GNSS

Conference Session

Issues in Engineering Technolgy Education

Collection

2015 ASEE Annual Conference & Exposition

Authors

Terence Geyer, Eastern Washington University; William R Loendorf, Eastern Washington University

Tagged Divisions

Engineering Technology

is well worth the effort.Conclusions, Reflections, and the FutureWhat instructional planning method is best? The answer is perhaps different for each instructoras a method is selected somewhere along the path of becoming educators. These methods arechosen based on pedagogical methodologies learned or methods used that work in the givenmoment. Most of the educators in engineering programs are required to have higher-leveltechnical-based degrees, but are not necessarily required to have an advanced educational-baseddegree. Are there better instructional planning methods to balancing student and instructorworkload? Can they improve the outcomes for students and instructors? Are the methodspresented in this paper the only possibility? In reality

Conference Session

Fundamental: Metrics & Assessment for K-12 Engineering Education

Collection

2015 ASEE Annual Conference & Exposition

Authors

Cathy P. Lachapelle, Museum of Science; Yoonkyung Oh, Pennsylvania State University; Muhammad Faiz Shams, Museum of Science; Jonathan D Hertel, EiE/Museum of Science; Christine M Cunningham, Museum of Science

Tagged Topics

Diversity

Tagged Divisions

K-12 & Pre-College Engineering

inMassachusetts, Maryland, and North Carolina. Members of the EiE project team conductedprofessional development with the assistance of E4 staff and state coordinators. After beingintroduced to the subject of engineering (with which many had not had significant contact),teachers engaged in hands-on training for their assigned engineering unit as well as a second unitin order to increase exposure to the curriculum. Throughout the workshop, professional Page 26.848.9development staff modeled curriculum-specific pedagogy for teachers by placing them in therole of students while engaging in the activities. Staff also helped participants to reflect asteachers

Conference Session

Broad Perspectives on the Chemical Engineering Curriculum

Collection

2015 ASEE Annual Conference & Exposition

Authors

Daniel Lepek, The Cooper Union; Margot A. Vigeant, Bucknell University; David L. Silverstein P.E., University of Kentucky; Jason M. Keith, Mississippi State University

Tagged Divisions

Chemical Engineering

Polytechnic).Due to the complexity of the survey, the results were broken down into different sections:Program/Department Characteristics, The “First” Course (Fluid Mechanics), The “Second”Course (Heat [and Mass] Transfer), and The “Third” Course (Mass Transfer [and Separations].Some data was available for a “fourth” course (solely separations) and was not included in theanalysis. It is important to note that while these subdivisions do reflect the bulk of the surveyreplies, some overlap in the results does exist due to the wide range of course variations.Program/Department CharacteristicsFaculty size per departmentThe replies from the survey represented 59 different institutions from around the world. As canbe seen in Figure 1, there is a

Conference Session

Electrical and Computer Engineering Curriculum Design and Evaluation

Collection

2015 ASEE Annual Conference & Exposition

Authors

Cory J. Prust, Milwaukee School of Engineering; Richard W. Kelnhofer, Milwaukee School of Engineering; Joerg Mossbrucker, Milwaukee School of Engineering; Kerry R Widder, Milwaukee School of Engineering; Hue V. Tran P.E., Milwaukee School of Engineering; Stephen M. Williams P.E., Milwaukee School of Engineering

Tagged Divisions

Electrical and Computer

courses and their additional effort was reflected in anupward shift in grades as compared to the preceding course. We speculate that this increase isdue to the increased engagement and ownership that students take in designing and building theirown robot. The student’s clearly know ahead of time that meeting milestones will result inhigher grades. All of the milestones are published on the first day of class, and one couldspeculate that a student content with a “B” or “C” would produce only the required effort for thatgrade. However, this is not the case. Students, on the average, expend greater time and effort.Perhaps, EE2930 is the first class in the program that has an open-ended problem, with no single,pre-determined solution. Therefore, the

Conference Session

Shaping the Future: Structured Mentoring for Today's Diverse Engineering Student Populations

Collection

2015 ASEE Annual Conference & Exposition

Authors

Jonathan Gordon, Georgia Institute of Technology; Comas Lamar Haynes, Georgia Institute of Technology; Gary S. May, Georgia Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering

45.2% 24.3% 17.8%Professional/PostdoctoralOther job function 54.8% 75.7% 86.6%N 31 37 415Notes: Χ2 = 13.87; df = 2; p = .001The second research question addressed whether there were differences in terms of preparationin a variety of knowledge, skills, and abilities. The survey asked alumni to reflect on theirgraduate education as well as to describe their current career situation. Retrospectively, alumniwere asked the extent to which they agreed that {institution withheld} adequately prepared themin a variety of skills, abilities, and attributes. A priori, 15

Conference Session

NSF Grantees’ Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Seda McKIlligan, Iowa State University; Meisha Nicole Berg, Iowa State University; Shanna R. Daly, University of Michigan; Kathryn W. Jablokow, Pennsylvania State University, Great Valley; Eli M. Silk, Rutgers, The State University of New Jersey; Wesley Teerlink, Penn State University

Tagged Topics

NSF Grantees Poster Session

compensate for missing information and using it toconstruct the problem space5.Forster et al. have examined how different preparations, variations in goal setting, and alternativetask instructions impact performance6. By framing given design tasks in either a novel or afamiliar manner or by priming participants with reflection on novel or familiar events prior tocompleting a task, it was found that participants with less direct experience associated with agiven problem were more open to being primed in a particular manner. Chen et al. investigatedhow different facilitation effects correlate with the creative performance across differentcultures7. They tested Chinese college students and US college students by providing explicitinstructions to half

Conference Session

First-year Programs Division Technical Session 4: The Best of the All: FPD Best Papers

Collection

2015 ASEE Annual Conference & Exposition

Authors

Chao Wang, Arizona State University; Jennifer Mott, California Polytechnic State University San Luis Obispo

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

. Table 1. Grading Scheme Individual Individual Readiness Assurance Test (iRAT) 10% Quizzes and Exam 20% Journal Reflection 20% Team Team Readiness Assurance Test (tRAT) 5% Design Project 45% Total 100%Two peer evaluations were conducted using CATME. One was around week 9 into the semesterand the other was at the end. The peer evaluation let the students evaluate both themselves andother members on

Conference Session

Communication as Performance

Collection

2015 ASEE Annual Conference & Exposition

Authors

John W. Brocato, Mississippi State University; Amy Barton, Mississippi State University; Kelly Agee, Mississippi State University; Ed Dechert, Mississippi State University; Greg Carlisle, Morehead State University

Tagged Divisions

Liberal Education/Engineering & Society

cause of this engagement problem is not complicated; public speaking has been a top fear ofpeople in the United States for years, often anecdotally but also in a more documented sense,most recently in Chapman University’s “Survey on American Fears,” where public speakingplaced fifth (9.1%) just behind “Being [a] victim of mass/random shooting” (also 9.1%)1.Another persistent problem is lack of experience. As much as any other ability, effective publicspeaking requires repeated practice at delivering talks before audiences and, more importantly,reflection after a talk on what went poorly and the willingness to do it again, better. Assessingthe presentation experiences of, e.g., the general public or U.S. college students is beyond thescope of

Conference Session

First-year Programs Division Technical Session 10: Paying Attention to Retention

Collection

2015 ASEE Annual Conference & Exposition

Authors

Steffen Peuker, California Polytechnic State University; Nova Alexandria Glinski Schauss, Oregon State University

Tagged Divisions

First-Year Programs

-19 Volume 3, 20023. Veenstra, Cindy P., Dey, Eric L., Herrin, Gary D., "A Model for Freshman Engineering Retention", AEE, Volume 1, Issue 3, Winter 20094. Meyers, Kerry L., Silliman, Stephen, E., Gedde, Natalie, L., Ohland, Matthew, W., "A comparison of engineering students’ reflections on their first year experiences.", J. Engineering Education, April 20105. Hutchison, Mica A., Follman, Deborah K., Sumpter, Melissa, Bodner, George M., "Factors influencing the self- efficacy beliefs of first year engineering students", J. Engineering Education, January 20066. Landis, R. B., "Student Development: An Alternative to 'Sink or Swim'", Proceedings of 1994 ASEE Annual Conference, June 19947. Lotkowski, Veronica A., et al. "The Role of

Conference Session

NSF Grantees’ Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Susan M Lord, University of San Diego; Matthew W. Ohland, Purdue University; Richard . Layton, Rose-Hulman Institute of Technology

Tagged Topics

Diversity, NSF Grantees Poster Session

drawn are of particular interest, sincethese affect persistence studies in all disciplines.AcknowledgementsThis material is based upon work supported by the National Science Foundation (NSF) underGrant 1129383 in the Research on Engineering Education (REE) program. The opinionsexpressed in this article are those of the authors and do not necessarily reflect the views of NSF.References1 Lord, S. M., R. A. Layton, and M. W. Ohland, “Trajectories of Electrical Engineering and Computer Engineering Students by Race and Gender,” IEEE Transactions on Education, 54(4), 610-618 (2011).2 Orr, M. K., S. M. Lord, R. A. Layton, and M. W. Ohland, “Student Demographics and Outcomes in Mechanical Engineering in the U.S.,” International Journal of

Conference Session

Thermodynamics, Fluids and Heat Transfer II

Collection

2015 ASEE Annual Conference & Exposition

Authors

Thomas Shepard, University of St. Thomas; Deify Law, California State University, Fresno

Tagged Divisions

Mechanical Engineering

relevantproblems similar to what might be given on quizzes and tests. By working through the problemsstudents may also pay closer attention to readings in the textbook and attend office hours in orderto overcome confusion. Also, as pointed out in Fernandez, Saviz and Burmeister1, the opensetting in which homework is completed is more reflective of engineering practice than time-limited high-stakes exams. The reason for grading homework is commonly to incentivizestudents to give an honest effort and spend the required time to complete the assignment.Past research does provide evidence of the positive impact that graded homework can have onlearning. A review of 15 published studies on elementary and secondary students showed that in85% of the cases

Conference Session

NSF Grantees’ Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Qichao Wang, Virginia Tech; Montasir Abbas P.E., Virginia Tech; Lisa D. McNair, Virginia Tech

Tagged Topics

NSF Grantees Poster Session

interests include interdisciplinary collaboration, design education, communication studies, identity theory and re- flective practice. Projects supported by the National Science Foundation include exploring disciplines as cultures, interdisciplinary pedagogy for pervasive computing design; writing across the curriculum in Statics courses; as well as a CAREER award to explore the use of e-portfolios to promote professional identity and reflective practice. Page 26.60.2 c American Society for Engineering Education, 2015 A Knowledge-Delivery Gravity Model to Improve Game-Aided

Conference Session

Emerging Computing and Information Technologies I

Collection

2015 ASEE Annual Conference & Exposition

Authors

Forough Sheikh-Ansari, Purdue University; Baijian Yang, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Computing & Information Technology

, this imperfection inmeasuring can convincingly reflect the real overhead in a real system.5.1 Hash FunctionsIn the first set of experiments, we measured the H(VM) with several major CryptographicHashing Functions [12]. We chose different hash function to be able to compare them and chosethe best match for our proposed Architecture. Results of H(VM)’s Execution time are shown inthe Table 2. As seen from the results, the CPU processing time of hashing is basically linear tothe size of the VM templates. SHA-384 and SHA-512 has similar processing time due to the factthe construction of the hashing are very similar. An interesting to note was SHA-256 processtime is actually longer time than SHA-384 and SHA-512. This is because SHA-384 and SHA-512

Conference Session

Women in Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Elizabeth Horstman, University of Illinois at Urbana-Champaign; Danielle Jamie Mai, University of Illinois, Urbana-Champaign; Yanfen Li, University of Illinois at Urbana Champaign; Rohit Bhargava, University of Illinois at Urbana-Champaign

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

4institutions. To assess whether the program content matched the interests of the participants,participants were asked to indicate the type of institution(s) to which they plan to apply.Institutions were categorized into four groups: research intensive, research and teachingintensive, teaching intensive, and community college. Participants were also asked to indicate ifthey were interested in tenure or non-tenure track positions. As shown in Figure 2, participants’interests shifted throughout the program. Although no conclusive tends were observed with theparticipants’ change in the type of institution to which they were interested in applying, this datadoes reflect the sentiment of indecision that was observed in the post program interviews

Conference Session

Evaluation: Technology and Tools for K-12 Engineering Education

Collection

2015 ASEE Annual Conference & Exposition

Authors

Maria Alessandra Montironi, UC Davis; Daniel S Eliahu, UC Davis C-STEM Center; Harry H. Cheng, University of California, Davis

Tagged Topics

Diversity

Tagged Divisions

K-12 & Pre-College Engineering

environmentthey were working in. The majority of negative feedback received is related to this theme. Evenwhen students were asked to reflect specifically on the teacher, or the lesson, they often providedcritiques regarding the physical environment. This shows that more care should be taken increating a pleasing environment. Students can be very easily distracted when using computersand the survey shows reducing the environmental distractions should be a higher priority to helpstudents focus on their tasks.There were a wide variety of ethnicities represented in the camp: 17.6% Asian/Pacific Islander;5.9% Hispanic/Latina; 17.6% White/Caucasian; and 41.2% mixed.The percentage of male and female students attending the camp was perfectly split, 41.2