Conference Session

Assessment II: Learning Gains and Conceptual Understanding

Collection

2016 ASEE Annual Conference & Exposition

Authors

Benjamin James Call, Utah State University; Wade H Goodridge, Utah State University; Thayne L Sweeten Ph.D., Utah State University

Tagged Divisions

Educational Research and Methods

forengineering students. Not only would this improve the normality of the data and decrease theneed for additional analytical processes that will reduce the statistical power, but it would alsoallow for improved understanding of student learning and improved assessment of curriculumimpact on student abilities.Funding and AcknowledgementsBenjamin Call is funded by Utah State University’s Presidential Doctoral Research Fellowship.We would like to thank all of the students who participated in the study.References1. Halpern, D. F., & Collaer, M. L. (2005). The Cambridge Handbook of Visuospatial Thinking. Cambridge: Cambridge University Press.2. Sorby, S., Casey, B., Veurink, N., & Dulaney, A. (2013). The role of spatial training in

Conference Session

Works in Progress: Learning and Engagement

Collection

2016 ASEE Annual Conference & Exposition

Authors

Carli Denyse Flynn, Syracuse University; Cliff I. Davidson, Syracuse University; Sharon Dotger, Syracuse University

Tagged Divisions

Educational Research and Methods

identified by the RACI. Inquiry-based learning activities were designedusing variation theory4 to challenge students’ conceptual understanding of rate and accumulationprocesses across multiple contexts. Activities include the use of toy bricks to construct rate andaccumulation graphs. These activities will be tested in a required sophomore civil andenvironmental engineering course. The success of these activities will be measured usingformative assessments and pre-post course RACI scores. An observation protocol will also beused to assess students’ responses to the class activities5.References1. Flynn, C.D., Davidson, C.I., Dotger, S., 2014. Engineering Student Misconceptions about Rate and Accumulation Processes, in: ASEE 2014 Zone I

Conference Session

International Division Technical Session 7

Collection

2016 ASEE Annual Conference & Exposition

Authors

Larry J. Shuman, University of Pittsburgh; Renee M. Clark, University of Pittsburgh; Scott Duplicate Streiner, University of Pittsburgh; Mary E. Besterfield-Sacre, University of Pittsburgh

Tagged Divisions

International

programs best provide students from diverse backgrounds with a variety ofinternational experiences to maximize their global preparedness? These are questions we haveset about to answer as part of a large, multi-university study5.Specifically, in this NSF funded study of the effectiveness of various forms of internationalexperiences, we have used a nationally recognized and normed instrument to survey both firstyear and senior engineering students initially at four partner institutions, and more recently at anadditional dozen engineering programs throughout the U. S. In doing this, questions arose thatwe needed to address if we were going to better understand the impact of the various forms ofinternational educational experiences available to

Conference Session

Best of DEED

Collection

2016 ASEE Annual Conference & Exposition

Authors

Jessica Menold, Pennsylvania State University, University Park; Kathryn W. Jablokow, Pennsylvania State University; Timothy W. Simpson, Pennsylvania State University, University Park; Emily A. Waterman, Pennsylvania State University

Tagged Divisions

Design in Engineering Education

ofmultiple ideas through low-fidelity prototyping allows practitioners to reframe failure as anopportunity for learning, supports a sense of forward progress, and strengthens beliefs aboutcreative ability”25. Our work adds to this growing body of literature by exploring what aspects ofprototyping student engineers are aware of as they engage in the design process, specificallyduring prototyping activities.    2.2 Prototyping Literature    In this work, we use Christie et al.’s definition of a prototype as “an initial instantiation of aconcept as part of the product development process”37. Prototyping represents a large sunk costfor most companies that is overcome through the launch of a successful product; however,estimates indicate that 40-50% of

Conference Session

Engineering Physics Technical Session 3

Collection

2016 ASEE Annual Conference & Exposition

Authors

Kanti Prasad, University of Massachusetts, Lowell

Tagged Topics

Diversity

Tagged Divisions

Engineering Physics & Physics

1+|𝑇 | 1+0.88356VSWR = 1−|𝑇𝐿| = 1−0.88356 = 16.176 𝐿Example: 2.2Design a broadband amplifier making use of negative feedback and calculate the S-Parameters for the equivalent circuit of the amplifier given below:Using again the Kirchhoff’s current and voltage laws, the Admittance matrix 𝑦11 𝑦12[𝑦 ] can be derived as, 21 𝑦22 1 1 𝑖 𝑅2 −𝑅2 𝑣1[ 1] = [ 1 ] [𝑣2 ] 𝑖2 𝑔𝑚 −𝑅 1 1+𝑔𝑚 2 𝑅2From the y matrix, the S-matrix can be derived as 1 𝑔𝑚 𝑍0S11= S22 = 𝐷[1- 𝑅 ] 2 (1+𝑔𝑚 𝑅1 ) 1 −2𝑔 𝑍

Conference Session

Biomedical Division Poster Session

Collection

2016 ASEE Annual Conference & Exposition

Authors

Carrie A. Francis, University of Wisconsin - Madison; Rachel L Lenhart, University of Wisconsin - Madison; Jason R. Franz, University of North Carolina - Chapel Hill and North Carolina State University; Jarred Kaiser, Boston University; Joseph Towles PhD, University of Wisconsin - Madison

Tagged Divisions

Biomedical

. Our goal is to build an online repository of well-tested, education standards-compliant biomechanics activities that are both educational and inspirational to a diverse groupof middle grade students.Bibliography 1. Brophy S, S Klein, M Portsmore, C Rogers. Advancing Engineering Education in P-12 Classrooms. Journal of Engineering Education 97(3): 369-387, 2008. 2. Douglas J, E Iversen, C Kalyandurg. Engineering in the K-12 Classroom: An Analysis of Current Practices and Guidelines for the Furture. Washington, DC: American Society for Engineering Education. http://www.engineeringk12.org/Engineering_in_the_K-12_Classroom.pdf, 2004. 3. Pearson G and T Young (Ed.). Technically Speaking: Why All Americans Need to Know

Conference Session

K-12 & Pre-College Engineering Division: Robotics in Pre-K-12 Engineering Education

Collection

2016 ASEE Annual Conference & Exposition

Authors

Nicholas Alexander Bascou, University of Pittsburgh; Muhsin Menekse, Purdue University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division

Conference Session

NSF Grantees Poster Session II

Collection

2016 ASEE Annual Conference & Exposition

Authors

Mary R. Anderson-Rowland, Arizona State University; Armando A. Rodriguez, Arizona State University

Tagged Topics

Diversity, NSF Grantees Poster Session

mentoring of students, especially women and underrepresented minority students, and her research in the areas of recruitment and retention. A SWE Fellow and ASEE Fellow, she is a frequent speaker on career opportunities and diversity in engineering. c American Society for Engineering Education, 2016Highlights of Over a Decade of University/Community College PartnershipsAbstractIn 2002, an NSF sponsored (# 0123146) S-STEM academic scholarship program for upperdivision engineering and computer science (designated as ENGR) students materialized atArizona State University with about half of the students being transfer students. This directedattention to the need for more support for potential and actual transfer ENGR

Conference Session

Division Experimentation & Lab-Oriented Studies: Electrical and Control Engineering

Collection

2016 ASEE Annual Conference & Exposition

Authors

Dustyn Roberts P.E., University of Delaware; Andrew Peter Borowski, University of Delaware

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

Support Hands-on Learning in the Teaching of Control and Systems Theory,” Engineering Education, vol. 9, no. 1, pp. 62–73, Jul. 2014.[5] P. S. Shiakolas and D. Piyabongkarn, “Development of a real-time digital control system with a hardware-in- the-loop magnetic levitation device for reinforcement of controls education,” IEEE Transactions on Education, vol. 46, no. 1, pp. 79–87, Feb. 2003.[6] R. M. Reck and R. S. Sreenivas, “Developing a new affordable DC motor laboratory kit for an existing undergraduate controls course,” in American Control Conference (ACC), 2015, 2015, pp. 2801–2806.[7] S. S. Nudehi, P. E. Johnson, and G. S. Duncan, “A control systems laboratory for undergraduate mechanical engineering

Conference Session

New Pedagogical Approaches in Chemical Engineering

Collection

2016 ASEE Annual Conference & Exposition

Authors

Anthony Butterfield, University of Utah; Kyle Joe Branch, University of Utah

Tagged Divisions

Chemical Engineering

Paper ID #15618Collaboration between Seniors and Freshmen on Senior Capstone ProjectsProf. Anthony Butterfield, University of Utah Anthony Butterfield is an Assistant Professor (Lecturing) in the Chemical Engineering Department of the University of Utah. He received his B. S. and Ph. D. from the University of Utah and a M. S. from the University of California, San Diego. His teaching responsibilities include the senior unit operations laboratory and freshman design laboratory. His research interests focus on undergraduate education, targeted drug delivery, photobioreactor design, and instrumentation.Kyle Joe Branch

Conference Session

Engineering Librarians: Impacting the Past, Present, and Future

Collection

2016 ASEE Annual Conference & Exposition

Authors

Daniela Solomon, Case Western Reserve University; Matthew R Marsteller, Carnegie Mellon University

Tagged Divisions

Engineering Libraries

engineering librarians in thoseservices. The study involved the engineering librarians at all United States Class 15 (Very HighResearch Activity (RU/VH)) and Class 16 (High Research Activity (RU/H)) institutions per the2010 Basic Carnegie Classification of Institutions of Higher Education. The Classifications DataFile can be obtained at http://carnegieclassifications.iu.edu/2010/resources/. IRB clearance forthe survey was obtained from both [university A] and [university B]. The authors gathered the e-mail addresses of the engineering librarian(s) by inspection of the library website of eachinstitution. The survey was meant to elicit responses from a population that include theengineering librarians at all doctoral degree granting institutions

Conference Session

Out-of-school-time Engineering: Implications for Underrepresented Students

Collection

2016 ASEE Annual Conference & Exposition

Authors

Lisa Shatz, Suffolk University; Kerrie Pieloch, Suffolk University; Emily Shamieh, Latino-STEM Alliance

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering

fair was used to make families aware of the manySTEM resources in Boston as well as to pique their interest in STEM. Engaging families is apriority of the LSA in order to encourage parents to advocate for STEM offerings in schools, aswell as to encourage the parents, who are often very young, to consider STEM education andcareer pathways for themselves.Another key feature of this event was the participation of NSF S-STEM electrical engineeringscholars from Suffolk University, who are graduates of Boston Public High Schools and who arepredominantly students of color themselves. These students engaged the fair participants inhands-on experiments about energy and electricity and served as role models for the participantsand their families

Conference Session

NSF Grantees Poster Session I

Collection

2016 ASEE Annual Conference & Exposition

Authors

Ning Fang, Utah State University; Oenardi Lawanto, Utah State University; Wade H Goodridge, Utah State University; Idalis Villanueva, Utah State University

Tagged Topics

Diversity, NSF Grantees Poster Session

upon work supported by the National Science Foundation under Grant No.1262806. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundation. Graduate students Mr. Andreas Febrian, Mr. Matthew Cromwell, Mr. Moe Tajvidi,Ms. Maria Manuela, and Mr. Ben Call are acknowledged for their efforts in assisting inmentoring REU students. The project external evaluator Dr. Margaret Lubke is alsoacknowledged for her efforts in conducting independent evaluation of this program.Bibliography[1] Russell, S. H., Hancock, M. P., and McCullough, M., 2007, “The Pipeline: Benefits of Undergraduate Research Experiences,” Science, Vol

Conference Session

Modeling and Simulation

Collection

2016 ASEE Annual Conference & Exposition

Authors

Elif Miskioglu, Bucknell University; Kaela M Martin, Embry-Riddle Aeronautical University, Prescott

Tagged Divisions

Computers in Education

“engineering intuition.”References1 Raskin, P. Decision-Making by Intuition--Part 1: Why You Should Trust Your Intuition. Chemical Engineering 95, 100 (1988).2 Gigerenzer, G. Short cuts to better decision making. (Penguin, 2007).3 Kahneman, D. Thinking, fast and slow. (Farrar, Strauss, and Giroux, 2011).4 Elms, D. G. & Brown, C. B. Intuitive decisions and heuristics–an alternative rationality. Civil Engineering and Environmental Systems 30, 274-284 (2013).5 Dreyfus, S. E. & Dreyfus, H. L. A Five-Stage Model of the Mental Activities Involved in Directed Skill Acquisition (A155480). (1980).6 Chen, J. C., Whittinghill, D. C. & Kadlowec, J. A. Classes that click: Fast, rich feedback to enhance

Conference Session

Potpourri

Collection

2016 ASEE Annual Conference & Exposition

Authors

Roxanne Moore, Georgia Institute of Technology; Douglas Edwards, Georgia Institute of Technology; Jason Freeman, Georgia Institute of Technology; Brian Magerko, Georgia Institute of Technology; Tom McKlin, SageFox Consulting Group; Anna Xambo, Georgia Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Computing & Information Technology

Science Foundation (CNS #1138469, DRL#1417835, and DUE #1504293), the Scott Hudgens Family Foundation, and the Arthur M. BlankFamily Foundation.References[1] J. M. Wing, “Computational thinking and thinking about computing,” Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 366, no. 1881, pp. 3717–3725, 2008.[2] M. Guzdial and E. Soloway, “Teaching the Nintendo generation to program,” Commun. ACM, vol. 45, no. 4, pp. 17–21, Apr. 2002.[3] A. Bruckman, M. Biggers, B. Ericson, T. McKlin, J. Dimond, B. DiSalvo, M. Hewner, L. Ni, and S. Yardi, “‘Georgia computes!’: improving the computing education pipeline,” in Proceedings of the 40th ACM technical symposium on Computer

Conference Session

Distance Learning in ET Programs

Collection

2016 ASEE Annual Conference & Exposition

Authors

Vukica M. Jovanovic, Old Dominion University; Megan Mize, Old Dominion University; Rochelle Rodrigo, University of Arizona; Alok K. Verma P.E., Old Dominion University

Tagged Divisions

Engineering Technology

implementation. Peer Review, 16(1), 1-8. Retrieved from https://www.aacu.org/peerreview/2014/winter/linking-advising-and- eportfolios-for-engagementAshikin, H. T., Ruhizan, M. Y., & Rohani, S. (2015). E-portfolio model development for the professional practice bachelor of teaching (PISMP) in Malaysia. Procedia - Social and Behavioral Sciences, 174, 1262-1269. http://dx.doi.org/10.1016/j.sbspro.2015.01.746Cheng, S.-I., Chen, S.-C., & Yen, D. C. (2015). Continuance intention of E-portfolio system: A confirmatory and multigroup invariance analysis of technology acceptance model. Computer Standards & Interfaces, 42, 17-23. http://dx.doi.org/10.1016/j.csi.2015.03.002Dunbar-Hall, P., Rowley, J

Conference Session

Electrical and Computer Division Poster Session

Collection

2016 ASEE Annual Conference & Exposition

Authors

Liang Hong, Tennessee State University; Shiwen Mao, Auburn University

Tagged Divisions

Electrical and Computer

Emulation Engine (BEE) (both Ettus Research and BeeCube were part of NationalInstruments Corporation now), Rice University’s Wireless Open-Access Research Platform(WARP), Microsoft Research’s Software Radio Platform for Academic Use (SORA), andDatasoft’s Typhoon SDR Development Platform. Due to the highest versatility for lowest cost,USRP N200 kit 18 and SBX daughterboard 18 that provides 400 MHz-4400 MHz accessiblefrequency range were selected for the REU project and the educational module presented in thefollowing two sections. The main component of the USRP N200 kit is a motherboard thatconsists of a Xilinx Spartan FPGA for all the physical layer functions such as filtering,modulation/demodulation and other baseband signal processing, 100 MS/s

Conference Session

Engineering Cultures and Identity

Collection

2016 ASEE Annual Conference & Exposition

Authors

Anita Patrick, University of Texas, Austin; Maura Borrego, University of Texas, Austin

Tagged Topics

ASEE Diversity Committee, Diversity

Tagged Divisions

Educational Research and Methods

these identity frameworks in the broaderliterature. To be fair, in the broader literature there have only been a few claims that identity isexplicitly distinct from other constructs such as self-efficacy2 or the expectancy-value theory ofachievement motivation.3 However, in the last five years some have made this distinction. Forexample, Lent, R. W., Brown, S. D., & Hackett, G.4 expand on Bandura’s theory of self-efficacyto the extent of illuminating the importance of self-efficacy in academic persistence. While thisis not explicitly identity, self-efficacy is a theoretically relevant construct that had to be takeninto consideration in this review as it is often associated with identity measures.Table 1 Categorization of Identity Studies by

Conference Session

Women in Engineering Division Technical Session - Understanding and Improving Female Faculty Experiences in STEM

Collection

2016 ASEE Annual Conference & Exposition

Authors

Lydia Ross, Arizona State University; Eugene Judson, Arizona State University; Stephen J Krause, Arizona State University; James A Middleton, Arizona State University; Casey Jane Ankeny, Arizona State University; Ying-Chih Chen, Arizona State University; Robert J Culbertson, Arizona State University; Keith D. Hjelmstad, Arizona State University; Yong Seok Park, Arizona State University; Bethany B Smith, Arizona State University

Tagged Topics

ASEE Diversity Committee, Engineering Deans Council

Tagged Divisions

Women in Engineering

instruction. College teaching, 44(2), 43-47. 
2. Freeman, 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. PNAS 11 (23), 8410- 8415.3. Jungst, S., Likclider, L. L., & Wiersema, J. (2003). Providing Support for Faculty Who Wish to Shift to a Learning-Centered Paradigm in Their Higher Education Classrooms. The Journal of Scholarship of Teaching and Learning 3(3), 69-81.4. Felder, R. M., & Brent, R. (1996). Navigating the bumpy road to student-centered instruction. College teaching, 44(2), 43-47.5. Prince, M. (2004). Does Active Learning Work? A Review of the Research

Conference Session

Student Success I: Interventions and Programs

Collection

2016 ASEE Annual Conference & Exposition

Authors

Sara Hahler, Louisiana Tech University; Marisa K. Orr, Louisiana Tech University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

1 = Black/African American Louisiana Residency (State) 0 = Non-Resident 1 = Resident High School Rank (HSRank) 0.2 – 100 High School GPA (HSGPA) 1.59 – 4.0 ACT component scores Science Score (ACT S) 7 – 36 Mathematics Score (ACT M) 14 – 36 English Score (ACT E) 11 – 36 Reading Score (ACT R) 12 – 36ParticipantsThe participants involved in this study include first-time-in-college (FTIC) freshmen whoentered the university in any school year between 2006 and 2015 and declared an engineeringdiscipline as their major. Enrollment in a university seminar class that all FTIC freshmen

Conference Session

Mathematics Division Technical Session 1

Collection

2016 ASEE Annual Conference & Exposition

Authors

Jing Zhang, Virginia State University; Yongjin Lu, Virginia State University ; Zhifu Xie, Virginia State University; Dawit Haile, Virginia State University; Keith Williamson, Virginia State University

Tagged Divisions

Mathematics

increases. Thus we denoteproduction cost as ci (z), where the first derivative ciz < 0. In addition, let s(β, γ)denote the collaboration cost. The mathematical model for the firm’s payoff is: ΠI = b1 z − M − s(β, γ) − ci (z) (2)where b1 is a positive constant and b1 >> 0. We assume furthermore that s(β, γ)is convex with respect to both β and γ. The collaboration cost increases as the GAME THEORY APPROACH ON A UNIVERSITY-INDUSTRY COLLABORATION MODEL 7relevance γ decreases, but at a decay rate. That is, sγ < 0 and sγγ > 0. And ci (z)is also convex with respect to z.2.5. Formulation of the University’s Model. The payoff of the university fromthe collaboration

Conference Session

Fostering Transformational Change in Civil Engineering

Collection

2016 ASEE Annual Conference & Exposition

Authors

William J. Davis P.E., The Citadel; Simon Thomas Ghanat P.E., The Citadel; Kevin C Bower P.E., The Citadel

Tagged Divisions

Civil Engineering

provide further insight intostudent perceptions. The following observations are noted for data summarized in Table 7:  The highest survey response (96%) was noted for perceived student understanding of professional and ethical responsibility. This outcome also has the lowest standard deviation (9%) indicating a concurrence of student perception on this professional skills outcome and providing further evidence of a strong positive response.Table 5. FE Exam Ethics and Business Practice Results, 2009-2015 (n=220) FE Exam Institution CE National Avg. Ratio of Institutional Avg. Administration Avg. % Correct % Correct % Correct / National Avg. S 2009 (2) 88

Conference Session

Supply Chain and Logistics in Manufacturing Education

Collection

2016 ASEE Annual Conference & Exposition

Authors

Victor Taratukhin, Stanford University; Yulia Yadgarova P.E., Bauman Moscow State Technical University; Anastasia Stelvaga, Skolkovo Institute of Science and Technology

Tagged Divisions

Manufacturing

: M = {X, Y, S, ta, δext , δint , λ},Where:X - set of input events;Y - set of output events;S - set of sequential states (also called the set of partial states);ta - time advance function used to determine the lifespan of a state;δext : Q × X → S - the external transition function defining how an input event changes astate of the systemδint : S → S - the internal transition function describing the way how system state changesinternally ϕ ϕλ :S →Y - is the output function where Y =Y ∪{φ} and φ ∉Y is a ”silent” or an”unobserved” event.Our model consists of the several equipment units represented as atomic models. Units statesare updated dynamically starting from the physical representation of the

Conference Session

Automation, Instrumentation, and Computer Simulations

Collection

2016 ASEE Annual Conference & Exposition

Authors

Xavier Shastri Domnique Henry, University of Maryland, Eastern Shore; Madhumi Mitra Ph.D., University of Maryland, Eastern Shore; Abhijit Nagchaudhuri, University of Maryland, Eastern Shore; Lei Zhang, University of Maryland, Eastern Shore

Tagged Divisions

Energy Conversion and Conservation

activities were internalized, benefitted their development, and could possibly be improved to maximize impact on subsequent cohorts.A. Academic outcomes from the project C.1 The objectives of this project were consistent with my research interests C.2 This experiential learning project had an impact on my hands-on/laboratory skills and data collecting skills Which one(s) in particular? C.3 This project had an impact on my presentation skills Which ones(s) in particular? C.4 This project developed my technical skills C.5 This activity enhanced my content knowledge? C.6 I was able to integrate knowledge from many different sources and disciplines (example, chemistry, biology, engineering, technology, computer science, environmental sciences, etc)B

Conference Session

Instrumentation Technical Session

Collection

2016 ASEE Annual Conference & Exposition

Authors

David R. Loker, Pennsylvania State University, Erie; Stephen A. Strom, Pennsylvania State University, Erie

Tagged Divisions

Instrumentation

. Responses Questions Team consisting of Team consisting of two students individual student (one h/w focused and one s/w focused)Approximate time • 55 total hours (30 hours for s/win hours you • 24 hours focused student and 25 hours for h/wworked on this focused student)projectLevel of difficulty(1  5, with 1 asextremely easy, 3 as • 4.3 for s/w focused student • 4moderately difficult, • 4 for h/w focused student5 as extremelydifficult

Conference Session

College Industry Partnerships Division Technical Session III: Collaboration

Collection

2016 ASEE Annual Conference & Exposition

Authors

Diane L Peters PE, Kettering University; Anne M Lucietto, Purdue University

Tagged Divisions

College Industry Partnerships

survey examinesthese collaborative relationships only in the United States, while it is important to include foreignliterature in the historical development of these relationships.BackgroundIndustry-academia collaboration is not a new concept as we find the earliest discussion occurringat the end of the 1960’s,3 in Russia. These collaborations sponsored by the governments ofcountries4,5 interested in promoting this kind of activity, eventually became individualrelationships between companies and universities throughout the rest of the world. Currentliterature indicates that such relationships became more of the norm in the late 1990’s and in thelast decade commonplace in various forms. Recently, consideration of minorities, women, andother

Conference Session

First-Year Programs Division Technical Session 6: Design and Design Chanllenges

Collection

2016 ASEE Annual Conference & Exposition

Authors

Sean P Brophy, Purdue University, West Lafayette

Tagged Divisions

First-Year Programs

is having difficulties in their process and step in to assist.Design challenges provide a safe environment for students to feel the pressure of working on achallenge problem with a tight timeline. However, the stakes are not so high that failure iscatastrophic. In addition, they see where they are failing and work to develop methods toanticipate failure conditions and avoid them. Further studies need to be performed to determineif students’ increase in skills and confidence transfer to their other design experience in theiracademic and professional careers.REFERENCES 1. ABET. (2000). ABET Engineering criteria 2000: criteria for accrediting programs in engineering in the United States. 2. Jamieson, L., Brophy, S., Houze, N

Conference Session

Revitalization of Manufacturing Education

Collection

2016 ASEE Annual Conference & Exposition

Authors

Tzu-Liang Bill Tseng, University of Texas, El Paso; Aditya Akundi, University of Texas, El Paso; Richard Chiou, Drexel University

Tagged Divisions

Manufacturing

0 0 3For calculating the TE values represented in table 2, based on TE equation, joint probabilities arecalculated for emerging node degrees observed in table 1. Table 2. Transfer Entropy values calculated based on table 1 Source Node Destination Node Transfer Entropy Transfer Entropy (S) (D) (S-D) (D-S) N1 N2 0 0.2442191 N2 N3 0 0.2073259 N3 N4 0.09370405 0 N4 N5 0.150515

Conference Session

Two-Year to Four-Year Transfer Programs: Best Practices

Collection

2016 ASEE Annual Conference & Exposition

Authors

Surendra K. Gupta, Rochester Institute of Technology (COE); James E Moon, Rochester Institute of Technology (COE); Mike Eastman, Rochester Institute of Technology (CAST); Daniel P Johnson, Rochester Institute of Technology (CAST); Todd Dunn, Rochester Institute of Technology (CAST)

Tagged Divisions

Two Year College Division

Engineering Education, 2016 Performance of Engineering and Engineering Technology Scholars in the Transfer Pipeline (TiPi) ProgramAbstractThis paper introduces the Transfer Pipeline (TiPi) Scholars’ program funded by the NationalScience Foundation (NSF) that focuses on students who transfer at the 3rd year level from 2-yearschools to our university. The objectives of the TiPi program are: (i) to address a nationalconcern by helping to expand the engineering/technology workforce of the future, (ii) to developlinkages and articulations with 2-year schools and their S-STEM programs, (iii) to serve as amodel for other selective universities to provide transfer students the access to the baccalaureate,(iv) to give scholars hands-on

Conference Session

NSF Grantees Poster Session II

Collection

2016 ASEE Annual Conference & Exposition

Authors

Katherine Christine Tetrick, Washington State Univeristy; Eve A. Riskin, University of Washington; John B. Schneider, Washington State University; Sonya Cunningham, University of Washington

Tagged Topics

Diversity, NSF Grantees Poster Session

- Non- STAR Non- STAR STAR STARS STAR S STARS S S S Year-to-year retention in N/A N/A 73% 62% N/A N/A Engineering Year-to-year retention at N/A N/A 77% 73% N/A N/A university Average cumulative GPA 2.26 2.34 2.64 2.80 2.74 2.35 Performance in math courses 1.96 1.68 1.85 2.04 2.68 2.35 Performance in