Conference Session

Enhancing the Underrepresented Student Experience

Collection

2014 ASEE Annual Conference & Exposition

Authors

Catherine Michelle Mazak, University of Puerto Rico, Mayaguez; Cristopher B. Font-Santiago; Aidsa I. Santiago-Román, University of Puerto Rico, Mayaguez

Tagged Divisions

Minorities in Engineering

c American Society for Engineering Education, 2014 Effects of Language on CATS PerformanceAbstractThe University of Puerto Rico, Mayagüez (UPRM) is an officially bilingual university whereengineering classes may be taught in Spanish, English, or a combination of both languages.Spanish is the home language of 91% of undergraduates at UPRM. Because of low performanceon the Concept Assessment Tool for Statics (CATS) (around 29% compared to the results ofother institutions, which ranged from 30-70%), a Spanish version of CATS (CATS-S) wasdeveloped. Ten Hispanic senior civil engineering students were recruited and divided into twogroups, control and experimental. The control group was assigned the original CATS version

Conference Session

Improving Visualization Skills

Collection

2011 ASEE Annual Conference & Exposition

Authors

Norma L Veurink, Michigan Technological University; Sheryl A. Sorby, Michigan Technological University

Tagged Divisions

Engineering Design Graphics

graphics content andshows the statistical significance of the differences from the experimental group.Table 1: Average grades in freshmen engineering courses with significant graphics content andstatistical significance of difference from the experimental group (Grades from students withmatriculation dates between fall 1996 and fall 2002.) Marginally CG EG Passed PSVT:R CAD 3.28 3.38 3.32 N.S. N.S. (s=1.059, n=31) (s=0.927, n=47) (s=0.824, n=26) Graphics/sketching 2.81

Conference Session

Assessment of Engineering Technology Programs

Collection

2008 Annual Conference & Exposition

Authors

Carol Lamb, Youngstown State University; David Kurtanich

Tagged Divisions

Engineering Technology

visit. The department, as a whole, had information fromalumni and employer surveys, which we were able to use for some outcomes assessment. Thedepartment did not have any real hard data to present regarding student(s) learning outcomes,course accomplishments with respect to the student(s) and, obviously, therefore could not assesscourse outcomes or individual program outcomes. Nor could the department/program evenbegin to look at closing the loop of making changes to improve a course or program for thestudents. What was the view from the trenches at this point? We were in the middle of a neverending downpour and the trench was filling up fast. As a department there was not a clear sense of what TAC-ABET was looking for andwhat the

Conference Session

Interdisciplinary Education

Collection

2004 Annual Conference

Authors

Brian Alenskis

attention is paid to how the plan itself is executed.Most of the literature in the field simply ignores this aspect of the problem solving. The otherstypically provide little more than “Show all your work.”, as though knowing how to execute theplan mathematically is obvious, elementary or does not significantly relate to problem solvingsuccess. Table 1 shows examples of summarized, mathematical step guidance provided thestudent once the solution plan is developed: Specific guidance in executing solution plan. Author(s) [8]Create and solve mathematical model. KremerCarry out the plan

Collection

2001 Annual Conference

Authors

John Heydweiller; Huang-Chin Hung

represented by the transfer function G(s) that relates the observed pH to the pH in the reactor. → X(s) → G(s) → Y(s) Batch Reactor pH meterThe input to the meter is represented by: X(s) = L [ x(t) - x(0) ] (1)where L is the Laplace transform operator. The output of the meter is represented by: Page 6.414.2 Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition Copyright  2001, American Society for Engineering Education

Conference Session

NSF Grantees Poster Session

Collection

2009 Annual Conference & Exposition

Authors

Hamid Vakilzadian, University of Nebraska, Lincoln; Dietmar Moeller, University of Hamburg

Engineering. His current research interests include computational modelling and simulation, e-Learning, transportation, air-transport systems, aeronautical engineering, robotics, and embedded systems. Page 14.999.1© American Society for Engineering Education, 2009 Qualification and Assessment Requirements for Simulation-Based Electrical Engineering EducationAbstractModeling and Simulation (M&S) is a discipline for developing an understanding of theinteraction of the parts or of a whole system. The level of understanding developed usingM&S is rarely achievable using other disciplines. However

Conference Session

Integrating Math, Science, & Engineering

Collection

2006 Annual Conference & Exposition

Authors

Leslie Keiser, University of Tulsa; William Hamill, University of Tulsa; Bryan Tapp, University of Tulsa; William Potter, University of Tulsa; Jerry McCoy, University of Tulsa; Peter LoPresti, University of Tulsa; Donna Farrior, University of Tulsa; Shirley Pomeranz, University of Tulsa

Tagged Divisions

Mathematics

Figure 4. Comparison of Conceptions of Mathematics Inventory (CMI) Results. CMI given at start of fall 2004 Calculus I and at end of spring 2005 Calculus II. Data collected for 48 students who took both fall 2004 and spring 2005 CMI . AVERAGE VALUES. 1 2 3 4 5 6 I . N a tu r e o f M a th e m a tic a l K n o w le d g e 1 . C o m p o s itio n o f M a th e m a tic a l F a ll: 3 .8 7 S p r i n g : 3 .7 2 K n o w le d g e K n o w l e d g e a s f a c t s , f o r m u l a s, a n d

Conference Session

ECE Lab Development and Innovations

Collection

2005 Annual Conference

Authors

David Mauritzen

. Although this will "cos t" you tim e before the lab, it will s ave you tim e after the experim ent is perform ed becaus e you will know what to do and what to expect (thus minim izing confus ion and tim e consum ing rework). Enough background m aterial is included in the early experim ents so that they are (hopefully) independent of the cours e m aterial and s equence. The background inform ation also includes an as sociation with concepts from Mechanical Engineering and Phys ics so that m echanical engineering m ajors can develop an understanding of electrical circuits by analogy and electrical engineering m ajors can develop a better unders tanding of mechanical s ys tem s . L AB O R AT O R Y Z E R O C O M P U T E R U S E I S M AN D AT

Collection

2001 Annual Conference

Authors

Edwin Zivi; Jenelle Piepmeier

Session 2220 Dynamic System Animation Within a Simulink Laboratory Environment Edwin Zivi, Jenelle Armstrong Piepmeier U.S. Naval AcademyAbstractRecent innovations in the animation of student developed, laboratory simulations have beenfound to significantly improve student understanding and enthusiasm. This animation canbe implemented using Matlab s-functions that are typically called from a Simulinksimulation. These rudimentary animations have been found to be relatively easy toconstruct and well received by students. General observations and

Conference Session

Minorities in Engineering Division Technical Session 5

Collection

2018 ASEE Annual Conference & Exposition

Authors

Sarah Hug, Colorado Evaluation & Research Consulting

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering

of peer support to achieve in higher education [2]. Co-curricular and informal learning opportunities can provide students access to expert thinking intheir disciplines, and can improve retention in the sciences [3]. S-STEM scholarship programswere designed to provide curricular, co-curricular, and financial support to students withfinancial need who are underrepresented in STEM fields. Results from S-STEM programindicate scholars experience greater retention and higher achievement than their peers, [4,5,6] yetlittle is known about how S-STEM scholarship programs shape students’ professional identitiesin their fields.The Cybersecurity National Science Foundation S-STEM scholarship project is a joint effortbetween two- year and four-year

Conference Session

NSF Grantees Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Marialice Mastronardi, University of Texas, Austin; David R. Brown, Foundation for California Community Colleges; John Krupczak Jr., Hope College; Maura Borrego, University of Texas, Austin

Tagged Topics

NSF Grantees Poster Session

Division; Senior Fellow CASEE, National Academy of Engineering, 2008-2010; Program Officer, NatDr. Maura Borrego, University of Texas, Austin Maura Borrego is Director of the Center for Engineering Education and Professor of Mechanical Engi- neering and STEM Education at the University of Texas at Austin. Dr. Borrego is Senior Associaate Editor for Journal of Women and Minorities in Science and E ©American Society for Engineering Education, 2023 Lessons Learned from a Capacity-Building Workshop for Two-Year Colleges seeking U.S. National Science Foundation FundingAbstractThe Scholarships in Science, Technology, Engineering, and Mathematics (S-STEM) program,managed by the U.S

Conference Session

Cultivating Engineering Scholarship and Research Mindsets Among URM Students

Collection

2015 ASEE Annual Conference & Exposition

Authors

David M. Ford, University of Massachusetts, Amherst; Paula Rees, University of Massachusetts, Amherst; Kathleen G. Rubin, University of Massachusetts Amherst

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering

the Associate Dean for Student Affairs in the UMass Amherst College of Engineering. She has over 30 years experience in recruiting, retaining and graduating engineering students. From 2003 through 2007, she also served as Director of Education, Outreach and Diversity for CASA - an NSF Engineering Research Center. She has been a Co-PI and Program Director for several previous CSEM and S-STEM awards. Page 26.1543.1 c American Society for Engineering Education, 2015 The Impact of Federally Funded Scholarship Programs on the Success of Transfer Students at a Public

Conference Session

Multidisciplinary Design

Collection

2003 Annual Conference

Authors

Rudolph Eggert

Table 1, approximately 50 percent of all engineers worked inmanufacturing companies, 27 percent worked in engineering services, 12 percent forgovernment, and three percent self-employed. Approximately eight percent were classified asothers. Table 1. Engineering employment (U. S. Bureau of Labor Statistics8). Employment Employer Thousands % Manufacturing 732 50 Engineering Services 401 27 Government 179 12 Self-employed 43 3

Collection

1998 Annual Conference

Authors

Susan M. Blanchard; John D. Enderle

. rd5. L. A. Geddes and L. E. Baker, Principles of Applied Biomedical Instrumentation, 3 Ed., New York: John Wiley & Sons, Inc., 1989. nd6. W. Welkowitz, S. Deutsch, and M. Akay, Biomedical Instruments: Theory and Design, 2 Ed., San Diego: Academic Press, 1992. Page 3.380.17. J. D. Enderle, S. M. Blanchard, and J. D. Bronzino. Introduction to Biomedical Engineering. Academic Press. In Press. Table 1: Chapters in Introduction to Biomedical Engineering Chapter Title

Conference Session

Transformative Learning in STEM: Accessibility, Social Impact, and Inclusivity in Higher Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Motahareh Darvishpour Ahandani, Arizona State University, Polytechnic Campus; Jennifer M Bekki, Arizona State University

Tagged Topics

Diversity

Tagged Divisions

Culture & Social Justice in Education Division (EQUITY), Equity

capture the nuanced experiences of this group, as well as anacademic culture that inadvertently maintains exclusions. Future work will look to identify andamplify these root causes so that they can be attended to, in turn supporting the development ofeffective mental health interventions for all graduate students.ReferencesArksey, H., & O'Malley, L. (2005). Scoping studies: towards a methodological framework. International Journal of Social Research Methodology, 8(1), 19-32. https://doi.org/10.1080/1364557032000119616Anandavalli, S., Borders, L. D., & Kniffin, L. E. (2021). "Because Here, White is Right": Mental Health Experiences of International Graduate Students of Color from a

Conference Session

ECE Education and Engineering Mathematics

Collection

2004 Annual Conference

Authors

Seyed Zekavat

An Evaluation of the Teaching Approach for the Interdisciplinary Course Electrical Engineering for Non Majors S. A. Zekavat1, C. Sandu2, G. Archer1, and K. Hungwe3 1 Dept. of Electrical and Computer Engineering, Michigan Tech University, Houghton MI 49931, 2 Dept. of Mechanical Engineering, Virginia Polytechnic Institute and State University, Virginia, 24061, 3 Dept. of Education, Michigan Tech University, Houghton MI 49931.AbstractThis paper presents an evaluation on the teaching approach for the interdisciplinary course“Introduction to Electrical Engineering (EE) for non-EE majors” performed by surveying threegroups from the

Collection

2008 GSW

Authors

Isa Tan; Dr. Amir Karimi

currently based on the saturated liquid properties at the given temperatures only.For example, it is a common practice to approximate specific volume, v(T, p), by saturatedliquid specific volume, vf(T), the specific internal energy, u(T, p), by saturated liquid specificinternal energy, uf(T), the specific entropy, s(T, p), by saturated liquid specific entropy, sf(T),and the specific enthalpy, h(T, p), by hf(T) + vf(T)[p-psat(T)]. Errors resulting from theseapproximations will be analyzed in this paper. This paper will show that these approximationsare not very accurate at all ranges of temperatures and pressures. The paper will establish limitson the range of pressures and temperatures that these approximations could be used withreasonable

Collection

1998 Annual Conference

Authors

Dushan B. Bilbija; Daniel J. Biezad

. Page 3.226.2 Response Locus MapThis is perhaps the most unique and most powerful tool of Archangel98. Below is a screen shotof the Response Locus Map form. Figure 2 – Response Locus MapThis tool is based on a correlation between two derivations of system residues. The first deriva-tion comes from a partial fraction expansion, and yields the following formula2: n xm ( s ) 1 1 1 = R1 + ... + Rn = ∑ Ri u ( s) s − λ1 s − λ n i =1 s − λ iThe second derivation comes from

Collection

1999 Annual Conference

Authors

John D. Cremin

encountered in generating RTCM SC104 messages in a lab. TheRTCM SC104 messages require synchronization with the GPS messages from the satellites tothe receiverConclusionBoth NMEA and ARINC 429 waveforms have been simulated in the laboratory and comparedwith waveforms from actual equipment.Generating lab DGPS waveforms which can be used with low cost GPS receivers presents achallenging problem, but one which should provide students with much insight into GPS andDGPS theory and operation. GPS S A T E L L IT E S A IR B O R N E /M A R IN E G P S R E C E IV E R S GPS GROUND CONTROL

Conference Session

Curriculum and Assessment III

Collection

2019 ASEE Annual Conference & Exposition

Authors

Seyed Mousavinezhad, Idaho State University; Cheryl Xu, North Carolina State University

Tagged Divisions

Computing and Information Technology

Paper ID #26981Science and Engineering Courses, Theory and Practice; An ExampleDr. S. ”Hossein” Mousavinezhad P.E., Idaho State University Dr. Mousavinezhad was the principal investigator of the National Science Foundation’s research grant, National Wireless Research Collaboration Symposium 2014; he has published a book (with Dr. Hu of University of North Dakota) on mobile computing in 2013. Professor Mousavinezhad is an active mem- ber of IEEE and ASEE having chaired sessions in national and regional conferences. He has been an ABET Program Evaluator for Electrical Engineering and Computer Engineering as well as

Collection

2006 Spring ASEE Middle Atlantic Section Conference

Authors

Xinzhou Wei; Kenneth Markowitz; Aron Goykadosh

the values of f1(S) and f2(S) for each of the elements of the set S,f(S) = ( f1(S), f2(S) ) = { f1(α1), f1(α2), ..., f1(αN/2), f2(α1), f2(α2), ..., f2(αN/2) } (mod q), the valuesof g1(S) and g2(S) for each of the elements of the set S. The polynomials f and g will be kept asthe signer’s private key. Then the signer sends the set of values g(S) to the verifier, where the setS, f(S) are the signer’s public keys. In order to use PASS as a digital signature scheme for the RFID system, we apply the hashfunction SHA-1 to it. An output of a 160-bit string has been produced, and will be used in theformatting function. The string is divided into four groups and each has five bytes. We use Bi torepresent one byte of it. The signer constructs the

Collection

2015 ASEE Zone 3 Conference

Authors

R. Joe Stanley; Stuart W. Baur

Evaluation of High School Pre-Engineering Curricula through Missouri University of Science and Technology Student Survey Responses R. Joe Stanley, Ph.D. and Stuart W. Baur, Ph.D., A.I.A.AbstractProject Lead The Way (PLTW) is an example of a STEM education program that providesstructured curriculum to promote college preparation in these areas. There have been severalstudies that show the benefits of PLTW courses for K-12 students in the preparation for highschool students on statewide and national exams, high school academic performance, collegelevel academic performance in particular areas of study, high school student engagement, andother areas. This study examines the impact of PLTW courses on Missouri S&T

Conference Session

Knowing our Students, Faculty, and Profession

Collection

2010 Annual Conference & Exposition

Authors

Katherine Winters, Virginia Tech; Holly Matusovich, Virginia Tech; Ruth Streveler, Purdue Universtiy

Tagged Divisions

Educational Research and Methods

grounded in SDT has found differences in factorsidentified as important to students in comparison to researcher assessed methods.17-19MethodsTo guide our research, we used case study methods20, 21 in combination with the self-determination theoretical framework. In our work, each participant represents a case and weanalyze within and across cases.22 The cases include eleven engineering students at apredominantly technical school (TPub) in the western mountain region of the United States.TPub is a public research university devoted to engineering and applied science. Approximately2,500, or 75 percent, of the 3,300 students are undergraduates, and about 80 percent ofbachelor‟s degrees earned annually are in engineering. Data for this study include

Conference Session

Industry-Based Projects

Collection

2004 Annual Conference

Authors

Paul Duesing; David Baumann; David McDonald

appropriate departments, and create anagenda that covers the appropriate areas related to the design. Topics presented at the meetinginclude meeting objective(s), customer requirements, cost figures, drawings, FEA-reports,engineering changes, test reports, and an open issues list. The design engineer is also responsiblefor appointing someone to take and distribute minutes of the meeting. The minutes will contain Page 9.846.2 Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition Copyright © 2004, American Society for Engineering Educationa list of attendees, the objective(s

Collection

1996 Annual Conference

Authors

Yildirim Omurtag; Rawin Raviwongse

role in theeconomy. During the 1990's a double digit growth (11.8-13.9%) has been recorded.[2] The manufacturingsector's share of the Gross Domestic Product (GDP) has increased steadily from 13% in 1960 to 26% in1990. During the same period the agricultural share of the GDP has dropped from 40% to just over 12%.[3] In order to support the rapidly expanding manufacturing sector, there is considerable need forskilled personnel in the manufacturing field. During the mid 1980's to the early 1990's, Thailand hasexperienced a scarcity of technical personnel at all employment levels. The situation compelled thegovernment to relax the employment regulations governing non-Thai engineers, scientists, and techniciansand to establish a long term

Collection

2021 ASEE North Central Section Conference

Authors

Cyrus K Hagigat, The University of Toledo

. Figure 2: simplified suspension system modelThe force in a spring is its constant multiplied by its displacement and the force in a hydraulicsystem is the damping of the hydraulic system multiplied by velocity. Based on these facts, theequation of motion for the system of figure 2 is as shown in equation (1). m(d2xo/dt) + c(dxo/dt – dxi/dt) + k(xo – xi)= 0 (1)Rearranging equation (1) and applying the Laplace transform formulas put equation (1) in theform shown in equation (2). [2] (mS2 + cS + k) Xo(S) = (cS + k)Xi(S) (2)The transfer function of a control system is defined as the output of the system divided by theinput of the system in

Conference Session

Design of Laboratory Experiments

Collection

2006 Annual Conference & Exposition

Authors

Bradley Burchett, Rose-Hulman Institute of Technology

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

(1) y ? CxWhere, x is the state vector consisting of base disk twist angle { and angular velocity {% , andpendulum swing angle s angular velocity s% . ] x ? { {% s s% T _As illustrated above, r is the distance from the center axis of the base disk to pendulumlongitudinal axis, Jd and Jp are the disk and pendulum centroidal moments of inertia respectively,b1 and b2 are revolute joint viscous damping, T is the applied control torque, lCG is the distancefrom mounting joint to pendulum center of gravity, and mp is the

Conference Session

Potpourri of Engineering Mathematics

Collection

2003 Annual Conference

Authors

John Schmeelk, Virginia Commonwealth University Qatar Branch

Education” 2 ds1 ds 2 Cϖ = ∫∫ ω ( s1 , s 2 , (3.3) s1 s 2leading to the inversion formula, f(x)= Cϖ −1 da1 da 2 db1 db2 ∫∫∫ (a a ) 2 {(T wav

Conference Session

Physics and Math Division Luncheon

Collection

2003 Annual Conference

Authors

John Schmeelk, Virginia Commonwealth University Qatar Branch

)}( {T wav g )(a1 , a2 )(b1 , b2 )} = Cϖ ( f , g ) . 1 2Proof. See references13,14.The Cϖ in Theorem 3.2 equals 2 ds1 ds 2 Cϖ = ∫∫ ω ( s1 , s 2 , (3.3) s1 s 2leading to the inversion formula, f(x)= Cϖ −1 da1 da 2 db1 db2

Conference Session

Concurrent Paper Tracks - Session II

Collection

2015 ASEE International Forum

Authors

Stephen U. Egarievwe, Alabama A&M University

Tagged Topics

International Forum

U.S. Nuclear Regulatory Commission through award number NRC-27-10-514; and the U.S. Department of Homeland Security, Domestic Nuclear Detection Office,under competitively awarded contract/IAA award number 2012-DN-077-ARI065-03.References 1. S. U. Egarievwe, “Vertical Education Enhancement – A Model for Enhancing STEM Education and Research,” Global Conference on Contemporary Issues in Education, Las Vegas, Nevada, USA, July 12 – 14, 2014. 2. B. H. Bradford, “Applications of semiconductor detectors to nuclear medicine,” Nucl. Instrum. Methods Phys. Res. A., vol. 436, no. 1-2, pp. 102–110, (1999). 3. L. Verger, M. Boitel, M. C. Gentet, R. Hamelin, C. Mestais, F. Mongellaz, J. Rustique, and G. Sanchez, “Characterization