Collection

2001 Annual Conference

Authors

Leo Smith; Hisham Alnajjar; Donald Leone; Mohammad Saleh Keshawarz; Ladimer Nagurney; Devdas Shetty

of skills namely, ‘Engineering skills’,‘Communication Skills’, ‘Computer Skills’, ‘Resource Utilization skills’, ‘Management Skills’,and ‘Connection and linkage to other courses’. A S S ES S M EN T R ES U L T S 5 4 .0 8 4 .1 2 4 .3 2 4 .1 2 4 .0 3 3 .7 4 4 3 2 1 EN G G . S K IL L S CO M M. S K IL L S CO M P. S K IL L S RES O U RCE MG MT. S K IL L S CO NNECTIO N UTIL S N. S K IL L S TO O THER

Collection

2000 Annual Conference

Authors

Patricia Davies; Leah H Jamieson; Laura A Guedelhoefer; Edward J. Coyle; James D. Jones

displayed on the chart below. Page 5.265.5 5 M a le F e m a le 4 .5 C a u c a s ia n M in o ritie s 4

Collection

1998 Annual Conference

Authors

S.A. McClellan; J.W. Goode

explosive growth of theInternet and World-Wide-Web, the effects of these technologies are increasingly presentin routine settings. Consequently, the exposure to “quantized” and “compressed”information is very high whereas exposure to the theoretical underpinnings and a firmunderstanding of the associated tradeoffs is very low. We begin here with a briefintroduction to the theory surrounding both the mechanics of speech production and themathematical modelling of vocalization, including basic quantization and prediction.The dryness of the mathematical development is then nicely contrasted with thereal-time demonstrations of speech coding which rely on a participant’s vocalizations. II. H U M A N S PEECH AND L INEAR P R E D I C

Conference Session

Computing and Information Technology Division (CIT) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Kwansun Cho, University of Florida; Umer Farooq, Texas A&M University; Saira Anwar, Texas A&M University

Tagged Divisions

Computing and Information Technology Division (CIT)

is for novice programmersAbstractIn this work-in-progress paper, the emphasis is to understand the perceptions about whichlanguage should be the first programming language. Computer programming is a fundamentalskill for novice engineers. However, over time, multiple programming languages have emergedand are being used as the first language for students. While in modern times, many schoolsaround the globe, particularly in the USA, consider Python’s syntax simplicity and versatility asa way to go, other places and traditional computer scientists consider C++’s efficiency as theirchoice. Similarly, many engineering schools introduce MATLAB as the first programminglanguage. While these decisions are made at the

Conference Session

Engineering Inclusivity: Challenging Disparities and Cultivating Resilience in Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Austin Morgan Kainoa Peters, Purdue University; Alice L. Pawley, Purdue University; Stephanie Masta, Purdue University; Darryl Dickerson, Florida International University; Matthew W. Ohland, Purdue University

Tagged Divisions

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

assistant professor in the Department of Mechanical and Materials Engineering at Florida International University. Dr. Dickersonˆa C™s research agenda contains two interconnected strands: 1) systematic investigatiDr. Matthew W. Ohland, Purdue University Matthew W. Ohland is the Dale and Suzi Gallagher Professor and Associate Head of Engineering Education at Purdue University. He has degrees from Swarthmore College, Rensselaer Polytechnic Institute, and the University of Florida. His research on the longitudinal study of engineering students and forming and managing teams has been supported by the National Science Foundation and the Sloan Foundation and his team received for the best paper published in the Journal of

Conference Session

Educational Research and Methods Division (ERM) Technical Session 11

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jeffrey Stransky, Rowan University; Prateek Shekhar, New Jersey Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

improveretention, researchers have applied asset-based perspectives to studying retention of marginalizedstudents. This approach often emphasizes the role of social capital [1], [11] and socializers [12]–[14] as primary drivers of motivation to pursue STEM education and careers. This present paperbegins to unpack the unique relationship between socializers and the decision students atminority serving institutions (MSIs) make to pursue STEM. We report on the experiences ofstudents gathered using qualitative methods and examined through the lens of expectancy valuetheoretical framework.Theoretical Framework: Expectancy-ValueMotivation to pursue a career in STEM can be modeled through Eccles et al.'s Expectancy-Valuetheory (EV) [15]. EV establishes a direct

Collection

1997 Annual Conference

Authors

Glynn P. Adams; Ing-Chang Jong

of the coupler during the animation. The linkage presentedhere is a crank-rocker mechanism, which can be assembled in a colinear configuration. Thislinkage was selected because of the interesting nature of the coupler link space centrodeand the motion of the output, link. The position solution for the linkage is obtained with a.Newton-Ra.phson method and the use of kinematic coefficients. The details of this approachare presented as is the specific MATLAB code required to produce the position solutionand the animation. IntroductionOne of the main impediments to learning dynamics of mechanisms is the visualization ofthe mechanism motion. Several commercially available software p a c k a g e s such as

Conference Session

Signal Processing Education

Collection

2010 Annual Conference & Exposition

Authors

Cameron Wright; Thad Welch; Michael Morrow

Tagged Divisions

Computers in Education

Figure 3: A plot showing the z-plane annotated for discussing bandpass sampling.dents that allows them to evaluate Equation (1) in a way that promotes exploration and “what if” thinking.A simple m-file that provides this capability is shown in Listing 1, with an example output given in Figure 4for the bandpass signal parameters from Figure 2(a). Listing 1: M ATLAB program to evaluate valid sampling frequencies for bandpass sampling.f u n c t i o n vFs = bp samp ( fu , B )% vFs=bp samp ( f u , B )%% C r e a t e a s e t o f min and max v a l i d s a m p l e f r e q u e n c i e s% f o r bandpass sampling .% For Q= f u / B ,% 2B (Q / n ) <= Fs <= 2B ( ( Q− 1 ) / n −1))% where n i s an i n t e g e r s u c h t h a t 0> bp_samp

Conference Session

New Learning Paradigms I

Collection

2010 Annual Conference & Exposition

Authors

Gary Behm, Rochester Institute of Technology; Jeanne Behm, Rochester Institute of Technology; Scott Bellinger, Rochester Institute of Technology (COE); Joseph Stanislow, Rochester Institute of Technology

Tagged Divisions

Educational Research and Methods

always proven to be verysuccessful. Even today, a large percentage of the deaf community has reading comprehensionand writing deficits and this has not changed much over the past 30 years.3When deaf or hard of hearing students arrive at college, they have high expectations ofthemselves for completing bachelor‟s and graduate degrees.4 The research led by Cuculick andKelly has shown through statistical analysis that only about 17% of incoming deaf students atNTID, 2001 and 2002 had the requisite reading and language skills to enter a baccalaureateprogram in their first year. Also, with the same data, it indicated that at NTID it takes longer forthe deaf students to complete Associate of Occupational Studies (AOS), Associated of AppliedScience (AAS

Conference Session

NSF Grantees Poster Session

Collection

2005 Annual Conference

Authors

Bradley Burchett

system mass determined in Lab 1, and system gain from the user's manual, they form adouble-integrator plant model. The hardware is configured in 1 DOF mode with no spring ordamper. The theoretical transfer function model is G(s) = 1/ms2. The students are then able todirectly select the P I and D gains to match closed-loop requirements. Students are encouraged tophysically feel the control forces due to P, D, and I control. They should then be able to betterquantify the effects of each type of feedback. Interested students are encouraged to try Ziegler-Nichols tuning of P and PID gains for extra credit.Lab 4. In this laboratory, the students construct a Root Locus plot from experimental systemresponse data. The double integrator plant of Lab 3 is

Conference Session

New Approaches & Techniques in Engineering II

Collection

2005 Annual Conference

Authors

Cyrus Hagigat

repeated stress fatigue cycle in which the maximum stress and the minimumstress are not equal. For this type of stress cycle the maximum and minimum stresses can be bothtension, both compression or one tension and one compression. These types of stress cycles arepresent in rotating shafts with overloads(s).1 Page 10.1404.2 Figure 2: An illustration of a repeated stress fatigue cycle1 Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering EducationFigure 3 illustrates an irregular or random stress cycle

Collection

2024 South East Section Meeting

Authors

Dimitra Michalaka, The Citadel; Stephanie Laughton, The Citadel

://www.acteonline.org/wp- content/uploads/2018/03/Career_Readiness_Paper_COLOR.pdf.[2] J. Defazio, "Why is Career Readiness Important?," Education Advanced, 7 April 2023. [Online]. Available: https://educationadvanced.com/resources/blog/why-is-career- readiness-important/. [Accessed 27 October 2023].[3] N. A. o. C. a. E. (NACE), "WHAT IS CAREER READINESS?," National Association of Colleges and Employers (NACE), [Online]. Available: https://www.naceweb.org/career- readiness/competencies/career-readiness-defined. [Accessed 30 October 2023].[4] G. F. P. C. C. L. Bonesso S., "Students' entrepreneurial intentions: The role of prior learning experiences and emotional, social, and cognitive competencies.," Journal of Small Business Management

Conference Session

NEE Technical Session 3 - Courses: development, logistics, and impact

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sarah Rajkumari Jayasekaran, University of Florida

Tagged Divisions

New Engineering Educators Division (NEE)

Education During the Pandemic: Responses to Coronavirus Disease 2019 From Spain," Frontiers in Psychology, Original Research vol. 12, 2021.[2] A. Bashir, S. Bashir, K. Rana, P. Lambert, and A. Vernallis, "Post-COVID-19 Adaptations; the Shifts Towards Online Learning, Hybrid Course Delivery and the Implications for Biosciences Courses in the Higher Education Setting," Frontiers in Education, Original Research vol. 6, 2021.[3] S. R. Jayasekaran, S. Anwar, K. Cho, and S. F. Ali, "Relationship of students' engagement with learning management system and their performance-An undergraduate programming course perspective," 2022.[4] I. A.-O. DeCoito and M. A.-O. Estaiteyeh, "Transitioning to Online Teaching

Collection

2024 ASEE St. Lawrence Section Annual Conference

Authors

Bhavana Kotla; Lisa Bosman

interventions in their classroomsand examine best practices to utilize such interventions to promote entrepreneurially mindedlearning within engineering classrooms.AcknowledgmentThis work was developed, in part, as a result of the author’s (or authors’) participation in theAmerican Society of Engineering Education Archival Publication Authors Workshop forEngineering Educators (ASEE APA-ENG) program.References[1] S. Shane and S. Venkataraman, "The Promise of Entrepreneurship as a Field of Research," Academy of Management Review, vol. 25, no. 1, pp. 217-226, 2000, doi: 10.5465/amr.2000.2791611.[2] L. Bosman and S. Fernhaber, Teaching the Entrepreneurial Mindset to Engineers. Springer Cham, 2018, p. 142.[3] N. Suprapto et al

Collection

2016 Spring ASEE Middle Atlantic Section Conference

Authors

Ralph C. Tillinghast; Edward A. Petersen

and Mathematics (STEM)outreach is well documented. The methods by which this is accomplished vary and depend onthe specific needs of the student or STEM stakeholder being supported. Further the outreachprovider can vary in size from single high school students doing experiments with youngerstudents, to scientists and engineers (S&E’s) visiting classrooms, and to fortune 500 companiesdonating vast sums of money to build STEM infrastructure.1 Each of these has the potential toinfluence students and impact STEM careers. This paper looks to document what the authorsconsider a large STEM organization. The STEM outreach provider being described is one of theU. S. Army’s research centers, the Armament Research, Development and Engineering Center

Conference Session

Student Division (STDT) Technical Session 5: Motivation and Support for Success

Collection

2023 ASEE Annual Conference & Exposition

Authors

D'Andre Jermaine Wilson-Ihejirika, University of Toronto, Canada; Qin Liu, University of Toronto, Canada; Joanna Meihui Li, University of Toronto, Canada; Mustafa Nisar, University of Toronto, Canada; Jiawen Lin, University of Toronto, Canada

Tagged Topics

Diversity

Tagged Divisions

Student Division (STDT)

Conference Session

CIT Division Technical Session #3

Collection

2022 ASEE Annual Conference & Exposition

Authors

Bailey Bond-Trittipo, Florida International University; Stephen Secules, Florida International University; Nivedita Kumar, Florida International University; Tiana Solis, Florida International University

. © American Society for Engineering Education, 2022 Powered by www.slayte.com Future Career Pathway Perceptions of Lower-Income Computing Students Through the Lens of Capital Exchange1. BackgroundWhile significant broadening participation efforts in computing higher education have focusedon gender and race [1]-[3], the experiences of lower-income students in undergraduatecomputing education are as yet underexplored. One major effort focused on lower-incomestudents is the National Science Foundation (NSF) Scholarships in Science, Technology,Engineering, and Mathematics (S-STEM) program, a funding program designed to supportlower-income students to persist and succeed in STEM fields. The

Conference Session

Computers in Education 7 - Modulus 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Joseph Maloba Makokha, Stanford University

Tagged Divisions

Computers in Education

shiftsbetween the 1970’s and 2010’s.using paradigms to understand AI’s evolutionPractitioners in diverse fields define the term “paradigm” in different ways depending on theirdomains, with slight variations corresponding to norms in their respective fields. We takeKuhn’s[12] view which holds that a paradigm provides an open-ended resource that presents aframework of concepts, results and procedures within which subsequent work is structured. Acharacteristic of paradigms is that they can “shift” with new knowledge or evidence. An exampleusing human flight experience can be represented as shown in Table 2 below. The inspirationmay have originated from nature, through birds’ ability to swiftly move in air. Legends andmythology from early Greek times

Conference Session

Mathematics Division Technical Session 4

Collection

2015 ASEE Annual Conference & Exposition

Authors

Peter Goldsmith P.Eng., University of Calgary

Tagged Divisions

Mathematics

operator, applied in postfix notation. To obtain the transferfunction of this system, one assumes that the initial conditions of the input and output signals arezero and applies the Laplace transform to both sides of this differential equation to giveU(s)a(s) = Y (s)b(s), where U(s) and Y (s) are the Laplace transforms of u(t) and y(t),respectively, and s is a complex variable. This yields the transfer function Y (s)/U(s) = a(s)/b(s),which may be multiplied by a particular transformed input U(s) to find the correspondingtransformed output Y (s).Transfer functions are appealing in that they model dynamic systems as rational functions that canbe added, multiplied, and inverted to reduce networks of interconnected subsystems. However,the educational

Conference Session

Nanotechnology

Collection

2014 ASEE Annual Conference & Exposition

Authors

Kelsey Joy Rodgers, Purdue University, West Lafayette; Yi Kong, Purdue University, West Lafayette; Heidi A. Diefes-Dux, Purdue University, West Lafayette; Krishna Madhavan, Purdue University, West Lafayette

Tagged Divisions

Multidisciplinary Engineering

agreed to incorporate the nanotechnology-based design project intotheir sections. This project required students to develop a Graphical User Interface (GUI) usingMATLAB to teach their peers about nanotechnology for a real project partner (nanoHUB.org).17The student teams received a memo from the project partner that described the details of theassignment (Appendix A). The project was driven by five criteria: 1. Clearly helps peers understand the Size & Scale of nanotechnology (big idea #1), 2. Clearly assists peers in connecting Size & Scale to at least one other nanoscience big idea 3. Clearly engages peers in how criteria 1 and 2 apply to one or more engineering disciplines via model(s) or simulation(s) 4. Is highly

Conference Session

Assessment in Multidisciplinary Learning Environment

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Haolin Zhu, Arizona State University; Amy Trowbridge, Arizona State University

Tagged Divisions

Multidisciplinary Engineering

/experiences for some of the competencies but few, if any,would specify all the courses/experiences that every scholar must complete for each of the fivecompetencies. Thus, even within an institution, how each Grand Challenges Scholar achieveseach competency often varies. For example, some scholars may complete course(s) while othersmay engage in experience(s) in order to achieve each competency. The types of courses andexperiences students are involved in also vary, depending on the students’ Grand Challengefocus area and/or their specific interests within that competency area. For example, therequirements to achieve each GCSP competency at ASU, shown below in Table 1, are written interms of number of courses and experiences, but the student can

Conference Session

Curriculum Development and Teaching Models in NRE

Collection

2008 Annual Conference & Exposition

Authors

Sheldon Landsberger, University of Texas at Austin; Rose Stiffin, Flroida Memorial University; Dimitri Tamalis, Florida Memorial University; Michael elliott, Flroida Memorial University; Ayivi Huisso, Florida Memorial Univeristy

Tagged Divisions

Nuclear and Radiological

increasingly used as a safety management tool in the nuclear power industry through the 1980’s and 90’s. This capability is of central importance in the domestic nuclear power industry in the new century. PRA provides answers to four important questions: (i) What can go wrong? (ii) How likely is it? (iii) What are the consequences? and (iv) How do uncertainties impact the above answers? There are three levels of PRA analysis in the commercial nuclear power industry: Level 1, Level 2, and Level 3. Level 1 consists of an analysis of plant design and operation focused on the accident sequences that could lead to a core damaging event, their basic causes and their frequencies. Key figure of merit is the Core Damage

Conference Session

ERM Technical Session 8: Survey and Instrument Development

Collection

2019 ASEE Annual Conference & Exposition

Authors

Dina Verdin, Purdue University-Main Campus, West Lafayette (College of Engineering); Jessica Mary Smith, Colorado School of Mines; Juan C. Lucena, Colorado School of Mines

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

Statistics [8], first-generation college students were characterizedas students’ whose parents did not have postsecondary educational experience. Another studystated, “first-generation college students include students whose parents may have some college,postsecondary certificate(s), or associate’s degree, but not a bachelor’s degree” and this definitionclosely aligns with the definition set forth by the Federal TRiO program (i.e., outreach and studentservice programs created to serve students from disadvantaged backgrounds) [9, p. 8]. There areinconsistencies and numerous ways in defining first-generation college students, so much so thatWhitley et al. [10] found at least six different definitions. However, regardless of how first-generation

Conference Session

Best Practices in Research & Assessment Tools for Pre-College Engineering Education

Collection

2019 ASEE Annual Conference & Exposition

Authors

Tamecia R. Jones, North Carolina State University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

through undergraduate education. This frame is visually represented inFigure 2. Figure 2 Visual Representation of Relationships between Local Standards, National Directives, Higher Education Outcomes and Literature Synthesized for Engineering Epistemic Frame The epistemic frame elements are skills(S), knowledge(K), identity(I), values(V), andepistemology(E), and have been coded as such for analysis. Each parent code (S,K,I,V,E) has aset of sub-codes that allow for macro and micro analysis. The nomenclature for each code isparentcode.subcode, for example k.localknowledge represents the sub-code localknowledgeunder the parent code K. (but indicated in lowercase). Figure 2 shows how sub-codes

Conference Session

K-12 & Pre-College Engineering Division: Fundamental & Research-to-Practice: K-12 Engineering Resources: Best Practices in Curriculum Design (Part 2)

Collection

2016 ASEE Annual Conference & Exposition

Authors

Louis Nadelson, Utah State University; Christina Marie Sias, Utah State University; Anne Seifert, Idaho National Laboratory

Tagged Divisions

Pre-College Engineering Education Division

Paper ID #16983Challenges for Integrating Engineering into the K-12 Curriculum: Indicatorsof K-12 Teachers’ Propensity to Adopt InnovationDr. Louis Nadelson, Utah State University Louis S. Nadelson is an associate professor and director for the Center for the School of the Future in the Emma Eccles Jones College of Education at Utah State University. He has a BS from Colorado State University, a BA from the Evergreen State College, a MEd from Western Washington University, and a PhD in educational psychology from UNLV. His scholarly interests include all areas of STEM teaching and learning, inservice and preservice teacher

Conference Session

Instrumentation Division Technical Session 1

Collection

2015 ASEE Annual Conference & Exposition

Authors

Mingshao Zhang, Stevens Institute of Technology; Zhou Zhang, Stevens Institute of Technology; Yizhe Chang, Stevens Institute of Technology (School of Engineering and Science); Sven K. Esche, Stevens Institute of Technology (School of Engineering and Science)

Tagged Topics

Diversity

Tagged Divisions

Instrumentation

Techniques,” AK Peters, Ltd.[8] Nistér, D., Naroditsky, O. & Bergen, J., 2006, “Visual Odometry for Ground Vehicle Applications,” Journal of Field Robotics, 23(1) 3-20.[9] DeSouza, G. N. & Kak, A. C., 2002, “Vision for mobile robot navigation: A survey,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(2) 237-267.[10] Zhang, M., Zhang, Z., Esche, S. K. & Chassapis, C., 2013, “Universal Range Data Acquisition for Educational Laboratories Using Microsoft Kinect,” Proceedings of the 2013 ASEE Annual Conference & Exposition, Atlanta, Georgia, USA, June 23-26.[11] Zhang, M., Zhang, Z., Aziz, E.-S., Esche, S. K. & Chassapis, C., 2013, “Kinect-Based Universal Range Sensor for Laboratory

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Anitha Sarah Subburaj, West Texas A&M University; Pamela Renee Lockwood-Cooke, West Texas A&M University; Emily M. Hunt P.E., West Texas A&M University; Vinitha Hannah Subburaj, West Texas A&M University

Tagged Divisions

Minorities in Engineering

-serving community college hasestablished a scholarship program for financially vulnerable community college students whowish to move to a four-year university to obtain a bachelor's degree in a STEM field. Developedthrough a S-STEM grant NSF Scholarship, the program included cooperation between STEMteachers, college employees, administrators, student organizations and industry partners, four-year colleges, local high schools and professional organizations. In addition to providingfinancial support, student access to academic capital was enhanced by an intensive math reviewprogram, tutoring, study groups, additional training, and internship opportunities for research.Access to cultural and social capital was increased by providing scholars with

Conference Session

Teaching Innovation in Architectural Engineering I

Collection

2007 Annual Conference & Exposition

Authors

Allen Estes, California Polytechnic State University; Hector Estrada, University of the Pacific

Tagged Divisions

Architectural

Ca Un ty o SLO ro ive f K lin rs an a it s A & y o as

Conference Session

The Designer of 2020: Innovations in Teaching Design

Collection

2012 ASEE Annual Conference & Exposition

Authors

Matthew W. Roberts P.E., University of Wisconsin, Platteville; Michael K. Thompson, University of Wisconsin, Platteville; Philip J. Parker P.E., University of Wisconsin, Platteville; Barb A. Barnet, University of Wisconsin, Platteville

Tagged Divisions

Civil Engineering

c American Society for Engineering Education, 2012 Interdisciplinary Teams through Two Companion Courses on InfrastructureAbstractOne of the program outcome criteria for ABET accreditation is that students demonstrate “anability to function on multidisciplinary teams” (Criterion 3(d)). * An innovative way to meet thiscriterion was piloted at the University of Wisconsin—Platteville in the 2011 Fall Semester by theauthors. During that semester, we taught two infrastructure-related courses. The first course,called “Introduction to Infrastructure Engineering” (I2I), was taken by civil and environmentalengineering students. The second course, “Infrastructure and Society” (I&S), was

Conference Session

Industrial Engineering Technical Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Matthew A Carr USN, U.S. Naval Academy

Tagged Divisions

Industrial Engineering

pressure, velocity, orelevation at one of the points, provided that the correct unit conversions are applied.Bernoulli Example. Given cold water flowing through an arbitrary shape where z1 = 100 ft, z2 =50 ft, p1 = 30 lbf/in2, V1 = 25 ft/s, V2 = 1ft/s, and  = 62.4 lbf/ft3. Since water is essentiallyincompressible in this range, then the unknown pressure p2 can be determined by rewritingBernoulli’s equation using algebra as follows:  V 2  V22  p2  p1   ( z1  z2 )    1   2g Note that each term has basic dimensions of force per area (length2) and the rules