. Page 3.343.32.2 Physical DemonstrationsThe nature of most engineering disciplines lends itself to using physical models to demonstratelesson topics. This author firmly believes that physical models are an essential part of a balancedengineering curriculum. The expense both in terms of finances and time in devloping the modelscan be daunting, however. Indeed, the “cost”of the traditional laboratory is one reason the authorhas heard for justifying the development of computer simulation/animation programs. Apersonal concern for the author develops, though, as to whether students retain or even developan understanding of the real physical behavior of such “computerized” models. This authorasserts that computer models are best used as a supplement
Understanding of the role of computer simulation in engineering design Competence in the application of one simulation software Understanding of the physical operation of selected nanodevices Understanding of environmental, health and social issues of nanotechnology Ability to write competently and appropriately to the contextThis ECE course develops an appreciation of the potential applications of nanoscale activedevices and systems, with electron tunneling as the mechanism in focus. The challenge is toprovide material accessible to students with no calculus or physics background, while offeringappropriate challenge to ECE and physics majors. The course also provides non-technicalmajors with some more general appreciation of how device
produce data to help analyze or design engineering systems. Expose students to tools for modeling, such as, diagrams, drawings, analogies, storyboards, computer simulations, etc. 3. Planning and carrying out investigations: Have students design and perform investigative activities that can produce answers to questions or validate hypotheses. Use data collection as a systematic process to obtain evidence for answering scientific questions. Setting up and performing an experimental design to test hypothesis is an integral component of this practice. 4. Analyzing and interpreting data: As students conduct scientific investigations or engineering design, have them perform generation and
, T. & Flotto, C. (2003). Computer animations in education: The impact of graphical quality (3D/2D) andsignals, Proceedings of E-Learn 2003.24 Help Wanted: Projections of Jobs and Education Requirements Through 201825 Dadgar, M. & Trimble, M.J. (2014). Labor Market Returns to Sub-Baccalaureate Credentials: How Much Does aCommunity College Degree or Certificate Pay? Educational Evaluation and Policy Analysis. November 5.26 Pathways to Prosperity: Meeting the Challenge of Perparing Young Americans for the 21 st Century27 National Academy of Engineering. (2008). The Grand Challenges for Engineering in the 21 st Century,http://www.engineeringchallenges.org/cms/8996.aspx28 Courtney, Roger, Strategic Management for Voluntary
, The Ohio State University Emily Nutwell is pursuing her PhD at Ohio State in Engineering Education where her research inter- ests focus on workforce development, adult learning, and distance education. She is also the Education Manager at the Ohio State SIMCenter, the Simulation Innovation, and Modeling Research center, which supports educational initiatives to promote simulation and modeling. She has several years of experience in industry as a CAE analyst focusing on vehicle crash modeling and topology optimization.Dr. Scott Noll P.E., The Ohio State University Dr. Scott Noll is a Research Assistant Professor of Mechanical and Aerospace Engineering at The Ohio State University. He focuses on solving industry
, studies using a variety of data sources (e.g.,administrative data, text and publication data, networkdata, patent records, etc.) have uncovered inequities inhow STEM is practiced, including: 11• Grant activities: who applies for and is awarded grants; grant size and duration; individual versus group grants• Authorship: publication rates, types of journals, co- authorship, author rank• Letters of recommendation: language used, length• Student evaluations: differential language used by students and professor ratings• Citations: who is cited, self-citations• Computer simulations: accumulation of disadvantage across a STEM career• Request for extensions: grant
, rural exodus, and pollution,which demanded institutional, cultural and political transformations1,2. Nowadays, we are thewitnesses of a new revolution. The generalized use of computers and computerized systems havebeen changing again the means of production, and also, personal relations. Once more, thecourse of History has been modified, at this time by the so-called “information revolution”,which has been altering lifestyles, educational practices, production relations, etc3. And, the main“engine” of these processes has been the discoveries in science that make possible thedevelopment of new technologies, which give support to a massive industrial production andpromoting several transformations in social relations. But, this process brings new
teaching and scientific researchprojects, encouraging the use of new technologies and promoting the business –university relationship, in order to encourage a Latin-American site for knowledgeThe initial conditions to include Higher Educational Institutions in this project regardthree different types: educational, technical and legal matters. For the first one, it isdemanded the publication of teaching materials orderly structured with at least 10courses. Within these materials, it can be included all kind of resources: presentations,books, videos, simulations programs, etc. always with a common organization andappearances. Regarding technical demands a globally and approachable site via Internetwith the right quality must be maintained. Although
an innovative solution to their challenge problem. Each team was expected to develop aproject/research proposal, similar to an internal research grant, to present at the culminating postersession. Furthermore, students had the opportunity to participate in various technical training andprofessional skills workshops throughout the weekend. A focus of the hackathon was to exposestudents to topics related to computational neuroscience, as part of a scientific engagement effort.Following the end of Net-Hack, winning teams were recognized and awarded with certificates anda prize.Prior to Net-Hack 2022, students were given a pre-survey to indicate their challenge preferences,demographic information, and self-reported imposter phenomenon (IP) and
problems, and assessment techniques. These components form the foundation for thepresent work.2.1.1. Visualization Background InformationA wide variety of efforts to use computer-based visualization to enhance education have beenreported in the literature. There are a large number of web sites maintained by universities thatcontain multimedia features, from simple electronic syllabi to interactive simulation [seeURL/CD references at the end of the reference section]. Many book companies have formedmultimedia divisions, and a number of smaller multimedia production companies are producingCD-ROMs intended to provide visualization enhancement to technical learning. In addition,many examples of stand-alone software for specific courses have been
the Executive Board. 2Spring 2010 Middle-Atlantic ASEE ConferenceApril 16 – 17, Lafayette College, Easton, PA 18042Friday, April 16-Acopian Engineering Center (AEC)12:00 – 17:00 AEC 308 RegistrationConcurrent Workshops – Acopian Engineering Centerw13:00 – 15:00 AEC 306 Civil & Environmental Engineering13:00 – 15:00 AEC 136 Mechanical Engineering15:00 – 17:00 AEC 306 Chemical/Biomolecular Engineering15:00 – 17:00 AEC 315 Electrical & Computer Engineering13:00 – 16:00 AEC 223B COMSOL13:00 – 16:00 AEC 135 National Instrument13:00 – 16:00 Skillman Library 003 Application of Moodle in
. Janna received a B.S. degree, an M.S.M.E. and a Ph.D. from the University of Toledo.John Hochstein, University of Memphis John I. Hochstein joined the faculty of The University of Memphis in 1991 and currently holds the position of Chair of the Department of Mechanical Engineering. In addition to engineering education, his research interests include simulation of micro gravity processes and computational modeling of fluid flows with free surfaces. He is a co-author of a textbook, Fundamentals of Fluid Mechanics, with P. Gerhart and R. Gross and is an Associate Fellow of AIAA. Dr. Hochstein received a B.E. degree from the Stevens Institute of Technology (1973), an M.S.M.E. degree from The
the School of Engineering Education and Director of STEM Integration in the INSPIRE Institute at Purdue University. Dr. Moore’s research is centered on the use of engineering design-based STEM integration in K-12 and postsecondary classrooms in order to help students make connections among the STEM disciplines and achieve deep understanding. Her work focuses on defining STEM integration, including computational thinking, and investigating its power for student learning.Ms. Barbara Fagundes, Purdue University-Main Campus, West Lafayette (College of Engineering) Barbara Fagundes is a first-year Ph.D. student in the Engineering Education Department at Purdue Univer- sity. Her doctoral research interests involve
Paper ID #42586Engagement in Practice: A Road Map for Academia and Non-Profit CollaborationKerrie Danielle Hooper, Florida International University Kerrie Hooper is currently an Engineering and Computing Education Ph.D. student at Florida International University. She obtained her Bachelor of Science in Computer Science from the University of Guyana in 2019 and then worked for two years in the industry as a Data Analyst & Systems Administrator, before pursuing her doctoral degree. Her research interests are in AI ethics, responsible technology in education, women’s careers in computing, and arts-based approach to STEM
invited presentations - 13 plenary - at international and national forums, conferences and corporations. Since 1994, he has directed an extensive engineering mentoring-research academic success and professional development (ASAP) program that has served over 500 students. These efforts have been supported by NSF STEP, S-STEM, and CSEM grants as well as industry. Dr. Rodriguez’ research inter- ests include: control of nonlinear distributed parameter, and sampled-data systems; modeling, simulation, animation, and real-time control (MoSART) of Flexible Autonomous Machines operating in an uncertain Environment (FAME); design and control of micro-air vehicles (MAVs), control of bio-economic systems, renewable resources, and
from Tec de Monterrey; and a M.S. in Educational Technology and a Ph.D. in Engineering Education from Purdue University. Her research is focused on identifying how model-based cognition in STEM can be better supported by means of expert technological and computing tools such as cyber-physical systems, visualizations, and modeling and simulation tools. American c Society for Engineering Education, 2021 Assessing the Impact of Transition from Face-to-Face to Online Instruction on Team CooperationAbstractTeamwork is an important skill valued by corporate employers across the globe. As such, it iscrucial for students to learn teamwork for
depending on the time, resources, and activitiesrequired. The scope of activities in Table 2 is described in terms of the four key areas:Exploration, Discovery, Experimentation, and Analysis. Exploration pertains to the subjects thatstudents are introduced to for the first time (or with minimal prior familiarity), such asengineering materials, and through additional research as part of a class assignment, studentsdiscover why certain materials (based on their engineering and physical properties) are used forparticular products. Experimentation may involve testing a physical model or performing acomputer simulation (i.e., computer experiment) with students having the ability to measure theeffects of various design parameters on a quantity of
and solution concepts and communicate them for greater problemunderstanding.Information Design Pattern3: is a record of the design of information gained through experiencewhere this record systematically names, explains, and evaluates an important and recurringinformation design.Joint Application Development (JAD) Session15: a structured workshop where users anddevelopers come together to plan projects, design computer systems, or make business decisions.This workshop involves a detailed agenda, visual aids, a facilitator who moderates the sessionand a scribe who records the agreed-upon requirements.“Proceedings of the 2006 Mid-Atlantic Section Conference of the American Society for Engineering Education
formulaor other design guidelines for the Onager caused the students to rely on the sizing principles fromtwo-armed machine when creating their design. From this perhaps it would be necessary forthem to derive another algorithm that could be formulated from an assumed range. BeyondAmmianus, most of the information used by the students comes from attempts by Schramm,Payne-Gallwey and Marsden to recreate this type of machine. These are summarized byMarsden4. Other modern studies of the Onager have influenced the student design decisions ofthe Onager presented here and hence a much more simplistic approach was taken than just usingthe considerations mentioned by Marsden.5 Computational and experimental results were usedby the students to determine if
enabling students (a) to identify the types, sizes,and movement of particles that are found in air, particularly those that are expelled during normalhuman activity, and (b) to characterize the material properties that influence the control of thesedifferent particles. A specific focus was placed on the use of face masks made from common textilematerials. The “Mask Effectiveness” project required the development of Excel-based animations andtools that encourage students to explore relationships between air pollutants and materials science.The tool was developed such that it provides a solution to the limitations of a student design projectfor online and hybrid courses. By engaging with the computer-based Excel tool, students are ableto
associated with that study unit, (3) a “required pre-class examples reading” illustratingthe use of that information to solve engineering problems that are based upon the educationalobjectives, (4) computational and other tools that are needed in order to do so, and (5) solved andunsolved problems that can be used to learn and practice using the information to solve engineer-ing problems.For each study unit, the TExT additionally incorporates things commonly found in the traditionallecture. These take the form of video files that students can view on a computer, and they include(6) a “required pre-class lecture video” and (7) a “required pre-class examples video.” (In theprototype text these videos take the form of animated PowerPoint-type
thereflected inertia that appears in the mass matrix, which is related to the gear ratios and themoments of inertia of the rotor. The trade off between motor torque amplification, throughgearing, and the reflected inertia is discussed. Simulation and animation of the predictionsobtained from the equations of motion is also discussed.Control: Model based control, particularly the computed torque method and operationalspace control, is discussed along with trajectory generation. Simulating this controller for adesired trajectory allows students to produce motor speed-torque curves. These estimatedspeed-torque curves can then be used to size the actual motors for the real robots they areattempting to build. Thus in the Introduction to Robotics course
“Emerging Paradigms in Engineering Education” ASEE/PSW-2015 Conference Proceedings ASEE/PSW-2015 Conference April 10-11, 2015 Host School of Engineering and Computing National University, San Diego, California http://www.nu.edu/ Edited by Mohammad Amin, Pradip Peter Dey, & Laith Al Any ForewordI want to congratulate all those who participated in the 2015 ASEE PSW conference held atNational University this past April. This year’s theme, “Emerging Paradigms in EngineeringEducation” appropriately described the changes that have occurred and must continue to occur
to consider in teaching young learners to program.IntroductionBackground and Motivation Computers Science (CS) educators and researchers have long worked to capture thestruggles novices face in learning to programming. Most efforts focus on older students, butfrom the early days researchers have looked at young children learning to program as well. Pea(1983) describes programming and problem solving in children as young as 8 years oldextending work from Papert et al. (1978) who worked with 6th graders learning the LOGOprogramming language. Our wider research program looks at the early development ofComputational Thinking (CT) in even younger learners, starting in Kindergarten and extendinginto the second grade. While Papert and Pea’s
question,“Describe your most important teaching and learning goals with respect to the undergraduatecourses you teach. What do you hope your students will achieve by the end of yourundergraduate engineering course(s)? For example, you might say ‘I want my students to behighly competent in problem analysis’ or ‘I want my students to develop proficiency in fluidmechanics’. This question was presented immediately after the demographic information as away to encourage instructors to think about their teaching, and set the tone for the rest of thesurvey before introducing themes related to STSE, and the examples provided were designed togive engineering instructors a gentle nudge towards considering both traditional content and theskills/practices we
ring gear on the inner surface of acasing. This animation was implemented with QuteMol29 by reading PDB files from aNanoEngineer-1 molecular dynamics simulation. A section of the casing atoms is hidden toexpose the internal gearing assembly. QuteMol is an open source (GPL), interactive, highquality molecular visualization system. QuteMol exploits the current OpenGL shaders’ GPUcapabilities to provide innovative visual effects. QuteMol visualization techniques enhanceclarity and understanding of the 3D shape and structure of large molecules especially complexproteins. The SRG-III is the third parallel-shaft speed reducer gear; it is the first moleculargear train ever designed. The SRG-III has 15,342 atoms, and is the second
, is a way to fill the pipeline with skilledworkers who are ready to enter this field. Beginning in the elementary school level, WERC and CA2VES have engaged studentswith virtual reality simulations that combine the animation of a beetle moving through a turbineengine with learning about what makes the engine work. The exposure of math and science inthis capacity helps young students gain more interest than fear of these sometimes difficultsubjects. Moving to middle school, this organization has engaged in career fairs and science fairexpos where numerous industry and education partners set up booths to display careerinformation to rising eight graders. It is during the eight grade year that students in South Carolina choose
application of mathematics and science withjudgment gained from study, experience, and practice to solve problems or fulfill a human need.Engineering mathematics emphasizes application of mathematics rather than theory. The use ofmathematics in engineering may be in the form of rapid estimating or precise calculations. Ineither case a thorough understanding of mathematics is critical for success in engineering.Engineering modeling is the creation of visual or physical models simulating form, appearance,or function of engineered objects to facilitate testing and enhance further study, use, or design.Modeling may be in the form of sketches, graphics, prototypes, structural models, and mock-ups.Models may be scaled up as in the macro representation of
I would have rather had traditional Q&A questions instead of writing docu- mented HDL descriptions for course homework. 5 My digital design efforts in this class would have been better summarized with a formal report/paper. 6 Putting my design ideas into words helps me to see errors in my design and improves my overall output.Degree program information (i.e., major) was collected to examine how differences in backgroundaffect a student’s view of LP as it was used in the digital systems design course. While computerengineering and electrical engineering are very similar, the computer science and programming
highereducation that tout the benefits of this approach especially with regard to enhancingundergraduate instruction. This paper demonstrates how the Senior Capstone course(ELET 4308) in Computer Engineering Technology paralleled historical efforts toincorporate research-based learning in the undergraduate curriculum, thus anticipatingUniversity efforts in this area. The paper also examines the current state of the SeniorCapstone course and relation to the University Quality Enhancement Plan. IntroductionThe current emphasis on undergraduate research as an instructional tool can be traced tothe landmark Boyer Commission Report, Reinventing Undergraduate Education: ABlueprint for America’s Research Universities. A