Paper ID #17067WORK IN PROGRESS: Data Explorer – Assessment Data Integration, An-alytics, and Visualization for STEM Education ResearchJoshua Levi Weese, Kansas State University Josh Weese is a PhD candidate in the department of Computer Science at Kansas State University. Fo- cusing on education research, this experience comes from work as a graduate teaching assistant, various outreach programs, and time spent as a NSF GK-12 fellow. His downtime is spent in outreach programs aimed toward enriching local K-12 students’ experience in STEM, especially in computer science and sensor technologies.Dr. William H. Hsu, Kansas
Governors of the IEEE Education Society, he is currently Chair of the Distinguished Lectures Program for the IEEE Education Society.Prof. Manuel Castro, Universidad Nacional de Educacion a Distancia Manuel Castro, Electrical and Computer Engineering educator in the Spanish University for Distance Education (UNED) has a doctoral industrial engineering degree from the ETSII/UPM. Full Professor of Electronics Technology inside the Electrical and Computer Engineering Department. He is Head of De- partment of Electrical and Computer Engineering at UNED. Was co-chair of the conference FIE 2014 (Frontiers in Education Conference) organized in Madrid, Spain, by the IEEE and the ASEE, and will co- chair REV 2016 (Remote
organizations including Students for the Exploration and Development of Space, The Student Sustainability Council, and The Society of Women Engineers and has also been named to the dean’s list for the Purdue School of Engineering and Technology. She graduated high school in Spring Lake Park, Minnesota and currently lives in Brownsburg, Indiana with her husband and two children.Mr. Austin C. Stanforth MS, IUPUI Austin C. Stanforth is a Graduate Research Assistant with the Institute for Research on Social Issues (IRSI) and Department of Geography at Indiana University Purdue University Indianapolis (IUPUI). He is a Doctoral Candidate in the Applied Earth Sciences program at IUPUI and holds a Master’s of Science degree in
Massachusetts Institute of Technology and Princeton University. He is also Director of Materials World Modules, an NSF-funded, inquiry-based science and technology educational program. Page 11.864.1© American Society for Engineering Education, 2006 Laying The Foundation For Nanoscience And Nanotechnology With An Introductory Module For High School StudentsAbstractIn response to the need to create a skilled workforce in nanotechnology and to excite youngstudents with the wonders and potentials of science, the National Center for Learning andTeaching in Nanoscale Science and Engineering, is developing
taught in class and ultimately relate thelaboratory and real-world experience. The latter is crucial to a student of engineering as he mustbe able to identify and operate equipment relevant to his discipline. The use of traditionallaboratories in curricula however presents educators with unique attendant challenges. Notableamong these is the chronic underfunding of higher institutions of learning particularly indeveloping countries such as Nigeria4, 14. This is compounded by the rising cost of laboratoryequipment and increasing student enrollment, which implies an increase in the amount oflaboratory space required to handle the large student populations. Furthermore, some items ofequipment are so sensitive and expensive that they cannot be made
Proceedings of 2014 Zone 1 Conference of the American Society for Engineering Education (ASEE Zone 1) Linear Observers Design and Implementation Verica Radisavljevic-Gajic, Member, IEEE and of appropriate dimensions. To take the advantage of good Abstract— In this paper we show how to implement full- and features of feedback (see for example Chapter 12 of [9]), it isreduced-order observers using the software packages for often assumed that all state variables are available forcomputer aided control system design MATLAB and feedback (full
AC 2012-4551: CHARACTERIZING STUDENTS HANDWRITTEN SELF-EXPLANATIONSMr. James Herold, University of California, Riverside James Herold earned his B.S. in computer science at California Polytechnic State University, Pomona, in 2004. He is currently a Ph.D. student in computer science at the University of California, Riverside.Dr. Thomas Stahovich, University of California, Riverside Thomas Stahovich received a B.S. in mechanical engineering from the University of California, Berke- ley, in 1988. He received a M.S. and Ph.D. in mechanical engineering from the Massachusetts Institute of Technology in 1990 and 1995, respectively. He is currently Chair and professor in the Mechanical Engineering Department at the
. Thismulti-tiered approach enhances security by providing real-time detection and response.The following sections outline the key stages of the WhatsPhish workflow, detailing how messages areprocessed, analyzed, and classified to protect users from phishing threats as shown in figure 1.4.1. Architecture Diagram1. When a user sends a message on WhatsApp with potentially suspicious text or URLs, the process starts. This notice can be a text message or link that requires verification to see if it is related to phishing or another online danger. This message is forwarded via the WhatsApp platform to Botpress, a chatbot framework made to handle responses and parse incoming messages.2. WhatsPhish's main engine, Botpress, coordinates the message flow
. Department of Education grant (P031S100081) to create engineering pathways for students in the CSUB service area. Additionally, she was the co-PI for an NSF IUSE grant for STEM retention (NSF-DUE 1430398) and the co-PD for multiple U.S. Department of Education grants related to engineering education and outreach. Her research interests are focused on network and system security, particularly with respects to protecting mission-critical resources and ser- vices. She is also conducting research in applying biological concepts to cybersecurity, such as artificial immune systems. ©American Society for Engineering Education, 2023 Addressing the Needs of Hispanic/Latino(a) Students
Paper ID #18866Exploring a Virtual Reality Simulation to Aid Inductive Learning of FluidPressure CharacteristicsDr. Siddharth Savadatti, University of Georgia Dr. Siddharth Savadatti received his PhD in Computational Mechanics from North Carolina State Univer- sity in 2011 and has since been on the faculty of the College of Engineering at the University of Georgia. He teaches mechanics and numerical methods courses such as Statics, Fluid Mechanics, Programming, Numerical Methods for Engineers and Finite Element Analysis. In addition to traditional face-to-face classes, he has designed and taught courses in fully online and
AC 2007-267: A PRE-CAPSTONE COURSE DESIGNED TO IMPROVE STUDENTPERFORMANCE ON OPEN-ENDED DESIGN PROJECTSChristine Co, Oklahoma State UniversityBear Turner, Oklahoma State UniversityAlan Cheville, Oklahoma State University Page 12.93.1© American Society for Engineering Education, 2007 A pre-Capstone Course Designed to Improve Performance on Open-Ended Design ProjectsIntroductionMany engineering programs use capstone courses to expose students to open-ended designprojects and to help achieve ABET outcomes. While single capstone courses are the mostcommon, two course sequences are also used 1. The first course of two capstone sequencestypically
conference communications link via a local area network. The workshopsare based on typical Multimedia applications. It must be stressed that CIM is a pre-requisiteto CSM. The equipment used in CSM is expensive, ‘state of the art’ technology. Theprerequisite link helps to ensure that students are able to correctly handle expensiveequipment in a safe manner. We suggest that even with the higher level units there is norequirement to teach electronics or digital techniques.5. Computer Design – Network TechnologyNovell have internationally recognized professional development program - the NovellCertified Network Engineer (CNE) which consists of a number of courses. The unit NIM isbased on three courses from the CNE program i.e. Administration, Advanced
Paper ID #36946Leveraging Incentives, Disincentives, and Peer Feedback to EnhanceStudent PerformanceKyle Patrick Ditonto, United States Military Academy The authors of this paper are: Major Sam Yoo, Major Brandon Lawrence, and Major Kyle Ditonto. We are all active duty Army Officers serving as junior rotating faculty members within the Department of Systems Engineering at the United States Military Academy. All of us graduated from the United States Military Academy in 2011 and have served on active duty since graduation. MAJ Sam Yoo holds a Master of Science in Engineering and Management from the Massachusetts Insti
Paper ID #23936Student Project: Instrumentation and Control of Solar-Powered Algae Biore-actorDr. Richard Chiou, Drexel University (Eng. & Eng. Tech.) Dr. Richard Chiou is Associate Professor within the Engineering Technology Department at Drexel Uni- versity, Philadelphia, USA. He received his Ph.D. degree in the G.W. Woodruff School of Mechanical Engineering at Georgia Institute of Technology. His educational background is in manufacturing with an emphasis on mechatronics. In addition to his many years of industrial experience, he has taught many different engineering and technology courses at undergraduate and
amorphous silicon solar cells, organic solar cells, organic light emitting diodes (OLED), and thin film transistors (TFT).Dr. Nael Barakat, Grand Valley State University Nael Barakat is the mechanical engineering Program Chair at GVSU, a registered Professional Engineer in Ontario, Canada, and a fellow of the ASME. He joined academia in 2003 after years of industrial experience and consulting. Barakat holds a Ph.D. in mechanical engineering from McMaster University, Canada. His areas of interest include controls, robotics, automation, systems integration, metrology, and NEMS, as well as engineering ethics, professionalism, and education
Session 1232 Personal Responsibility in Collaborative Lab Courses Randall L. Musselman Department of Electrical Engineering U.S. Air Force Academy, COABSTRACTWhile the concept has been around for some time, cooperative learning is often avoided due tothe differences in students’ individual levels of responsibility. This paper relates the personalexperience of one instructor experimenting with cooperative learning in a microwave-measurements lab. An overall purpose that provides continuity between weekly labs became akey ingredient to the success of
AC 2010-2138: NANOPHOTONICS MODULES FOR DIVERSE CURRICULARINCORPORATIONNatalia Litchinitser, SUNY at BuffaloAlbert H. Titus, SUNY at BuffaloAlexander N. Cartwright, SUNY at BuffaloVladimir V. Mitin, SUNY at Buffalo Page 15.901.1© American Society for Engineering Education, 2010 Nanophotonics Modules for Diverse Curricular IncorporationAbstractNanophotonics is a field within science and engineering that includes research to createnanoscale structures with desired optical properties as well as using photons to fabricate andcharacterize systems at the nanoscale. The field of nanophotonics has resulted in a plethora ofnew devices including highly efficient light emitting
Paper ID #40864Discussion Questions As Metacognitive ExercisesProf. Autar Kaw, University of South Florida Autar Kaw is a professor of mechanical engineering at the University of South Florida whose scholarly interests include engineering education research, adaptive, blended, and flipped learning, open courseware development, composite materials mechanics, and bascule bridge design. His work has been funded by the National Science Foundation, Air Force Office of Scientific Research, Florida Department of Trans- portation, and Wright Patterson Air Force Base. Under Professor Kaw’s leadership and funding from NSF, he
Teaching Alternative Energy through Biodiesel from Algae Kara Cokeley1, Claire Mockler1, Min Feng Zheng1, and James Patrick Abulencia1 1 Department of Chemical Engineering, Manhattan College, Riverdale, NY, 10463, USA Session 5: Interdisciplinary programs, sustainability and alternative energy as related to engineering educationAbstract: As the world’s energy demands continually increase, the sources of today’s energy aredrastically depleting and the search for renewable fuel is growing. Biofuels are desirablebecause the carbon dioxide released when combusted is ultimately captured by photosyntheticplants, thus making the emissions process essentially carbon neutral. The
program R to do exploratory factor analysis (EFA)began shortly after closing access to the survey. However, before the data could be used it had tobe sorted by usable and unusable. Unusable data is categorized as unfinished surveys, potentialbots, and straight-line responses. As seen in Figure 2, approximately 71% of responses weredeemed as usable data while 29% were not. Out of the total 831 responses recorded, this worksout to 587 usable responses and 244 unusable responses.Figure 2: Distribution of Usable and Unusable data. © American Society for Engineering Education, 2024 2024 ASEE Midwest Section ConferenceFigure 3: Percentage Breakdown of Survey Participants’ Demographics When
ASEE-NMWSC2013-0031 Understanding Wireless Propagation Through Ray-Tracing Simulation Nischal Adhikari and Sima Noghanian Department of Electrical Engineering, University of North Dakota niischal@gmail.com, sima.noghanian@engr.und.eduAbstractThe field of wireless communication has become an important part of electrical engineeringundergraduate program. Due to developments in this field there is an increasing need forgraduates with good understanding of wireless channels. However, the electromagnetic fieldsand radio propagation has been regarded as a dry and
propels the paint from the can a student can see potential design goals related to vaporpressure. Additionally, the painting techniques allow students a glimpse into graduate-level fluidmechanics phenomenon such as the aforementioned instabilities.While the activity described departs from a more typical engineering lab experience of takingmeasurements, analyzing data, answering technical questions, etc. we feel that as a hands-onlearning experience within an engineering program it merits consideration. This paper describesthe first iteration of the project and key insights followed by what has been learned to-date in thesecond iteration including desciptions of the fluid painting technique, relevant fluid mechanicsprinciples, materials used
, where he has been teaching Construction Graphics/Quantity Take-Off, CAD & BIM Tools for Construction, Building Construction Systems, Building Construction Estimating, Heavy/Highway Construction Estimating, Construction Planning, and Construction Project Management. Dr. Lee’s main research areas include Construction Informatics and Visual Analytics; Building Information Modeling (BIM), Information and Communication Technology (ICT) for Construc- tion Management; and Interactive Educational Games and Simulations. E-mail: leen@ccsu.edu. c American Society for Engineering Education, 2016 Team Building for Collaborative Learning Environment in Construction
Learning Differential-Equation Aspects of Fluid Mechanics with Spreadsheet-Facilitated Computational Fluid Dynamics Jean-Pierre Delplanque and Robert J. Kee Division of Engineering Colorado School of Mines, Golden, CO 804011 IntroductionIt is well known that continuum fluid flow is described at its most fundamental level by theNavier-Stokes equations, a system of nonlinear, second-order, partial differential equations.In spite of this solid foundation, the equations themselves are sufficiently difficult to under-stand and solve that they are often introduced only superficially in fluid-mechanics courses.Because it is difficult to connect mathematical
assistant professor of computer science at California State University Monterey Bay. He worked for nearly a decade as a software engineer before earning his PhD. His primary interests are programming pedagogy and the psychology of programming. ©American Society for Engineering Education, 2023 Plickers and Peer Instruction in a Software Design Course1 AbstractActive learning strategies, such as peer instruction, have been shown to increase student achieve-ment in STEM classes. This paper explores a case study of peer instruction with direct studentfeedback using printed response cards (Plickers) or Zoom polls.Combining peer instruction with Plickers provides instructors and students with timely
Paper ID #8380Invited Paper - Virtual Environment: A Tool for Developing Students’ Abili-ties to Apply Mathematics to Real-life ProblemsDr. Olga V Shipulina, Simon Fraser University EDUCATIONAL AND TRAINING BACKGROUND SIMON FRASER UNIVERSITY, Canada, 2008 –present Faculty of Education Ph.D. (c) in Mathematics Education MOSCOW STATE AUTOMOBILE & ROAD TECHNICAL UNIVERSITY, Russia, 2004 Institute for Professional Development, Two year course in ”Engineering Education” TOMSK STATE UNIVERSITY, Russia, 2000 Department of Mechanics and Mathematics Ph .D. in Ap- plied Mathematics (Russian equivalent) TEACHING
Paper ID #19464Effectiveness of Incorporating Inquiry-Based Learning into Pre-LaboratoryExercisesDr. Rika Wright Carlsen, Robert Morris University Rika Wright Carlsen is an Assistant Professor of Mechanical and Biomedical Engineering at Robert Mor- ris University. She also serves as a Coordinator of Outreach for the School of Engineering, Mathematics and Science. She received her M.S. and Ph.D. in Mechanical Engineering from Johns Hopkins University and her B.S. in Mechanical Engineering (Minor in Bioengineering) from the University of Pittsburgh. She currently teaches courses in statics and strength of materials, fluid
. A.; Bouchard, C. G. K., Developing problem solving skills: The mcmaster problemsolving approach. Journal of Engineering Education 1997, 86, 75-91.9. Polanco, R.; Calderon, P.; Delgado, F. Effects of a problem-based learning program on engineeringstudents' academic achievements, skills development and attitudes in a mexican university; Mexico, 04-00, 2001; p21.10. Deek, F. P.; Kimmel, H.; McHugh, J. A., Pedagogical changes in the delivery of the first-course incomputer science: Problem solving, then programming. Journal of Engineering Education 1998, 87, 313-320.11. Maskell, D., Student-based assessment in a multi-disciplinary problem-based learning environment.Journal of Engineering Education 1999, 88, 237-241.12
equilibriumIntroductionEngineering students are often adept at solving highly defined problems such as the forces in thetrusses of a bridge, but falter when asked to solve a more open-ended problem and to describethe concepts involved. Further, students who are studying bioengineering may not beintrinsically motivated to analyze bridges and cranes and are more inspired by biological- andmedical-related problems. Bioengineering nationally attracts a more diverse pool of students thanhas been historically observed in engineering as a whole (Hill 2002, Hill 2002). To encouragecuriosity and increase students’ conceptual understanding of static equilibrium, we developedand implemented an open-ended project in our introductory biomechanics course.The formation of the project was
Paper ID #36444Using a Toaster Oven for a Transient Heat Transfer LabFredrick Nitterright Assistant Teaching Professor in the Mechanical Engineering Technology program at Penn State Behrend. Research interests in include manufacturing technologies and manufacturing cost analysis.Leeann Marie Reynolds © American Society for Engineering Education, 2022 Powered by www.slayte.com Using a Toaster Oven for a Transient Heat Transfer LabAbstractAt Penn State Behrend, the heat transfer lab is part of a 4-credit heat transfer course for themechanical