Paper ID #20263Mobile Payments and End Users’ Sensitivity to Information DisclosureMr. Abdulwaheed Johnson, Pace University Abdulwaheed Johnson is a cybersecurity enthusiast who is currently in the second year of his Masters’ Degree program in Telecommunication Systems and Networks at Pace University, New York. His first degree was in Electrical Engineering, and is looking to specialize in cloud security after the completion of his Masters Degree program.Dr. Anthony Joseph, Pace University Dr. Anthony Joseph has a Ph.D. in electrical engineering with specialization in digital signal processing. He conducts research in
extensive on-line help system, giving examples of the commands aswell as a brief description. There is a low priced student edition which contains the complete kernel and manyof the library routines. By using its built in programming language, instructors can construct fascinating,optionally interactive, examples to further involve students in mathematical concepts. Its graphing capabilities.along with the incorporated word processor, makes it easy for students to write reports on their mathematicalwork while doing the actual calculations. The role of the teacher changes, from teaching rote to showing how to get to the essentials of theproblem. Much of the teacher’s effort in the standard curriculum is concentrated in teaching the line-by
USB cable.The downloaded executable is then selected using the brick’s menu/button interface, andexecuted. Students can then see for themselves how the motor torque increases so as to maintainspeed when loads are applied. They can also repeat the experiment with different controllergains in order to observe how this affects the resultant closed-loop behavior.6. ConclusionAdvances in low-cost target hardware, and automatic code generating software tools provide anopportunity for educators to engage students in challenging embedded system applicationswithout the traditional difficulties associated with low-level hardware programming. Inparticular, the Villanova University LEGO Real Time target (VU-LRT) enables users to accessthe capabilities of
] Carlson, L.E. and Sullivan, J.F., (1999). Hands-on Engineering: Learning by Doing in the Integrated Teachingand Learning Program, International Journal of Engineering Education, 15(1), 20-31.[2] Hein, G.L. and Sorby, S.A., (2001). Engineering Explorations: Introducing First-Year Students to Engineering,31st Annual Frontiers in Education Conference, Reno, NV, T3C 15-19.[3] Hall, D., Cronk, S., Brackin, P., Barker, M., Crittenden, K., (2008). Living with the Lab: A Curriculum toPrepare Freshman Students to Meet the Attributes of “The Engineer of 2020”, ASEE Annual Conference andExposition, Pittsburgh, PA, AC 2008-2281.[4] Skurla, C., Thomas, B., Bradley, W., (2004). Teaching Freshman Using Design Projects and LaboratoryExercises to Increase
Paper ID #18534Global Humanitarian-based Projects: A Documentation Strategy for Strength-ening Project SustainabilityDr. Randy S. Lewis, Brigham Young University Dr. Randy S. Lewis is professor and chair of Chemical Engineering at Brigham Young University (BYU). He received his B.S. and Ph.D. in Chemical Engineering from BYU and Massachusetts Institute of Tech- nology, respectively. He currently serves as vice-chair of the Education and Accreditation Committee of the American Institute of Chemical Engineers (AIChE) and as an ABET commissioner for accrediting engineering programs. He previously served in several national
account.II. Literature reviewWeb-based instruction has been defined as: “…a hypermedia based instruction program which utilizes the attributes and resources of the World Wide Web to create a meaningful environment where learning is fostered and supported.”1The most important aspect of web-based instruction, also called web-based training is thatinformation is disseminated through the use of the Internet and the World Wide Web (WWW).Web based training is actually a specialized form of online education which is defined as, “…any form of learning/teaching that takes place over a computer network”. This type of activitycan take place on any type of network, from an intranet to the World Wide Web.2According to educator Andy Carvin
) Strongly Disagree (0) NA Doesn't Apply The qualitative analysis of the data received from the survey shows that when students wereprompted, if they thought developing intuition was important in order to learn computer algorithms, theaverage response was 3.26. The class also supported the idea of understanding the relevance of analgorithm before the start of programming as the average score was 3.25. The importance of visualizationfor learning algorithms scored an average of 3.32. When students were asked if they prefer to be involvedin communication-based experiences, hands-on activities, 3D puzzles, and team-based activities tointuitively understand algorithms, the average response was 2.6 and
Paper ID #23536Using Guidelines from Cognitive Load Theory for the Traditional/Online FlippedClassroom ApproachProf. John M. Santiago Jr., Colorado Technical University Professor John Santiago has been a technical engineer, manager, and executive with more than 26 years of leadership positions in technical program management, acquisition development and operation research support while in the United States Air Force. He currently has over 16 years of teaching experience at the university level and taught over 40 different graduate and undergraduate courses in electrical engineer- ing, systems engineering, physics and
. Scott Cottle, the machinist at Ohio Northern University.Bibliography[1] Núñez J. S., Lascano S. F., Esparragoza, I. E. A project-based learning approach for a first-year engineering course, Eleventh LACCEI Latin American and Caribbean Conference forEngineering and Technology (LACCEI’2013), Cancun Mexico, August 14 - 16, 2013.[2] McLoone, S.C., Lawlor, B. J., and Meehan, A. R. The Implementation and Evaluation of aProject-Oriented Problem-Based Learning Module in a First Year Engineering Program. Journalof Problem based learning in Higher Education, 4(1), 2016.[3] Anwar, S and Granlund, E. Enhancing a Freshman Level Engineering Design Course throughProject Based Learning. Proceedings of the 2003 American Society for Engineering EducationAnnual
2006-1547: IMPLEMENTING SENSOR NETWORKS USING SENSOR MOTESAND J-DSPVISAR BERISHA, Arizona State University VISAR Ho-Min Doctoral student under an NSF Fellowship working in speech processing and in real-time sensor fusion.HO-MIN KWON, Arizona State University Ho-Min is a Doctoral student working on beamforming and on real-time sensor networks.Andreas Spanias, Arizona State University Dr. Andreas Spanias is professor working in the area of signal processing in the Department of Electrical Engineering. Page 11.728.1© American Society for Engineering Education, 2006 Interfacing Java DSP with
the high school level, earning recognition for innovation and leadership in STEM programs. His industry background includes product development at Bigg Design and engineering roles at NIST, Omnitech, and Philips Technology, with projects ranging from energy systems to robotic assembly lines. Lem holds a B.S. in Mechanical Engineering from the University of Maryland, an M.S. in Management Science from Liberty University, and is trained as a machinist with expertise in CAD software, welding, CNC machining, and 3D printing. ©American Society for Engineering Education, 2025 Laboratory Fixture for Heat Transfer Using a Hair DryerAbstractThis paper describes a simple test fixture for
Session 2259 Acoustical Radar Leonard Sokoloff DeVRY Technical InstituteVirtual Instrumentation is making a significant impact in today’s industry, education and research.DeVRY Technical Institute selected LabVIEW as an excellent representative of this technologyand is implementing LabVIEW into its curriculum at all DeVRY campuses in the United Statesand Canada.LabVIEW@ (Laboratory Virtual Instrument Engineering Workbench) a product of NationalInstruments@, is a software system that incorporates data acquisition, analysis and presentation,and
frequency devices.MANI SOMA Page 3.532.5 5Mani Soma is Professor of Electrical Engineering and Associate Dean for Organizational Infrastructure, College ofEngineering at the University of Washington. His research interests include the design, test, and reliabilitycharacterization of integrated circuits and systems. He is chairing a major industry-driven curriculum developmenteffort, the IEEE Test Education Committee in the Computer Society. As Associate Dean, he works with the Collegefaculty and ABET in curriculum and teaching improvements to meet the new ABET 2000
Paper ID #49478Reinforcement Learning with Human Experience (RLHE) for Racing CarGamesProf. Jundong Liu, Ohio UniversityDr. Trevor Joseph Bihl, Air Force Research LaboratoryDaniel Masami Nagura, Ohio University ©American Society for Engineering Education, 2025 Reinforcement Learning with Human Experience (RLHE) for Racing Car Game Abstract Path and motion planning are critical components of many autonomous tasks. In this work, we introduce a novel method to train reinforcement learning (RL) models for OpenAI Gym’s Car Racing game. The underlying
Paper ID #30700Learning About Diffusion at Two Levels: Agent-based Micro-scale andEquation-based Macro-scaleJacob Kelter, Northwestern University - Computer Science and Learning Sciences Jacob Kelter is a PhD student at Northwestern University in the joint program between computer science and learning sciences. His research focuses on using agent-based modeling for science education and computational social science research, both related broadly to complex systems science.Prof. Jonathan Daniel Emery, Northwestern University - Department of Materials Science and EngineeringProf. Uri Wilensky, Northwestern University Uri Wilensky
Paper ID #7789Building Wireless Sensor Networks with ZigbeeDr. Mohammad Rafiq Muqri, DeVry University, PomonaRobert Alfaro Page 23.263.1 c American Society for Engineering Education, 2013 Building Wireless Sensor Networks with ZigbeeThe microprocessor sequence courses are among the important and challenging courses thatstudents take in the electronics, computer, and biomedical engineering curriculum; these coursesalso lay the foundation for capstone senior projects. The practical, but abstract, programmingconcepts in embedded
University, in Computer Engineering. Page 11.860.1© American Society for Engineering Education, 2006 Laboratory for Digital ElectronicsAbstractThe Digital Electronics course (ECE 3500)1 was created in the Department of Electrical andComputer Engineering of Western Michigan University to develop the skills students need todesign, and simulate digital integrated circuits down to the transistor layout level using MentorGraphics Category II tools2. Digital Electronics is a required course for students majoring incomputer engineering. The class has an embedded lab which makes use of the 0.25 microntechnology for IC
SMART assessment, a modified mastery learning pedagogy for problem based courses. He created and co-teaches a multi-year integrated system design (ISD) project for mechanical engineering students. He is a mentor to mechanical engineering graduate teaching fellows and actively champions the adoption and use of teaching technologies. American c Society for Engineering Education, 2021 Cheating and Chegg: a RetrospectiveAbstractIn the spring of 2020, universities across America, and the world, abruptly transitioned to onlinelearning. The online transition required faculty to find novel ways to administer assessments andin some cases, for
accredited programs: civil, mechanical, electrical and computerengineering, as well as computer science. The University is currently on a quarter system, withten-week instructional periods. Materials Science, offered in the spring quarter, is required for allsecond-year mechanical and civil engineering students. Usually there are two sections with 50-70 students enrolled in the course each year. Prior to enrolling in the course, students willtypically have completed five quarters of general engineering, mathematics, and science courses.These include several courses in solid mechanics and one chemistry course. In addition, therequired Freshman Engineering course provides an introduction to the machine shop whichallows students to prepare samples for
. American c Society for Engineering Education, 2020 The Impact Detector Project: Mechanical and Electrical Worlds CollideAbstractMechanical engineering students at Penn State University, Berks campus, were tasked withdesigning and fabricating an impact detector to meet a detailed specification. The device wasintended to be similar to that used to trigger the inflation of automobile airbags. The project waspart of a third-year instrumentation and measurement theory course and was implemented toprovide the students with exposure to mechanical and electrical design, fabrication, test, anddocumentation techniques and methods. Students worked in teams of two or three members. Thedevice specification provided
– Should Students Do Them or Design Them?”, Chemical EngineeringEducation, vol 29, no. w, 1995, p. 34.vi Macias-Machin, A., Guotai Zhang, and Octave Levenspiel, “The Unstructured Student-Designed Research Typeof Laboratory Experiment”, Chemical Engineering Education, vol. 24, no. 2, 1990, pp. 78-79.vii Dym, C.L., A.M. Agogino, O. Eris, D.D. Frey, and L.J. Leifer, “Engineering design thinking, teaching andlearning”, Journal of Engineering Education, vol. 94, no. 1, 2005, 103-120viii ABET, 2009-2010 Criteria for Accrediting Engineering Programs, 2008ix Northeastern University, ABET Self Study Report for Mechanical Engineering, 2007
insights into student perspectives on technology-enhanced gradingtools, contributing to discussions on digital platforms in academia.IntroductionRecent years have witnessed a transformative shift in educational assessment with technology-driven solutions. Acknowledging the need for efficient, transparent, and unbiased gradingmethods, this paper explores Gradescope, a browser-based AI-assisted grading tool, in a HeatTransfer course within a Bachelor of Science in Mechanical Engineering program. Gradescopeoffers advantages in grading efficiency, transparency, and bias mitigation, aligning with theevolving landscape of educational assessment.From the author’s perspective, Gradescope presents three main advantages: (1) an efficientgrading workflow, (2
potential to achieve value creation. Working exter- Figure 2. Network university case study. (The statistics used in this case study were collected atnally brings new ideas from experts who have had different the time of submission of this manuscript.)42 Chemical Engineering Education Figure 4 Illustration of the Benefits of University and Industry Collaboration [10] The effectiveness of thecollaboration can be viewedholistically
Paper ID #37973SSCTrac: AI-Powered Soil Moisture Condition DetectionBiswajit Biswal Dr. Biswal is working as Assistant Professor of Computer Science at South Carolina State University, Orangeburg, SC, USA since January 2017. He holds Ph.D. in Computer and Information Systems Engineering from Tennessee State University, M.S. in Electrical Engineering form NYU Tandon School of Engineering, and B.E. in Medical Electronics Engineering from India. His research interests are AI, machine learning, data mining, cyber security, cloud computing, RF signal detection (Drones), IOT, and big data analysis. He has more than 10
be appendedusing the .include assembler directive, as in C programming. The .include assembler directiveserves the function of a linker to include or chain several files together. Support Software and Hardware ToolsInterfacing the DSK to External SRAM and Flash MemoryA daughter board was built with 32 Kwords of SRAM and 128 Kbytes of flash memory. Thisdaughter board connects to (fits underneath) the DSK through the four connectors JP2-3 and JP5-6 on the DSK. Appropriate signals (address, data, V+, GND, R/W, INT0-3, STRB) from theC31 used for the SRAM and the flash memory are available through those four connectors.The address lines A22 and A23 (both low) provide the memory decode range 0-3FFFFFh. Theexternal SRAM
Paper ID #49605Tag AI-SandboxRoberto Andre Mossi, Gannon UniversityDr. Ramakrishnan Sundaram, Gannon University Dr. Sundaram is a Professor in the Electrical and Computer Engineering Department at Gannon University. His areas of research include computational architectures for signal and image processing as well as novel methods to improve/enhance engineering education. ©American Society for Engineering Education, 2025 Tag AI-Sandbox Abstract This paper develops a Tag AI-Sandbox through competition
their problem-solving abilities, and are betterprepared for careers in both industry and research. This approach not only reinforces theoreticalconcepts but also provides a hands-on learning experience that is critical in developing practicalskills. The effectiveness of this educational model can be evaluated through a combination ofassessments, including conceptual tests, coding projects, debugging tasks, and industry-standardevaluations. To ensure a comprehensive assessment and continuous skill development, variouscomputational tools, learning management systems, auto-graders, and visualization software areemployed. These resources help track progress and provide immediate feedback to students. Inthe end, this blended learning methodology
NorrgranCynthia Norrgran is an associate teaching professor in Chemical and Biological engineering. She has aBS in Physics, MS in astrophysics, PhD in cognitive psychology, and an MD. She is a retiredneurosurgeon. She has been teaching biological sciences at Colorado School of Mines for 19 years. © American Society for Engineering Education, 2023 The Neuroscience Behind the Advice Given to Freshmen College Students Cynthia Norrgran and Dendy Sloan Chemical and Biochemical Engineering Colorado School of MinesWhen most of us started college, we were given advice on how to succeed. The advice went somethinglike this
Western Washington University where I have been faculty in the Plastics and Composites Engineering Program for the past 13 years. My research interests are in composite manufacturing.David Frye, Western Washington University David has worked for Western Washington University in their Plastics and Composites Engineering (PCE) program for five years. As the PCE Lab Technician he helps develop curriculum and teaches many of the lab portions of courses that the program offers. David is a graduate of the University of Washington with a B.S. in Environmental Science. c American Society for Engineering Education, 2019 Teaching Composites Manufacturing Through Tooling Western
Scholar and alumna of the University of Georgia, USA, where she earned her PhD in Computer Science. She is currently an Associate Professor of Computer Science and Program Lead for the BS Software Engineering at Cal Poly Humboldt. Dr. Bogle has a passion for sharing and helping students to improve the quality of their lives through education, motivation and technology. She has published two book chapters, two journal articles and several peer reviewed conference papers in the areas of Machine Learning, Time Series Predictions, Predictive Analytics, Multimedia in Education and E-Learning Technologies.Rowena Quinn ©American Society for Engineering Education, 2025 WIP: Predictive