. Networks provide the “glue” that connect each of the localizedmodules together into a functioning whole. We believe that students who take courses inmicroprocessor embedded control should have some exposure to network-connected controlsystems, and if possible they should also have experience in their implementation. This paperdescribes a project that we undertook at the U.S. Naval Academy in our computer engineeringtrack where our students used an I2C network and PIC16C84 microprocessors to construct amodel distributed shipboard damage control system.1. IntroductionThe Weapons and Systems Engineering Department at the United States Naval Academy offersan ABET accredited Systems Engineering degree to about one hundred students annually. Aspart of
Carolina State University and Purdue University.II. MethodologyPurpose of the StudyThe purpose of the study was to determine whether the presence of coordinate axes in a test ofspatial visualization ability affects scores and response times on a mental rotations task forstudents enrolled in introductory engineering and technical graphics classes. Coordinate axes wereadded to the PSVT to determine whether the presence of the axes was a sufficient contextual cuefor improving scores and response times.SampleStudents enrolled in introductory engineering graphics courses at North Carolina State Universityduring the 1998 fall semester were required to participate in the study as part of the requirementsfor their course. Of the 361 students enrolled in
ofreflection and desire for learning that will enable students to become life-long learners andeffective communicators. By that last phrase we do not wish to imply that we aim to producenovelists or poets, though those too are worthy endeavors; rather, we intend to avoid the tragedyof talent embedded in the following statement by George Heilmeier, corporate executive atBellcore: Communication skills are extremely important. Unfortunately, both written and oral skills are often ignored in engineering schools, so today we have many engineers with excellent ideas and a strong case to make, but they don’t know how to make that case. If you can’t make the case, no matter how good the
The Formation of Supported Gold Nanostructures on Oxide Substrates Invited Melissa P. Mackinnon Department of Mechanical Engineering, Temple University, Philadelphia, PA 19122 Kyle D. Gilroy Department of Mechanical Engineering, Temple University, Philadelphia, PA 19122 Aarthi Sundar Department of Mechanical Engineering, Temple University, Philadelphia, PA 19122 Robert Hughes Department of Mechanical Engineering, Temple University, Philadelphia, PA 19122
studiesinvolving human subjects (Borrego, 2007). The predictive model discussed in this paper isbroadly applicable to the measurement of only student achievement, but is still a powerful toolfor making a direct measure of the impact of a particular change on the achievement of a studentgroup.The best metric by which to predict undergraduate student performance in engineering, science,and technology-related courses is a topic open to further exploration. Researchers have foundvarying levels of success using diverse student characteristics as indicators. For example, Eskewand Faley (1988) proposed a complex model of factors affecting student performance inbeginning accounting courses; among the factors found to be most significant were SAT scores,high
. Impact ImpactGoal 05 Scenario 03 Actions Feedback (P/N/NU) Score By encouraging women in science, Encourage female technology, engineering, and mathematics, we
the students felt it important after each stage was completed that fullset of each teams code be shared with the entire class. This would provide students withmore opportunities to read code. In future offerings of the course, team evaluations withindividual accountability will be used.Bibliography Information[1] Course website: https://engineering.purdue.edu/OOSD/F2009/index.html.[2] Kak, A. C., “Programming with Objects: A Comparative Presentation of Object Oriented Programmingwith C++ and Java”, John-Wiley, March 2003.[3] Friedman, R. and D. Fadi, “Innovation and Education in the Digital Age: Reconciling the Roles ofPedagogy, Technology, and the Business of Learning, IEEE Transactions on Engineering Management,November 2003.[4] Smith, K. A
on the results of the study conducted, 50 % of the students have come to under-stand and 70 % became interested in learning CAD. Some students who at first disliked the tradi-tional manual drafting turned out to advocate CAD and CAD preference is more influenced by thetraditional drafting experience rather than by keyboard skills.1.IntroductionTowards the end of 1970 CAD has been especially prevailing as the main tool in the field of theautomotive, aircraft, architecture and electricity. Presently, it is not too daring to say that CAD hasconsiderably replaced traditional manual drafting. In light of this technological advancement, CADsystems have been gradually putting into use even in high-school level. Considering the fast tech-nological
measurements. Page 4.18.14Bibliography1. Earle , J. H., Drafting Technology , Addison-Wesley Pub. Co., 1982.2. Woodworth, F., Graphical Simulation, International Textbook Co., 1967.3. Hinkle, R. T., Kinematics of Machines, 2ed, Prentice-Hall, Inc., 1960.4. Kreight , F., Principles of Heat Transfer, 2ed, International Textbook Co., 1969.5. Janna, W. S., Engineering Heat Transfer , PWS Engineering, 1986.6. Keith, T. G. and W. S. Janna, “Graphical Solution of Unsteady Viscous Flow Problems”, Int J Mech EngrgEduc, 5, 2, 1977, ppg. 97--105.7. Nusselt, W., “ Graphische Bestimmung des Winkelverhaltnisses bei der Warmestrahlung”, VDI Z 72, 1928,pg. 673.8. Siegel, R. and J. R
Session 2532 Peer Grading over the Web: Enhancing Education in Design Courses Edward F. Gehringer North Carolina State University efg@ncsu.eduAbstractWe have implemented a peer-grading system for review of student assignments over the World-Wide Web and used it in approximately eight computer science and engineering courses.Students prepare their assignments and submit them to our Peer Grader (PG) system in the formof one or more Web pages. Other students are then assigned to review the pages, with
Computer Science & Engineering from Comput. Surv., vol. 39, no. 3, 2007. Article 9. Taibah University in Medina, Saudi Arabia. Her research interests include[6] O. Kessler et al., ” Functional description of the data fusion process”, congestion mechanisms, wireless sensor networks, computer networks, mobile Tech. rep., Naval Air Development Center, Warminster, PA, USA. computing, network security, and data fusion. January. Report prepared for the Office of Naval Technology. 1992[7] A. N. Steinberg, C. L. Bowman, and F. E. White, “Revisions to the JDL data fusion model,” in AeroSense’99, pp. 430–441, 1999.[8] D
studiesinvolving human subjects (Borrego, 2007). The predictive model discussed in this paper isbroadly applicable to the measurement of only student achievement, but is still a powerful toolfor making a direct measure of the impact of a particular change on the achievement of a studentgroup.The best metric by which to predict undergraduate student performance in engineering, science,and technology-related courses is a topic open to further exploration. Researchers have foundvarying levels of success using diverse student characteristics as indicators. For example, Eskewand Faley (1988) proposed a complex model of factors affecting student performance inbeginning accounting courses; among the factors found to be most significant were SAT scores,high
Proceedings of 2014 Zone 1 Conference of the American Society for Engineering Education (ASEE Zone 1) Pheromone Termite (PT) Model to Provide Robust Routing over Wireless Sensor Networks 1 2 Abdul Razaque, Member IEEE and Khaled Elleithy, Senior Member IEEEAbstract—In this paper, a scalable mobility-aware pheromone multiple access (TDMA) mechanism to decrease the energytermite (PT) analytical model is proposed to provide robust and consumption. From the other side, scheduled based MACfaster routing for improved throughput and minimum latency in protocols experience do not
studiesinvolving human subjects (Borrego, 2007). The predictive model discussed in this paper isbroadly applicable to the measurement of only student achievement, but is still a powerful toolfor making a direct measure of the impact of a particular change on the achievement of a studentgroup.The best metric by which to predict undergraduate student performance in engineering, science,and technology-related courses is a topic open to further exploration. Researchers have foundvarying levels of success using diverse student characteristics as indicators. For example, Eskewand Faley (1988) proposed a complex model of factors affecting student performance inbeginning accounting courses; among the factors found to be most significant were SAT scores,high
. She leads the Environmental Resource Sustainability group, which studies themes related to environmental and water resources engineering, atmospheric water harvesting, waste-to-energy technologies, and environmental remediation. Her work integrates and highlights science communication and community needs-based research. Her passions include designing hands-on learning tools and leading public outreach initiatives for STEM awareness and engagement among all levels of learners.Sydney Donohue Jobe, University of New Mexico Sydney Donohue Jobe works as the Outreach Coordinator and Education Specialist for the Center for Water and the Environment and the Accelerating Resilience Innovations in Drylands Institute at the
, Dr. Stahovich joined the Mechanical En- gineering Department at UC Riverside in 2003 where he is currently a Professor and Chair. His research interests include pen-based computing, educational technology, design automation, and design rationale management.Robert C Calfee, Graduate School Of Education, University of California Riverside Page 22.82.1 c American Society for Engineering Education, 2011 A Pen-Based Statics Tutoring SystemAbstractWe present an intelligent pen-based tutoring system for Statics – the sub-discipline ofengineering mechanics concerned with the
T. A. Ito, “Fitting in to move forward: Belonging, gender, and persistence in the physical sciences, technology, engineering, and mathematics (pstem),” Psychology of Women Quarterly, vol. 41, no. 4, pp. 420–436, 2017. [3] C. Mayfield, S. K. Moudgalya, A. Yadav, C. Kussmaul, and H. H. Hu, “Pogil in cs1: Evidence for student learning and belonging,” in Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 1, 2022, pp. 439–445. [4] E. Soep, C. Lee, S. Van Wart, and T. Parikh, “Code for what,” in Popular Culture and the Civic Imagination: Case Studies of Creative Social Change. New York University Press,, 2020, pp. 89–99. [5] A. G. S. Raj, J. M. Patel, R. Halverson, and E. R. Halverson, “Role of
ASEE-NMWSC2013-0040 Experience of Teaching Embedded System Design using FPGAs Department of Electrical, Computer Engineering and Technology Minnesota State University, Mankato, MN 56001 Han-Way Huang, han-way.huang@mnsu.edu Nannan He, nannan.he@mnsu.eduAbstractAn embedded system is a product using one or more computers as its controller. Traditionally,the controller of an embedded system is an off-the-shelf microcontroller from microcontrollervendors. However, an off-the-shelf microcontroller may not provide the required peripheralfunctions or cannot achieve the desired
Science degree in Architecture from the Illinois Institute of Technology and her Bachelor’s of Architecture degree from Ball State University. Additionally, she continues to practice architecture through her own company, Muse Design. She enjoys the synergistic relationship between her role as a professor and her role as an architect, and believes that this hybrid provides real world practicality into the classroom on a daily basis.Ms. Kelsey Lee RekerMary Ann Frank, Indiana University Purdue University, Indianapolis Senior Lecturer, Interior Design c American Society for Engineering Education, 2016 From Design Inception through Project Completion: Constructing a
course.computer crime. II. Recommended Course Outline Undergraduate IT students at UAE University We propose to effectively integrate content andseeking specialization in either network engineering technology and suggest the course delivery method toprogram or information security program are required to change from a traditional lecture format to a studio formattake a two course sequence, first in fundamentals of that consists of a lecture followed by a collaborative andnetworking and communications and the second on the cooperative learning experience. For instance, a 3 credit
TDM & FDM Overlays on Bluetooth Abdelshakour Abuzneid , Sarosh Patel Viqar U.Mohammed , Varun Kumar Godula Department of Computer Science & Engineering University of Bridgeport {abuzneid, saroshp,vmohamme,vgodula}@bridgeport.eduAbstract- This work aims at providing a proof of concept for multiplexing in Bluetooth by using traditional(TDM and FDM) multiplexing overlays upon frequency hopping spread spectrum (Bluetooth Modulation) bymeans of a functional simulation. This overlaid multiplexing technique can simplify the point to multi
Session 3675 My Experience On An International Sabbatical David A. Sabatini School of Civil Engineering and Environmental Science University of Oklahoma, Norman, OK 73019AbstractShortly after receiving tenure many faculty are eligible for a sabbatical leave at their homeuniversity, at another US university or research facility, or at an international location.Typical sabbatical policies allow for one semester of leave with full pay or two semesters ofleave with half pay. Taking a sabbatical leave away from the home university raises anumber of questions. How will the
students and faculty. In May 2009, we provided a study abroad program atHochschule Darmstadt, University of Applied Sciences in Germany. The program was entitledTechnology, Innovation and Energy in Germany and Europe. It was attended by ten students from theColleges of Technology and Engineering and an alumni of the university. The leader of the group was a Page 15.794.3full professor of the CoT and I attended as a backup to my department head who was not able to attend.Another department head of the CoT also attended part of the program. The program consisted ofvarious seminars by faculty of the Hochschule Darmstadt, university facility
Paper ID #37271Metacognitive Strategies for Homework Grading: ImprovingLearning while Saving Time and Decreasing CheatingEdward F. Gehringer (Professor) Ed Gehringer is a professor in the Computer Science department at North Carolina State University, and an affiliated faculty member of the Electrical and Computer Engineering Department. He received his Ph.D. from Purdue University. His research areas are advanced learning technologies and software engineering. His teaching areas are software engineering and computer architecture. © American Society for Engineering Education, 2022
Environmental Engineering, 1947 N. 12th Street,Philadelphia, PA 19122ABSTRACT It is a known fact that most engineering problems are complex and challenging, therebyrequiring the collective skills, experiences, and knowledge of several engineers to tackle them. Asa result, many potential engineering employers consider the ability to work in teams an essentialand sought-after skill when hiring new talents. In cognizance of the afore-stated fact, theAccreditation Board of Engineering and Technology emphasizes, as one of its criteria, thepreparation of students to function in high performing teams upon completion of their studies.Consequently, this survey study seeks to explore the effectiveness of teamwork and team-basedlearning as perceived by
. McDonough, M. Smith, H. Jordt and M. Wenderoth, "Active learning increases student performance in science, engineering, and mathematics," Proceedings of the National Academy of Sciences, vol. 111, no. 23, pp. 8410-8415, 2015.[2] National Research Council, Expanding Underrepresented Minority Participation: America’s Science and Technology Talent at the Crossroads, Washington, D.C.: National Academies Press, 2011.[3] E. Davishahl, T. Haskell and L. Singleton, "Engaging STEM Learners with Hands-on Models to Build Representational Competence," in 127th ASEE Annual Conference and Exposition, Virtual Online, 2020.[4] E. Davishahl, R. Pearce, T. R. Haskell and K. J. Clarks, "Statics Modeling Kit: Hands-On Learning in the
., “Constructivism: The Learning Theory That Supports Competency Development ofEngineers For Engineering Practice and Technology Leadership Through Graduate Education”, Proceedings of theASEE Annual Conference, Portland, OR, 2005.[9] F. N. Dempster, “Spacing Effects and Their Implications for Theory and Practice”, Educational PsychologyReview, Vol. 1, No. 4, pp. 309-330, 1989.[10] D. Rohrer, “The Effects of Spacing and Mixing Practice Problems”, Journal for Research in MathematicsEducation, Vol. 40, No. 1, pp. 4-17, 2009.[11] S. K. Carpenter et al., “Using Spacing to Enhance Diverse Forms of Learning: Review of Recent Research andImplications for Instruction”, Educational Psychology Review, Vol. 24, No. 3, pp. 369-378, 2012.[12] R. M. Felder and L. K
Paper ID #30713The role of prototyping in design and policy making: Visual stimuli,selective attention and decision makingHadi Ali, Arizona State University, Polytechnic campus Hadi Ali is a doctoral student in Engineering Education Systems and Design at Arizona State University. American c Society for Engineering Education, 2020The role of prototyping in design and policy making: Visual stimuli, selective attention and decision making 1. OverviewThis is a theory paper. In this study, we integrate research on visual stimuli
Paper ID #17868What’s So Funny About STEM: Examining the Implementation of Humor inthe ClassroomMs. Carrie E Sekeres, Embry-Riddle Aeronautical Univ., Daytona Beach Carrie Sekeres graduated with a B.S. in Aerospace Engineering, with a concentration in Astronautics, from Embry-Riddle Aeronautical University, where she also works as a research assistant in the Engi- neering Fundamentals Department. Ms. Sekeres interned in the Integration Engineering branch of the Launch Services Program Directorate, working to develop and implement a working online collaboration space for several of the branches at Kennedy Space Center. Ms
is interested in the processes of instrument development and validation.Prof. Jill K. Nelson, George Mason University Jill Nelson is an associate professor in the Department of Electrical and Computer Engineering at George Mason University. She earned a BS in Electrical Engineering and a BA in Economics from Rice Uni- versity in 1998. She attended the University of Illinois at Urbana-Champaign for graduate study, earning an MS and PhD in Electrical Engineering in 2001 and 2005, respectively. Dr. Nelson’s research focus is in statistical signal processing, specifically detection and estimation for applications in target tracking and physical layer communications. Her work on target detection and tracking is funded