Technology Officer, at UT Brownsville, he implemented state of the art networking using campus wide fiber ring with redundant links. He established diskless computer labs to provide uniform computing platform across campus, and modernized classrooms to make them congenial to online learning. He was the PI on NSF funded BCEIL (Beowulf-based Curriculum Enrichment Integrated Laboratory) and Co-PI on NSF funded MCALL (Multimedia based Computer Assisted Learning Lab).Dr. Hansheng Lei c American Society for Engineering Education, 2019 A Holistic Approach for Enhancing Distributed Education with Multi-Campus Course Delivery MethodsAbstractTo create an emerging teaching and
AC 2007-1176: THE EFFECTS OF PRIOR COMPUTER EXPERIENCES INCONSIDERING ENGINEERING STUDENTS' ABILITY TO SOLVE OPEN-ENDEDPROBLEMSChristian Hipp, University of South CarolinaVeronica Addison, University of South Carolina Page 12.1417.1© American Society for Engineering Education, 2007 The effects of prior computer experiences in considering engineering students’ ability to solve open-ended problems ABSTRACTThis paper relates one part of a National Science Foundation (NSF) funded, exploratory researchproject in the Course, Curriculum, and Laboratory Improvement Program (CCLI). The researchproject’s objective is to
, http://www.xilinx.com/bvdocs/appnotes/xapp467.pdf8. Alan V. Oppenheim and Ronald W. Schafer, Digital Signal Processing, copyright 1975 by Alan V. Oppenheim Page 12.574.13 and Bell Telephone Laboratories, Inc., published by Prentice-Hall, Inc.9. Vinay K Ingle and John G. Proakis, Digital Signal Processing using Matlab, copyright 2000 by Brooks/Cole Publishing Company.
. Thomas Marty Johnston received his Ph.D. in Physics from the University of California, Riverside working in atomic physics. After serving as a Post-Doctorial Researcher at the University of Nebraska he came to the University of St. Thomas in 1995 to initiate an undergraduate research program in physics. When he is not in the laboratory, Marty can be found teaching classical physics, electricity and magnetism, theoretical mechanics or experimental methods.Christopher Greene, University of St. Thomas Chris Greene received his Ph.D. in Electrical Engineering from the Massachusetts Institute of Technology (MIT) and proceeded to a 25 year career in industry. At Honeywell, he did research on
disciplines.Introduction:Engineering students are typically hands-on visually oriented learners. The extraordinary valueof providing a visual component to teaching and learning is well documented. Many topics inengineering curricula rely on visual components to help convey concepts that are difficult todescribe in purely text-based form. Adding animation to visual components only serves toenhance the learning experience even further. Bringing animation to raw data plotted in acolorful three-dimensional graph brings life to otherwise static numerical information.Simulation and animation can be utilized by an instructor to illustrate concepts in a classroomsetting or by students to solve problems in a laboratory setting.The use of animation provides a method to model and
of using a full-fledged VSA and VSG were recently demonstrated by Welch, etal.3 who discussed its use in a laboratory-based course on special communication topics. Thiswas a very rewarding experience that indicated such wide-band instruments could be valuableteaching tools in a variety of communication courses.2 Description of the HardwareNI’s PXI system provides a tremendous amount of capability for use in the classroom or studentlaboratory environment. The PXI is a configurable backplane chassis that can be adapted to awide range of applications. In our case, the system includes a PC-compatible controller runningWindows XP professional, an NI 5421 arbitrary waveform generator (AWG), an NI 5610 RFupconverter, an NI 5600 RF downconverter
2006-2238: A COMPARISON OF ON-LINE AND TRADITIONAL TESTINGMETHODSSteve York, Virginia Tech Dr. Steven C York is an assistant professor in the department of Engineering Education at Virginia Tech. He received his BS degree in chemistry from Radford University in 1984 and his PhD in chemical engineering from Virginia Tech in 1999. Dr York has taught courses in engineering problem solving and design, chemical engineering and chemistry. Dr York has also designed and implemented a number of design-build projects and engineering laboratory experiences for first-year engineering students at VA Tech. Dr York is a member of ASEE and the American Chemical Society. Address: Engineering
., Chawla, K.K., Saha, R., Patterson, B.R., Fuller, E.R., and Langer, S.A. (2003). Microstructure-based simulation of thermomechanical behavior of composite materials by object-oriented finite element analysis. Materials Characterization 49 p. 395–4075. Guyer, J. E., Wheeler, D. and Warren, J. A. (2009) FiPy: Partial Differential Equations with Python. Computing in Science & Eng. 11(3) p. 6-15.6. Bartol, A., McLennan, M. and García, R. E. (2009), The Virtual of Kinetics of Materials Laboratory. DOI: 10254/nanohub-r7342.4.7. García, R.E. (2007). OOF2. DOI: 10254/nanohub-r3363.4.8. Wiggins, G., and J. McTighe. 1997. Understanding by Design: Alexandria, VA: Association for Supervision and Curriculum Development
, Xi’an, China, in 1993, the M.S. degree in electrical engineering from Beijing Polytechnic University, Beijing, China, in 1999, and the Ph.D. degree in computer engineering from Mississippi State University, Starkville, MS, in 2003. From 1993 to 1996, he was an Engineer with the 41st Electrical Research Institute, Bengbu, China. From 2000 to 2003, he was a research assistant with the Visualization, Analysis, and Imaging Laboratory (VAIL), the GeoResources Institute (GRI), Mississippi State. He is currently an Assistant Professor with the Department of Engineering Technology, Prairie View A&M University, Prairie View, TX. His research interests include image and signal processing, and
Engineering Sciences, an undergraduate bachelor of science degree program in the MSU College of Engineering. He also is an Associate Professor in the Department of Computer Science and Engineering. Dr. Sticklen has lead a laboratory in knowledge-based systems focused on task specific approaches to problem solving. Over the last decade, Dr. Sticklen has pursued engineering education research focused on early engineering; his current research is supported by NSF/DUE and NSF/CISE. Page 15.864.1© American Society for Engineering Education, 2010 Measuring the Effect of Intervening
the ASCENT Security Teaching Lab,” Proceedings of the 13th Colloquium for Information Systems Security Education, pp.124-132, Seattle, WA, June, 2009.2. W. Du, K. Jayaraman1, and N.B. Gaubatz, “Enhancing Security Education with Hands-On Laboratory Exercises,” 5th Annual Symposium on Information Assurance (ASIA ’10), pp.56-61, Albany, NY, June 2010.3. L. Tao, L.C. Chen, and C. Lin, “Virtual Open-Source Labs for Web Security Education,” Proceedings of the World Congress on Engineering and Computer Science (WCECS 2010), Vol. I, San Francisco, CA, October, 2010.4. R. M. Cassado, The Virtual Network System. Special Interest Group on Computer Science Education, New York, 2005.5. VMware, “How Does Fencing Work, VMware
attractive while still retaining the underlying contents2. Improve the delivery of laboratories and lectures, make abstract and non-intuitive programming concepts “visible”, “touchable”, and thereby, easy to understand3. Increase students’ passing rate in programming courses4. Foster students’ interest and promote active learning inside and outside class meetings.To achieve the goal and objectives, we designed and developed a learning module managementsystem to manage the learning modules and schedule teaching and training activities. The projectconsists of state-of-the-art technologies that simplify the process of complicated conceptsdelivery and facilitate teaching innovation.Flash Animations and Learning ModulesWe adopted Adobe Flash
, June 1997. Paper 1220-06. [3] J. H. McClellan, C. S. Burrus, A. V. Oppenheim, T. W. Parks, R. W. Schafer, and S. W. Schuessler, Computer-Based Exercises for Signal Processing Using M ATLAB 5. M ATLAB Curriculum Series, Prentice Hall, 1998. [4] G. W. P. York, C. H. G. Wright, M. G. Morrow, and T. B. Welch, “Teaching real-time sonar with the C6711 DSK and MATLAB,” ASEE Comput. Educ. J., pp. 79–87, July–September 2002. Page 25.1098.8 [5] T. B. Welch, C. H. G. Wright, and M. G. Morrow, “Experiences in offering a DSP-based communi- cation laboratory,” in Proceedings of the 11th IEEE Digital Signal Processing Workshop and the 3rd
project has been developed in several stages (see below). A first trialversion of the mobile game was brought out and evaluated by 22 users. A second trial versionwas then released based on the correction of detected bugs and suggestions made on the firstversion.STAGE 1: Establishing project targets, getting lab ready and choosing tasks that users shouldperform.STAGE 2: Users' evaluation: performed by users on laboratory, collecting data throughquestionnaires.STAGE 3: Collect data: Summarizing bugs found and proposing solutions.STAGE 4: Application improvement: Programming and implementing suggestedenhancements.STAGE 5: Application final version.The user was asked to complete the four training tasks available on the device and twocompetitions: 10
script their own objects. The 3-Dobject creation tools and the in-built Linden Scripting Language (LSL) available, allow for astrong creative aspect to be included in course material where students can work together tocreate and script objects4.This paper will look at one way Second Life has been used to create a virtual learningenvironment. The environment created is a replica of a real-life television studio used by on-campus students. It is hoped that this virtual studio can aid in bridging some of the gap local andoff-campus students have in their laboratory experiences.BackgroundMultimedia Engineering courses are offered at RMIT University's Melbourne city campus aswell as their international campus in Vietnam.The Multimedia Engineering
Using Inexpensive Hardware and Software Tools to Teach Software Defined Radio Abstract Signal processing topics such as software defined radio are more easily taught by using demonstra- tions and laboratory experiences that pique the students’ interest. This paper describes a new, inexpensive software defined radio educational platform based upon M ATLAB and the Texas Instruments C6713 dig- ital signal processing starter kit. We describe the various hardware and software issues and discuss how such a platform can be used in the classroom.1 INTRODUCTIONSoftware defined radio (SDR) is a topic that is becoming
/Thermodynamics_Software/Suppliers/pid5061.htm2 Bhattacharjee, S., http://thermo.sdsu.edu/testcenter/3 Patrick Tebbe, Patrick, et.al, “Development of Software Applications forthermodynamics Related Courses: The THERMOVIEW Project”, ASEE AnnualCongress and Exposition, 20014 Friedman, Ella, “Interactive Learning Tools For Undergraduate Thermodynamics”,ASEE Annual Conference, 20045 Kumpaty, Subha, “Learning Enhancement in Thermodynamics Classroom via use ofTEST™ Software in Design Projects and Laboratory”, ASEE Annual Conference, 20026 Gramoll, Kurt, et. al., “Online Interactive Multimedia For EngineeringThermodynamics”, ASEE Annual Conference, 20047 Stanley, Richard, “Interactive Web Based Animation Software: An Efficient Way toIncrease the Engineering
Engineering Education, 34(1), 26-39. 5. Stern, F., Xing, T., Muste, M., Yarbrough, D., Rothmayer, A., Rajagopalan, G., Caughey, D., Bhaskaran, R., Smith, S., and Hutchings, B. (2006). "Integration of simulation technology into undergraduate engineering courses and laboratories." International Journal of Learning Technology, 2(1), 28-48. 6. Busch-Vishniac, I., Kibler, T., Campbell, P. B., Patterson, E., Guillaume, D., Jarosz, J., Chassapis, C., Emery, A., Ellis, G., Whitworth, H., Metz, S., Brainard, S., and Ray, P. (2011). "Deconstructing Engineering Education Programmes: The DEEP Project to reform the mechanical engineering curriculum." European Journal of Engineering Education, 36(3), 269-283. 7. Cheah, C., Chen
Engineering Educator Award from IEEE.Dr. Tian Tian, University of Central Florida Tian Tian is an Associate Lecturer of Mechanical and Aerospace Engineering at the UCF, which she joined in 2013. She has been frequently teaching undergraduate lecture and laboratory components of Heat Transfer, Thermodynamics and Fluid Mechanics. Her educational research interests focus on project- based learning, online learning, and the digitization of STEM assessments. She received the Teaching Incentive Award, Excellence in Undergraduate Teaching Award, the Dean’s Advisory Board Faculty Fel- low Award, Professor of the Year Award and Advisor of the Year Award.Ms. Shadi Sheikhfaal, University of Central Florida Shadi Sheikhfaal received
Paper ID #8702Strategies for using on-line practice problemsDr. Jess W. Everett, Rowan University Jess W. Everett has worked in four distinct areas: waste management operations research, contaminated site assessment and remediation, education innovation, and sustainable engineering. He has employed a wide variety of techniques, including computer modeling, laboratory experiments, field testing, and surveys. His current research focuses on energy conservation, alternative energy generation, engineering learning communities, and hybrid courses (courses with classroom and on-line aspects).Ms. Kaitlin Engle Mallouk, Rowan
systems.acknowledgementThis work has been funded by the Global Laboratory for Energy Asset Management andManufacturing (GLEAMM) and Texas Instruments.references[1] A. Ramsetty and C. Adams, "Impact of the digital divide in the age of COVID-19," Journal of the American Medical Informatics Association, vol. 27, no. 7, pp. 1147-1148, 2020.[2] H. Greenhalgh-Spencer and M. Jerbi, "Technography and design–actuality gap-analysis of internet computer technologies-assisted education: Western expectations and global education," Policy Futures in Education, vol. 15, no. 3, pp. 275-294, 2017.[3] A. Banerjee, P. Glewwe, S. Powers, and M. Wasserman, Expanding access and increasing student learning in post-primary education in
has over 30 years of combined academic and industrial management experience. He received his BSME and MSME degrees from Michigan Technological University.Dr. S. Patrick Walton, Michigan State University S. Patrick Walton received his B.ChE. from Georgia Tech, where he began his biomedical research career in the Cardiovascular Fluid Dynamics Laboratory. He then attended MIT where he earned his M.S. and Sc.D. while working jointly with researchers at the Shriners Burns Hospital and Massachusetts General Hospital. While at MIT, he was awarded a Shell Foundation Fellowship and was an NIH biotechnology Predoctoral Trainee. Upon completion of his doctoral studies, he joined the Stanford University Genome Technology
Human Behavior, 29, 1833-1840. doi:10.1016/j.chb.2013.03.0013. VanLehn, K., Lynch, C., Schulze, K., Shapiro, J. A., Shelby, R., Taylor, L., Tracy, D., Weinstein, A., & Wintersgill, M. (2005). The Andes Physics Tutoring System: Lessons Learned. International Journal of Artificial Intelligence in Education, 15, 147-204.4. Shute, V. J., & Psotka. J. (1996). Intelligent tutoring systems: Past, present, and future. In D. Jonassen (Ed.), Handbook of Research for Educational Communications and Technology (pp. 570-600). New York, NY: Macmillan.5. Sottilare, R., Graesser, A., Hu, X., & Holden, H. (Eds.) (2013). Design Recommendations for Intelligent Tutoring Systems. Orlando, FL: U.S. Army Research Laboratory.6
laboratory space.In closing we emphasize specific characteristics of beliefs and their development in robotics-based education. It is possible to extend Bandura’s self-efficacy concept to development of newbelief constructs: team-member-efficacy and team-efficacy. Teamwork is so pervasive in theengineering world that well educated students must gain confidence with working in teamenvironments; this is what we call team-member-efficacy. Growth of the team’s collectiveefficacy beliefs, gained through successful team mastery projects and by working in anenvironment that offers social models, scaffolding, and stress reduction, will help the team toachieve best performance; this is what we call team-efficacy.Also, we propose extending the scope of the
hands-on-experiences withcollaborative tools like MS OneNote 2007. Finally, data acquisition using databases, computeralgebra systems and virtual laboratories was practiced and visualization and criticalinterpretation of statistical data were discussed.Blended Learning in Higher EducationBlended learning is a model of education, combining traditional didactical methodologies withnew media technologies for the presentation and distribution of knowledge. Therefore, thismethod unites the flexibility and efficiency of the new media with social components such asface-to-face communication, which is an important factor in modern higher education11, 12, 13, 14.Done right, blended learning ensures the quality of the academic curriculum15, 16, 17, 18
AC 2009-1744: DESIGN AND DEVELOPMENT OF THE DATASYNCHRONIZATION CASE STUDYMichael Fuller, Auburn UniversityChetan Sankar, Auburn UniversityP.K. Raju, Auburn University Page 14.409.1© American Society for Engineering Education, 2009Design and Development of the Data Synchronization Case StudyAbstractThe Laboratory for Innovative Technology and Engineering Education (LITEE)at Auburn University has been developing case studies that engage students incross-disciplinary learning and require engineering and business and students ofother disciplines to work together in order to solve a common problem. The DataSynchronization case study is one of the latest case studies from LITEE, whichfocuses
in the project that it benefits the students greatly to literally build their own engineeringproblems, and through solving them to end up with a working system. The data collected doessuggest that the students are confident in what they have learned how to do by the time theyfinish the course. The range of topics that can be motivated by this project is truly impressive; itwould be difficult to imagine a better experiential learning centerpiece that was as easilyimplemented to an entire incoming class of freshmen.Acknowledgement, Disclaimer and Contact Information Partial support for this work was provided by the National Science Foundation’s Course,Curriculum, and Laboratory Improvement (CCLI) program under Award No. 0618288
to other platforms.ConclusionA combination of assembly and C language was used to teach the basics of microprocessorprogramming in the updated Microprocessors course at BSU, using a modern developmentenvironment (a soft processor instantiated on an FPGA with classic RISC architecture).Overlapping the teaching of both languages had a synergistic effect on educating the studentsabout microprocessors. In addition to learning how microprocessors work and control a broadrange of devices, the students learned problem-solving skills and practiced these skills withrealistic laboratory assignments and projects. Materials developed to teach the updatedMicroprocessors course are continuing to be expanded and refined.References[1] B.E. Dunne, A.J
address.In the second step of the group creation process, Facebook allows for customization by theuploading of an image containing a relevant logo or photo; for our alumni group it was decidedto use a photo of a student working in one of our laboratories that captured the lab-intensivenature of our program. Several options are presented as part of this step regarding the features tobe enabled. Given that one wants to encourage alumni to use the group, it was decided to allowall items (showing related groups and events; and enabling the discussion board, Wall, photos,videos, and postings features) to be fully accessible to all group members. As part of this stepone must also specify whether the group is “open”, “closed”, or “secret”; while “secret
, particularly in extended uses of CAS-based instruction into laboratories,via simulation, visualization and modeling tools. Traditionally, educators are using dedicatedsoftware packages to demonstrate the practical theory applications. These are efficient andsuitable to solve a large variety of engineering problems. The students learn programminglanguage and its capabilities to use them for homeworks or projects. There are such computer-based tools available for teaching electrical machines, power system analysis, power electronicsor other engineering topics. However, they are specific and confined to dedicated objectives,often lacking the interactivity, and become obsolete once the operating environment is changed5-8 . When dedicated programs are