1996.ASEE website http://www.asee.org/precollege/html/questions_.htmBaumgartner, Eric, and Reiser, Brian J. “Inquiry Through Design: Situating and supporting inquiry through designprojects in high school science classrooms.” Presented at the 1997 conference for the National Association forResearch in Science Teaching, Oak Brook, Illinois.Cummins, Jim and Sayer, Dennis. Brave New Schools. Challenging CulturalIlliteracy Through Global Learning Networks. 1995.Dewey, John. Experience and Education. 1938.Gille. Engineers of the Renaissance. 1966.Harel, Idit and Papert, Seymour. Software Design as a Learning Environment. inConstructionism in Practice. 1996.Martin, Fred. Kids Learning Engineering Science Using LEGO and the ProgrammableBrick. 1996
workshop,” in ASEE Conference and Exhibition, 2024, under review.[18] Mentimeter, “Interactive presentation software-Mentimeter.” https://www.mentimeter.com/, 2024. [Online; accessed 1-January-2024].[19] S. M. Lord, B. Przestrzelski, and E. Reddy, “Teaching social responsibility in a circuits course,” in 2019 ASEE Annual Conference & Exposition, no. 10.18260/1-2–33354, (Tampa, Florida), ASEE Conferences, June 2019. https://peer.asee.org/33354.[20] H. Greene, “An effective academic construct for international humanitarian projects in engineering education,” in ASEE North-Central Section Conference, 2013.[21] R. Bandyopadhyay, “Volunteer tourism and “the white man’s burden”: globalization of suffering, white savior complex
problem-solving. Generating such a script requires anintrinsic and robust understanding of the subject material. Such understanding must becomprehensive of unique cases, and able to discern critical failure points. However, creatingsuch code that is comprehensive of all possible geometries and design criteria would be nearlyimpossible to complete manually. This is where the use of AI Large Language Model (LLM)software can benefit the informed user.A. AI in Engineering EducationSeveral studies have explored integrating Artificial Intelligence (AI) with engineering education,as well as its application in machine design. AI in engineering education can be categorized intoDeep Generative Models (DGMs) and AI-driven Gamification:Deep Generative Models
Session 2520 Computer and Network Technology Education at Maximum Value and Minimum Cost D Veal, S P Maj Department of Computer Science Edith Cowan University Western Australia.AbstractRapid advances in technology place considerable demands on computer and networkcurriculum. A market analysis clearly demonstrated that the standard approach to teachingcomputer and network technology failed to meet the expectations of both students andemployers. A subsequent, preliminary international market
engineeringcurriculum. Both instruments were designed and built by engineers at SERC.A portable fuel cell test station for use in engineering laboratory courses. The educational fuelcell test station designed and built for this project synthesized design aspects of previous full-featured fuel cell test stations that SERC has designed, built, and installed for fuel cell research atthree academic institutions (University of Michigan, Kettering University and AuburnUniversity). A more basic version of the control and data acquisition capabilities of our full-scale test stations is combined with increased portability and schematic simplicity. Control anddata acquisition software for operating the test station has been developed as well. The teststation is
, vid-relocating to their new assignments eo/graphics, various software packages, cyber protections; web site access membership and fees (e.g. to access E-library documents), etc.Little or no loan debt upon completion of train- Difficult to compete for jobs with collegeing (average college graduate’s debt was graduates, especially those taking jobs not re-$27,000 in 2011, up about 50% since 2001) quiring a degreeGreater potential for building career based on Relies on online education evolving in wayshigh-capability skills society demands that can outstrip benefits of college educationOne of the
Paper ID #42978Leveraging Ontologies in Engineering Education: Top-Down and Bottom-UpApproachesWaterloo Tsutsui, Purdue University Dr. Waterloo Tsutsui is a Senior Research Associate in the School of Aeronautics and Astronautics at Purdue University, IN. Tsutsui received his Ph.D. in Aeronautics and Astronautics from Purdue University in 2017. Before Purdue, Tsutsui practiced engineering in the automotive industry for more than ten years, with the last position involving the research and development of lithium-ion battery cells for electric vehicles. Tsutsui’s research interests are systems engineering, structures and
singlecore processors to multicore and many-core processors properly. Training students in thistechnology is critical to the future of exploiting new computer systems [5]. Today, with all theProceedings of the 2013 Midwest Section Conference of the American Society for Engineering Educationadvances in hardware technology, we as educators find ourselves with multicore computers asservers, desktops, personal computers, and even handheld devices in our laboratories (Labs)while still teaching undergraduate students how to design system software, algorithms andprogramming languages for sequential environment [6]. The current practice is to introduceparallel programming at graduate-level (only at some high-ranked universities), starting withparallel
Paper ID #48604BOARD # 476: Modern Tools for Engineering Education Based on VirtualLaboratoriesDr. Danielle Sami Nasrallah PhD. eng., OPAL-RT Technologies Danielle Sami Nasrallah received her Bachelor’s degree in electromechanical engineering and the Diplˆome ´ d’Etudes ´ Approfondies in electrical engineering from the Ecole sup´erieure d’ing´enieurs de Beyrouth (´ESIB), Beirut, Lebanon, in 2000 and 2002, respectively, and Ph. D. degree in Robotics from McGill University, Montreal, QC, Canada, in 2007. During her Ph.D. studies, she worked on a part
Paper ID #39726Automated Analytic Dataset Generation and Assessment for EngineeringAnalytics EducationDr. Bruce Wilcox, University of Southern California Dr. Wilcox is a senior analytics consultant with over 30 years years experience with top-tier consulting firms providing management and information systems consulting services to large corporate and govern- ment clients. From 2013 until 2021, he was employed full-time by the SAS Institute, a premier provider of advanced analytics software and consulting services, responsible for consulting with major SAS gov- ernment clients in California on the use of advanced analytics
effects of maximum materialcondition or least material condition in GD&T; Fuehne [7] simulated industrial environmentwhen maintaining the metrology laboratory at 20 ± 0.5 °C and < 50% humidity. The instructorrequested students to build solid models using a CAD software, 3D-print the parts, and thencomplete with GD&T measurement before writing an inspection report. Hewerdine et al. [8]combined a visual method and hands-on activities to teach GD&T. By printing a defectivecomponent for inspection in different ways, the effect of datum selections can be seen whenmapping measured data points on to the model. Although 3D-printed components had been usedby many educators to teach GD&T concepts, the applying of GD&T to parts
for actual field trips.Additionally, the initial field trip experiences of the pupils demonstrate how happy they are withwhat these excursions offer.References[1] K. Pimentel and K. Teixeira, "Virtual reality: through the new looking glass," Windcrest/McGraw-Hill/TAB Books, Blue Ridge Summit, PA, 1993. ISBN: 0-8306-4065- 7.[2] M.L. Heilig, “Sensorama simulator,” USA Patent 3050870, 28 August 1962. http://www.freepatentsonline.com/3050870.html,[3] L. Freina and M. Ott, "A literature review on immersive virtual reality in education: state of the art and perspectives," paper presented at the International Scientific Conference on eLearning and Software for Education (eLSE), Bucharest, Romania, 2015.[4] A
registered engineer in the state ofLouisiana.TERRENCE L. CHAMBERSDr. Chambers currently serves as an Assistant Professor of Mechanical Engineering at the University of Louisiana atLafayette. His research interests include engineering design and optimization, artificial intelligence, geneticalgorithms and genetic programming, engineering software development, and numeric and symbolic solutions toengineering problems. Dr. Chambers is a registered Professional Engineer in Louisiana. Proceedings of the 2003 ASEE Gulf-Southwest Annual Conference The University of Texas at Arlington Copyright 2003, American Society for Engineering Education Constituent
AC 2009-439: TIME-KEEPING EXPERIMENTS FOR A MECHANICALENGINEERING EDUCATION LABORATORY SEQUENCEJohn Wagner, Clemson UniversityKatie Knaub, National Association of Watch and Clock Collectors Page 14.1271.1© American Society for Engineering Education, 2009 Time Keeping Experiments for a Mechanical Engineering Education Laboratory SequenceAbstractThe evolution of science and technology throughout history parallels the development of timekeeping devices which assist mankind in measuring and coordinating their daily schedules. Theearliest clocks used the natural behavior of the sun, sand, and water to approximate fixed timeintervals. In the
AC 2009-405: ENGINEERING EDUCATION: ORAL AND VISUALCOMMUNICATION USING ENHANCED CALIBRATED PEER REVIEWArlene Russell, University of California, Los Angeles Arlene Russell is a Senior Lecturer at UCLA in both the Department of Chemistry and Biochemistry and in the Department of Education. She was a co-PI on the Molecular Science Project under which the Calibrated Peer ReviewTM (CPR) program was developed. Her work in science education has been recognized by awards from the New York Film and Television Association for excellence in science videotape production; the Smithsonian Institution for her educational innovation using technology, the Chemistry Manufacturing Association for her
of the first-year experience at the high school. None ofthe educators or administrators surveyed had previously experienced this type of curriculumchange before.The interviews and group discussions were recorded and transcribed. The transcripts wereexamined by both reading through the transcripts and utilizing software to develop basic wordclouds of frequently used words, to highlight the aggregate of the individual discussions as wellas the group discussions. The analysis of the transcripts is intended to showcase what areaseducators and administrators like and dislike about the implementation of this new way ofteaching. The results of which will show what areas may be kept and which areas may need to bedeveloped further.LimitationsThere
Paper ID #22860Assessing the Active Learning in Engineering Education Based on BOPPPSModelProf. Fu zhongli, National University of Defense Technology Zhongli-FU, is Associate Professor of Center for National Security and Strategic Studies(CNSSS)at Na- tional University of Defense Technology (NUDT),China. His research focuses on engineering education, including adult education and distance learning practice. He has conducted research on engineering ed- ucation as a visiting scholar in Hong Kong University of Science and Technology in 2013. He is the member of the International Association for Continuing Engineering
AC 2007-1103: ENHANCING MINORITY ENGINEERING EDUCATION ATAAMU THROUGH DOE SPONSORED PROJECTCathy Qian, Alabama A&M University Dr. Cathy Qian is an Associate Professor of the Department of Mechanical Engineering at Alabama A&M University in Huntsville, AL. Dr. Qian earned her Ph.D. and M.S. in Mechanical Engineering from the University of Tennessee. Dr. Qian is the principal investigator of the high performance computing research and education project at AAMU.Zhengtao Deng, Alabama A&M University Dr. Z.T. Deng is an Associate Professor of the Department of Mechanical Engineering at Alabama A&M University in Huntsville, AL. Dr. Deng has an extensive background and research
AC 2007-1073: A JITTER EDUCATION: AN ASSESSMENT OF THE FRESHMANJITTER INTROGene Harding, Purdue University GENE L. HARDING is an assistant professor of Electrical and Computer Engineering Technology at Purdue University. He worked with logic analyzers and oscilloscopes for three years at Agilent Technologies, and has over 21 years of experience with the U.S. Air Force doing technical research, electronic warfare, wide- and metropolitan-area computer network management, technical intelligence analysis, and missile warning system software support. He holds MSEE and BSEE degrees from Rose-Hulman Institute of Technology
2006-1901: TEACHING VLSI DESIGN AT THE KOREA UNIVERSITY OFTECHNOLOGY & EDUCATIONAshok Goel, Michigan Technological University Ashok Goel received his Ph.D. degree in Electrical Engineering from The Johns Hopkins University in 1987. Currently, he is an Associate Professor of Electrical Engineering at the Michigan Technological University. He is the author of a book “High-Speed VLSI Interconnections” published by Wiley Interscience in 1994. His research interests include nanotechnology circuit design and GaAs-based integrated circuits. He is a senior member of the IEEE.Hyun-Chan Cho, Korea University of Technology and Education Huyn-Chan Cho received his Ph.D. degree in Electronics
Session 2549 Industry and ET Education Collaborations From A Construction Engineering Perspective Wafeek Samuel Wahby, Ph.D., B.Th. Professor, Industrial Technology Program Coordinator Eastern Illinois University, Charleston, IllinoisAbstractThe preparation of ET graduates who can make a smooth transition from their academic traininginto the work force with confidence and maximum productivity in areas of education, research,and business can be achieved through well defined, carefully designed, and appropriatelyimplemented academia
Session Number Using an Assessment Test to Identify Important Aspects of Education Paul M. Santi, Ryan J. Kowalski Department of Geology and Geological Engineering, Colorado School of Mines, Golden, CO 80401Introduction Quite often, in addition to teaching technical skills, we must teach some abstract andintangible skills. In the field of geological engineering, one of these skills is the ability to usegeologic information to design optimal subsurface investigations of sites for foundations,chemical contamination, or geologic hazards. In order to teach this skill, a computer
Charlotte currentlyoffers all upper level fire classes via their FSET distance education program, in addition to theirtraditional classroom offerings. The UNC Charlotte FSET distance education program effectively accommodates theeducational needs, scheduling difficulties and geographic constraints of firefighters seekingcareer advancement. The distance education classes are designed to be one third synchronous(live) and two thirds asynchronous (non-live), and 100% web-based. The live component isachieved via Centra live conferencing software, and the asynchronous component is offered viathe WebCT course management system. To date, this combination has achieved positive resultsaccording to student feedback and evaluations. The FSET
Session 2475 The Educational Administrators Impacts on the Tenure and Promotion Process Ali Kashef, Mark Rajai University of Northern Iowa/The University of MemphisAbstractOne of the major responsibilities of a departmental head is to evaluate faculty that at times can bedifficult and controversial. Therefore, it is very important for a department head to demonstratehow they can recruit a new faculty member and grant them tenure and promotion.The intent of this paper is to discuss some of the important issues associated with the educationalleadership
Session 1655 Project-oriented MS Degree in Engineering Technology Emphasizes Educational Depth Ralph A. Carestia, Douglas W. Lynn and J. Robert Burger Graduate Faculty, Computer Systems Engineering Technology Department, Oregon Institute of Technology, Klamath Falls, OR 97601AbstractEngineering technology at Oregon Institute of Technology (OIT) today maintains a hands-on,practical mode that not so long ago characterized much of engineering education. Since 1967,the Technology Accreditation Commission of the ABET has accredited many colleges who nowgrant thousands of baccalaureate
nonlinear load effects, and (3) showing power quality issuesrelated to the switching effects of a very large load on the system. Also presented is a simulation Page 6.40.1result based on an extensive detailed model of the system as analyzed on a commercial power Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition Copyright © 2001, American Society for Engineering Educationquality software package called PSCAD/EMTDC. Although the testbed has a small-scaled powercapacity, it vividly demonstrates many of the complex interactions found in integrated power systemsand has
AC 2012-5150: CREATING A WATER AND WASTEWATER EDUCATIONALPROGRAM WITH INCORPORATED EXPERIENTIAL TRAININGMr. Joseph Lee Gutenson, Western Kentucky University Joseph Gutenson is an Environmental Support Specialist with the Center for Water Resource Studies at Western Kentucky University. During his brief professional career he has participated in the construction of TMDL reports for the Panther Creek and Long Falls Creek Watersheds and site reconnaissance for the Bacon Creek TMDL. He has also participated in research related to the water industries workforce and serves as a presence for the Water Training Institute’s recruitment efforts. His present work includes aiding in the creation of a software packaged, created
. Strengthen students’ ability to apply general principles to solve multi-step problems by immersing them in the process of analytical reading, synthetic thinking, and heuristic problem-solving through authentic and engaging play in the virtual reality gamesThe group of games in Digital Adventure is designed to connect engineering discovery withstudents’ daily life experience where abstract digital design fundamentals are transformed tolively concepts that students can feel. In addition, students are exposed to object-orientedHardware Description Language (HDL). The game system is then capable of retrieving students’HDL design solutions and invoking ModelSim simulation software for validation. Here, weexemplify this educational process in one
Session 2480 Transfer of Knowledge and Skills Assessments in Engineering and Technological Education Saleh M. Sbenaty Middle Tennessee State UniversityI. IntroductionIn today’s fast changing world, companies spend large amounts of money on staff training anddevelopment. To reduce costs and training time, employers are increasingly interested inimproving the way employees apply their acquired knowledge and skills to new settings orsituations. This is defined as the Transfer of Knowledge and Skills. The current paper describesan assessment method that
manufacturing education issues, the software, data structures, tools andoperational guidelines for operation of the system will be designed in a content-neutral manner.By changing appropriate configuration parameters, other disciplines and groups will be able todeploy an instance of the Electronic Forum and Workshop Framework to support their unique Page 3.79.21 Technology Reinvestment Program/ Manufacturing Engineering Trainingnetwork-mediated dialogue and seminars and create specialized databases and rich subject-specific resources for sharing and exchanging within their community of interest.3 Objectives of the Forum and WorkshopOrganizing and