Copyright © 2004, American Society for Engineering EducationStarting in 1996, the Sooner City project has been funded by three NSF grants, shown in Table 1,as well as significant support from OU. Table 1: Summary of NSF Support for Sooner City. NSF Award NSF Project Title Amount Start End Number Program DUE- CCD TLC Design: Integrating Team $100,000 3/15/97 2/28/00 9652973 Learning, Computing, and Design in Undergraduate Engineering Education EEC- Action Sooner City - Design Across the
Paper ID #32812A Cocurricular Framework for a Multinational, Vertically IntegratedEngineering Design ProjectDr. Lelanie Smith, University of Pretoria Dr. Lelanie Smith is an Aeronautical engineer in the applied aerodynamic field. Currently she is a senior lecturer in the Department of Mechanical and Aeronautical Engineering at the University of Pretoria. Her research primarily focuses on application of computational fluid dynamic methods for modelling alterna- tive aircraft configurations. In addition to her technical research, Lelanie is also involved in development of sustainable co-curricular models that not only
way to capture interactivity fromstepping through an animation or multi-step example to correctly answering multiple choice ortrue and false questions. However, online homework provides more advanced metrics to capturestudent’s problem-solving skills. Numerous platforms have been in development for years withmath and science courses having more tools and options than engineering courses [1-4].Online homework is synonymous with terms such as auto-graded problems, and these tool havebecome common throughout science, technology, engineering, and mathematics (STEM) [5-9].By providing instantaneous feedback to students, auto-graded problem capture some of the mostimportant tenets of deliberate practice [10-13]. Other learning frameworks also
show remarkable ingenuity and creativity. Indeed, a number of themhave been adopted for use either as exhibit prototypes or as demonstration models by “real”museums and aquaria. Exhibit components have included: a simulated dogsled ride (completewith audio and video); an 8-foot planetarium dome displaying a projection of a simulated aurora;a recreation of a remote tropical-rainforest research station; a walk-through model of a lava tubewith an associated mechanical interactive showing how some volcanic islands form; a steepplayground slide whose curving slope reflects the nearly exponential decline of certain whalespecies; and a series of interactive components illustrating the unique features of animals nativeto the Galapagos Islands (e.g. a
Paper ID #12437Instilling the Entrepreneurial Mindset by International Development ProjectWorkDr. Pritpal Singh, Villanova University Dr. Pritpal Singh is Professor and Chairman of the Electrical and Computer Engineering Department at Villanova University. He received a BSc in Physics from the University of Birmingham, UK in 1978, and Masters and Ph.D. degrees in Applied Sciences/Electrical Engineering from the University of Delaware in 1981 and 1984, respectively. Dr. Singh teaches courses at the undergraduate and graduate levels in the areas of semiconductor microelectronics, renewable energy systems and power electronics
new entrants.Ethical Challenges in Technology AdoptionEthical failures concerns are often raised after technological failures, but they can equally ariseafter technological triumphs. The digital transformation of society builds on a succession oftechnological triumphs by engineers in computing, communications, artificial intelligence etc.,but exposes ethical concerns in areas such as privacy, social equity, exacerbated powerconcentration etc. Rapidly scaling technology adoption can also lead to a period of rapid job lossthrough automation as the economic impact of the technology adoption ripples through thebroader economy. Product design choices can also impact the user throughout the productlifecycle with constraints on the user’s rights to
are also part of the mix within projects, so majors in computer science, mechanicalengineering, communications, and business can collaborate on the same design teams. PDIadopts the inclusive “engineering for all” mentality as with K-12 engineering initiatives, yetinstead of classifying everyone as an engineer, students learn that diverse domains of expertisecan contribute to engineering design problem solving.This type of higher education engineering is a much milder contrast to what students experiencein K-12 engineering initiatives. In fact, many students and families that visit PDI recruitingactivities have remarked: “This is what I thought engineering was like.” Yet, PDI courses are notmeant to displace or supplant the fundamentals-first
Paper ID #28921Supporting Upper Elementary Students’ Engineering Practices in anIntegrated Science and Engineering Unit (Fundamental, Diversity)Miss Sarah Lilly, University of Virginia Sarah Lilly is a PhD student in the Department of Curriculum, Instruction and Special Education at the University of Virginia. She holds a B.S. in Mathematics and English and an M.A.Ed. in Secondary Educa- tion from The College of William and Mary. Her research centers on STEM education, particularly using qualitative methods to understand the integration of math and science concepts with computational mod- eling and engineering design
in Special Education with emphasis in gifted and talented education.Megan Yoder, Colorado School of MinesBarbara M. Moskal, Colorado School of Mines Barbara Moskal received her Ed.D. in Mathematics Education from the University of Pittsburgh. She is a Professor of Mathematical and Computer Sciences, the Interim Director of the Trefny Institute for Educational Innovation, and the Director of the Center for Assessment in STEM at the Colorado School of Mines and an Associate Editor for the Journal of Engineering Education. Her research interests are educational project assessment and evaluation, K-12 Outreach and gender equity in STEM.Michael Hacker, Hofstra University Michael Hacker is Co-director of the Center for
Paper ID #11411Can the Spacing Effect Improve the Effectiveness of a Math InterventionCourse for Engineering Students?Robin J Fain, University of Louisville Robin Fain is a graduate student in the Experimental Psychology PhD program at the University of Louisville. Her main research interests include learning in the classroom and eyewitness memory.Dr. Jeffrey Lloyd Hieb, University of Louisville Jeffrey L. Hieb is an Associate Professor in the Department of Engineering Fundamentals at the Univer- sity of Louisville. Jeff graduated from Furman University in 1992 with degrees in Computer Science and Philosophy
bundle and sawn lumber to demonstrate difference in behavior due to grain direction and under different types of forces, • Kit consisting of manufactured lumber (I-joists and laminated-veneer lumber) and hardware samples (shear wall hold-down and joist hanger) sourced from various suppliers to expose students to commercial products available for timber design, • Laterally braced column model that examines the effects of column section dimensions relative to the unbraced length on buckling load, • Physical and digital diaphragm models that demonstrate the variations of sheathing layouts, per SDPWS Section 4.2.8, and allows students to investigate the appropriate application of layouts under
] Bloom, B.S. (Ed.) (1956) Taxonomy of educational objectives: The classification of educational goals: Handbook I, cognitive domain. New York ; Toronto: Longmans, Green.[2] Horton, W. (2000). Designing Web-Based Training. New York, NY: John Wiley & Sons, Inc.[3] Bonk, C. J., & Reynolds, T. H. (1998). Learner-Centered Web Instruction for Higher-Order Th inking, Teamwork, and Apprenticeship. In B. Khan (Ed.), Web-Based Instruction, 167-178.[4] Filipczak, B. (1996). Engaged! The Nature of Computer Interactivity. Training, 33 (11), 52-58.[5] Schuch-Miller, D. & Plonka, F.E. (2001). Emulating Real-World Engin eering Experiences Using Web- Enabled Case Studies. Proceedings of the 2001 International Conference on Engineering
. From the outset, the DOE [ 3] realized that while the winner of a carrace can be largely determined by who crosses the finish line first, the judgmentof the “best” house design was much less obvious. The DOE settled on a “SolarDecathlon” that measures ten aspects of our current concept of a house: spaceconditioning, lighting, hot water, refrigeration, overall energy balance, design andlivability, design presentation and simulation, graphics and communication, homebusiness, and transportation. The contest is heavily oriented towardsengineering with nine out of the ten events being measured quantitatively andelectricity produced/consumed as a primary measure of energy efficiency. Thetenth contest, architectural design and livability, was
. However, if instruction is too heavily focused on the technical skills of using GIS,then the theory, concepts, or science behind the problems being explored may not be fullyunderstood [5]. In an engineering context, GIS has tremendous potential as a teaching tool toimprove student learning of various civil engineering concepts, whether through simulations,data exploration or manipulation, or example projects from different civil engineeringdisciplines. For instance, flyover animations of a topographic surface in a GIS map can helpstudents connect the two-dimensional representation of elevation data to its three-dimensionalreality, thus improving visualization skills. Working with large spatial datasets such asdocumented vehicular crashes in
of Engineering application of Artificial Intelligence and its current problems in academiaand industry. 1|PageIntroductionLet’s start this article by defining “Artificial Intelligence ” and “Machine Learning ”. “ArtificialIntelligence ” is the simulation of Human Intelligence mimicking “Human Brain” for Analysis,Modeling, and Decision Making. “Machine Learning ” is the science of getting computers to actwithout being explicitly programmed through using Open Computer Algorithms to learn from datainstead of explicit programming.What today is called Artificial Intelligence and Machine Learning started as concepts and ideas in early1950s. The rule
students develop ideas based on opportunities they identify inorder to validate a market and assess the creation of value. The winner is often offered a“contract” to produce the product for university purposes [14] .Some schools integrated EML in their course projects. The authors of the paper “EntrepreneurialMindset and the University Curriculum [15]” applied technology based dynamic live case studywith color graphics animated computer simulation in their entrepreneurial course. The live casestudy involves multiple student visits to existing companies. Students construct a companysupply chain under the professor’s guidance. Bilen, et al suggested to provide students withmultiple exposures to what it means to have an entrepreneurial mindset [16
published a number of papers on computer algorithm animation, game development, and engineering education. He is coauthor of a best-selling introductory computer science and software engineering texts. Dr. Maxim has supervised several hundred industry-based software development projects as part of his work at UM-Dearborn.Dr. Sushil Acharya, Robert Morris University Acharya joined Robert Morris University in Spring 2005 after serving 15 years in the Software Indus- try. His teaching involvement and research interest are in the area of Software Engineering education, Software Verification & Validation, Data Mining, Neural Networks, and Enterprise Resource Planning. He also has interest in Learning Objectives based
traditional, distance, or hybrid manner.Modular Approach For this gateway course, the content is created through modules intended to meet the course objectives while tying the diverse course content together. The modules provided the core content in the form of a self-contained, platform-agnostic audio/video presentation; the core modules are listed below in Table 2. Students will be introduced to various aspects of computer modeling, including solid/surface modeling. Students will be introduced to various aspects of computer simulations, including animation, and multimedia/web applications. Students will be introduced to multi-tier applications including user and machine interface, application software, and database
Paper ID #44136Assessing the Effectiveness of Educational Interventions on Digital Skills forMiddle Schoolers in Underserved Communities. The TechSpark ImmokaleeCase Study on Digital Upskilling in the Construction IndustryDr. Daniel Linares, Florida Gulf Coast University Daniel Linares is Assistant Professor at the Stock Development Department of Construction Management at Florida Gulf Coast University. He holds a Ph.D. in Environmental Design and Planning with an emphasis in Smart Construction and the Smart Built Environment, an M.Eng. in Computer Science with an emphasis in HCI, and an M.S. in Civil Engineering with an
Learning and Cognitive Load Theory to Enhance Computer Programming for Mechanical Engineers: Qualitative Assessment, Thomas J. Impelluso 70 15. A Junior Level FPGA Course in Digital Design Using Verilog HDL and Altera DE-2 Board For Engineering Technology Students, Tariq Qayyum 80 16. Design, Fabrication, and Analysis of Photodynamic Therapy Monitoring System for use in Esophageal Carcinoma, Gemunu Happawana, Amaranath Premasiri and Arye Rosen 89 17. SimzLab - Interactive simulations of physical systems for active individual and team learning, Richard K. Herz and Gregory E. Ogden
Paper ID #27395An Improved Cellphone-based Wearable Electrocardiograph Project for aBiomedical Instrumentation Course SequenceDr. Charles Carlson, Kansas State University Charles Carlson received a B.S. degree in Physics from Fort Hays State University in 2013 as well as B.S., M.S., and Ph.D. degrees in Electrical Engineering from Kansas State University in 2013, 2015, and 2019, respectively. Charles is currently a Graduate Teaching and Research Assistant in Electrical and Computer Engineering at Kansas State University (KSU). He works in the KSU Medical Component Design Laboratory and is interested in engineering
23.532.5 4Architecture and Components of TeatoLeCourse Materials: We recognize the potential of eCourses45,46 as effective toolsfor facilitating and enhancing the learning of engineering fundamentals. Web-based materials, including eBooks and eLectures will be used to presenttheoretical course materials to students. In the TeatoL environment, students willbe introduced to the theoretical material in an anytime and anywhere virtuallecture/class fashion. The developed eBooks and eLectures will be rich withcontent such as animations, interactive simulations, examples, collaborativesketching pads, and other tools for students. The web-based materials are used inthe environment to ensure that the students have
presentations–thirteen plenary–at international and national forums, conferences and corporations. Since 1994, he has directed an extensive engineering mentoring-research academic success and professional development (ASAP) program that has served over 500 students. These efforts have been supported by NSF STEP, S-STEM, and CSEM grants as well as industry. Dr. Rodriguez’ research inter- ests include: control of nonlinear distributed parameter, and sampled-data systems; modeling, simulation, animation, and real-time control (MoSART) of Flexible Autonomous Machines operating in an uncertain Environment (FAME); design and control of micro-air vehicles (MAVs), control of bio-economic systems, renewable resources, and sustainable
” [49,p. 136], all accessible to students via their computer screens. Sharon Beaudry, a businessprofessor at Oregon Institute of Technology, explains that the simulation allowed for more non-conventional teaching methodology, such as a student-centered, flipped classroom [50].Although effective, the Harvard simulation is limited to two areas, group dynamics andleadership, and focuses on a single event. Interpersonal problem solving and decision makingare, perhaps, more important in a business management curriculum than in engineering, whereproblem solving tends to focus more on solutions to technical problems. Communication is, ofcourse, essential but more subservient to technical ends.Everest pollution would fit conveniently as an embedded
Electrical and Computer Engineering at Drexel University. He received his BSEE from Temple University in 2011, and MSEE from Drexel in 2013. In 2012, he received the NSF-funded GK-12 Fellowship, for which he designed activities for Philadelphia high school students illustrating the connection between the arts and the sciences, to catalyze interest in STEM/STEAM. Jeff currently studies under Dr. Youngmoo Kim in Drexel’s Music Entertainment Technology lab, pursuing research in novel musical interfaces and machine learning applications in music information retrieval.Mr. David S. Rosen, Drexel University David Rosen is a doctoral student in Drexel University’s Applied Cognitive and Brain Sciences program. He has an M.S degree
Topics, Learning Objectives and Educational Modules Used inBioprocess Technology Course, M1 and M2: Bioreactor Operation Module, M3: Microbial Kinetics Module Bioprocess Technology (Priority Levels, Module Learning ObjectiveF:Familiar, I:Important,E: Essential) · Identify specific classifications of cells such as microbial, plant and animal, · Notice (or recognize) the importance of cells in biotechnology,1. Biology (I) and be aware of cells’ capabilities,1.1. Cellular Biology (I
of Connecticut Sarira Motaref is an associate professor in residence in the Department of Civil and Environmental Engi- neering at the University of Connecticut. she serves as Assistant Director of faculty development at the School of Engineering. She has been teaching large classes such as CE 2110 (Applied Mechanics I) and CE 3110 (Mechanics of Materials) which are major requirement across multiple disciplines in the School of Engineering since 2013. She has led the efforts within the Department to develop and deliver flipped sections of undergraduate courses. She is a licensed professional engineer. She has attended several teaching workshops and received certificates from UConn CETL (Center for Excellence in
: Concept maps(R) as facilitative tools in schools and corporations. 1998, Mahwah, NJ, US: Lawrence Erlbaum Associates, Inc., Publishers. xviii, 251.10. O'Neil, H.F., Jr., K. Allred, and R.A. Dennis, Use of computer simulation for assessing the interpersonal skill of negotiation, in Workforce readiness: Competencies and assessment., H.F.O.N. Jr, Editor. 1997, Lawrence Erlbaum Associates, Inc., Publishers: Mahwah, NJ, US. p. 205-228.11. Rice, D.C., J.M. Ryan, and S.M. Samson, Using concept maps to assess student learning in the science classroom: Must different methods compete? Journal of Research in Science Teaching, 1998. 35(10): p. 1103-1127.12. Trent, S.C., et al., Using concept maps to measure conceptual
-aligned curriculum. Unfortunately, technology has not changed the outcomes in the K-12educational environment unlike it has in sectors such as business, transportation, communication,etc. To bring significant change in education through technology, classrooms need to evolvebeyond the use of computers to create word documents, spreadsheets, power point presentations,or photo-collages. Students need to experience the use of computers as real-world problem-solving tools (e.g., program microcontrollers, design 3D objects, and create multimediapresentations). For example, as shown in this paper, soil mechanics can be used as a bridgebetween the required science and math content and the cool, “tech-toys.” The main goal of this paper is to
Paper ID #16813Student Proposals for Design Projects to Aid Children with Severe Disabili-tiesDr. Steve Warren, Kansas State University Steve Warren received a B.S. and M.S. in Electrical Engineering from Kansas State University in 1989 and 1991, respectively, followed by a Ph.D. in Electrical Engineering from The University of Texas at Austin in 1994. Dr. Warren is an Associate Professor in the Department of Electrical & Computer Engineering at Kansas State University. He directs the KSU Medical Component Design Laboratory, a facility partially funded by the National Science Foundation that provides resources for the