worked for Lockheed Palo Alto Research Laboratories prior to coming to Taylor Universityin 1994. He is currently a Professor of Engineering and Physics at Taylor University. Some of the courses that he regu- larly has taught include Principles of Engineering, Intro to Electronics, Statics, Advanced Electronics, Jr. Engineering Projects, FE Review, Control Systems, Fundamentals of Space Flight Systems, Astronomy, and Sr. Capstone Sequence. He enjoys mentoring undergraduate students in aerospace, sensors, and energy-related research projects. Some of the research areas include spacecraft nano-satellite technologies, satellite payload instrumenta- tion, High Altitude research Platform (HARP) experiments, wave particle
of Education in Curriculum and Instruction (2009) and a Bachelor’s of Science in Mechanical Engineering (2005). He has received the UA Graduate Access Fellowship, the Mary & Maude Miller Scholarship, and the SRP Learning Grant. Beau’s research interest lies in understanding how students can best learn and teachers can best teach engineering in the pre-college setting.Prof. James C. Baygents, University of ArizonaDr. Jeffrey B. Goldberg, University of Arizona Dr. Jeff Goldberg is Dean, College of Engineering, and Professor in Systems and Industrial Engineering at Arizona. He was employed at Vector Research and Bell Laboratories. He is currently a Principal of Silver Oak Research Inc. which specializes in deployment
clear and concisely and students incorrectly answering questions likelyhave conceptual misunderstandings.Specific Comments from Advisory WorkshopThe preliminary concept inventory for the second law of thermodynamics was presented to anadvisory council composed of thermodynamic experts from industry, academia, andgovernmental laboratories during a one day workshop evaluating the redesign of the FTC effort15 . The advisory council members were enthusiastic about the inventory, and in general felt thatthis preliminary version captured the basic concepts that they felt were important. Several of themembers had specific comments about the wording of certain questions, and a valuable dialogwas conducted that should help improve future versions of
and system integration and risk management. He is the director of the Dynamics Environment Simulation (DES) Laboratory and the Computer-Aided Engineering (CAE) Laboratory. He is the supervisor of the capstone senior design project team on the Autonomous Surface Vehicle (ASV) which has competed in the international competition in the last three years. During his tenure, he has the privilege of developing 3 new undergraduate and 6 new graduate courses in the areas related to computational methods and design.Xiaoxiao Hu, Old Dominion University Xiaoxiao Hu is an Assistant Professor in the Psychology Department at Old Dominion University. She received her PhD in Industrial/Organizational psychology from George Mason
risk analysis for over twenty five years. He served for two and a half years as a research mathematician at the international operations and process research laboratory of the Royal Dutch Shell Company. While at Shell, Dr. Mazzuchi was involved with reliability and risk analysis of large processing systems, maintenance optimization of off-shore platforms, and quality control procedures at large scale chemical plants. During his academic career, he has held research contracts in development of testing procedures for both the U.S. Air Force and the U.S. Army, in spares provisioning modeling with the U. S. Postal Service, in mission assurance with NASA, and in maritime safety and risk assessment with the Port Authority
experiences of students entering engineering and (2) the trends in higher education to reduce laboratory experiences in curricula. The CEPCTC believes that it is critical that future civil engineers have a strong physical understanding of the materials and systems they will design and manage.• Technical Breadth: The existing CEPC only require students to apply knowledge of four technical areas appropriate to civil engineering. The proposed CEPC require that students analyze and solve well-defined problems in at least four technical areas appropriate to civil engineering. The change represents a higher cognitive level in Bloom’s taxonomy. The significance of this change is minor, if at all. The requirement to apply knowledge
continuing advances in technology, far more resources and tools are available toinnovators and entrepreneurs than in the past. This results in countless opportunities for newapplications and services to be created as well as for existing applications and processes to berevolutionized. Not only have the tools changed, but so has the route to innovation and, with it,society’s ideal image of the value creators. In the early 1900s, large companies such as IBM,Xerox and AT&T leveraged their resources to form research laboratories that invested millionsof dollars in infrastructure, facilities, and personnel. Out of these investments, they were able tocreate structured research groups who then brought about breakthrough-enabling technologiessuch as the
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
university education. Perhaps this is most clearly evident in the type ofengineers certain companies employ and perhaps the statistics on employment may show a biastowards employing graduates from particular institutions in specific industry sectors. Educators have reported on the benefits of experiential, hands-on, student-directed learning[1-4] and the effects of design courses in engineering [5]. Engineering educators have used field Page 24.1198.2trips, laboratory investigations, and interdisciplinary activities that enrich and extend thecurriculum [6, 7]. Such designing of authentic experiences into courses and curricula are
drop assay. A through XRD (X-Ray Diffraction) elemental analysis.hanging drop assay is a laboratory technique to determine the Scanning Electron Microscope (SEM) can show themotility of the cells, where a specialized glass slide having a morphology of the surface of the bacterial cell. The sampleconcave cavity is used and a drop of cell suspension is placed preparation for the SEM has six steps in general, which areon a cover-slip, over which the glass slide is placed and the chemical fixation, wash, dehydration, mounting, coating andentire assembly inverted so that the drop containing cells imaging. Glutaraldehyde is used for chemical fixation. Aboutremains hanging between the cover-slip and the glass
information ismissing. None of these are easily developed in a traditional classroom.We therefore included an additional objective, which is to develop a skill that is often desired ofstudents but the development of which is not supported by lecture or laboratory formats: 4. Explaining, defending, and forming positions on technical matters via oral argument. Page 24.38.2We used the Socratic method enhanced by online assessment and discussion tools to meet theseseemingly disparate objectives.Course structureThere were no lectures; rather, instruction relied entirely on preparation according to a case studygiven to students, and subsequent
Page 24.47.7 6 Lecture from a Single Instructor Based on the data collected from student feedback, changes were made to the courseformat that included more of the learning formats that would better help them gain a betterunderstanding of both engineering majors and engineering careers.Fall 2012 The course format was changed for the second academic year based on student feedback.Because students listed hands-on activities, tours of research laboratories and classroomdiscussion as the top learning strategies, they were incorporated into the class. The class formatwas redesigned to focus on the grand challenges and include a final conceptual design project atthe end of the semester. At specific
associate at the Electromagnetics Laboratory in the University of Illinois at Urbana-Champaign. He was an assistant professor with the Department of Elec- trical Engineering, the University of Texas at Arlington from 2005 to 2012. He joined the Department of Electrical and Computer Engineering, West Virginia University Institute of Technology as an assistant professor in 2012. His current research interests include wireless power transmission, radar systems, mi- crowave remote sensing, antenna design, and computational electromagnetics. He was the recipient of the first prize award in the student paper competition of the IEEE International Antennas and Propagation Symposium, Boston, MA in 2001. He served as the chair of
attitude development in introductory computer science. In Proceeding of the 44th ACM Technical Symposium on Computer Science Education, SIGCSE ’13, 2013.11 Eric Drever. Using Semi-Structured Interviews in Small-Scale Research. A Teacher’s Guide. ERIC, 1995.12 Heidi Fencl and Karen Scheel. Engaging students: An examination of the effects of teaching strategies on self-efficacy and course climate in a nonmajors physics course. Journal of College Science Teaching, 35(1):20, 2005.13 Jack R Fraenkel and Norman E Wallen. How to design and evaluate research in education.14 John M. D. Hill, Curtis A. Carver, Jr., Jeffrey W. Humphries, and Udo W. Pooch. Using an isolated network laboratory to teach advanced networks and security. In Proceedings
. Most commonly, this is accomplished through assessment of somecourse-related activity including homework assignments, exams, laboratories, and projects.However, some of the learning outcomes are not easy to assess in a typical classroom setting. Inparticular, professional skills and their related outcomes are the most challenging to assess, likestudent learning outcome „f‟ which states that by the time a student graduates, they must have anunderstanding of the professional and ethical responsibility.[1] Multiple challenges have beenreported in the literature regarding educating students, and assessing the mastery level of thisparticular outcome.[2, 3] Some of these challenges are common to all engineering programs,including limitations to
.!! Page 24.105.10!References!1. E. Davis, D. Petish, J. Smithey, “Challenges New Science Teachers Face,” Review of Educational Research, 76, 2005, pp. 607-651.2. NJ Department of Education, Core Curriculum Content Standards, http://www.state.nj.us/education/cccs/3. Bernie Trilling & Charles Fadel, “21st Century Skills - Learning for Life in our Times,” Wiley, 2009.4. Eric Westervelt, “To Make Science Real, Kids Want More Fun,” National Public Radio, Morning Edition, http:// www.npr.org/2013/12/17/251675532/to-make-science-real-kids-want-more-fun-and-fewer-facts5. T. Jong, M. Linn, and Z. Zacharia, “Physical and Virtual Laboratories in Science and Engineering Education,” Science, 340, 2013, pp. 305-308.6. TeachEngineering, Providing
aboutcomplex social problems. Nature provides the best and largest laboratory for people to createmental models by imitating and emulating nature’s systems. Fourth Year Science and Technology Courses (24 Cr. Hrs.) Honors Thesis (6 Cr. Hrs.) Third Year Science and Technology Courses (24 Cr. Hrs.) Research Problem (6 Cr. Hrs.) Second Year Science and Technology Issues (6 Cr. Hrs
elements of the course that have fosteredhigher levels of intellectual development and thereby critical thinking skills.Felder and Brent6 suggest that there are five teaching conditions that correlate with students tak-ing a deep approach to learning. The first condition, “Student-perceived relevance of the subjectmatter” is obtained by the industrial involvement and real-world problem solving. Since thiscourse was co-developed by industry, it has received the “industry stamp of approval” whichgives the students incentive and enthusiasm to learn the course material. The second condition,“Clear expectations, practice, and feedback” is obtained in the laboratory exercises (labs). Thecritical thinking process is modeled by the professor in the early
-configurableelectronics laboratories, we will be able to provide students in these programs state-of-the-arttraining tools that match the expectations of industry.FPGAsFPGAs were created approximately 15years ago by the Xilinx Corporation [3].Xilinx is still the largest manufacturer ofthis technology in the world [10]. FPGAsare not only programmed through atraditional schematic fashion, they are alsoprogrammed using HDL. HDL is used todescribe the behavior of the circuits that arebeing created. Although HDLs describenearly all advanced circuits, certain circuitscan be automatically synthesized, meaningthat HDL code can be rendered from acomputer directly into a working design.This is particularly true of “reconfigurable Figure 1. FPGA Block
, equipment, and laboratories are consideredto be a function of the number of positions allocated to engineering education. In the currentmodel we do not consider the quality of students as an input.Each institution is assumed to have an objective (output) that is a combination of the number ofBS degrees, MS degrees, PhD degrees, and amount of externally funded research. Someprograms may have an undergraduate emphasis, other have a focus on professional mastersprograms, while others emphasize PhDs and funded research.Data envelopment analysisTo compare schools (or any systems) with each other, in terms of efficiency, there are somenumeric methods are useful in determining efficiency. Data Envelopment Analysis (DEA) is amethod to evaluate the
was also reflected in the emergence and growth ofnew science-based subdisciplines like electrical and chemical engineering. These trends were inturn accompanied by matching changes in engineering courses and curricula, with studentsspending more time in classrooms and laboratories rather than machine shops.4 Thesedevelopments represent the emergence, especially in the Europe and U.S., of a dominant systemof modern engineering training that was increasingly scientific and analytic. This was alsosynergistic with a more general turn toward rationalism, empiricism, and positivism, both inuniversities and in society more generally.Yet one important question that remains is whether such a system – either with or without its
. Thomas and K. A. Cook, Illuminating the Path: The Research and Development Agenda for Visual Analytics. Los Alamitos, CA, United States(US).; Pacific Northwest National Laboratory (PNNL), Richland, WA (US): IEEE Computer Society, 2005.[28] D. A. Keim, “Designing pixel-oriented visualization techniques: Theory and applications,” Vis. Comput. Graph. IEEE Trans. On, vol. 6, no. 1, pp. 59–78, 2000. I. Herman, G. Melançon, and M. Marshall, “Graph Visualization and Navigation in Information Visualization: Page 24.519.12[29] a Survey.,” IEEE Trans. Vis. Comput. Graph., vol. 6, no. 1, pp. 24–43, 2000.[30
overarching aim of my research and teaching is to always push the boundaries for Norwegian product development teams, so that they will ideate, more radical new concepts, faster.Prof. Larry Leifer, Stanford University, Center for Design Research Larry Leifer is a Professor of Mechanical Engineering Design and founding Director of the Center for Design Research (CDR) at Stanford University. He has been a member of the faculty since 1976. His teaching-laboratory is the graduate course ME310, ”Industry Project Based Engineering Design, Innova- tion, and Development.” Research themes include: 1) creating collaborative engineering design environ- ments for distributed product innovation teams; 2) instrumenting that environment
theirown mistakes and avoid making any similar mistakes again in the future. Unfortunately inreality, it is commonly known that most students do not make full use of the learning potential ofthese assessments. (Henderson & Harper 2009) They either look at these solutions superficiallyor simply are discouraged by their bad scores hoping to see a better grade next time or choose towithdraw from the class or simply change their majors to avoid taking physics. Quizzes/examsare thought by students as a report for their performance but not chances to improve theirlearning, professor’s time in some means are wasted.The typical PH411 Calculus Physics I course has four 50-minute lectures and one 1 hr 50 minutelong laboratory per week. The official
Efficacy Factors: An Experience in a Project Based Learning Context. Int. J. Eng. Educ. 29, 752–762 (2013).12. Bingham, A. Student Attitudes to Real-World Projects in An Introductory Statistics Course. Int. Assoc. Stat. Educ. (2010). at 13. Newstetter, W. C., Behravesh, E., Nersessian, N. J. & Fasse, B. B. Design Principles for Problem-Driven Learning Laboratories in Biomedical Engineering Education. Ann. Biomed. Eng. 38, 3257–3267 (2010). Page 24.614.15Supplement A: BME Student-centered Strategies (BSS) SurveySelect a value from a range of 1-Disagree to 5-Agree. 1. I prefer the flipped* class to the
thought that wasa good exercise. That is, it is difficult to collaborate with each other. So, you need to be tolerant.Or, sometimes, you need to do more and don’t have high expectations towards others.Sometimes, other team members are better than you. So, it becomes a dynamic process, like,who is going to be the leader of the group. If you think other group members are not so good,you should, don’t complain. Instead, you can undertake more responsibilities; just try to be theleader. If there is someone better than you in the group, then try to be a follower. So I think, it isabout a cooperative mode. I think being in the laboratory is the same as well. That is, you shouldappreciate others' advantages and discover the strengths of others.”In this
lighting anddaylighting design 8. It was used to study the lighting design of an existing historical building inSingapore and evaluated in its terms of being able to construct a reasonably accurate simulatedlighting environment of the Empress Place Building. Radiance software was developed by theLawrence Berkeley Laboratory and was chosen for the study based on its suitability andvalidation in predicting accurate illuminance levels with a high range of sky conditions, andability to handle complex geometry and complex lighting environments 8. The simulated resultsfrom the daylight simulation were compared with actual measured results on site. Conclusionsfrom the study indict that Radiance had the ability to produce a reasonably accurate
Perceptions of Engineering Survey Persistence in Engineering Pittsburgh Freshman Engineering Attitudes Scale - Revised Pittsburgh Freshman Engineering Attitudes Survey Pre-Survey of Student Perceptions Principles of Scientific Inquiry-Student Principles of Scientific Inquiry-Teacher Priorities Survey for Online Learners Purdue Interest Questionnaire Revised Environmental Scale Science and Engineering as Choices for Students with Disabilities Science Attitude Scale for Middle School Students Science Laboratory Environment Inventory Science Motivation Questionnaire II * Scientific Attitude Instrument II Self-Efficacy for Cross-Disciplinary Team Learning Socialized Power Motivation Inventory Student Assessment of Learning Gains Student Attitude Survey