. Page 14.284.2© American Society for Engineering Education, 2009 Blended Learning to Enhance Computer Application InstructionAbstractThe University of Delaware’s Department of Civil and Environmental Engineering (UD-CEE)curriculum has a required Freshman Design Class that includes a Computer-Aided Drafting(CAD) lab. Due to growth in enrollment, the class has to accommodate approximately 100students. To effectively teach CAD in computer classrooms, class sizes need to be limited. Inorder to provide adequate and efficient instruction to this large number of students, the spring of2008 course instructor utilized blended learning, an approach that uses a mix of traditionalclassroom teaching and online training. In this case, the blended
AC 2009-1169: USING SYMBOLIC COMPUTATION, VISUALIZATION, ANDCOMPUTER-SIMULATION TOOLS TO ENHANCE TEACHING AND LEARNINGOF ENGINEERING ELECTROMAGNETICSRadian Belu, Drexel UniversityAlexandru Belu, Case Western Reserve University Page 14.1333.1© American Society for Engineering Education, 2009 Using Symbolic Computation, Visualization and Computer Simulation Tools to Enhance Teaching and Learning of Engineering ElectromagneticsAbstractIn this paper we will review various technologies and techniques in simulating anddeepening understanding of abstract and highly mathematical subjects such aselectromagnetics. Specifically the paper describes some of
AC 2009-1849: DEVELOPING A COMPUTER-BASED SIMULATEDENVIRONMENT TO LEARN ON STRUCTURAL FAILURESLuis Godoy, University of Puerto Rico Prof. Luis A. Godoy graduated as a Civil Engineer at the National University of Córdoba, Argentina, and received his Ph. D. from University College London (University of London, UK) in 1979. He is Professor at the University of Puerto Rico at Mayagüez since 1994, and is also Adjunct Professor at West Virginia University and Universidad Carlos III at Madrid. Godoy has published two books: Thin Walled Structures with Structural Imperfections (Pergamon Press, 1996), and Theory of Elastic Stability (Taylor and Francis, 2000). His research interests include
AC 2009-2181: UTILIZING THE XO COMPUTER FOR UNDERGRADUATERESEARCH AND LEARNING OPPORTUNITIESSilas Bernardoni, University of Wisconsin, MadisonMauricio Rodríguez Alcalá, Skidmore CollegeMaria Rodriguez Alcala, Paraguay Educa Page 14.1342.1© American Society for Engineering Education, 2009 Utilizing the XO Computer for Service Learning Opportunities: Collaborating with US Institutions and Paraguay Educa to Support XO Implementation in Wisconsin and ParaguayAbstract The One Laptop Per Child Project, created by the One Laptop Per Child (OLPC)Foundation, the program’s mission is to serve the worlds’ children by providing educationalopportunities
AC 2009-2132: LEARNING STYLE, STUDENT MOTIVATION, AND ACTIVELEARNINGWilliam Birmingham, Grove City College Professor of Computer Science and Electrical Engineering, Chair of Computer Science Department, Grove City CollegeVincent DiStasi, Grove City College Vice President and Chief Technology Officer, Professor of Chemistry,Grove City CollegeGary Welton, Grove City College Professor of Psychology, Assistant Dean of Institutional Assessment,Grove City College Page 14.841.1© American Society for Engineering Education, 2009 Learning Style, Student Motivation, and Active LearningAbstractFor the past two
, blended learning is the process of incorporating many different learning styles that can beaccomplished through the use of 'blended' virtual and physical resources. Page 14.1040.5A typical example of the delivery method of blended learning would be a combination oftechnology-based materials and face-to-face sessions used together to present content. Aninstructor can begin a course with a well-structured introductory lesson in the classroom, andthen to provide follow-up materials online. The term can also be applied to the integration of e-learning with a Learning Management System using computers in a physical classroom, alongwith face-to-face
required for the course areprogramming using a high level language such as C/C++ or Java and an understanding of logicdesign, both which a typical undergraduate computer engineering student acquires at thesophomore or the junior level. An associated laboratory component was also developed, whereweekly hands-on laboratory sessions serve to reinforce the ideas learned in the lecture. Thecourse projects are drawn from a variety of disciplines which use high performance computingincluding bioinformatics, scientific computing, and signal processing. The course was assessedthrough pre and post tests, focus groups, and external evaluators drawn from faculty from otherdepartments. Our assessments indicate that the course has had a significant impact on
speed of the processors continue to increase, so do their heat andpower drain. By using multi-core architecture, the speed increases without the traditionaldrawbacks of faster processors, which include power consumption and heat dissipation. Multi-core architectures are used to enhance throughput and power efficiency of processors. Now theprediction is that the number of cores on a chip would double with each silicon generation3.This change in computer architecture requires change in programming paradigm. The era ofdevelopers simply waiting for faster processors to save their slow performing applications isover. For developers to take advantage of this multi-core environment, they must learn to writesoftware for tightly-coupled shared memory
. In introductory physics courses a rich understanding of situations is more usefulthan procedural ability [1]. When students start to learn calculus-based physics the emphasis is shifted.Although situational understanding and the ability to identify a problem remain crucial to deepunderstanding and problem solving [2, 3], learning to carry out solution procedures simply consumes alarge portion of the students’ attention and takes up the available time. Therefore, it has beenunavoidable that more challenges are postponed until procedural mastery has been achieved. Recentdevelopment in user-friendly computer algebra software may offer new opportunities and tools to dosome more substantial analysis in calculus-based physics courses.This paper
Teaching Microcontroller Applications Using Laptop ComputersAbstractThis paper presents an inexpensive technique of teaching an introductory microcontrollerapplications course to technology students in a laptop-based curriculum. The focus of the courseis learning to apply microcontrollers in various control applications. Related topics covered inthe course include assembly language programming and computer architecture. Students in thecourse are each equipped with a laptop computer. The microcontroller platform used in thiscourse is the Microchip PICKit1 development board. This development board features 8- and 14-pin microcontrollers with a 35 word instruction set. This is an ideal platform because the deviceshave enough resources to develop
computer graphics technology department described in this paper has created a number ofstudy-abroad programs to countries such as Poland, Russia, and China; with plans to extendsimilar programs to Ireland and Scotland. Its Chinese cultural exchange program has beenestablished since 2007, and continues to function in partnership with another department at theuniversity. Like many study-abroad programs, students and faculty learn and teach at severalpeer institutions in the select countries for anywhere from two weeks to one month depending onthe individual program. While these programs are somewhat traditional in that they heavily focuson cultural aspects of international exchange, they have nonetheless provided invaluableexposure for students and
AC 2009-1757: BREAKING AWAY FROM THE LABORATORY: USINGLEAN-COMPUTING TECHNOLOGY TO MERGE THEORY-BASED LEARNINGAND EXPERIMENTATIONThomas Connolly, University of Texas, San AntonioKathy Schmidt, University of Texas, AustinJavier Kypuros, University of Texas, Pan American Page 14.286.1© American Society for Engineering Education, 2009 Breaking Away from the Laboratory: Using Lean Computing Technology to Merge Theory Based Learning and ExperimentationAbstractThis ongoing research involves a departure from traditional laboratory instructional practices inthat it seeks to forge a closer connection between lecture-based and laboratory
AC 2009-160: THE EFFECTS OF COMPUTER INTERFACE ON LEARNINGOUTCOMES IN REMOTE-ACCESS LABORATORIESM. Reza Emami, University of TorontoMichael G. Helander, University of Toronto Page 14.1209.1© American Society for Engineering Education, 2009 THE EFFECTS OF COMPUTER INTERFACE ON LEARNING OUTCOMES IN REMOTE ACCESS LABORATORIESAbstractRemote access laboratories are increasingly being integrated into undergraduate engineeringcurricula on a global scale. Despite the vast body of literature dealing with remotely-accessiblelaboratories, the majority of papers have focused on the technical merits of a particularimplementation, rather than on the implications of
ASME and SPE, and he has received a best paper award from SPE’s Injection Molding Division, the distinguished Assistant Professor Award at Stevens Institute of Technology, an Honorary Master’s Degree from Stevens Institute of Technology, and the Tau Beta Pi Academic Excellence Award. Page 14.1032.1© American Society for Engineering Education, 2009 Review of the State of the Art in Virtual Learning Environments Based on Multi-Player Computer Games El-Sayed Aziz, Sven K. Esche and Constantin Chassapis Stevens Institute of Technology, Department of Mechanical
AC 2009-167: TEACHING AND LEARNING STRUCTURAL ENGINEERINGANALYSIS WITH MATLABansgar neuenhofer, California State Polytechnic University, San Luis Obispo Page 14.1125.1© American Society for Engineering Education, 2009 Teaching and Learning Structural Engineering Analysis with MATLABAbstractThe paper presents several examples of how the author uses the analysis and visualizationsoftware MATLAB in teaching analysis courses in a structural engineering university program.It also addresses how students work with the software to accelerate learning and deepenunderstanding.Examples include: • Animating the vibration behavior
improve the effectiveness of teaching as well asstudents’ performance 2-3. The illustrations, such as would be found in a textbook become activewhen the user manipulates the controls provided. This new level of engagement moves thelearner from a passive to an active role, with the potential for more enthusiastic involvement inthe learning process, as well as independent integration of concepts to be learned in the course4-10 .There are a number of visualization tools already available for AC systems and electricalmachines. These cover a broad range of subject material where the depth of coverage varies andis usually specialized. Many of the computer applications available are rather advanced forintroductory courses or are narrowly specialized
AC 2009-352: THREE PRACTICAL AND EFFECTIVE RF AND EMCEXPERIMENTS FOR A COMPUTER ENGINEERING COURSE ONELECTROMAGNETICS AND EMCKeith Hoover, Rose-Hulman Institute of Technology Keith Hoover received his B.S. degree from Rose-Hulman Institute of Technology in 1971 and the M.S. and Ph.D. degrees at the University of Illinois in 1972 and 1976, respectively, all in electrical engineering. He is currently a full professor in the Electrical and Computer Engineering Department at Rose-Hulman Institute of Technology in Terre Haute, IN. His teaching and research interests include electromagnetic compatibility, instrumentation, and embedded systems.JianJian Song, Rose-Hulman Institute of Technology
AC 2009-10: DISTANCE LEARNING AND COGNITIVE LOAD THEORY TOIMPROVE TRADITIONAL AND NON-TRADITIONAL STUDENT LEARNING OFCOMPUTER PROGRAMMING FOR MECHANICAL ENGINEERS:QUANTITATIVE ASSESSMENTThomas Impelluso, San Diego State University Dr. Impelluso received his BA in Liberal Arts from Columbia University. This was followed by two MS degrees in Civil Engineering and Biomechanics, also from Columbia. He received his doctorate in Computational Mechanics from the University of California, San Diego. Following this, he worked for three years in the software industry, writing code for seismic data acquisition, visualization, and analysis. He then commenced post-doctoral studies at UCSD, wherein he secured
tools to quickly generatedesigns, an FPGA platform provides the necessary flexibility to quickly produce a workingsystem. Students are able to easily modify and adapt their designs for a specific application. Wedemonstrate that multiprocessor systems can be developed, implemented and studied byundergraduate students due to the availability and accessibility of design tools and FPGAdevelopment boards. Further, these systems enhance the learning of multiprocessors and aptlycompliment advanced computer architecture courses covering topics to include shared memory,synchronization, sequential consistency, and memory coherency.1. IntroductionThe last few years have seen a dramatic increase in the capabilities and performance of softprocessor cores in
AC 2009-1705: EMBEDDED SYSTEMS CAPSTONE PROJECTS IN THECOMPUTER ENGINEERING AREA OF SPECIALIZATION WITHIN THECOMPUTER SCIENCE DEPARTMENTAfsaneh Minaie, Utah Valley UniversityReza Sanati-Mehrizy, Utah Valley University Page 14.527.1© American Society for Engineering Education, 2009 Embedded Systems Capstone Projects in the Computer Engineering Area of specialization within the Computer Science DepartmentAbstractThe purpose of a capstone design project is to provide graduating senior students the opportunityto demonstrate understanding of the concepts they have learned during the course of theirstudies. In order to provide our students
one-to-one proportion to lecture courses. Furthermore,lecture courses tend to emphasize the application of techniques in solving engineering problems.Table 1 below shows the approximate core lecture/lab breakdown at the University of Houston,College of Technology’s Department of Engineering Technology illustrating one example of theextent of experiential learning that is typically embedded in ET programs.Table 1 Approximate Breakdown of ET Core Lecture/Lab Courses at UH TAC/ABETaccredited B.S. degrees in Computer ET (CET) and Electrical Power ET (EPET). (53 SemesterCredit Hours) Lecture Lab Capstone CET 13 courses (54%) 9 courses (38%) 2 courses (8
up in the classroom. We could seriously think that toomuch computer exposure may hinder creativity, but it seems quite reasonable to integrate quizzesor surveys in this learning object approach. The next challenge will be to develop more and morecourses that follow this methodology. Some guidelines shall be discussed in great detail fromnow on. Better authoring tools that can be used by teachers with little technical know-how arenecessary.Conclusionselearning contents are not tied to any location or physical device. Emerging semantictechnologies open a wide world of possibilities in education. Metadata is the foundation onwhich everything is going to be built from now on. The confluence of semantic desktop and webwill be a step towards a
AC 2009-2061: INTENTIONAL LEARNING IN CORE ENGINEERING ANDENGINEERING TECHNOLOGY EDUCATIONBill Yang, Western Carolina UniversityAmy Martin, Western Carolina UniversityRobert Adams, Western Carolina UniversityJames Zhang, Western Carolina UniversityKenneth Burbank, Western Carolina University Page 14.780.1© American Society for Engineering Education, 2009 Intentional Learning in Core Engineering and Engineering Technology EducationAbstractWe report a Scholarship of Teaching and Learning (SoTL) case study on the intentional learningin the upper level core electrical engineering sequence in which the same instructor and the samegroup of
Division, and the Association of Computing Machinery (ACM). She is also a past Editor of the Journal of Engineering Technology.Barbara Stewart, University of Houston Barbara L. Stewart is Professor of Human Development and Consumer Sciences at the University of Houston where she coordinates the Consumer Science program. She earned a BA degree from Brigham Young University, a MS in Consumer and Home Economics Education from Utah State University, and an EdD in Curriculum and Instruction from Brigham Young University.Marcella Norwood, University of Houston Marcella Norwood is Professor of Human Development and Consumer Sciences in the College of Technology at the University of Houston. She
AC 2009-2441: TEACHING REAL-TIME EMBEDDED SYSTEMS NETWORKINGAND ASSESSMENT OF STUDENT LEARNINGZaydoun Rawashdeh, Wayne State University Zaydoun Rawashdeh has received his Master’s degree from the University of Michigan. He is currently a Ph.D candidate in the Department of Electrical and Computer Engineering at Wayne State University. Since 2007 he has been working as a Teaching Assistant in the department. His research area is Vehicular Ad hoc Networks.Syed Masud Mahmud, Wayne State University Syed Masud Mahmud received the Ph.D. degree in electrical engineering from the University of Washington, Seattle, in 1984. Since 1988, he has been with Wayne State University, Detroit, Michigan
AC 2009-2275: RUNNING LINUX IN A WINDOWS COMPUTER LABEd Crowley, University of Houston Page 14.1039.1© American Society for Engineering Education, 2009 Running Linux in a Windows Computer LabAbstractIn many courses, the effective use of Linux, or other open source software, can expandand enhance active learning opportunities for students. Since many institutions havestandardized on Windows Computer Laboratories, implementing Linux based learningexperiences may initially seem problematic. However, with a Live Linux CD, you canquickly and easily run Linux, and related open source tools, in an existing WindowsComputer Lab.In this paper, we will explain how Linux Live CDs
opinion on particular question, which is quite common in most surveys. We also see someobvious errors made by students in completing these surveys. However overall we think theresults match our expectation well. In particular, from question 1 to question2, we see a Page 14.352.8significant number of students moved from Scale 1~3 to Scale 3~4, which means that thissoftware was indeed effective in helping students in learning computed tomographic imagingmethods. From question 3~5 results we also see that most of the students seem satisfied with theimplementation and usability of the software.Obviously this evaluation was our first attempt, and the
appointment at Purdue, Kyle worked for 16 years as a software engineer and developed systems for such industries as banking, telecommunications, publishing, healthcare, athletic recruiting, retail, and pharmaceutical sales.Alka Harriger, Purdue University Alka Harriger joined the faculty of the Computer and Information Technology Department (CIT) in 1982 and is currently a Professor of CIT and Assistant Department Head. Professor Harriger's current interests include reducing the IT gender gap, web application development, and service learning. Since January 2008, she has been leading the NSF-ITEST SPIRIT project that seeks to rekindle enthusiasm for information technology disciplines as a career
AC 2009-1697: EXPERIMENTS WITH COMPUTER PASSWORD CRACKINGAND SHIELDING TECHNIQUESVeeramuthu Rajaravivarma, State University of New York, Farmingdale V. Rajaravivarma is currently with the Electrical and Computer Engineering Technology at SUNY, Farmingdale State College. Previously, he was with Tennessee State University,Morehead State University, North Carolina A&T State University, and Central Connecticut State University. Dr. Rajaravivarma teaches electronics, communication, and computer networks courses to engineering technology students. His research interest areas are in the applications of computer networking and digital signal processing.Cajetan Akujuobi, Prairie View A&M University
statistics in terms of point estimates.Students learn how to compute central tendency statistics (mean, mode, median) and dispersionstatistics (standard deviation, variance, range). Page 14.911.5Interval Estimates (Confidence Intervals)Figure 1 is vital to understanding bootstrap methods for developing confidence intervals. In thisfigure, everything to the left of the brick wall is unknown. That is, we do not know thedistribution of the population data and we do not know the distribution of the statistic in question(in this case, the mean). By the central limit theorem, we know that the mean will be normallydistributed, but we do not know much else