ofunderrepresented minority students. The project goals are three folds: 1) Establish a cyber-infrastructure to enable remote learning which significantly improve the learning efficiency ofstudents on a commuter campus; 2) Foster students’ hands-on design and implementation skillsin networking field; 3) Improve teaching and learning efficiency by integrating project-based andinquiry-based learning pedagogy.This paper presents our current progress on the CCLI project, which is focused on thedevelopment of a sequence of scalable remote labs using OPNET to enable the integration ofcollaborative project-based and inquiry-based based learning into existing computer networkingcourses in both Computer Science and Electrical Engineering departments. The remote
AC 2011-2001: A COMPARATIVE STUDY OF CLASSROOM LEARNINGAND ONLINE LEARNING ON MEDICAL IMAGING WITH COMPUTERLAB EXERCISESHong Man, Stevens Institute of Technology Dr. Hong Man joined the faculty of Electrical and Computer Engineering at Stevens in January 2000. He received his Ph.D. degree in Electrical Engineering from the Georgia Institute of Technology in December 1999. Dr. Man is currently an associate professor in the department of ECE. He is serving as the director of the undergraduate Computer Engineering program, and the director of the Visual Information Envi- ronment Laboratory at Stevens. His research interests have been in image and video processing, medical imaging, data analysis and pattern recognition
AC 2011-2080: ENGAGING STUDENTS IN STEM EDUCATION THROUGHA VIRTUAL LEARNING LABStephanie Elizabeth August, Loyola Marymount University Stephanie August is an Associate Professor and Director of Graduate Studies in the Department of Elec- trical Engineering and Computer Science at Loyola Marymount University, Los Angeles. She teaches courses in artificial intelligence, database management systems, and software engineering. Her research interests include cognitive science applications of artificial intelligence including interdisciplinary new media applications, natural language understanding, argumentation, and analogical reasoning. She has several publications in these areas. Dr. August is actively involved in the
AC 2011-2488: USE OF SOFTWARE AGENT-MONITORED TUTORIALSTO GUIDE STUDENT LEARNING IN COMPUTER-AIDED DESIGN, ANAL-YSIS AND MATHEMATICS PROJECTSJack L. Beuth, Carnegie Mellon University Jack Beuth received his Ph.D. in Engineering Sciences from Harvard in 1992. He has been on the faculty of the Carnegie Mellon University Department of Mechanical Engineering since 1992. Dr. Beuth’s re- search is in the areas of solid mechanics and manufacturing. He is currently working on projects in four areas: The Mechanics of Laser- and Electron Beam-Based Manufacturing Processes, Interfacial Tough- ness Testing of Thermal Barrier Coatings, Development of an In-situ On-chip Tensile Testing Platform, and the Modeling of Fracture
code, complex build tools, and unintuitive interfacesthat discourage students from engaging in directed and focused practice.In this paper we review existing introductory computer science tools, enumerate barriersto student learning we have identified in our own classes, and introduce a new web-basedpedagogical platform for teaching computer science that emphasizes problem solving andcore computer science concepts while deemphasizing the role of specialized developmenttools. This is accomplished with JavaGrinder, a task specific web 2.0 environment wherestudents can work either individually or as teams on bite-sized problems that focus onsolid software engineering practices and concept mastery. Concepts are presented withinreal-world contexts
. Page 22.1109.3 3) Peer led team learning (PLTL) model. 4) Daily one-minute essays. 5) Daily active learning activities. 6) Use of computer simulations and software tools in a workshop. 7) Development of a course web page with online resources. 8) Development of a concept inventory. Figure 1: Spiral Model used to connect ideas and teach the AQM course at UTEPItems 1 (course alignment) and 6 (visual aids) are intended to help students see the relevance ofthe material to their course of study and to increase their interest in the course material. Items 2(spiral teaching model), 3 (PLTL model) and 5 (active learning) are aimed at improving the roadto comprehensive knowledge in this area as the course progresses, and to
creation of assessments for teamwork, professional development, and design skills learned in the context of team projects. He is also a Fellow of the American Society for Engineering Education.Olusola O. Adesope, Washington State University-Pullman Olusola O. Adesope is an Assistant Professor of Educational Psychology at Washington State Univer- sity, Pullman. His research interests center on the cognitive and pedagogical underpinnings of learning with computer-based multimedia resources; knowledge representation through interactive concept maps; meta-analysis of empirical research, and investigation of pedagogical practices for developing science
, and evaluating a new required integrated four-coursesequence taught in the first two years of our Mechanical Engineering curriculum. Thefirst year focuses on design methodology and computer programming, with anoverarching theme of robotic/mechatronic systems. The new second-year courses replacetraditional stand-alone courses in Numerical Methods and Thermodynamics, andemphasize sustainability in engineering. Each individual course teaches specificengineering science topics in addition to design practice and methodology, computer-aided engineering skills, and professional engineering skills. Thus, our design-motivated,Student-driven Pedagogy of Integrated, Reinforced, Active Learning (SPIRAL) approachdistributes the teaching of basic
AC 2011-716: WEB-BASED, ACTIVE LEARNING MODULES FOR TEACH-ING STATISTICAL QUALITY CONTROLDouglas H Timmer, University of Texas, Pan AmericanMiguel Gonzalez, University of Texas, Pan American Dr. Miguel A. Gonzalez serves as the Associate Dean and Director for the School of Engineering and Computer Science in the University of Texas Pan American’s College of Science and Engineering. He has a significant amount executive industry experience where he held managerial and executive positions including President and CEO of a large Citrus processor. Throughout his experience, Dr. Gonzalez’ pro- fessional and academic activities are focused on an overall mission to provide opportunities for student involvement by developing
AC 2011-962: CLASSROOM LEARNING ACTIVITIES TO SUPPORT CAP-STONE PROJECT ASSESSMENT INSTRUMENTSJay McCormack, University of Idaho Jay McCormack is an assistant professor in the mechanical engineering department at the University of Idaho where he is an instructor for the college’s interdisciplinary capstone design course. Dr. McCormack received his PhD in mechanical engineering from Carnegie Mellon University in 2003.Denny C. Davis, Washington State University Dr. Davis is Professor of Bioengineering and Director of the Engineering Education Research Center at Washington State University. He has led numerous multidisciplinary research projects to enhance engi- neering education. He currently leads projects creating
AC 2011-2548: NSF GRANTEE PRESENTATION: CHALLENGES OF IM-PLEMENTING A PEER MENTORING PROGRAM TO SUPPORT STEMLEARNINGFarrokh Attarzadeh, University of Houston Farrokh Attarzedeh earned his Ph.D. in Electrical Engineering from the University of Houston in 1983. He is an associate professor in the Engineering Technology Department, College of Technology at the University of Houston. He teaches software programming and is in charge of the senior project course in the Computer Engineering Technology Program. He is a member of ASEE and has been with the University of Houston since 1983. Dr. Attarzadeh may be reached at FAttarzadeh@central.uh.eduDeniz Gurkan, University of Houston Deniz Gurkan received her B.S. (1996) and
AC 2011-2262: THE EFFECTIVENESS OF STUDENTS’ DAILY REFLEC-TIONS ON LEARNING IN AN ENGINEERING CONTEXTMuhsin Menekse, Arizona State University Muhsin Menekse is pursuing a doctoral degree (PhD) in the Science Education program at Arizona State University concurrently with a MA degree in Measurement, Statistics and Methodological Studies. He had research experiences in the areas of conceptual change of nave ideas about science, argumentation in computer supported learning environments, and video game design to support students’ understanding of Newtonian mechanics. Muhsin is currently working under the supervision of Dr. Michelene Chi to develop and implement a classroom-based methodology with instructional materials
difficulty (p), has a [minimum, maximum] rangeof [0, 1], where 0 = difficult and 1 = easy. It is computed as follows. After the administrationand scoring, the upper and lower 27½% are determined. p is defined as the proportion ofexaminees obtaining the item correct from the upper and lower groups. In order to ensuremaximum item discrimination (i.e., the assumption that students in the upper group should havea greater probability of endorsing the item correctly than the students in the lower group), p wasclose to 0.5 as it should be.Another psychometric characteristic, item discrimination (d) is a property that indicates an item‟sability to differentiate between an examinee who has learned the material, versus an examineewho either has not learned
Simulation of an Industrial Process. Comput. Appl. Eng. Educ. 9, 180-91.9. Harmon, T.C., Burks, G.A., Giron, J.J., Wong, W., Chung, G.K.W.K., & Baker, E. (2002). An Interactive Database Supporting Virtual Fieldwork in an Environmental Engineering Design Project. J. Eng. Edu., 91, 167-176.10. Richardson, J., Adamo-Villani, N., Carpenter, E. & Moore, G. (2006). Designing and Implementing a Virtual 3D Microcontroller Laboratory Environment. 36th ASEE/IEEE Frontiers in Education Conference Proceedings.11. Chung, G.K.W.K., Harmon, T.C., & Baker, E. (2001). The Impact of a Simulation-Based Learning Design Project on Student Learning,” IEEE Trans. Educ., 44, 390-398.12. Campbell, J., Bourne, J., Mosterman, P., & Brodersen, A
AC 2011-2122: DEVELOPMENT OF NOVEL LEARNING MATERIALSFOR GREEN ENERGY EDUCATION CENTERED AROUND A PHOTO-VOLTAIC (PV) TEST STATIONHirak C Patangia, University of Arkansas, Little Rock Dr. Hirak Patangia is a Professor of Electronics and Computer in the College of Engineering and In- formation Technology at the University of Arkansas-Little Rock.He has served the University in various administrative positions including interim dean, associate dean, and department chair before returning to full-time teaching and research.He is a strong proponent of undergraduate research and many of his pub- lications include undergraduates as coauthors..With NSF funding, he developed a project based freshman engineering course for
: Balancing Cost, Schedule and Risk - Lessons Learned from the Space Shuttle (Cambridge University Press). He received his Ph.D. from The Johns Hopkins University in Operations Research and the BSEE from the University of Cincinnati. He is an ASEE Fellow.Mary E. Besterfield-Sacre, University of Pittsburgh Mary Besterfield-Sacre is an Associate Professor and Fulton C. Noss Faculty Fellow in Department of Industrial Engineering, a Center Associate for the Learning Research and Development Center, and the Director for the Engineering Education Research Center at the University of Pittsburgh. Her principal research is in engineering education assessment, which has been funded by the NSF, Department of Edu- cation, Sloan
AC 2011-197: ESTABLISHMENT OF AN INTEGRATED LEARNING EN-VIRONMENT FOR ADVANCED ENERGY STORAGE SYSTEMS: SUP-PORTING THE SUSTAINABLE ENERGY DEVELOPMENTY. Gene Liao, Wayne State University Y. Gene Liao received the BSME from National Central University, Taiwan, Mechanical Engineer from Columbia University, and Doctor of Engineering from the University of Michigan, Ann Arbor. He is cur- rently an Associate Professor at Wayne State University. He has over 15 years of industrial practices in the automotive sector prior to becoming a faculty member. Dr. Liao has research and teaching interests in the areas of multi-body dynamics, hybrid vehicle powertrain, and CAE applications in products development and manufacturing
toward computer-based and textbook-based problems. Finally, we analyzed retention and performancestatistics for students in the two groups, comparing them to baseline data, and looking fordifferences in the experimental and control groups including those related to gender andrace. This paper offers an overview of our research questions and methods, and apreliminary report of our outcomes and findings.Research QuestionsWe started with three main research questions:1. Can integrating interactive learning tools into a foundational Statics course foster andsustain engagement in engineering among women and URMS?2. Can interactive learning tools increase representation of women and URMs inengineering majors?3. Can software environments: • be
student’spreferences for teaching and learning and the student’s opinion of their learning gains produced anumber of interesting results. Only twelve of the nineteen students elected to complete the finalsurveys. Examples from the from the survey where nine or more students strongly agreeing onteaching and learning methods suggested that the students benefited from communicating aboutenvironmental engineering and sustainability with group members, class discussions led by the Page 22.848.9professor, and use of electronic resources and computers for research. The students also strongly
interventions and engineering problem-solving in a well-balanced engagementand learning process, and the other two with a brief outline of the setup and pertinent engineeringprinciples.Escape: Designed from a first-person perspective, the game starts in a dark room where theplayer character wakes up and realizes that he is locked in the classroom (Fig. 3 (a)). While he isseeking a way out (e.g., typing the door key), a talking computer in the room asks him to conductseveral DC circuit analyses to be able to retrieve the correct door code (Fig. 3(b)). Meantime, thetalking computer provides some design guidance in a road map as seen in Fig. 1, showing thekey DC circuit fundamentals. The road map can then be deactivated and re-activated through themenu
Page 22.504.6 3. Learn FPGA design flow using Altera’s Quartus® II development software 4. Gain FPGA design experience by synthesizing, mapping, and placing and routing a given design on Altera’s DE2 FPGA evaluation board 5. Work in groups of two or three and thereby learn how to cooperate in teams 6. Learn to document their resultsThe designs are carried out using modern computer-aided design (CAD) tools, and the Altera’sQuartus® II development software [2]. The final systems will be implemented with state of the artdevices such as the Altera FPGA device family and micro-controllers. Altera’s DE2 evaluationboards will be used as the target platforms.Course StructureThe course “Topics in Programmable Logic” is three credit hours
3 Representative Learning Community Topics and Activities student teams ran around campus finding as many sensors Sensors in the Wild as they could in 20 minutes, emailing photos back to a central email account to review with everyone in the TLP topics have included how electrical, computer, and systems engineering are used to created cutting TLP Industry speakers technologies seen on shows like CSI and to develop collision avoidance systems for airplanes topics have included conflict management activities, the Leadership/Teamwork
collaborative groups, and supported by conceptually contained data,visuals, audio, and information from the iPod Touch, will lead to specific improvements inoutcomes for students.The support of classroom environments with computer technology is not new, nor is the idea thatdistributed cognition improves learning. However, the combination of a collaborativeenvironment with a multi-touch, multi-functional, group “personalizable” device affords newopportunities to stimulate cognitive development to enhance student outcomes. The devices arepopular with students and the multi-touch features in the interface are easy to use, so the barriersbetween the use of the device and students are negligible. The applications written for the iPodTouch make it easy for
thathave been embedded in a junior-level thermo-fluids laboratory course in the mechanicalengineering curriculum. Four physical experiments in the thermo-fluids laboratory course havebeen transformed into corresponding virtual experiments using modeling, simulation andvisualization.Convergence of several interrelated factors such as recent developments in computer and Internettechnologies and their impact on students’ learning styles, changing student demographics, andemergence of cyber laboratory infrastructure as a cost-effective alternative to physicallaboratories has catapulted virtual laboratories as a topic of critical importance to the engineeringeducation enterprise. The learning style of a large percentage of engineering students has
Report, URL:http://www.sme.org/[20] Miller, S & Miller, K, 1999, “Using Instructional Theory to FacilitateCommunication in Web-based Courses,” Educational Technology & Society, Vol. 2(3),pp. 106-114 Page 22.501.14 13[21] Althaus, S. L., 1997, “Computer-mediated communication in the universityclassroom: An experiment with online discussions. Communication Education, Vol. 46,pp. 158-174[22] Connick, G. P., 1997, “Issues and trends to take us into the twenty-first century,” InT. E. Cyrs (Ed.) Teaching and Learning at a Distance: What it Takes to EffectivelyDesign, Deliver and Evaluate Programs: No. 71. New
learnfrom the similar cases through effective media is critical to avoid repeating the mistakes.Based on the case-based and problem-based learning theory, the authors explored using 3Dcomputer simulation of failure cases to help construction engineering and management studentsto develop a better understand of the dynamics between design and construction. In this study, acase about a high-rise residential building was used. The building collapsed due to many factors,such as improper construction sequence, poor selection of staging area, bad weather, and lack ofshoring of foundation wall. Through this case, computer simulation illustrated the interactions ofelements of different systems, including building, nature and the social-economic system
CCLI project, seeks to improve undergraduate learning by developing small-scale, portableexperiments for inclusion into a wide selection of Electrical and Computer Engineering (ECE)lecture-based courses. Since these courses currently do not have labs associated with them, theseexperiments add a hands-on active learning component to the courses. The labs developed aspart of this project include ones for digital logic, circuits, signals and systems, control systems,power generation, random processes, and electromagnetics. The labs are described in this paperalong with the web support. Best practices and assessment methods are also discussed.IntroductionDistributed laboratories contain portable experiments that can be done in various locations
AC 2011-1800: ADMINISTERING A DIGITAL LOGIC CONCEPT INVEN-TORY AT MULTIPLE INSTITUTIONSGeoffrey L. Herman, University of Illinois at Urbana-Champaign Geoffrey L. Herman is a PhD Candidate in Electrical and Computer Engineering and a Mavis Future Faculty Fellow at the University of Illinois at Urbana-Champaign. His research interests include cogni- tive science, identifying and assessing common student misconceptions and difficulties in electrical and computer engineering topics, blended learning (integrating online teaching tools into the classroom), in- telligent tutoring systems, and music signal processing. He is a winner of the 2011 Educational Research and Methods Division Apprentice Faculty Grant. He has been
learning environments. Thesetechniques include handheld wireless transmitters in Personal Response Systems (PRS),10various forms of computer-mediated collaborative problem solving,11 and the use of wirelessTablet PC technology.12,13Tablet PCs are essentially laptop computers that have the added functionality of simulating paperand pencil by allowing the user to use a stylus and write directly on the computer screen to createelectronic documents that can be easily edited using commonly available computer applications.This functionality makes Tablet PCs more suitable than laptop computers in solving andanalyzing problems that require sketches, diagrams, and mathematical formulas. Combined withwireless networking technology, Tablet PCs have the
and the engineering profession,” International Journal of Engineering Education 18 (3): 295–300, 2002.[8] Lattuca, L.R., P.T. Terenzini, J.F. Volkwein, and G.D. Peterson, “The changing face of engineering education,” The Bridge 36 (2):6–44, 2006.[9] Bransford, J.D., Brown, A.L. and Cocking, R.R, “How People Learn: Brain, Mind, Experience, and Page 22.939.14 School,” Washington DC: National Academy Press, 1999.[10] Interactive Digital Software Association, “Essential Facts about The Computer and Video Game Industry”, http://my.tapwave.com/developers/docs/IDSABooklet.pdf, 2002.[11] Sanderson, A., Millard, D