Engineering, Introduction to Electrical and Computer Engineering, Logic Systems I, and Electronics Laboratory. Her passions and research interests include robotics, educa- tion, cognitive science, early childhood education developmental tools, adaptive and assistive technologies for developmentally disabled persons, and visualization research.Ms. Nabila A. Bousaba, University of North Carolina, Charlotte Nabila (Nan) BouSaba is a faculty associate with the Electrical and Computer Engineering Department at the University of North Carolina at Charlotte since 2008; she is the senior design instructor for the department, courses taught include Basic Circuit for non- majors, and Technology Innovation and En- trepreneurship
, and testing takeplace in the laboratory. Grades are assigned for each major deliverable. Milestone-based writtenprogress reports and interviews are conducted throughout the semester to ascertain the diligenceand relative contributions of each design group member.3. The Project DescriptionIn this project, a control and wireless communication system is designed and built to remotelycontrol a mobile robot, iRobot. The sensor information gathered from the onboard sensors of therobot is displayed on the terminal computer. A mini 5-way digital onboard joystick is employedto drive the iRobot. The iRobot equipped with sensors and wireless communication componentsis illustrated in Figure1. Figure 1 The iRobot equipped with sensors and
are assessed can matter more than how they are taught; students decidewhat to learn based mostly on how they are assessed and whether they are given opportunities torespond to feedback from those assessments 11 . Laboratory studies have shown that learning andretention of knowledge is enhanced through retrieval practice that incorporates feedback 16;23 ,increased use of formative assessment 7 , and distributed practice 6;21 .Computerized testing centers were developed to reduce the overhead of running exams even inlarge (200+ student) classes, to make it easier to perform assessment in a fashion that positivelyimpacts education. In the three courses discussed in this paper (Intro. Statics, Intro. Dynamics,and Intro. Solid Mechanics), shorter
. C. & Mayer, R. E., e-Learning and the Science of Instruction, Hoboken, NJ: John Wiley & Sons, Inc., 2016.9. Mager, R., Preparing instructional objectives: A critical tool in the development of effective instruction, 3rd Edition, Atlanta, GA: Center for Effective Performance, 1997.10. Marzano, R., Designing and teaching learning goals and objectives: classroom strategies that work, Bloomington, IN: Marzano Research Laboratory, 2009.11. Davis, B.G., Tools for Teaching, 2nd Edition, San Francisco, CA: John Wiley & Sons, 2009.12. Ressler, S.J., Welch R.W., and Meyer, K.F., “Teaching Lessons Learned: Organizing and Delivering Classroom Instruction,” ASCE J. Professional Issues in Engineering Education and Practice, 130
programs are morepopular at the graduate level for a number of reasons. First, online graduate programs are moreaccessible and flexible for the needs of the audience.10 Secondly, graduate courses typically arenot as heavily laboratory-based as undergraduate programs, requiring less in-personeducation.11-12 Third, while undergraduate education is typically accredited by organizations suchas ABET, master’s programs are typically not accredited, allowing universities more flexibilityin offering some graduate courses online.12Additionally, looking at online enrollment by degree program reveals some interesting trends. A2013 study by Pontes and Pontes indicated that students enrolled in engineering are significantlyless likely to be enrolled in
. c American Society for Engineering Education, 2016 A Low-Cost Robot Positioning System for a First-Year Engineering Cornerstone Design ProjectAbstractResearchers in autonomous robotic design have leveraged a variety of technologies to simulatethe Global Positioning System (GPS) on a smaller laboratory or commercial scale. In the interestof cost and accuracy, a system was developed for The Ohio State University Fundamentals ofEngineering for Honors (FEH) Program's "Cornerstone" Design Project. The system utilizes highdefinition commercial web cameras to accurately simulate a GPS for the autonomous robotscreated by students.For the past 21 years The Ohio State University has provided a "Cornerstone" Design
. Balamuralithara & P.C. Woods. Virtual laboratories in engineering education: The simulation laband remote lab. Computer Applications in Engineering Education, 17(1), 108-118. 2009. Page 26.1133.13 Appendix Figure 4. Medical and Biomedical Education Digital Technology in Engineering Education Figure 5. Higher Education Research Instructional Technology Medical and Biomedical Education E−LearningFigure 6. International BLEE Metacognition, Motivation
education,. In: Proceedings of the IEEE Educon Conference, Berlin: 13. – 15.March 2012.[3] Malkawi, S., Al-Ariadah, O.: Students‘ assessment of interactive distance experimentation in nuclear reactorphysics laboratory education. In: European Journal of Engineering Education, Vol. 38, No. 5, pp. 512 – 518.(2013).[4] Witmer, B.G.; und Singer, M.J.: Measuring Presence in Virtual Environments: A Presence Questionnaire, In:Presence: Teleoperators and Virtual Environments, Vol. 7, Nr. 3, pp. 225 – 240. (1998)[5] Zimbardo, P.G., Gerrig, R. J.: Psychologie, 7th Edition. Berlin, Heidelberg, New York: Springer (2003)[6] Sweller, J.: Element Interactivity and Intrinsic, Extranous, and Germane Cognitive Load. EducationalPsychology Review, 22 (2), S. 123 – 138
: DataExplorer and Assessment Resources for Faculty.References1 Hestenes, David, and Halloun, Ibrahim. "Interpreting the force concept inventory." The Physics Teacher 33.8, 1995, pp 502-506.a2 Thornton, Ronald K., and Sokoloff, David R. "Assessing student learning of Newton’s laws: The force and motion conceptual evaluation and the evaluation of active learning laboratory and lecture curricula." American Journal of Physics 66.4, 1998, pp 338-352.3 Ding, Lin, et al. "Evaluating an electricity and magnetism assessment tool: Brief electricity and magnetism assessment." Physical review special Topics-Physics education research 2.1, 2006.4 Keininger, Thomas G., “Table structure recognition based on robust block
teaching programming using SLA was helpful to their learning. Students whohave a second language learning experience especially confirmed this during the interview.Students indicated more engagement with the online interactive video, compared to the topicsthat were presented in a traditional non-interactive format. The captions in the videos helpstudents understand the specific terms. Music does not play an important role in the videodesign. They pointed out that the tiered examples in the videos and tiered quiz questions easedtheir anxiousness and helped their comprehension of the materials. Students expressed a desire toflip all topics to SLA-aBLe format. Students also commented on the laboratory sessions,indicating that the “think, pair, share
, IEEE Computer Society, and the Web3D Consortium. He is a co-author of the international standard (ISO) Extensible 3D (X3D), elected Director and President of the Web3D Consor- tium, and Chair of the Web3D User Interface Working Group.Prof. R. Michael Buehrer, Virginia Polytechnic Institute and State University Dr. R. Michael Buehrer joined Virginia Tech from Bell Labs as an Assistant Professor with the Bradley Department of Electrical and Computer Engineering in 2001. He is currently a Professor of Electrical Engineering and is the director of Wireless @ Virginia Tech, a comprehensive research group focusing on wireless communications. During 2009 Dr. Buehrer was a visiting researcher at the Laboratory for
experimental group were asked to use the Automation andVisualization Laboratory (AV Lab) from the School of Engineering. The AV Lab is equippedwith a variety of visualization solutions, on the group or individual level. For large groups, theAV lab is equipped with an 18’ HoyluTM Huddlewall projection system designed to facilitateintegrated and high-performing teams in performing design and problem-solving processes, seeFig. 1. For individuals and smaller groups, the AV lab is equipped with high definition virtualreality and augmented reality headsets, such as the Oculus Rift, HTC Vive, and HoloLens. TheHoyluTM Huddlewall is capable of projecting students’ handwritten work. The system usescamera-enabled pens and paper with a pixelated pattern
at the Harvard Graduate School of Education: http://pzweb.harvard.edu/.10. International Science Olympiads: http://olympiads.win.tue.nl/.11. National Engineering Aptitude Search (NEAS): http://www.jets.org/programs/neas.cfm .12. Barrett, J. (2003) The Aptitude Test Workbook, Paperback.13. D. Ahlgren. “New Directions in Fire-Fighting Robotics.” Presented at ASEE Annual Conference, Portland, June, 2005.14. I. Verner and D. Ahlgren, “Robot Contest as a Laboratory for Experiential Engineering Education,” ACM's Journal on Educational Resources in Computing (JERIC). Special Issue on Robotics in Undergraduate Education, Part 1, 4(2), 2-28.15. C. Stein, “Autonomous Students Engineering Autonomous Robots.” In Proceedings of the ASEE
the ACM Special Interest Group in Computer ScienceEducation Conference (SIGCSE ’06), 2006, 562 – 563.[9] Roberts, Eric. An Overview of MiniJava. In Proceedings of the ACM Special Interest Group in ComputerScience Education Conference (SIGCSE ’01), 2001, 1 – 5.[10] Southwest Educational Development Laboratory. The Practice Implications of Constructivism. SEDLetter, Vol.IX, Issue 3, August, 1996.[11] Turner, Joseph A. and Zachary, Joseph L. Using Course-Long Programming Projects in CS2. In Proceedings ofthe ACM Special Interest Group in Computer Science Education Conference (SIGCSE ‘99), 1999, 43 – 47.[12] Vegso, J. “Drop in CS Bachelor’s Degree Production”, Computing Research News, 18(2), March, 2006,http://www.cra.org/CRN/articles/march06
University. Dr. Smith’s work experience includes being a contract employee at AT&T Bell Lab- oratories, performing surveying work for the Jackson Electric Membership Corporation, and summer internships at the Atlanta Gas Light Company and Sandia National Laboratories. In addition to Georgia Southern, he has taught at Texas A&M, Prairie View A&M and Tuskegee Universities. His research inter- ests include fuzzy logic, control system design and intelligent systems. He is a member of ASME, ACM, ASEE, Tau Beta Pi and Pi Tau Sigma. Page 23.531.1 c American Society for Engineering
remainder of this paper will describe this course. The next two sections will highlight theteaching strategies adopted. These will be followed by sections that provide examples ofassignments and projects used to develop a student’s skill at developing automation applications.Finally summaries of challenges and potential future improvements to this course will beprovided.Course OverviewSince WWU operates on the quarter system, courses are scheduled over a 10 week period. As afour credit offering the CAD Automation class meets for two 3 hour periods in the department’sCAD laboratory. The size of the lab caps enrollment at 25 students. This adequately meets thedemand for the CAD/CAM program while providing space for students in other programswishing
% of Grade Preparation Assignments 10% Application Assignments 20% Laboratory Assignments 21% Journals 3% Design Project 5% Extra Weekly Assignments 3% BONUS Quizzes 6% Midterm Exams 20% Final Exam 15%There were 13 total class sections of this course made up by 11 standard sections, 1 advancedprogramming section, and 1
with accessibility devicesfor the blind.After the current fall class of students finished the chapters in the textbook directly associatedwith Boolean Algebra, they were given a laboratory exercise using this program. After the usualstartup problems like getting Python correctly installed on their computers, they typed in sixBoolean Algebra expressions and noted their results. One comment we didn't expect was, “Wow,this program is awesome! Why didn't we have this program during those earlier chapters?” Othercommon comments were: 1) Where's the Help for this program? (mostly done) 2) Could the program gracefully exit and show an error message instead of crashing? (being worked on
] T. A. Finholt and G. M. Olson, “From laboratories to collaboratories: A new organizational form for scientific collaboration,” Psychological Science, vol. 8, no. 1, p. 28, 1997.[25] M. Bhandarkar et al., “BioCoRE: A collaboratory for structural biology,” Biochemistry, pp. 242–251, 1999.[26] C. P. Lee, P. Dourish, and G. Mark, “The human infrastructure of cyberinfrastructure,” in Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work, 2006, pp. 483–492.[27] S. Lu and J. Zhang, “Collaborative scientific workflows,” in Web Services, 2009. ICWS 2009. IEEE International Conference on, 2009, pp. 527–534
.," Laptops in psychology: Conducting flexible in-class research and writing laboratories", New directions for teaching and learning Vol. 2005, No. 101, 2005, pp. 15-26.16 Fitch, J.," Student feedback in the college classroom: A technology solution", Educational Technology Research and Development Vol. 52, No. 1, 2004, pp. 71-77.17 Mazur, E., Peer Instruction: a user’s manual, Englewood Cliffs, NJ: Prentice Hall, 1997.18 Crouch, C.H., and E. Mazur," Peer Instruction: Ten years of experience and results", A merican Journal of Physics Vol. 69, 2001, pp. 970-977.19 Hake, R.R., "Design-Based Research in Physics Education Research: A Review", Handbook of Design Research Methods in Mathematics, Science, and Technology Education: Erlbaum
, 2008. Accessed on January 21, 2009 from http://www.ceen.unomaha.edu/TekBots/SPIRIT2/Reports/. 5. Heer, R.L., Traylor, T.T., Fiez, T.S. “Enhancing the Freshman and Sophomore ECE Student Experience Using a Platform for Learning. IEEE Transactions on Education”, 46(4), November 2003. 6. Smith, A., Heer D., Traylor, T., Fiez, T.S. “A Custom Microcontroller System used as a platform for learning in ECE”, ASEE 2004 7. Liu, Y. “From Handy Board to VEX: The Evolution of a Junior-Level Robotics Laboratory Course”, ASEE 2009. 8. Berry, C. “Mobile Robotics: A Tool for Application-Based Integration of Multidisciplinary Undergraduate Concepts and Research”, ASEE 2010
islimited in courses. Certainly, example solutions can be made available for students to reviewoutside of class. But, using screencasts, the students can watch the progression of the examplesolutions while listening to recorded explanatory audio comments, and this provides advantagesin limiting misunderstandings.Another topic discussed is use of screencasts to allow students in a distance learning Page 15.442.2environment to observe laboratory demonstrations.BackgroundScreen capturing software, such as Camtasia Studio1, supplied by TechSmith Corporation, is auseful tool for easily creating video recordings using a standard tablet pc. All activity
, presentedearlier by Spanias et al2-3.This paper is organized as follows. First, the various features are explained briefly along withtheir mathematical description. The simulated results obtained from J-DSP are then given.Finally, a set of on-line laboratory tutorials and exercises is developed to review these concepts.Feature ExtractionThe features can be broadly classified into two categories – global descriptors and instantaneousdescriptors. In the former, the feature is calculated for the entire signal as a whole. The latter Page 15.131.3features are calculated for each frame obtained by segmenting the given signal. In this paper, weare interested in
Remote Laboratory to Enhance Engineering Technology Education”, American Society for Engineering Education Annual Conference, Vancouver, B.C. Canada, June 2011.7. Goeser, P.T., Flett, A., Kriske, J. and Panter, C. “MatLab Marina: Web-Based Tutorials for Teaching Programming Concepts using MATLAB”, American Society for Engineering Education Southeastern Section Annual Conference, Starkville, MS, April 2012.8. Gottfried, B.S., “Teaching Computer Programming Effectively Using Active Learning”, American Society for Engineering Education Annual Conference, Milwaukee, WI, June 1997.9. Chyung, S.Y., Moll, A., Marx, B., Frary, M. and Callahan, J., “Improving Engineering Student’s Cognitive
.). Page 23.1396.8 Figure 4. Partially Expanded node of Chapter 2 (Laplace and Modeling Review) with Equations Figure 5. Partially Expanded node of Chapter 4 (Time Response) with Equations Additionally, a Wiki to support programming activities using the MCU is hosted (e.g., athttp://matlab-nsfwiki.csc.tntech.edu/) and contains the following content: 1) Labs (including an introductory laboratory on the toolkit and Matlab toolbox) 2) Help files 3) Pre-labs (including pages on pre-requisite programming constructs, such as I/O, decision-making (if/else or switch), loops (for, while) and arrays) 4
Department. Her current research interests focus on technology in engineering education, human com- puter interaction, educational data mining, and scientific visualization.Dr. Christopher B. Williams, Virginia Tech Professor Dr. Chris Williams is an assistant professor with a joint appointment with the Department of Mechanical Engineering and the Department of Engineering Education at Virginia Tech. He is the director of the Design, Research, and Education for Additive Manufacturing Systems (DREAMS) Laboratory and the co-director of Virginia Tech’s Center for Innovation-based Manufacturing. His joint appointment reflects his diverse research interests in Additive Manufacturing (3D Printing), design methodology, and
frequent topics from 2006-2010. Topic (text Concepts Example Abstract Text Segment segments) An immersive interactive laboratory experiment devel- oped based on a multi-player computer game engine, Interactive, learn- which allows the students to collaboratively assemble the 1.Interactive ing, virtual, envi- experimental setup of an industrial plant emulator within (n=33) ronment the game environment and subsequently run remote and virtual experiments, was deployed in a pilot implemen
, renewable energy, fundamental heat transfer, and engineering education. Before joining academia, Heather Dillon worked for the Pacific Northwest National Laboratory (PNNL) as a senior research engineer.Dr. Andrew M. Nuxoll, University of Portland Andrew began his career as a software engineer. Lately (since 2007) he has been teaching computer science at the University of Portland. He is an active researcher in artificial general intelligence and computer science pedagogy. He also loves playing bridge and being outdoors.Dr. Nicole C. Ralston, University of Portland Dr. Nicole Ralston is an Assistant Professor and co-Director of the Multnomah County Partnership for Education Research (MCPER) in the School of Education at
estimation theory. Andrew worked as a postdoctoral researcher at the Centre for Mechatronics and Hybrid Technology (Hamilton, Ontario, Canada). He also worked as a Project Manager in the pharma- ceutical industry (Apotex Inc.) for three years. Before joining the University of Guelph in 2016, he was an Assistant Professor in the Department of Mechanical Engineering at the University of Maryland, Balti- more County. Andrew worked with a number of colleagues in NASA, the US Army Research Laboratory (ARL), USDA, NIST, and the Maryland Department of the Environment (MDE). He is an ASME and IEEE member, and a Professional Engineer. Andrew was an Associate Editor for the Transactions of the Canadian Society for Mechanical
Wayne State University in 1984. From 1977 through 1986, as a member of Ford Motor Co. Research Staff, his development of automotive sensor and embedded system technology resulted in large volume commercial sensor© American Society for Engineering Education, 2007 production. At Ford, he also developed the first spectroscopies based on scanning tunneling microscopy. From 1986 through 1994, at the Jet Propulsion Laboratory, Dr. Kaiser developed and demonstrated the first electron tunnel sensors for acceleration and infrared detection and initiated the NASA/JPL microinstrument program. In 1994, Professor Kaiser joined the faculty of the UCLA Electrical Engineering Department. At