Paper ID #6586Enhancing Student Comprehension with Video GradingDr. Walter W Schilling Jr., Milwaukee School of Engineering Walter Schilling is an assistant professor in the Software Engineering program at the Milwaukee School of Engineering in Milwaukee, Wis. He received his B.S.E.E. from Ohio Northern University and M.S.E.S.and Ph.D. from the University of Toledo. He worked for Ford Motor Company and Visteon as an embedded software engineer for several years prior to returning for doctoral work. He has spent time at NASA Glenn Research Center in Cleveland, Ohio, and consulted for multiple embedded systems companies in
Paper ID #7013On Adopting an Inquiry Stance: A Case Study of Three Teachers as They In-tegrated the InterLACE Technology to Encourage Student Sharing and Rea-soningMs. Danielle Marie Dowling, Tufts Center for Engineering Education and OutreachDr. Morgan M Hynes, Arizona State University Dr. Morgan Hynes is a research faculty associate at Arizona State University conducting research on the impact of product archaeology dissection activities on students’ knowledge and abilities to engineer in broader contexts. Before joining ASU, Hynes was a research assistant professor in the Education Depart- ment and Education Research Program
Paper ID #7753Enhancing K-12 Education with Engineering OutreachDr. Cheryl D. Seals, Auburn University Dr. Cheryl Seals is an associate professor in Auburn University’s Department of Computer Science and Software Engineering. She graduated with a B.S. C.S. from Grambling State University, M.S. C.S. from North Carolina A&T State University and a Ph.D. C.S. from Virginia Tech. Seals conducts research in Human Computer Interaction with an emphasis in visual programming of educational simulations, user interface design and evaluation, and educational gaming technologies. Dr. Seals also works with computing outreach
Page 23.1396.11year. Bibliography[1] Canfield, S. L, and Abdelrahman, M. A., 2009, “Enhancing the Programming Experience for Engineering Students through Hands-on Integrated Computer Experiences” Proceedings of the 2009 ASEE Southeastern Section Annual Conference, Marietta, GA, April.[2] National Academy of Sciences. 2012, "Undergraduate science and engineering teaching needs improvement." ScienceDaily (21 May 2012. Web. 29 May 2012).[3] Bransford, J. D., Brown, A., & Cocking, R., 2000, How People Learn: Mind, Brain, Experience and School, Expanded Edition, Washington, DC: National Academy Press.[4] Committee on How People Learn, A Targeted Report for Teachers, How Students Learn: History, Mathematics, and Science in the
driving, the greater use of video in engineeringeducation. Among these are:a. Incoming millennial generation college students are typically technologically savvy and havehigh expectations of using Web 2.0 technologies1b. Engineering students are overwhelmingly 'visual' learners2c. Recorded lectures gives students the option to replay the video as many times as they need toclarify concepts they missed in the classroom; a feature that was used and appreciated by thestudents most often, and has made the most positive impact in students’ minds about the use ofvideo in engineering education3d. Exponential growth of smartphone adoption in the U.S. and many other countries meansrecorded video - made available as vodcasts (video podcasts or compressed
Paper ID #7731Work-in-Progress: DSP education through web-based selective concept re-trievalMr. Gregory Augustus Krudysz, Georgia Institute of Technology Gregory A. Krudysz is a Ph.D student in the School of Electrical Engineering at Georgia Institute of Technology, Atlanta, Ga. His interests are in learning, DSP education, and intelligent tutoring systems. Currently, he is developing an educational research platform which has been deployed in the ”Introduction to DSP” course at Georgia Tech. Page 23.1392.1
Paper ID #7820Work-in-progress: A novel approach to collaborative learning in engineeringprogramsDr. Neelam Soundarajan, Ohio State University Dr. Soundarajan is an associate professor in the Computer Science and Engineering Department at Ohio State. His interests include software engineering and engineering education. Page 23.1391.1 c American Society for Engineering Education, 2013 Work-in-Progress: A Novel Approach to Collaborative Learning in Engineering
Page 23.1395.12 and Affective Preparedness with a Pre-Instructional E-Learning Strategy”, Advances in Engineering Education, A Journal of Engineering Education Applications, Spring 2010, Vol. 2 Issue 1. ASEE 2013 Annual Conference10. Bransford, J.D., A. L.Brown, and R. R.Cocking, eds. “How People Learn: Brain, Mind, Experience, and School: Expanded Edition”. 2000, National Academy Press: Washington DC.11. MatLab Marina, http://engineering.armstrong.edu/priya/matlabmarina/main.html12. TechSmith Corporation, http://www.techsmith.com/13. NaturalSoft Limited, http://www.naturalreaders.com/index.htm14. Sun, W. and Sun, X., “Teaching Computer Programming Skills to Engineering and Technology
for MATLAB. Online: http://www.mindstorms.rwth-aachen.de/. 6. Behrens, A., Atorf, L., and Aach, T. 2010. “Teaching Practical Engineering for Freshman Students Using the RWTH - Mindstorms NXT Toolbox for MATLAB.” In Matlab-Modelling, Programming and Simulations. Pereira Leite, E. (ed.). 41—65. InTech. ISBN 978-953-307-125-1. 7. Yakubov, N., et al. 2005. “Integration of Real-Time Sensor Based Experiments in High School Science Labs: A GK-12 Project.” Proc. Amer. Soc. Eng. Ed. Session 1510. Portland, OR. 8. NRC. 2000. How People Learn: Brain, Mind, Experience, and School. Bransford, J.D., Brown, A.L., and Cocking, R.R. (eds.). National Research Council (NRC). Washington, DC: National Academy Press
that you will face in the real world. Learning how to figure out what information is important, how to frame a problem, what simplifications are needed, and what still needs to be learned are critical to your success in engineering. The good news: research shows that you can develop this deeper understanding through collaborating with peers to better understand and innovate solutions to real-‐world problems. I hope you take full advantage of this way of learning in EGR 270 to be creative, have fun and expand your mind. What Will You Learn in EGR 270? EGR 270 has three intended learning outcomes. The first focuses on learning
Paper ID #6375Using Mixed Mobile Computing Devices for Real-Time Formative Assess-mentProf. Frank V Kowalski, Colorado School of Mines Prof. Frank Kowalski has been teaching physics at Colorado School of Mines since 1980.Susan E. Kowalski, Colorado School of Mines Susan Kowalski is project coordinator at Colorado School of Mines.Dr. Tracy Q Gardner, Colorado School of Mines Page 23.1328.1 c American Society for Engineering Education, 2013 Using Mixed Mobile Computing Devices for
Paper ID #7330An Inexpensive Approach for Teaching Adaptive Filters Using Real-TimeDSP on a New Hardware PlatformMr. Michael G. Morrow, University of Wisconsin-Madison Michael G. Morrow, M.Eng.E.E., P.E., is a faculty associate in the Electrical and Computer Engineering Department at the University of Wisconsin-Madison. He previously taught at Boise State University and the U.S. Naval Academy. He is the founder and president of Educational DSP (eDSP), LLC, developing affordable DSP education solutions. He is a senior member of the IEEE and a member of the American Society for Engineering Education (ASEE).Dr. Cameron H. G
Paper ID #6979Student Attention in Unstructured-Use, Computer-Infused ClassroomsMahnas Jean Mohammadi-Aragh, Virginia Tech Jean Mohammadi-Aragh is a Ph.D. candidate and dean’s teaching fellow in Virginia Tech’s Engineer- ing Education Department. Prior to joining the Engineering Education Department, Mohammadi-Aragh earned her B.S. in 2002 and her M.S. in 2004 in Computer Engineering at Mississippi State University. Mohammadi-Aragh was a scientific visualization and virtual reality researcher for the Geosystems Re- search Institute, and outreach coordinator for Mississippi State’s Electrical and Computer Engineering
] Kurt VanLehn. The relative effectiveness of human tutoring, intelligent tutoring systems, and other tutoring systems. Educational Psychologist, 46(4):197–221, 2011.[78] Matthew Alan Verleger. Analysis of an informed peer review matching algorithm and its impact on stu- dent work on model-eliciting activities. Dissertation, Purdue University, December 2009. URL http: //proquest.umi.com/pqdlink?did=2056269091&Fmt=7&clientId=1652&RQT=309&VName=PQD.[79] L.S. Vygotsky. Mind and society: The development of higher mental processes. Cambridge, MA: Harvard University Press, 1978.[80] N. Warter-Perez and J. Dong. Flipping the classroom: How to embed inquiry and design projects into a digital engineering lecture. In
Paper ID #7034Evaluation of the VTEXT Electronic Textbook FrameworkJohn Oliver Cristy, Virginia TechProf. Joseph G. Tront, Virginia Tech Page 23.555.1 c American Society for Engineering Education, 2013 Evaluation of the VText Electronic Textbook FrameworkAbstractElectronic textbooks improve upon e-books in that they provide the user with the ability to gobeyond just reading material on a computer screen. E-textbooks provide students with all of theabilities provided by a hardcopy text, but also add many functions only
Paper ID #7305Translating Educational Theory Into Educational Software: A Case Study ofthe Adaptive Map ProjectJacob P. Moore, Virginia Tech Jacob Moore is a PhD Candidate in the Department of Engineering Education at Virginia Tech.Michel Paul Pascale Michel Pascale is a student at Virginia Polytechnic Institute and State University, and was one of the developers of the Adaptive Map project.Dr. Christopher B. Williams, Virginia TechChris North, Virginia Tech Page 23.1270.1 c American Society
learning in formal and informal learning environments. She has designed and piloted a mobile application course for undergraduate non-CS majors through her participation last summer in the national pilot of the new AP CS Principles course. She is currently designing mobile appli- cation curriculum with MIT AP Inventor for 8th grade mathematics classes and middle and high school social studies classes. Dr. Gardner-McCune recently completed a year and a half long postdoctoral re- search position in computer science education at Georgia Institute of Technology’s College of Computing where she led the design of the I-3 Experience programs. She holds a B.S. in Computer Engineering from Syracuse University, and earned both