Collaboration," in Proceedings 2nd Pervasive Computing and Commuincations Workshop, 2004.17 V. Razmov and R. Anderson, "Pedagogical Techniques Supported by the Use of Student Devices in Teaching Software Engineering," in Proceedings SIGCSE, 2006, pp. 344-348.18 M. D. Theys, K. Lawless, and S. George, "Tablet Computers and the Traditional Lecture," in Proceedings 35th Frontiers in Education, Indianapolis, IN, 2005.19 N. Ward and H. Tatsukawa, "Software for Taking Notes in Class," in Proceedings Frontiers in Education, Boulder, CO, 2003.20 C. L. Willis, "Mind Tools for Enhancing Thinking and Learning Skills," in Proceedings SIGITE, Newark, NJ, 2005, pp. 249-254.21 C. L. Willis and S. L. Miertschin, "Tablet PC’s as
Paper ID #12508Exploring the Impact of Peer-Generated Screencast Tutorials on Computer-Aided Design EducationDr. Dongdong Zhang, Prairie View A&M University Dongdong Zhang is currently an Assistant Professor in the Department of Mechanical Engineering at the Prairie View A&M University. He graduated from University of Missouri-Columbia with a Ph.D. degree in Mechanical Engineering. His research interests include: Micro- and Nano-Fiber Reinforced Compos- ites Processing Simulation, Transport Phenomenon in Polymer Composites Processing; Finite Element Analysis (FEA), Computational and Numerical Algorithms; Computer
AC 2008-2935: UNISYLLABUS: A TOOL TO MANAGE YOUR PROGRAM’SSYLLABIOthoniel Rodriguez-Jimenez, Polytechnic University of Puerto Rico Othoniel Rodriguez-Jimenez is Associate Director for the Computer Engineering program at Polytechnic University of Puerto Rico. He holds a PhD in Computer Engineering and Computer Science from the University of Missouri-Columbia. His main research areas are eLearning, computers in education, and reconfigurable hardware.Carlos Pacheco, Polytechnic University of Puerto Rico Nelson Pacheco graduated magna cum laude from the Computer Engineering Program at Polytechnic University of Puerto Rico. He is currently a Senior Engineering Consultant with Abacus
Paper ID #18743Work in Progress: Influence of Cognitive Concept Connection, Personal Mo-tivations, and Personal Characteristics when Assessing CreativityProf. Ting-Ting Wu, National Yunlin University of Science and Technology Ting-Ting Wu is currently an Assistant Professor in the Graduate School of Technological and Vocational Education at National Yunlin University of Science and Technology, Taiwan. She received her Ph.D. degree from the Department of Engineering Science at National Cheng Kung University. She received the MS degree in Information and Learning Technology from National University of Tainan. Her re- search
, and accelerate engineering education innovation. With this in mind, the engineeringeducation community should continue investigating and evaluating the key factors that hinder orpromote collaborative research within and across institutions, especially amidst efforts tocontinue to grow the field. Over the last few decades, research collaborations across institutionshave grown significantly—however, few studies have examined the relationship between suchcollaborations and the institutional characteristics such as ranking, geographic location, orclassifications (e.g., the Carnegie Classification of Higher Education Institutions) when studyingcollaboration networks. Our paper uses social network analysis (SNA) to help fill this gap byexamining
Paper ID #34927User Interface Design: Applying Heuristics for Improved UsabilityMs. Irini Spyridakis, University of Washington Irini Spyridakis is an Assistant Teaching Professor in the Department of Human Centered Design & En- gineering at the University of Washington. Her research and teaching concern ethics and sustainable design in engineering, human computer interaction, smart cities, resource constrained communities, tech- nology for social good, and STEM outreach. She has close to 20 years of teaching experience and is an experienced UX researcher and designer. American
Engineering Dean and University Deputy Vice Chancellor, received his B.Sc 1st class Hons in Electronics (1971), and a D.Phil, Control Engineering (1975), at the University of Sussex UK. He had his Post Doctoral Studies in Nuclear Instrumentation at University of California, Berkeley USA (1977-1978) as an IAEA Fellow. He has spent most of his years as a Professor of Instrumentation Engineering at the Obafemi Awolowo University (OAU), Ile-Ife, Nigeria. He was the Rector of the first private Polytechnic in Nigeria. He recently concluded a 3-year Visiting Professor term at the Texas Southern University, Houston Texas USA. He has worked in Techno-Managerial position as the Director of ICT at OAU for years. His major field is
AC 2012-3680: LEARNING MATLAB IN THE INVERTED CLASSROOMDr. Robert Talbert, Grand Valley State University Robert Talbert is Associate Professor of mathematics at Grand Valley State University. Formerly, he was Associate Professor of mathematics and computing science at Franklin College, where he was also the Director of that school’s 3+2 engineering program with Purdue University. His scholarly interests include cryptography, computer science, and educational technology with a special emphasis on using technology to support active learning environments in the university classroom. He holds a Ph.D. in Mathematics from Vanderbilt University
Paper ID #10282Feasibility of interactive eTextbooks with computationally intense contentDr. Jacques C. Richard, Texas A&M University Dr. Richard got his Ph. D. at Rensselaer Polytechnic Institute, 1989 & a B. S. at Boston University, 1984. He was at NASA Glenn, 1989-1995, taught at Northwestern for Fall 1995, worked at Argonne National Lab, 1996-1997, Chicago State, 1997-2002. Dr. Richard is a Sr. Lecturer & Research Associate in Aerospace Engineering @ Texas A&M since 1/03. His research is focused on computational plasma modeling using spectral and lattice Boltzmann methods for studying plasma turbulence
. Students undertaking this exercise are working toward a metricbased on sound engineering design, in contrast to the victory-based metrics typically associated(in the students’ minds) with robotics competitions. The proposed format allows students a trulyopen-ended experience, since they must develop problem specifications themselves. Instructorsupport is required to assist in the development of an appropriate problem as well as during thedesign phase, but a well-prepared instructor can look forward to an extremely beneficial exercisethat strongly motivates students and provides substantial dividends for the students in regards torobotics and engineering design in general.IntroductionRobot design is a challenging topic to teach in a traditional
. “The Socio-Materiality of Learning Practices and Implications for the Field of Learning Technology”. In: Research in Learning Technology 19.3 (Sept. 2011), pp. 207–217. DOI: 10.1080/21567069.2011.624169.[11] Aditya Johri. “Sociomaterial Bricolage: The Creation of Location-Spanning Work Practices by Global Software Developers”. In: Information and Software Technology. Studying work practices in Global Software Engineering 53.9 (Sept. 2011), pp. 955–968. DOI: 10.1016/j.infsof.2011.01.014.[12] Sylvia Scribner and Ethel Tobach. Mind and Social Practice: Selected Writings of Sylvia Scribner. Google-Books-ID: ppTiqXHfhAYC. Cambridge University Press, Jan. 13, 1997. 408 pp.[13] Suzie Wong Scollon. Nexus Analysis
Paper ID #15475WORK IN PROGRESS: A Study on Student Feedback Regarding the Us-ability of Online LaboratoriesMr. Christian Kreiter MSc, Carinthia University of Applied SciencesMr. Danilo Garbi Zutin P.E., Carinthia University of Applied Sciences Danilo G. Zutin is currently a Senior Researcher and team member of the Center of Competence in Online Laboratories and Open Learning (CCOL) at the Carinthia University of Applied Sciences (CUAS), Vil- lach, Austria, where he has been engaged in projects for the development of online laboratories, softtware architectures for online laboratories and online engineering in general. Danilo
Mathematics Review (SIAM Rev.), vol. 53, pp. 561-574, 2011.2 NSF. National Science Foundation Advisory Committee for Cyberinfrastructure Task Force on Grand Challenges Final Report, 2011.3 Hafner, J. Atomic-scale computational materials science. Acta Materialia, vol. 48, 71–92, 2000.4 Bransford, J. How People Learn: Brain, Mind, Experience, and School. National Academies Press, Washington, DC., 2000.5 Magana, A. J., Falk, M. L., Reese, JR. Introducing Discipline-Based Computing in Undergraduate Engineering Education. ACM Transactions on Computing Education, vol. 13, no. 4, 2013.6 Litzinger, T. A., Meter, P. V., Firetto, C. M., Passmore, L. J., Masters, C. B., Turns, S. R., . . . Zappe, S. E. A cognitive
Paper ID #16226Computational Pedagogy: Fostering a New Method of TeachingProf. Osman Yasar, The College at Brockport - SUNY Osman Yasar is an endowed professor and director of the CMST Institute at The College at Brockport, SUNY. He established the first undergraduate degree program in computational science in the United States and developed a computational pedagogical content knowledge (CPACK) framework for teacher professional development. His research interests include engineering and science education, computa- tional pedagogy, computational theory of mind, fluid and particle dynamics, engine ignition modeling
World Conference on Educational Multimedia, Hypermedia andTelecommunications, pp. 1236-1244, 2014.[3] A. Belasco, “College Advice for the Career-Minded: So, you want to be an engineer?,” (2015), CollegeTransitions. [Online]. Available https://www.collegetransitions.com/blog/so-you-want-to-be-an-engineer/[4] A. Murata and Y. Ohta, “Metacognition in Solving Process of Basic Electric Circuit Problem-Comparison of Metacognitive Characteristics between Non-major and Major Students in ElectricEngineering,” Computer Technology and Application, vol. 4, no. 8, pp. 415-424, Aug. 2013.[5] T. T. Moores, J. C.-J. Chang, and D. K. Smith, “Clarifying the role of self-efficacy and metacognitionas predictors of performance: construct development and test,” ACM
AC 2007-1207: TEACHING STRUCTURED PROGRAMMING USING LEGOPROGRAMMABLE BRICKSEric Wang, University of Nevada-Reno ERIC L. WANG is an Associate Professor of Mechanical Engineering at the University of Nevada, Reno. Dr. Wang has won numerous awards including the Tibbitts Distinguished Teaching Award, UNR's most prestigious teaching award. In addition to his pedagogical activities, Dr. Wang conducts research on sports equipment, biomechanics, robotics, and intelligent materials.Jeffrey LaCombe, University of Nevada-Reno JEFFREY C. LACOMBE is an Assistant Professor of Metallurgical and Materials Engineering at the University of Nevada, Reno. In addition to his education-oriented research
engineering) 2. Developing and using models 3. Planning and carrying out investigations 4. Analyzing and interpreting data 5. Using mathematics and computational thinking 6. Constructing explanations (for science) and designing solutions (for engineering) 7. Engaging in argument from evidence 8. Obtaining, evaluating, and communicating informationThere are many similarities between the practices of scientists and engineers – e.g., both includeusing computational tools to test scientific theories and predict outcomes of engineering designs.While new technologies and pedagogies now afford us many opportunities to cultivate students’S&E habits of mind,4,5,18 developing novel approaches to integrate
as “mother,” and one or moretopics in “daughter” and “son” roles. Once the family association is made, information about thefamily can be determined about parents and children, siblings, and even such things as cousins ina larger map.Topic mapping is similar to the much more widely known methodologies of concept mappingand mind mapping, but is relatively new and have not yet found wide use in educational settings.Topic maps differ from the others in several important aspects that should be useful for learningmany engineering domains. Concept maps (and mind maps) are both mainly used to representhierarchical information with the most important topic at the center (or top), and subtopicsarranged in a tree. Topics become farther from the main
technologies.AcknowledgmentsWe acknowledge financial support from HEWLETT-PACKARD (HP), through the HPTechnology for Teaching Higher Education Grant Initiative for Latin America for the project"High-Quality Learning Environments for Engineering Design: Using Tablet PCs and Guidelinesfrom Research on How People Learn". Author Gutiérrez Cuba acknowledges financial supportfor her PhD studies from the National Council for Science and Technology of Mexico(CONACyT) and Universidad de las Américas Puebla.Bibliography1. J. D. Bransford, A. L. Brown, and R. R. Cocking. How People Learn. Brain, Mind, Experience and School. Expanded Edition. National Academy Press. Washington DC (2000).2. J. D. Bransford, N. Vye, and H. Bateman. Creating High-Quality Learning Environments
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 #25674Virtual Reality Case Studies in Fluid Mechanics: Development, Student Per-formance and FeedbackDr. Kyle Johnsen, University of Georgia Kyle Johnsen is an Associate Professor in the College of Engineering at the University of Georgia. Dr. Johnsen joined the University of Georgia in 2008 after earning his PhD in Computer Engineering from the University of Florida. His research focuses on emerging human-computer interaction technologies for health, education, and the environment.Dr. Siddharth Savadatti, University of Georgia Dr. Siddharth Savadatti received his PhD in Computational Mechanics from North Carolina
Paper ID #33915Artificial Intelligence Paradigms and the Future of Learning: What aPartial Review of Half a Century of AI Conceptualization SuggestsJoseph Maloba Makokha, Stanford University Joseph Makokha was born, raised and educated in Kenya. He obtained a BSEE degree from the University of Nairobi before moving to the United States, where he earned two masters degrees in education before starting his doctoral studies in mechanical engineering at Stanford University focussing on design. He researches human collaboration with artificial intelligence (AI), with the goal of understanding how to design AI that augments humans
authors and do notnecessarily reflect the views of the National Science Foundation. 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. “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
AC 2007-2085: DEVELOPING EDUCATIONAL SOFTWARE IN ANUNDERGRADUATE LAB ? SERVING EDUCATION ON TWO FRONTS ATVRUPLJohn Bell, University of Illinois-Chicago Page 12.494.1© American Society for Engineering Education, 2007 Developing Educational Software in an Undergraduate Lab – Serving Education on Two Fronts at VRUPLABSTRACTEducational software can have a profound and widespread positive impact on the world,particularly if it is made freely available and widely distributed. At the same time, providing alaboratory where undergraduate students can work on large complex software projects beyondthe scope of ordinary homework assignments can provide immeasurable
Paper ID #19264Visualization as Effective Instructional and Learning Tools in the ComputerScience CurriculumDr. Mahmoud K Quweider, University of Texas, Rio Grande Valley M K Quweider is a Professor of Computer & Information Sciences at the U. of Texas at UTRGV. He re- ceived his Ph.D. in Engineering Science (Multimedia and Imaging Specialty) and B.S. In Electrical Engi- neering, M.S. in Applied Mathematics, M.S. in Engineering Science, and M.S. in Biomedical Engineering all from the University of Toledo, Ohio. He also holds a Bachelor of English and a Masters of Business Administration from the University of Texas at
Paper ID #19653The Validity of Technologies in Education: A Survey of Early Childhood Ed-ucation Developmental ToolsMs. Lauren E. Johnson, The University of North Carolina at Charlotte Lauren E. Johnson is an Electrical Engineering masters’ student at the University of North Carolina at Charlotte in the Electrical and Computer Engineering Department. She received her AS degree at Central Piedmont Community College and BS in Computer Engineering from UNC Charlotte. She has been a teaching assistant for electrical and computer engineering courses at both of her schools of attendance. Such courses include Introduction to
AC 2007-612: TEACHING COURSES WITH TABLET PC: EXPERIENCE ANDSTUDENT FEEDBACKSaroj Biswas, Temple University Saroj Biswas is a Professor of Electrical and Computer Engineering at Temple University, Philadelphia. He completed his doctoral degree in Electrical Engineering from the University of Ottawa, Canada, in 1986. His field of research is control systems, nonlinear and robust control, neural networks, intelligent systems, and intelligent tutoring systems. He is the author or co-author of over 60 articles in refereed journals or conferences. He is a member of IEEE, ASEE, and Sigma Xi
AC 2012-5536: CAN WE MAKE STUDENTS LIFELONG LEARNERS THROUGHSOCIAL NETWORKS?Dr. Gonca Altuger-Genc, University of Massachusetts, Lowell Gonca Altuger-Genc is a full-time faculty member in the Plastics Engineering Department at UMass, Lowell.Mr. Yegin Genc, Stevens Institute of Technology Yegin Genc is a Ph.D. candidate at Stevens Institute of Technology. Page 25.280.1 c American Society for Engineering Education, 2012 CAN WE MAKE STUDENTS LIFELONG LEARNERS THROUGH SOCIAL NETWORKS?AbstractThe Accreditation Board for Engineering Education and Technology (ABET) criteriarequire
Paper ID #16516Learners in Advanced Nanotechnology MOOCs: Understanding their Inten-tion and MotivationDr. Kerrie Anna Douglas, Purdue University, West Lafayette Dr. Douglas is a Visiting Assistant Professor in the Purdue School of Engineering Education. Her research is focused on methods of assessment and evaluation unique to engineering learning contexts.Brittany Paige Mihalec-Adkins, Purdue University Brittany Mihalec-Adkins is a graduate student in Educational Psychology at Purdue University. Her research interests include academic identity development, educational trends among marginalized groups, and educational
videos helped them to become independent in the lab, further data is needed to determineif independence persists and if video tutorials help to prepare students for later courses.Bibliography1. Feisel, L.D., Albert, J.R., “The Role of the Laboratory in Undergraduate Engineering Education,” Journal of Engineering Education, Vol. 94, No. 1, 2005, pp. 121-130.2. National Academy of Engineering of the National Academies, The Engineering of 2020: Vision of Engineering in the New Century. Washington, DC: National Academies Press, 2004.3. Bransford, J.D., Brown, A.L., and Cocking, R.R., eds., “How People Learn: Brain, Mind, Experience, and School,” Washington, D.C.: National Academy Press, 2000. Online at http://books.nap.edu/catalog