electrical andcomputer engineering (ECE) department. The first, ECE 102, requires the student to solveengineering problems using MATLAB. The follow-on course introduces the C language. Tomake programming less abstract and to establish a real-life connection, we use MATLAB forinterfacing with a data acquisition device called LabJack. Students use MATLAB’s integrateddevelopment environment to write scripts that control the LabJack.This environment has enabled students to participate in some interesting hands-on projects thatcombine problem-solving, programming, and interfacing. Early on, student participation in theECE 102 course consisted of attending lectures, three laboratory exercises related to LabJack andMATLAB interfacing, and participation in
. Ayala spent three years as a Postdoctoral Researcher at University of Delaware where he expanded his knowledge on simulation of multiphase flows while acquiring skills in high performance parallel computing and scientific computation. Before that, Dr. Ayala hold a faculty position at Universidad de Oriente at Mechanical Engineering Department where he taught and developed graduate and undergraduate courses for a number of subjects such as Fluid Mechanics, Heat Transfer, Thermodynamics, Multiphase Flows, Fluid Mechanics and Hydraulic Machinery, as well as Mechanical Engineering Laboratory courses. In addition, Dr. Ayala has had the opportunity to work for a number of engineering consulting companies, which have
overlooked; Sharing known skills- Students who possess certain knowledge or skills (computer skills, laboratory skills, data analysis and reduction skills, writing skills, presentation skills, etc.) should be willing to pass it on, and/ or share it with their group members; Collaborative skills- Groups cannot function effectively if members do not have (be willing to learn) or use some needed social skills. Such as: leadership, decision-making, trust building, and conflict management; Monitoring progress- Groups need to discuss amongst themselves whether they are achieving their set goals. They need also to prioritize the scheduled activities, introduce changes when needed, and solicit advice
Gaudette, Worcester Polytechnic Institute Glenn R. Gaudette, PhD, is a Professor of Biomedical Engineering at Worcester Polytechnic Institute. His research, which is supported by the National Institutes of Health and the National Science Foundation, aims to develop a treatment for the millions of Americans suffering from myocardial infarction and other cardiovascular diseases. In May of 2012, he co-founded a company based on some of the pioneering technology developed in his laboratory. Prof. Gaudette also teaches biomedical engineering design and innovation, biomechanics and physiology. He promotes the development of the entrepreneurial mindset in his students through support provided by the Kern Family Foundation
. I think so. I have an underlying—I don't know what to call it - anxiety that— it is a lot easier to involve students in science if you bring them into a laboratory, and they actually make experiments and things of this kind. I'm essentially a mathematician when everything is said and done, and so it's hard—I feel that pulling people into the math and showing how that relates to science is not as easily done and so I think that he, somehow, bought into it. And in fact, he may even continue doing what he was doing. So, it seemed to me that the whole thing was successful even in cultivating a certain interest that it's often harder to cultivate.”When asked if the program had impacted their own
development of virtual and remote labs thatintegrate engineering data into the classroom through interactive online laboratory environments(Glasgow et al., 2004, Orduna et al., 2011). These labs can provide interactive experiences for studentsthrough multimedia including graphs, images, and geospatial visualizations. An example is the OnlineWatershed Learning System (OWLS), which is an environmental exploration tool that grants users accessto historical and live watershed monitoring data and educational case studies7,8,9. It acts as the front endfor the Learning Enhanced Watershed Assessment System (LEWAS), which is a real-time continuouswatershed monitoring station that collects stormflow, water quality (pH, dissolved oxygen, oxidationreduction
campers were able to make connections between each moduleand the materials science tetrahedron. Over 98% of responses were either a 4 or a 5. Enjoymentand general opinion of the camp were also high (>90%). Creativity was lower, most likely due tothe intro lecture and other laboratory activities that did not allow for much choice from thecamper due to the nature of the experiment. Overall, these results show that the comprehensionof materials science, over all activities, was achieved via our transfer of learning methods.Looking at the individual module responses gives a more detailed look into how well the girlscomprehended each module, as well as how much they enjoyed it.Figure 8 shows the Likert responses for the Design project module. Based
. For this study, the case was the CSCE instrument with each facultymember serving as an individual unit of analysis. The courses taught by the faculty participantsranged from small (46 students) to large (over 200 students). The course structures were alsodifferent and included lectures, laboratories, workshops, and recitations (mandatory groupproblem solving sessions). In addition, the range of experience between faculty membersencompassed first time instructors to others with over five years of teaching at the same institution.Description of caseThe CSCE instrument consists of two major sections. Section one is split into two main categories,in-class and out-of-class activities. In category one, students are expected to answer
, interdisciplinary teaching and learning, reflective eportfolios and professional development of graduate students related to teaching.Prof. David E. Claridge P.E., Texas A&M University David Claridge is the Director of the Energy Systems Laboratory and the Leland Jordan Professor of Mechanical Engineering at Texas A&M University and a Professional Engineer. He holds a B.S. in Engineering Physics from Walla Walla College and M.S. and Ph.D. degrees in physics from Stanford University. He is internationally known for his work on energy efficiency. He pioneered development of the process of existing building commissioning which is today generally recognized as THE most cost-effective way to reduce energy use in buildings
together to create a tangible working object. I was amazed how a diverse group of people, each with varying backgrounds in EE, could work so seamlessly together, helping each other out along the way. The project really solidified my passion for engineering. Currently, I am working on a joint project with NASA's Jet Propulsion Laboratory, designing and prototyping a landing mechanism for quadcopters for uneven and angled surfaces. Similar to the Theremin project, my team is composed of a variety of students of different grade levels and majors. It is exciting to see interdisciplinary teamwork come together.” Degree status: currently B.S. mechanical engineering, Caltech.Female Student, PGSS 2013 Project: “I came into the project with
and hands-on, tesbed-enabled exercises that comprise remote laboratory,visualization, and game-like competitive or cooperative aspects.In the remaining sections, we describe enabling technologies as well as the design, development,and initial implementation and assessment of tutorials that are intended to provide an immersiveexperience of otherwise-abstract concepts and phenomena for engineering students andprofessionals. Section 2 provides background on technologies that enable our work. Section 3describes the approach to development of two types of tutorials, and briefly presents an exampleof each type in outline form. Section 4 describes implementation and assessment of one of thesetutorials in a graduate SDR course, including assessment
TechniquesTwo common methods used to explore neural processes of decision-making and problem solvingunder laboratory conditions are electroencephalography (EEG) and functional magneticresonance imaging (fMRI). EEG involves a head cover (e.g., cap or net) which places electrodeson the scalp and measures electrical changes in the brain. Temporal resolution is very good(detects quick changes) though spatial resolution (where the change occurs) is poor becausesignals often interfere with one another and make it difficult to pinpoint specific brain regionsinvolved in the processing. EEG methods are mainly of value when stimuli are simple and thetask involves basic processes (e.g., target detection) triggered by task stimuli (Eysenck & Keane,2015
Undergraduate Curriculum Com- mittee, as well as faculty advisor for several student societies. She is the instructor of several courses in the CBE curriculum including the Material and Energy Balances, junior laboratories and Capstone De- sign courses. She is associated with several professional organizations including the American Institute of Chemical Engineers (AIChE) and American Society of Chemical Engineering Education (ASEE) where she adopts and contributes to innovative pedagogical methods aimed at improving student learning and retention.Dr. Vanessa Svihla, University of New Mexico Dr. Vanessa Svihla is a learning scientist and assistant professor at the University of New Mexico in the Organization, Information
. Circuits and Systems, 2011, pp. 1187–1190.[24] J. Bernhard and A.-K. Carstensen, “Learning and teaching electric circuit theory,” Physics Teaching Eng. Educ., Jun. 2002.[25] T. Ogunfunmi and M. Rahman, “A concept inventory for an electric circuits course: rationale and fundamental topics,” in Proc. 2010 IEEE Int. Symp. Circuits and Systems, 2010, pp. 2804–2807.[26] L. Watai et al., “Designing effective laboratory courses in electrical engineering: challenge-based model that reflects engineering process,” in 37th Annual Frontiers in Education Conference (FIE) - Global Eng.: Knowledge Without Borders, Opportunities Without Passports, 2007. , October 10–13, 2007.[27] Gloria J. Kim, E.E Patrick, R. Srivastava and
gained by merging them into one building. SeeFigure 14.19Cornell University Announcements described various college buildings, including the library inthe yearly publication. A description from 1930 describes the origins and size of two bookendowments, Kuichling for hydraulic and municipal engineering (civil) and Gray for electrical.See Figure 15. BUIL IN S AN E UIPMENT 5 plete commercial radio broadcasting e uipment Laboratory stand ards of inductance, capacity and fre uency are available for
Engineering Education, 104(1), 74-100. doi: 10.1002/jee.2006612. Lin, C.-C., & Tsai, C.-C. (2009). The relationships between students' conceptions of learning engineering and their preferences for classroom and laboratory learning environments. Journal of Engineering Education, 98(2), 193-204. doi: 10.1002/j.2168-9830.2009.tb01017.x13. PÉRez, C. D., Elizondo, A. J., GarcÍA-Izquierdo, F. J., & Larrea, J. J. O. (2012). Supervision typology in computer science engineering capstone projects. Journal of Engineering Education, 101(4), 679-697. doi: 10.1002/j.2168-9830.2012.tb01124.x14. Kumsaikaew, P., Jackman, J., & Dark, V. J. (2006). Task relevant information in engineering problem solving. Journal of Engineering Education, 95
. Gibbons Kevin A., Philip Knodel, JoelWilliam Noble, Nathan W. Seibt, “An Approach to UsingUndergraduate Student Teams to Develop Undergraduate Laboratory Experiences,” American Societyfor Engineering Education, (2012).13. Jakobsen, C.H.; Hel, T.; McLaughlin, W.J. “Barriers and Facilitators to Integration Among Scientistsin Transdisciplinary Landscape Analyses: A Cross-country Comparison”. For. Policy Econ., 6, 15-31,(2004).14. Cummings, J.N.; Kiesler, S. “Collaborative Research Across Disciplinary and OrganizationalBoundaries.” Soc. Stud. Sci., 35, 703-722, (2005).15. Russell, A.W.; Wickson, F.; Carew, A.L. “Transdisciplinarity: Context, Contradictions andCapacity.” Futures, 40, 460-472. Sustainability, 3 1107, (2007).16. Tress G, Tress B, Fry G
Paper ID #20290A Case Study Approach for Understanding the Impact of Team Selection onthe Effectiveness of Multidisciplinary Capstone TeamsDr. Mark W. Steiner, University of Central Florida Mark Steiner is Professor in the Department of Mechanical and Aerospace Engineering (MAE) in the College of Engineering and Computer Science (CECS) at the University of Central Florida (UCF). He currently serves as Director of Engineering Design in the MAE Department. Mark previously served as Director of the O.T. Swanson Multidisciplinary Design Laboratory in the School of Engineering at Rens- selaer Polytechnic Institute (RPI) and
and manufacturing activities at Yale’s academic makerspace. His professional interests in Mechanical Engi- neering are in the areas of data acquisition/analysis and mechanical design. He is the Co-Chair of the Executive Advisory Board of the FIRST Foundation and is a Fellow of the American Society of Mechan- ical Engineering. Previously, he was the Dean of Engineering at the U.S. Coast Guard Academy and has had fellowships at the MIT Charles Stark Draper Laboratory, the Harvard School of Public Health and with the American Council on Education. He has also served as the Vice President of Public Awareness for the American Society of Mechanical Engineers and was the 2001 Baccalaureate College Professor of the
applications. The presence of at least one and usually two directors in the every classprovides continuity and consistency for the course administration, course content, and student-faculty interactions.Table 1. Departments from UPENN and Industry represented by the speakers from 2014 to 2017School/Industry Department Speakers Lectures Bioengineering (BE) 2 2SEAS Chemical and Biomolecular Engineering 1 7 (CBE) Pathology and laboratory medicine 3 7 Pediatrics 1
development and testing the assessment is presented in thissection. A goal is to convey presently available results at this initial stage of the project.Results are available from preliminary trial testing with students in three different institutions.Figure 1 shows the results from this trial. A total of 131 students took the test. Of these, 42 werefrom Hope College. These were non-engineering students enrolled in a course called “Scienceand Technology of Everyday Life”. The course satisfies a general education laboratory courserequirement for non-STEM majors. All of these students are majoring in a discipline that is not afield of science, engineering, technology, or mathematics. There were 59 students from IowaState University. These non
University Dr. Colleen Janeiro teaches engineering fundamentals such as Introduction to Engineering, Materials and Processes, and Statics. Her teaching interests include development of solid communication skills and enhancing laboratory skills.Dr. William E. Howard, East Carolina University William E (Ed) Howard is an Associate Professor in the Department of Engineering at East Carolina University. He was previously a faculty member at Milwaukee School of Engineering, as well as as a design and project engineer with Thiokol Corporation, Spaulding Composites Company, and Sta-Rite Industries.Dr. Patrick F. O’Malley, Benedictine College Patrick O’Malley teaches in the Mechanical Engineering program at Benedictine College
chemicals used in hydraulic fracturing fluids in coal-bed methane and regular oil and gas wells in Colorado. While in the middle of his master’s degree, he also spent a year as a graduate intern at the National Renewable Energy Laboratory studying renewable energy commercialization in Caribbean countries among other areas. He is currently completing is second master’s in engineering for developing communities in conjunction with his PhD Civil Systems Engineering at the University of Colorado Boulder. His trans-disciplinary research involves addressing global development issues from an engineering, political, and economic perspective.Dr. Bernard Amadei, University of Colorado, Boulder Dr. Amadei is Professor of Civil
., Radenkovic, B., & Despotovic-Zrakic, M. (2014). A Platform for Learning Internet of Things. International Association for Development of the Information Society.16. Dickerson, S.J. (2016). Preparing Undergraduate Engineering Students for the Internet of Things. In Proceedings of the 2016 ASEE 123rd Annual Conference & Exposition, New Orleans, LA, June 26-29, 2016.17. Hamblen, J. O., & van Bekkum, G. M. (2013). An embedded systems laboratory to support rapid prototyping of robotics and the internet of things.IEEE Transactions on Education, 56(1), 121-128.18. Hu, J., van der Vlist, B., Niezen, G., Willemsen, W., Willems, D., & Feijs, L. (2013). Designing the Internet of Things for learning environmentally
-goals(e.g. add a feature) and engage in multiple sub-problems (e.g. debugging, feature testing). Bytaking a discourse perspective, we can view the relationship between subject and problem as anegotiation between multiple sub-problems, each which may take the focus of the participant atdifferent times, e.g. while implementing a new feature, the participant may notice a bug andengage in a debugging process before returning back to feature implementation.Example caseIn this section we describe an ongoing study that is utilizing these methods. While this study isconducted in a laboratory setting which restricted participants’ range of options, it provides aconvenient example of how the theoretical framework of sociomateriality might be combinedwith
Aidan O Dwyer, “Learning Styles of First Year Level 7 Electrical and Mechanical Engineering Students at DIT,” in International Symposium for Engineering Education ISEE- 08 (Dublin City University, 2008), 69–74.13 Mary Baker, Michael O’Boyle, and Rachna Mutreja, “Learning Styles and Retention Rates in Engineering Students,” in On Being an Engineer: Cognitive Underpinnings of Engineering Education (Lubbock, TX, 2008).14 James Bluman and J. Ledlie Klosky, “Jump-Starting a Senior-Level Capstone Project through Hands-on Laboratory Exercises,” in 41st ASEE/IEEE Frontiers in Education Conference (Rapid City, SD, 2011), 1–6, doi:10.1109/FIE.2011.6142810.15 Robert P Hesketh, Stephanie Farrell, and C S Slater, “The Role of
of scoring rubrics: Reliability, validity and educational consequences. Educ. Res. Rev. 2, 130–144 (2007).27. Popham, W. J. Classroom assessment: What teachers need to know. (Pearson, 2014).28. Reddy, Y. M. & Andrade, H. A review of rubric use in higher education. Assess. Eval. High. Educ. 35, 435–448 (2010).29. Andrade, H. G. Using rubrics to promote thinking and learning. Educ. Leadersh. 57, 13– 18 (2000).30. Kellogg, R. S., Mann, J. A. & Dieterich, A. Developing and using rubrics to evaluate subjective engineering laboratory and design reports. in ASEE Annual Conference & Exposition 1–10 (2001).31. Lovorn, M. G. & Rezaei, A. R. Assessing the assessment: Rubrics training for pre-service
worked as a de- sign engineer, as a Visiting Professor at Los Alamos National Laboratory, as a Professor at the University of Arkansas and the University of Utah, and as the Chief Water Consultant of an international engineer- ing and sustainability consulting firm he co-founded. He served as the first co-Director of Sustainability Curriculum Development at the University of Utah where he created pan-campus degree programs and stimulated infusion of sustainability principles and practices in teaching and learning activities across campus. Dr. Burian currently is the Project Director of the USAID-funded U.S.-Pakistan Center for Advanced Studies in Water at the University of Utah. He also serves as the Associate
onquality and progress of the student’s work. Students have the ability to discuss their progressboth in individual meetings with their mentor and in the weekly collaboration meetings. Inaddition, graduate students involved in the project are expected to monitor each student’sperformance and progress in the laboratory setting. Ideally, concerns are addressed early, and thestudent is mentored to overcome weaknesses or deficiencies in regards to research. The facultymentor is expected to provide constructive criticism to the students to help them gain the mostfrom the summer program.Assessment:The program was assessed in a number of ways. The demographic data of the participants wasused to determine the success of the recruitment efforts in engaging