Career Teaching Award in 2010, a (campus-wise) Illinois Student Senate Teaching Excellence award in 2013, the NSF CAREER award, and the Univerisity of Illinois College of Engineering’s Rose Award and Everitt Award for Teach- ing Excellence. Prior to his work on education and computer architecture, he developed the first algorithm that allowed rendering arbitrary three-dimensional polygonal shapes for haptic interfaces (force-feedback human-computer interfaces). He holds 6 patents.Prof. Matthew West, University of Illinois, Urbana-Champaign Matthew West is an Associate Professor in the Department of Mechanical Science and Engineering at the University of Illinois at Urbana-Champaign. Prior to joining Illinois he was on
Applied Mathematics from the University of Western Australia. His research is in the field of scientific computing and numerical analysis, where he works on computational algorithms for simulating complex stochastic systems such as atmospheric aerosols and feedback control. Prof. West is the recipient of the NSF CAREER award and is a University of Illinois Distinguished Teacher-Scholar and College of Engineering Education Innovation Fellow.Prof. Dallas R. Trinkle , University of Illinois, Urbana-Champaign Dallas R. Trinkle is an associate professor in Materials Science and Engineering at Univ. Illinois, Urbana- Champaign. He received his Ph.D. in Physics from Ohio State University in 2003. Following his time as a
there was a week inbetween each camp to allow for the preparation of materials, lesson plans, and venue. Alongwith research and student development, the main goal was to make a positive impact on studentlearning in STEAM through fun and engaging hands-on activities and challenges. Through theseactivities these younger students could perceive STEAM as something inspiring and fun andattainable; as the means to envision a career within the STEAM disciplines.We identified the activities, challenges, and expected outcomes but we had to design a structurethat could adapt and be flexible and scalable for both camps and for future Tech-E summercamps. After reviewing a wide variety of strategies and methodologies1,2,3,4,5, we developed astructural
computing, email, text messages, social media, and much more. Computing technology is centrally relevant in the careers and lives of increasingly more people. As a result, more universities require students to take at least one course in computing/information technology. Unfortunately, the most widely used textbooks are written as (or have bloated into) comprehensive references, focusing excessively on terms and definitions that are quickly forgotten by students after a course is over. Instead, given computing technology's central relevance, such a course should be one of the most interesting and useful at a university, being an engaging introduction that positively
Electrical and Computer Engineering at the University of Arizona. He received his B.S., M.S., and Ph.D. in Computer Science from the University of Califor- nia, Riverside in 1999, 2000, and 2005, respectively. His research interests focus on embedded systems, with emphasis on runtime optimization, non-intrusive system observation methods for in-situ analysis of complex hardware and software behavior, data-adaptable system, and embedded system security. He was awarded the Outstanding Ph.D. Dissertation Award from the European Design and Automation Associa- tion (EDAA) in 2006 for New Directions in Embedded Systems. He received a CAREER award from the National Science Foundation in 2009 and four Best Paper Awards from the
’ perception of how much they learneddramatically shifted towards the above average and well above average categories after theimplementation of the 3D technology project. Another set of questions in which the majority of the students agree on their perceivedlearning is shown in Figure 6 for the first year and Figure 8 for year two. In this set of questions theagreement of the students was higher than 60% and lower than 70% for year one and between 80%and 82.6% for year two. Here we can see that the 3D technology project had a high impact in theareas of time management, engineering career awareness and planning, research methods andtechniques, critical thinking concepts, and unit systems and conversions. From previous research wehave confirmed
circuit analysis, analog anddigital electronics, micro- computing, power electronics, control systems, signal processing,electro-mechanics, and various energy and material concepts to electronics and computersystems.The continuous examination of the evolving needs of our students and employers for career-oriented, higher education programs is our university‘s mission and purpose. Agencies accreditingour programs are also increasingly focused on student outcomes and achievement. Studentoutcomes are the skills and abilities students are expected to demonstrate at graduation. Some ofthe student outcomes in our program is the ability to conduct standard tests and measurements; toconduct, analyze, and interpret experiments; and to apply experimental
style, previous internship experience, or future career aspirations,demonstrate better intuition as measured by success on computer simulation homeworkproblems.MethodsOftentimes students complete computer simulations without questioning if the assumptions orresults are practical. The purpose of this research is to assess how students view assumptions andresults when working with simulations of engineering problems and to identify any potentialcommonalities among students who more often demonstrate successful “engineering intuition” inresponse to simulated engineering problems. In our context, simulations refer to software-aidedproblem solution, where the software simulates a real-life process that is infeasible orinconvenient to produce in a
from silicon for photovoltaics, and comparing to theoretical predictions * Explaining key physical effects influencing selective thermal emitters in order to achieve high performance thermophotovoltaic systemsDr. Krishna Madhavan, Purdue University, West Lafayette Dr. Krishna Madhavan is an Associate Professor in the School of Engineering Education at Purdue Uni- versity. He is Co-PI and Education Director of the NSF-funded Network for Computational Nanotechnol- ogy (nanoHUB.org which serves over 330,000 global researchers and learners annually). Dr. Madhavan was the Chair of the IEEE/ACM Supercomputing Education Program 2006. In January 2008, he was awarded the US National Science Foundation (NSF) CAREER award for
GeographicInformation Systems (GIS). The proposed framework helps realize the ultimate goal of nurturingGIS/Geo-Informatics students with advanced geospatial skills while contributing to enhancedcritical thinking and problem solving skills due to the interactive delivery of modules. The‘interactive’ nature of the framework allows the transition from conventional methods that arepassive and uni-directional to active learning through involvement driven by the event-responsemechanism. As a result, GIS academic programs can give advanced state-of-the-art training totheir students, thereby increasing their graduation rates, employability, and overall career success.This paper delineates some of the common examples employed in geospatial education andelaborates with
al. describe efforts to use the Alice programming environment to teach introductoryprogramming concepts.53 Interestingly a later report assessing the efficacy of the curriculum usingAlice indicated that while pre-post testing indicated learning gains with the environment, focusgroup data indicated a dissatisfaction with Alice as an introductory language, resulting in a switchto LabVIEW.54 A possible explanation given for the dissatisfaction of Alice was that students didnot perceive it as being a “real” programming environment they might use in industry, whileLabVIEW was. Certainly, helping students connect the utility of skills they learn in the classroomto those that will be important in their later career is important. In some cases
? Yes 49 92% No 4 8% Table 8. Results from post development question 2 Spring 2016. Question 3 of the post iAdvise usage survey focuses on ease of access to information.Due to inaccessibility, information that could be gathered by the agent is seldom sought out.Even if the agents understand the notion of “the more credits that I enroll in and pass the faster Igraduate”, it is not often that agents actually take the time to calculate their time to graduation.According to Landis, an expert in the field of engineering education, the more time and effort astudent devotes to planning their career
engineering in the Volgeneau School of Engineering, and is the Secretary of the George Mason University Chapter of the American Society of Mechanical Engineers.Dr. Oscar Barton Jr., George Mason University Oscar Barton, Jr., Ph.D, P.E. is a Professor of Mechanical Engineering at George Mason University A native of Washington, D.C., Professor Barton received his B.S in Mechanical Engineering from Tuskegee (Institute) University, his M.S in Mechanical Engineering and Ph.D degree in Applied Mechanics from Howard University. Dr. Barton joined the faculty of Mechanical Engineering Department at George Ma- son University fall 2014, after completing a 22 year career at the U.S. Naval Academy. His research focuses on the
and wireless networks, cognitive radio networks, trust and information security, and semantic web. He is a recipient of the US Department of Energy Career Award. His research has been supported by US Department of Energy, National Science Foundation, Air Force Office of Scientific Research, Air Force Research Laboratories, Ohio Supercomputer Center, and the State of Ohio.Prof. Chi-Hao Cheng, Miami University Dr. Chi-Hao Cheng received the B.S. degree in control engineering from National Chiao Tung University, Taiwan in 1991, and the M.S. and Ph.D. degrees from The University of Texas at Austin in 1996 and 1998 respectively, both in Electrical and Computer Engineering. He is currently a professor in the Department
learning about the recentdevelopments in their field from various media including the mass media and news.Students reported that sharing the recent news activity has provided them with the opportunitiesto expand their knowledge in the field, including HPC. They believed that reading the recentnews and discussing them in class sessions prepared them for future careers because they wereable to learn about the most recent project work in the field through the recent news activities.A student has written that the recent news activity was a helpful method to expand theirknowledge and become more prepared to enter the workforce and exposed to different projects.Another student found that sharing the news daily among the class was quite necessary
in the computer science department. He is currently an assistant professor at Washington State University in the School of Electrical Engineering and Computer Science and is a recipient of the National Science Foundation CAREER award. Current research interests include intelligent agents, multi-agent systems, reinforcement learning, transfer learning, and robotics.Anne Anderson, Washington State University Anne Anderson is an Assistant Professor in the School of Design + Construction at Washington State Uni- versity. Her research focuses on improving construction coordination efforts through the use of building information modeling (BIM) and emerging collaboration technologies. c
Lafayette College in the computer science department. He is currently an assistant professor at Washington State University in the School of Electrical Engineering and Computer Science and is a recipient of the National Science Foundation CAREER award. Current research interests include intelligent agents, multi-agent systems, reinforcement learning, transfer learning, and robotics. c American Society for Engineering Education, 2016 Work in Progress: A Computer-Aided Design Intelligent Tutoring System Teaching Strategic FlexibilityAbstractTaking a Computer-Aided Design (CAD) class is a prerequisite for Mechanical Engineering fresh-men at many universities, including at
Science Foundation (NSF) CAREER award for work on learner-centric, adaptive cyber- tools and cyber-environments. He was one of 49 faculty members selected as the nation’s top engineering educators and researchers by the US National Academy of Engineering to the Frontiers in Engineering Education symposium. Dr. Madhavan leads a major NSF funded effort called Deep Insights Anytime, Anywhere (DIA2) that attempts to characterize the impact of NSF and other federal investments in the area of science, technology, engineering, and mathematics education using interactive knowledge mining and visual analytics for non-experts in data mining. DIA2 is currently deployed inside the NSF and is already starting to affect federal
students perceiveproblem-solving at this particular point in their academic careers: at the starting point of studyingengineering. Jonassen11 identified troubleshooting and diagnosis as “among the most commontypes of problem solving,” and trial and error as one of five global strategies commonly used inthe troubleshooting process. Jonassen further described the trial and error as “randomlyattack[ing] any section of the system where the possible fault might have occurred,” which alignswith the operational definition for this descriptor as used in the analysis (an iterative process oftrying out different variables or options until the task is accomplished or a solution is reached). Infuture work, strategies, and more specifically, trial and error
to inspire, motivate, and train the next generation STEM workforce that will be able todesign, build, and install new solar energy facilities. The goal of the VEC is to educate highschool students regarding solar energy and to inspire them to pursue careers in STEM.David Thibodeaux STEM Magnet Academy (DTSMA) in Lafayette, Louisiana has identified“problem-based learning” as a much needed high-impact educational practice based onadministrative observations of classrooms, analysis of student performance on standardized tests,and faculty input based on STEM training classes [2]. The VEC allows teams of high-schoolstudents to follow the problem-based learning paradigm to learn about solar energy. Initially thestudents are presented with a
construction task equipment Description of personality, field of study, learning style, physical Major/program, career field,Self-descriptions characteristics, interests etc. learning style, personality Description of a particular emotion Confidence, frustration, joy,Affect experienced during the study anxiety Description of a primary overall approach for constructing circuits on Methodical, trial and error,Strategies the physical breadboard memorization
assigned the editor role to someone who lacked writing skills thatthey did not know about until they received the first draft of the paper.The few teams that reported the project plan did not support planning also acknowledged in theinterviews a lack of initiative (19%) as a barrier:There was a lot of ambiguity about who's gonna take over the leadership role. I felt like somefolks require, they wanted to have meetings every week when I didn't feel like it was necessaryand I felt like the path has been clearly laid out. I guess just in general I would say it kind ofreminded me of taking a step back from where I am in my career to being on that level where youare subject to everybody's wants and needs a lot more than I am now. To be honest with you
State Polytechnic University - Pomona Todd Coburn is an Assistant Professor of Aerospace/Mechanical Engineering at California State Poly- technic University Pomona, an FAA DER, and a stress/structures consultant. He joined Cal Poly Pomona in September of 2012 after a 25 year career at the Boeing Company and restarted his consulting work around that time. His work at Boeing included the structural analysis of aircraft and rockets. His last seven years at Boeing he managed the large and expanding commercial aircraft strength analysis team in Long Beach, California. He holds a PhD in Engineering & Applied Industrial Mathematics from Clare- mont Graduate University, MS degrees in Mechanical Engineering and
Paper ID #16805Personal Learning Environments: Analysis of Learning Processes, Reflection,and Identity in an Academic ContextMiss Judith Virginia Gutierrez, National Autonomous University of Mexico (UNAM) PhD. Science, Engineering and Technology Education. Postdoctoral Fellow at Universidad Nacional Autonoma de Mexico.Dr. Frida Diaz Barriga, National Autonomous University of Mexico (UNAM) The Mexican researcher and teacher Frida D´ıaz Barriga Arceo serves at the Faculty of Psychology of the National Autonomous University of Mexico. Her academic career includes a degree in Psychology, Mas- ter’s degree in Educational
to the tools listed in Table 1) received by in-serviceteachers.The major purpose of the Noyce program was to recruit pre-service science and mathematics teachers andimprove their computational and pedagogical skills. So far, as shown in Table 9, the Noyce program hasenrolled 16 interns (undergraduate students who have demonstrated some interest in teaching as a career)and 43 scholars (undergraduate and graduate students enrolled in the college’s teaching certificationprogram). Cumulative demographics for all cohorts (I through IV) indicate a distribution of 55% femaleand 45% male students. The interns have no obligations for the summer support they get other than takinga CMST course (e.g., CPS 101) afterward but the scholars are required to