STEM learning and instruction. c American Society for Engineering Education, 2017 Scaling for the Future: Development of a Sustainable Model for Teaching MATLAB Programming to STEM Students Bradley J. Sottile1, Stephanie L. Cutler2, and Alexa M. Kottmeyer2 1 School of Electrical Engineering and Computer Science, The Pennsylvania State University 2 The Leonhard Center for the Enhancement of Engineering Education, The Pennsylvania State UniversityAbstractAn undergraduate programming language course in MATLAB has experienced explosiveenrollment growth over the last decade at the Pennsylvania State University’s University Parkcampus. To adapt to the huge growth in
Preliminary Investigation into the Use of Audience Video Recordings to Assess Student Engagement During Large Lecture Classes Matthew Bilsky, PhD,1 Christian Davis1, Kiana Wright2, and Kumar Swagat1 1 Lehigh University, Mechanical Engineering and Mechanics 2 Lehigh University, Material Science and EngineeringAbstractTwenty-first century higher education is moving from a faculty-centered teaching model tostudent-centered learning. With this change the question has become are the students learning?This study presents a method for direct, authentic, and formative assessment of the studentengagement level during various lecture techniques in large classes. The basis for this study is thatstudent
number of keystone events addressing the potential for a “SilentSpring” and the “tragedy of the commons”, for example [1]-[2]. Shortly after the NationalEnvironmental Policy Act, the creation of the Environmental Protection Agency, and theestablishment of Earth Day, Saarinen [3] emphasized the need to understand the link betweenhuman activity and environmental impact as future decisions grow in significance. These conceptsare not new as Thomas Malthus [4] emphasized the stresses the human population may place onresources essential for continued survival may result in collapse due to essentially exceeding theEarth’s carrying capacity. Although technological improvements provide a means to continuallychange projected resource exhaustion, the
design and enhancing creativity in engineering design settings. c American Society for Engineering Education, 2017 Paper ID #20989Dr. Kristen A Lee, Menlo College c American Society for Engineering Education, 2017 Assessment of Progressive Learning of Ethics in Engineering Students Based on the Model of Domain Learning Esparragoza, Ivan1, Kulturel-Konak, Sadan2, Konak, Abdullah2, Kremer, Gül3, and Lee, Kristen4 1 Penn State Brandywine 2 Penn State Berks
. Figure 1: Main page of the ABRS websiteDesign SummaryThe backend server for the ABRS project uses a cloud-based solution. The benefits of thisapproach include no initial hardware setup, high reliability, and reduced cost. Heroku3, a cloud-based Platform-as-a-Service (PaaS) provider, was selected for the ABRS project. Heroku providesseveral advantages over other providers such as Amazon Web Server (AWS). Heroku is easy touse and provides a streamlined mechanism for deployment. Heroku also offers a free tier that iswell-suited for this project. One limitation of Heroku’s free tier is that the ABRS web applicationcan only run 18 out of every 24 hours. However, this does not impact the ABRS system sincerentals are only permitted during daylight
Disorders, International Journal of Industrial Ergonomics, Ergonomics, and Safety and Health at Work. c American Society for Engineering Education, 2017 Case Study of a Video Game Design & Development Course for Mechanical Engineers Joseph M. Mahoney1 1 Penn State Berks, Division of EngineeringAbstractAnecdotally, it has been observed that many engineering students are not motivated to learn orapply computer programming in their courses. Possibly, this is due to computer science topicsbeing pushed upon them rather than students learning them as needed. A senior-level video
future interdisciplinaryassignments while eliminating potential grading bias. This type of assessment methodologycould benefit students, by introducing them to advantages coming from broader knowledge, andeducators, by letting them develop cross-disciplinary assignments that are resilient to instructor’sgrading bias while stimulating students interests.KeywordsAssessment, common assignment, grading bias, interdisciplinary courses.IntroductionStudent learning outcomes are commonly defined as “any change or consequence occurring as aresult of enrollment in a particular educational institution and involvement in its programs”1.Assessment is the process of defining, selecting, designing, collecting, analyzing, interpreting,and using information to
sub-minute data binningcapability of the QuarkNet detector, future muon fluctuation volatility analysis by high schoolteachers and students for solar event analysis projects is discussed.KeywordsMuon detection, fluctuation volatility, solar eruption, magnetic cloud, high school research projectIntroductionQuarkNet is an association of physicists, college physics professors and high school physicsteachers dedicated to infusing the standard curriculum with contemporary physics. It providessummer programs for teachers and activities for students 1. Each center is based at a college withsome connection to high energy physics. Surprisingly, New York City has not had an activeQuarkNet center for a long time. In 2016, Queensborough Community College
Education, 2017 Design and construction of a cosmic ray detector array for undergraduate research at the City University of New York R. Armendariz,1,2 D. Buitrago,1 T. Cheung,1 D. E. Jaffe,3 M. Kennedy,2,4 G. Stoddard,2,4 A. Zhang3 1. Department of Physics, Queensborough Community College 2. Department of Physical Sciences, Suffolk County Community College 3. Physics Department, Brookhaven National Laboratory 4. Department of Engineering, Stony Brook UniversityAbstractCosmic ray detectors are being built by undergraduate engineering and computer scienceresearch students, high school teachers, and college
mechanical properties of metals in their own built testers has been conducted.Specifically, the following two design-build projects were assigned to teams consisting of 3-4students: - Project 1: Design-build a tester for studying the axial load/displacement behavior of wire samples (modulus of elasticity, yield strength, ultimate strength, elongation at break, etc.) - Project 2: Design-build a tester for studying the torque/twist behavior of rod samples (shear modulus, shear yield strength, etc.)Each project was expected to be completed in five weeks followed by a week of testing,demonstration, instructor feedback, and final reporting. There were three distinct phases for eachproject.Problem Statement, Conceptualization, and
Bioengineering Institutional TrainingDisciplinary Multidisciplinary Interdisciplinary Integrative Program in Complex Biological Systems (UCSF) Challenge 1 – Design and build a fluorescent microscope fromThis HHMI-NIBIB component parts, using it toInterfaces Program, analyze an unknown spectrum.using Boot Camps incomputation and Challenge 2 – Given a set ofmolecular biology and yeast samples, deduce whatTeam Challenges in molecular perturbation occurredbiomedical imaging, prior
. 22Each sector that becomes cyber-enabled becomes vulnerable to attack. Healthcare,education, and finance are already at risk, and physical infrastructure –manufacturing, energy production, and transportation – will be next. This trendtoward increasingly cyber-physical systems, the integration of computation,communication, and control into physical systems, will continue to offer newchallenges.Consider, for example, the recent STUXNET worm. Discovered in July 2010, this worm targeted SCADA systems that were configured tomonitor and control a kind of centrifuge used in Iranian nuclear fuel processing facilities.1. “We monitored sensitive transmissions about operations by agents in every Federal law enforcement agency in the Department of
Strategies for Effective University‐Industry Strategies for Effective University‐Industry Research Collaborations ASEE ERC March 14, 2010 1 Why Partner? Why Partner?© 2009 Anthony Boccanfuso Some Facts ¾ Industry funding typically represents 5 Industry funding typically represents 5‐10% 10% of a university’s R&D portfolio¾ NSF survey shows that 60% of all successful NSF survey shows that 60% of all successful small firms have a strategic business partner and 40% have strong ties to partner and 40% have strong ties to university researchers¾ 55 60% f h l h R&
) Lithium Ion Laptop Battery: $2000/kWhr Lithium Ion Car Battery: $1000/kWhr 1 1 Sampling of New Programs Wayne Gretzky “I skate where the puck is going to be, not where it has been” “You miss 100% of the shots you don’t take”BATTERIES FOR ELECTRICAL ENERGY STORAGE FOR TRANSPORTATION (BEEST) Where We Are Now Where We Need to Go § Broad range of vehicle types
) Lithium Ion Laptop Battery: $2000/kWhr Lithium Ion Car Battery: $1000/kWhr 1 1 Sampling of New Programs Wayne Gretzky “I skate where the puck is going to be, not where it has been” “You miss 100% of the shots you don’t take”BATTERIES FOR ELECTRICAL ENERGY STORAGE FOR TRANSPORTATION (BEEST) Where We Are Now Where We Need to Go § Broad range of vehicle types
research at the FDA: 1)Faculty at FDA; 2) Graduate Student Fellowships; 3) PostdoctoralFellowships; and, 4) Undergraduate Student Research Experiences.Number of Awards Anticipated: 3 to 10Funding Anticipated: $500,000Due Dates: April 27, 2010; March 15, 2011; March 15, AnnuallyThereafter CBET/DOE Initiative• Details Expected to Be Public Soon13 FY 2010 NSF Initiatives FY10 Budget Request to Congress è Cyber-enabled Discovery and Innovation (CDI) è Science and Engineering Beyond Moore‛s Law (SEBML) è National Nanotechnology Initiative (NNI) è RE-ENERGYSE è Graduate Research Fellowships (GRF) è CAREER Awards è Broadening Participation è Science & Technology
to Know • What are your research and educational objectives? – This is what directs your proposal to the appropriate program • What is your approach? – Outline — just a few sentences • What is the specific research contribution you will make to the knowledge base (the intellectual merit)? • If successful, what will be the benefit to society (the broader impact)?Thank You!Backups 12 Steps to a Better Proposal 1. Know yourself ‐ strengths/weaknesses 2. Know the program from which you seek support 3. Read the program announcement and GPG 4. Formulate clear and appropriate research and education objectives 5. Develop a viable plan 6. State your objectives up front in your proposal 7. Frame your
advance thinking and foster network to discover discovery and nurture new – Leading collaboration on ground opportunities to breaking programs improve business and life – Identifying the next set of technology breakthroughs 20 ©2009 HP Confidential ©2009 HP LABS INNOVATION RESEARCH PROGRAM Program Intent – IRP creates opportunities for breakthrough collaborative research between HPL and university researchers WW – Goals for our RFP program 1. Provide opportunities for HPL researchers to collaborate with current partners and explore new research relationships
Directorate for Engineering FY 2011 Budget Request Thomas W. Peterson Assistant Director for Engineering March 16, 2010March 16, 2010 ENG Use of ARRA Funding • Young Investigators • Education and Workforce Development • High Risk / High Reward • Translational Research ENG Use of ARRA Funding • Young Investigators – 80 additional CAREER awards – 15 additional BRIGE awards – 16 additional GRF in addition to the 80 Women in Engineering (WENG) GRF Fellows funded annually by ENG – 1 additional IGERT in the area of energy • Education and Workforce Development – 40 Postdocs in Industry – 17 additional REU/RET awards – 76 additional Education awards
, Colorado State U, National Renewable Energy Laboratory, U Colorado (Boulder) • Mechanisms: ? • Objectives: create and speed the commercialization of renewable energy technologies, energy management systems, and energy efficiency 30 References 1 AAAS R&D Budget and Policy Program Guide to R&D Funding Data Historical Table 1 available at http://www.aaas.org/spp/rd/guihist.shtml 2 “Federal Government is Largest Source of University R&D Funding in S&E; Share Drops in FY 2008”, Ronda Britt, NSF 09318 available at http://www.nsf.gov/statistics/infbrief/nsf09318/ 3 Map of DOE Laboratories from http://www.science.doe.gov
, Colorado State U, National Renewable Energy Laboratory, U Colorado (Boulder) • Mechanisms: ? • Objectives: create and speed the commercialization of renewable energy technologies, energy management systems, and energy efficiency 30 References 1 AAAS R&D Budget and Policy Program Guide to R&D Funding Data Historical Table 1 available at http://www.aaas.org/spp/rd/guihist.shtml 2 “Federal Government is Largest Source of University R&D Funding in S&E; Share Drops in FY 2008”, Ronda Britt, NSF 09318 available at http://www.nsf.gov/statistics/infbrief/nsf09318/ 3 Map of DOE Laboratories from http://www.science.doe.gov
) Basic (6.1) l NSF: CEMMSS cross-agency initiative Source: DOD R-1 and historical data. Medical Research is boosted appropriated outside RDT&E title. © 2015 AAAS Agency Notes (Cont.) DOE Office of Science Budgetsl Defense S&T flat, including DARPA Budget Authority in millions of constant FY 2015 dollars l 8.3% cut to basic research $2,000 $1,800 $1,600 $1,400l Energy: Large increases, again, for $1,200 renewable and efficiency
2009 2010 2011 2012 2013 2014 Note that College costs increasing significantly faster than inflation Materials Research Science & Engineering Centers (MRSECs)• 1972 NSF established DMR with MRLs• MRSECs must have 2 or more Interdisciplinary Groups (IRGs)• Flexibility to develop new areas, support for ‘Seeds’• Education and REU• Shared experimental facilities• Competition every 3 years – 6 year awardsPO: Dan Finotello MRSEC FY14 CompetitionØ 12 awardsØ Columbia – new MRSEC – one IRG assembling materials from molecular clusters and another on 2D materialsØ Three 1 IRG MRSECs went to 2 IRGs Ø Brandeis – new IRG materials for artificial muscles, self-pumping fluids