what folksonomies looked like10,28.Most of this research used extant social tagging systems such as Flickr and Del.icio.us to collectdata12,20. Now that many of their key properties are better understood, further studies areemploying social tagging as a research tool to investigate research topics beyond socialtagging—often creating their own social tagging system. One well known example is thesteve.museum project where social tagging is being used to collect user descriptions of onlineholdings to enhance access and engagement29,30. Other projects include Jackon’s31 work onknowledge capture using social tagging to establish connections between captured tacit andprofessional knowledge within a large business organization. Another is Yew et al
introductoryscience education in physics, astronomy, chemistry, computer science, earth and oceanscience, and biology for individuals who have historically had difficulty accessing auniversity education 5. This is a free four-month, non-credit course offered to residents ofVancouver's Downtown Eastside and other inner-city communities, and no pre-requisiteknowledge is required. Inspired by the success of Humanities 101 6, 7, Science 101 beganin 2000, with an average of 25 students attending per year. Originally “funding for theprogram came from the UBC Alma Mater Society's Innovative Projects Fund, thePresident's Office and the Society for Canadian Women in Science and Technology.” 8How Librarians Got InvolvedOver the course of the past ten years, two UBC
University of Maine Industrial Assessment Center where he supervised the completion of over 200 in- dustrial assessments for New England manufacturers. In 2002, the center evolved into the University of Maine Advanced Manufacturing Center. As Executive Director of the AMC, he coordinated engineering outreach projects to support economic development in the state as well as supporting research centers on the University of Maine campus. Dr. Dunning is a registered Professional Engineer in the State of Maine and previous Chair of the Maine Section of the Institute of Electrical and Electronics Engineers. He is a Certified Energy Manager and provides C.E.M. training for the Association of Energy Engineers both nationally and
demonstratedthrough this project. Two minority students and then two honors research students benefittedfrom studying and testing creep behaviors of polymers on this tester. Limited set of results weredeveloped which clearly conformed to notions that both high temperature and higher stressdirectly affect thermal properties8, 9 of creep rate and creep life. A lot was learned about creepfailure and research experimentation for creep testing. The successful design, construction and Page 22.1569.8then testing of the tester triggered high interest in materials science in general and undergraduateresearch in specific. The materials lab at Southern Polytechnic State
screencasts to present example problems. Screencasts arerecordings of computer screen activity with supporting audio narrative. I have created severalscreencasts using a PC, microphone, and Camtasia software. I have used this software to createa series of screencasts for my Introduction to Environmental Engineering course. Students candownload and view the screencasts outside of class whenever they wish and wherever they haveinternet access.BackgroundScreencasts are recordings of on-screen activity and associated voice instructions. They havemost commonly been used as tutorials to teach computer software1 as they record mousemovements and clicks. For this project, I used Camtasia software and a headset withmicrophone.The screencasts were created in
style that is dominant. In traditional lecture classesstudents with the first three styles might find it more difficult to learn since they are not providedwith the experiences they need to master the material. Since it is difficult for them to understand,memorize, recall and meaningfully apply abstract concepts and formulas they will also haveproblems with examinations. In an unbiased population each learning style is equallyrepresented. If we project that 25% of the population fall in each learning style, approximately75% of the class will have problems mastering material that is presented in a lecture format.This becomes obvious when looking at test results. Few students have full mastery of theconcepts and, therefore, few score 100% on the
; Project-management skills; Structure and functions CV/Resume preparation; of NSF; Interviewing skills; Business etiquette; The importance of choosing a mentor;Table 2. Major learning outcomes from sessions by invited speakers.DiscussionFrom the findings, students obtained focused information and learned about professionaldevelopment skills over the first two weeks’ sessions. The skills learned include communicationskills, networking skills, and CV/resume preparation skills. They also learned the importance ofdeveloping a professional identity and emphasizing their impact in career statements (either
semesterFreshman Engineering course at Rowan University.AcknowledgementsThis project was funded by grants from the National Science Foundation, ECC 0540855 andDUE-0126902. Page 22.513.8References 1 Stephanie Farrell, Robert P. Hesketh, Mariano J. Savelski, and C. Stewart Slater. “Drug DeliveryExperiments in the ChE Curriculum.” 2005, American Society for Engineering Education. 2 Mathiowitz, Edith
. Effectively collaborate in a team setting 2. Apply critical and creative thinking to ambiguous problems 3. Construct and effectively communicate a customer-appropriate value proposition 4. Persist through failure to do what is needed to succeed 5. Effectively manage projects and apply the commercialization process 6. Demonstrate voluntary social responsibility 7. Relate personal liberties and free enterprise to entrepreneurshipWe will continue to work with the KEEN this summer and fall on the deployment andassessment of the KEEN Assessment Program, and feel that this is a critically necessary piece intelling the story of the successes in the KEEN programs, including Baylor’s KEEN Innovatorsprogram.The Future of the KEEN
-semester senior design capstone sequence. She has served as evaluator on a number of multi-institutional, interdisciplinary NSF sponsored grants. She is principal investigator on a NSF Research and Evaluation on Education in Science and En- gineering project called ”A Direct Method for Teaching and Measuring Engineering Professional Skills: A Validity Study.”Kirk A Reinkens, Washington State University Page 22.677.1 c American Society for Engineering Education, 2011 Experience with the College-Wide Transition from Paper to On-Line Course EvaluationsAbstractIn
Engineering Senior Project. California Polytechnic State University, San Luis Obispo, 2008.5. (Humar 1990) Humar, J. L. “Dynamics of Structures.” Prentice-Hall, Inc., New Jersey, 1990.6. (MathWorks 2009) MathWorks Inc. “Matlab 7 Getting Started Guide.” The MathWorks Inc. Natick, MA, 2009.7. (McDaniel and Archer 2009) McDaniel, C.C., Archer, G. “Developing a ‘Feel’ for Structural Behavior.” American Society for Engineering Education (ASEE) Annual Conference, 2009. Page 22.682.88. (McDaniel and Archer 2010a) McDaniel, C.C., Archer, G. C. “Full-scale, Real-time Building Dynamics Laboratory.” 9th U.S. National and 10th
handled both the degrees of freedom analysis andthe conflicting data.4. Failure number 1 – Project assignment and/or daily problem assignments At several points in the first development steps, the solution called “assign more practiceproblems!” was tried. The first time, 2-3 problems were assigned for each lecture. The secondtime, one of the Felder and Rousseau case studies was done in its entirety over the course of theterm. Mostly, this made the students exhausted, frustrated, and overwhelmed with work. Therewas some improvement in performance on the final exam, but that group of students also cameback years later with vivid memories – not of what they learned –but of how much they sufferedin the course. Recent research shows that deep
just beginning at the time that the article was submitted.Resources included a large classroom, projection system, laptop and an Internetconnection.Course Goals Assessment Using a scoring rubric consisting of proficiency scores from 1 to 4, the coursegoals were assessed using an assignment from the 2010 class with a score of 3 serving asthe benchmark. Table 1 shows the scoring rubric and corresponding levels ofproficiency.Proficiency DescriptionScore 4 Clear on concept, few minor errors 3 Minor conceptual errors 2 Major conceptual errors, some understanding 1 No conceptual understanding Page
of the visit (2, 5, 10, 15, 20, 30, 60 minutes) • individual or group • seated or standing • written work (on a white board or blank piece of paper) or noneAt the end of the semester we also recorded the number of emails exchanged with the student, aswell as any significant time spent with the student doing other activities, such as student clubs,department events, advising, additional projects or research, or sports. The college’s InstitutionalReview Board approved all data collection and protocols for protecting student’s identities. Allstudents gave their informed consent to participate in the study.First we examined the characteristics of all the student-faculty interaction, and compared theinteraction
are needed to better prepare new engineers for these challenging tasks.Relatively few instructional technology development efforts have focused on the area ofautomated system design and education. However, there are two related projects related to Page 22.435.2control of automated systems using PLC programming. For example, LogixPro 500(http://www.thelearningpit.com/) employs animated educational simulations of processes, suchas traffic control and batch mixing, to show how a ladder diagram relates to an automatedprocess. Students can start and stop the animations, and study the corresponding ladder diagramfor certain conditions or cases.The
reconstruction, PCM encoding/decoding,ASK, FSK and QPSK. Specially, as a course project, students used this equipment recordingtheir own speech signals, applied various modulation techniques they learned in classroom toprocess and transmit these signals and finally obtained the recovered speech signal from thereceiver. These kinds of experiments not only stimulated students’ interest but also enhancedtheir understanding of the principle of communication systems.Both Figure 9 and Figure 10 below show the wave form obtained by students from the labexperiments. They are Amplitude Modulation (AM) signal and Amplitude Shift Keying (ASK)signal, respectively. Next, we will use two experiments, AM and ASK as examples to show howthese lab experiments helping our
capabilities. These types of eBooks tend to contain embedded audio, video,simulations, and text into a centralized platform. In a nutshell, these are books with embeddedmultimedia capabilities.Our ApproachBased on a the idea that we could create a process for delivering a better book, we decided towork with eAcademicBooks to develop a multi-platform eBook capable of delivering text,multimedia (video, 3D, audio), and assessments across a variety of platforms including PC, Mac,iPad, and Mobile phones (iPhone, Android, Symbian, Win Mobile 7, Java ME).While the goal of the project was clearly grounded in the creation of the technology to create theeBooks platform, we decided early on that we needed to create a technological publishingplatform that managed
studies.References 1 Lara M. Triona and David Klahr, "Point and Click or Grab and Heft: Comparing the Influence of Physical Page 22.27.6and Virtual Instruction Materials on Elementary School Students’ Ability to Design Experiments”, Cognition andInstruction, 21(2) 149-173. 2 David Klahr, Lara M. Triona, Cameron Williams, “Hands on What? The Relative Effectiveness ofPhysical Versus Virtual Materials in an Engineering Design Project by Middle School Children”, Journal ofResearch in Science Teaching, 44:1, 183-203 (2007) 3 Nippert, C.R, "On line Experiments - The Results of The Online Widener
-technical students.To play the game, first students areselected as instruction decoder andprogram counter. While this can bedone at random, it is useful to choosestudents who are known to be able tofollow instructions. The remainingstudents play the roles of registers andmemory locations. Students playingmemory locations are given slips ofpaper with their address, numericalcontents, and the meaning of the Figure 4 - Program Listinginstruction. Registers are given slipswith the name of their register and Page 22.136.4possibly scratch paper and pencils. The instructor projects the instruction decoding rules for theclass and plays the role of the
innovation is realizedevery year.In the senior design course, student teams use a decision matrix to evaluate options for the mostimportant design decision of their project. The students identify and research options. Todevelop the list of options, they rely on the discovery competencies: associating, questioning,observing, experimenting, and networking. To determine which options are viable, they use Page 22.154.10their Discipline Competencies. Only the viable options are evaluated in the decision matrix.Their client either picks or approves the criteria the students use to evaluate the options, and theclient decides the relative importance of each
-Based Graduate Course in Advanced Quality ToolsAbstractThis paper examines in detail the development of a graduate-level ManufacturingEngineering Technology course in advanced quality tools. All areas of modern industryhave adopted a standardized set of tools and methods used in designing processes andcommunicating their performance. These cover a wide range of individual tools, fromProcess Failure Mode Effect Analysis (PFMEA) and Control Plans through the AdvancedProduct Quality Planning (APQP) and Production Part Approval Process (PPAP) totechniques such as 8 (or 9) Disciplines (8D or 9D) and related tools. These, combinedwith project management elements defined by the Six Sigma methodology such asDefine
) Spaceship Earth (4 minutes, 4 team members) Think Globally (4 minutes, 4 team members) International Trade (8 minutes, 4 team members) Letter-to-the-Editor (free topic, solo, letter submitted externally) International Business (8 minutes, 4 team members) Energy (3 minute elevator talk, solo, to Michigan Senator (actor)) Water (3 minute elevator talk, solo, to US Senator (actor)) The Internet (8 minutes, 4 team members, plus formal Q&A section) Water Scarcity (8 minutes, 4 team members, plus formal Q&A section) Final Project Proposal (6 minutes, 4 team members, Q&A section) Page 22.763.4 Final
ExxonMobil Diversity in Engineering Scholarship Program was developed as an effort byExxonMobil Corporation to assist LSU in attracting talented minority students (both Louisianaresidents and non-residents) to complete Bachelor of Science degrees in Engineering. In 2003,ExxonMobil Corporation contributed $250,000 over five years to establish a scholarship fund atLSU (Phase 1), and this partnership was renewed in 2009 with a second, five-year phase of$250,000 (Phase 2).Project Goals and ObjectivesThe initial goals of the program for each phase were to: recruit (Phase 1 only) and retainminorities, fund ten scholars for four years each, develop a mentoring program with ExxonMobilCorporation employees, and increase the participant graduation rate. It
affordable solutions for the Smart Grid Green House Gas (GHG) emissions and means of lowering carbon footprint of the Smart grid solutionsMany countries have been trying to develop the Smart Grid technologies by performing someprojects as test-beds with different points of view. The United States has some projects such asGridWise, GridWorks [8] and is trying to expand their results focusing on improving theefficiency of its old transmission and distribution networks. The European Union has SmartGridsprojects [9], while focusing mainly on stably adopting renewable energy resources. Canada isrunning Integration of Decentralized Energy Resources Program [10], and in Korea, a projectcalled K-Grid has been launched to design a highly
AC 2011-565: UNDERGRADUATE HOMEWORK ASSIGNMENTS THATACHIEVE DESIRED LEARNING OUTCOMESFiras Akasheh, Tuskegee University Dr. Akasheh is an Assistant Professor at the Mechanical Engineering Department at Tuskegee University. He joined in 2008.Denny C. Davis, Washington State University Dr. Davis is Professor of Bioengineering and Director of the Engineering Education Research Center at Washington State University. He has led numerous multidisciplinary research projects to enhance engi- neering education. He currently leads projects creating and testing assessments and curriculum materials for engineering design and professional skills, especially for use in capstone engineering design courses. He has been a Fellow
conceptual knowledge, miscon- ceptions and their repair, and conceptual change. He has co-developed a Materials Concept Inventory for assessing conceptual knowledge of students in introductory materials engineering classes and has NSF sponsored projects in the areas of: Modules to Promote Conceptual Change in an Introductory Materials Course, Tracking Student Learning Trajectories of Atomic Structure and Macroscopic Property Relation- ships, and Assessing Learning Modes on Conceptual Change.David L. Silverstein, University of Kentucky David L. Silverstein is the PJC Engineering Professor and an Associate Professor of Chemical & Materi- als Engineering at the University of Kentucky. He is assigned to the College of
how it works. Last, using a Girder and Panel hydrodynamic building set15, they constructed a continuous process (with water circulating) and observed the response of the system when various valves were closed, and described how a siphon in the process worked. 5. Synthesis of indigo: Using benzaldeyde, acetone and NaOH, each student synthesized indigo. Before beginning the lab, they had to show me that they had found and summarized the MSDS for each component. I demonstrated the use of a graduated cylinder, analytical scale and Buchner funnel for the nonengineering students. All students were instructed on yield calculations and waste disposal. 6. Project weeks: The students were given a
, then practice in translation could proveuseful. Translation as an activity in problem solving is noted by Diana Laurillard in herbook, Rethinking University Teaching: A Conversational Framework for the Effectiveuse of Learning Technologies, 2nd ed9. She discusses a crystallography lecture, in which areal world object (crystal) is represented three ways: the actual object, a threedimensional sketch, and a diagram derived from a mathematical representation. Theresponse from one student indicates translational difficulties: “There are so many ways of describing one crystal, it seems illogical. We draw it naturally, the way our eyes see it, then we’re told to draw it in three-dimensional projection to see it that
AC 2011-1778: UNIT OPERATIONS LAB BAZAAR: INCORPORATIONOF LABORATORY EXPERIENCES IN SIX INTEGRATED PILLAR COURSESMichael Jefferson Baird, University of Pittsburgh Dr. Baird joined the chemical engineering department at the University of Pittsburgh in the spring of 2008 as Instructor of Undergraduate Laboratory Courses. He also teaches a graduate course entitled ”Petroleum and Natural Gas Processing”. Before joining the University of Pittsburgh, Dr. Baird was an associate pro- fessor of chemistry at Wheeling Jesuit University for nine years following his retirement from the U.S. Department of Energy. While at DOE’s National Energy Technology Laboratory (NETL) in Pittsburgh, Dr. Baird managed projects involving the
the number of engineers, to attract more women and minorities, we need new models forlearning that better represent the hybrid nature of engineering and science that make these thearenas for innovation and discovery.References1 Brown, A. L. Design experiments: theoretical and methodological challenges in creating complex interventions in classroom settings. Journal of Learning Sciences 2, 141-178 (1992).2 Brown, A. L. & Campione, J. C. (MIT Press, Cambridge, MA, 1994).3 American Association for the Advancement of Science. Benchmarks for Science Literacy Project 2061. (Oxford University Press, New York, NY1993).4 Lisenmeier, R., Kanter, D.,Smith, H.,Lisenmeier, K.,McKenna, A. . Evaluation of a