analysis using interactivesoftware packages. This material is included in an introductory computing course or as part of anintroductory engineering course. The introduction to data modeling and analysis (described byShacham et al, 1996) includes the following subjects:1. Basic statistical concepts.2. Discrimination between real experimental data and smoothed interpolated data.3. Using residual plots and confidence intervals for selecting the most appropriate model.4. The dangers of extrapolation, in particular, when a non-theory based model is used.This introductory material is very helpful to the students for modeling and analyzing their owndata. However, they may need more advanced material when dealing with, for example, modelscontaining large
traditional groupwork, inthat most cooperative learning models adhere to the following principles (TheConsortium for Instructional Innovation, 1995):1. The tasks are carefully designed to be suitable for teamwork.2. Positive interdependence and cooperation is necessary for students to succeed.3. Students are individually accountable for learning and participation.4. The role of the teacher changes from being the “sage on the stage” to “the guide on the side,” hence our reference to the etymology of the word pedagogue.Team formation strategy is an important aspect of the cooperative learning process,because successful accomplishment of the exercises depends upon the structure of theteam.Multimedia Educational ApplicationsDuring the past decade
hours defined as “a contact hour (nominal) Page 3.159.2of instruction or presentation.” 2According to the NCEES guidelines “PDH units may be earned as follows:1. Successful completion of college courses.2. Successful completion of continuing education courses.3. Successful completion of correspondence, televised, videotaped, and other short courses/tutorials.4. Presenting or attending qualifying seminars, in-house courses, workshops, or professional ortechnical presentations made at meetings, conventions, or conferences.5. Teaching or instructing in (1) through (4) above.6. Authoring published
-documented benefit to allparticipants. The active and committed efforts of the local building industry and the AGC hasbeen essential to the success of the program. Cooperation from MSU, the students, and the AGCcan further enhance the program to include more students, more employment and more success. ReferencesDubick, R. A., McNerney, R. B. Potts, B. K. (1996). Career Success and Student Satisfaction: A Study of ComputerScience Cooperative Education Graduates. Journal of Cooperative Education XXXII(1):66-74.Stern, D., Finkelstein, N., Stone, J., Latting, J., and Dornsife, C. (1995). School-to-work: Research on programs inthe United States. Bristol, PA: Falmer PressWagstaffe, D. R. (1995
college instruction withconstructive controversy. ASHE-ERIC Higher Education Report, 25. Washington, D.C.: The George WashingtonUniversity.Johnson, D.W., Johnson, R.T., & Smith, K.A. 1998. Maximizing instruction through cooperative learning. ASEEPrism, 7(6), 24-29.Smith, K.A. 1995. Cooperative learning: Effective teamwork for engineering classrooms. IEEE EducationSociety/ASEE Electrical Engineering Division Newsletter. March, 1-6.Smith, K.A. 1996. Cooperative learning: Making "groupwork" work. In C. Bonwell & T. Sutherlund, Eds.,Active learning: Lessons from practice and emerging issues. New Directions for Teaching and Learning 67, 71-82.San Francisco: Jossey-Bass.Smith, K.A. Grading cooperative projects. In B. Anderson & B.W. Speck
references 1 to 4). According to Professor Leifer of Stanford University,"Learning is best done by creating something, a product, that embodies our knowledge. This isproduct-based-learning”. He goes on noting that "PBL is defined as problem oriented, projectorganized learning activity that produces a product for an outsider". [5]A background of the degree program within which this course is taught will first be provided.Then the course structure and organization will be described.Project Management Course at Fort Leonard WoodThe University of Missouri-Rolla (UMR) is one of the four campuses of the University ofMissouri system. The MS degree program in Engineering Management is offered on the Rollacampus and as outreach programs at the UMR
graduation class): 1) Time-resolved Frequency Upconversion (NASA, NSF, DOD, Presidential) Christopher Striemer, ’97. 2) Fourier Optics and Imaging, (NASA, Presidential) Matthew Blasczak, BS ’97, MS ’98. 3) Data Acquisition and Control Software, (NASA, Presidential), Michael Albright, ’97. 4) Java Educational Applet Programming, (NASA), Menq Pan, ’97. 5) Optical Non-destructive Testing, (NASA), Nathan Merkel, ’98. 6) C++ and Java Programming, Matthew Matteo ’96, Ross Padak, Jon Drury, Keith Nowicki Page 3.162.2 ’97. The rewarding experience of working with these students reinforced the
effective in large classes. The strategies help in increasing classparticipation, problem solving, critical thinking, communication, collaborativelearning,attention, and attendance. Over 80 to 90 percent of the students indicate that thesestrategies are useful in enhancing the teaching-learning process in large classes. I. INTRODUCTION Cooperative learning involves students working in groups on problems or projects suchthat it fosters positive interdependence, individual accountability, leadership, decision making,communication, and conflict management skills [1]. Research indicates that cooperativelearning also enhances short-term mastery, long-term retention, understanding of coursematerial, critical
Session 1461 Cooperative Learning: An Interdisciplinary Approach to Problem-Based Environmental Education Dennis B. George, Melissa S. Goldsipe, Arthur C. Goldsipe, Martha J.M. Wells, and Harsha N. Mookherjee Center for the Management, Utilization, and Protection of Water Resources/Department of Sociology, Tennessee Technological UniversityBeginning in the year 2001, engineering education programs in the United States seekingaccreditation will be evaluated according to Engineering Criteria 2000 developed by theAccreditation Board for Engineering and Technology 1. Outcome
recently begun to discuss standards that would apply specifically toU.S. universities with operations abroad. In the summer of 1994, theCenter for Quality Assurance in International Education co-sponsored anad hoc meeting of national association representatives to explore thequestion, "Does U.S. higher education need a foreign policy?" A followup meeting was held in December. The result was a set of standards putforth for discussion by Steve Crowe, Deputy Director, North CentralAssociation of Colleges and Universities. The standards were later revisedand published as "A Voluntary Presentation of Standards for U.S.Institutions Offering Credit - Bearing Programs Abroad." [1
recently begun to discuss standards that would apply specifically toU.S. universities with operations abroad. In the summer of 1994, theCenter for Quality Assurance in International Education co-sponsored anad hoc meeting of national association representatives to explore thequestion, "Does U.S. higher education need a foreign policy?" A followup meeting was held in December. The result was a set of standards putforth for discussion by Steve Crowe, Deputy Director, North CentralAssociation of Colleges and Universities. The standards were laterrevised and published as "A Voluntary Presentation of Standards for U.S. [1]Institutions Offering Credit - Bearing Programs Abroad
recently begun to discuss standards that would apply specifically toU.S. universities with operations abroad. In the summer of 1994, theCenter for Quality Assurance in International Education co-sponsored anad hoc meeting of national association representatives to explore thequestion, "Does U.S. higher education need a foreign policy?" A followup meeting was held in December. The result was a set of standards putforth for discussion by Steve Crowe, Deputy Director, North CentralAssociation of Colleges and Universities. The standards were laterrevised and published as "A Voluntary Presentation of Standards for U.S. [1]Institutions Offering Credit - Bearing Programs Abroad
student responses and response times as well as informationon gender, current major, number of previous graphics courses completed, and method used tosolve the test items. The theoretical framework of the study is based on Paivio’s dual-codingtheory [1]. Coordinate axes were added to a portion of the PSVT for the experimental group todetermine if the axes provided contextual cues necessary to improve scores and response times.The researcher hypothesized that coordinate axes would provide verbal cues that could be codedalong with nonverbal information to improve mental rotation efficiency. The additionalcoordinate axes slightly (but not significantly) improved scores on the PSVT, but not responsetimes.Introduction Spatial ability has been
in (1) computational procedures for physical equilibrium, chemical equilibrium, andmultiple equilibrium-stage separation operations for multicomponent mixtures, and (2)correlations for thermodynamic properties, especially fugacities, activity coefficients, enthalpies,and enthalpies. Both of these developments had the potential to greatly increase the accuracy ofprocess design.Prior to the 1950s, stage and reflux requirements for multicomponent distillation weredetermined by (1) graphical pseudo-binary methods using McCabe-Thiele or Ponchon-Savaritdiagrams, (2) the shortcut procedure of Fenske, Underwood, and Gilliland, or (3) very tediousand iterative stage-to-stage calculations, one equation at a time, using the Lewis-Matheson orThiele
. The design features a single 8-bitregister (the accumulator) for data processing and I/O, one flag (the zero flag) for conditionaltesting, an 8-bit register for use as the program counter, and a 256-byte memory store. A verysimplistic instruction set containing a minimal amount of features is then provided. Thisinstruction set, shown in Figure 1, allows for simple processing of integer values through the useof load, store, add, branch, input, and output operations. The load and add operations can beperformed with either immediate or stored values. Both the input and output operations interactwith the user through use of TextField objects. The instruction set also includes an end operationso that the simulation can be halted when execution is
AC 2010-569: HIGH SCHOOL ENTERPRISE: AUTHENTIC ENGINEERINGEXPERIENCES IN SECONDARY EDUCATIONDouglas Oppliger, Michigan Technological UniversityJean Kampe, Michigan Technological UniversityValorie Troesch, Michigan Technological Univeristy Page 15.642.1© American Society for Engineering Education, 2010 High School Enterprise: Authentic Engineering Experiences in Secondary EducationAbstractThe need for more, and better prepared, individuals entering STEM (science, technology,engineering, and math) education is well documented by several organizations.1 High SchoolEnterprise (HSE) is an extra- or in-curricular school activity in which students
hesitating to shoot for the stars. Also, while it is a good idea tohave a #1 choice, I advocate it is better to have groups or tiers of choices, so you are notdisappointed in the scenario where you don't get your #1 choice. Getting into a few of your toptier schools, while maybe missing out on your #1 choice, can still make you feel good about thewhole application process. Since I was not precisely sure what area of research I wanted to Page 15.1163.3study, I selected a school that had the widest breath of topics with the most promising research.My selection was also strongly weighted by cordial and friendly atmosphere coupled with asincere sense of
identify both thefrequency and extent of how these forms of scholarship are used in P&T considerations atuniversities and colleges within the US. Social science models of SOES-l do not seem to fitprofessional disciplines such as E&T. For E&T programs, the SOES-l is of necessity focused onfaculty’s interaction with industry as well as traditional community partners needing atechnology centric consult. Student involvement comes in the form of projects, either episodicor continuous with both communities. Currently, the axis of control for faculty reward systemsare operationalized by the values placed on: 1. refereed journal publications 2. funded projects and grants that pay the federal overhead rate 3. outside
needfor refinement in the scale and changes in the GTA professional development. The point here isnot to test the reliability of a rubric but rather to understand how the GTAs are assessingstudents’ responses to the individual questions so that better assessment strategies can bedeveloped, where assessment strategies encompasses (1) professional development with problemformulation, (2) professional development with assessment, and (3) assessment rubrics andassociated training materials.II. MEAs DescriptionsModel-Eliciting Activities (MEAs) are client-driven, open-ended problems that require studentsto use one or more mathematical or engineering concepts that are unspecified by the problem,make sense of new knowledge and understandings delivered
microcomputer with 16 assembly instructions, an 8-bitaddress bus, four input and four output ports organized as shown in Figure 1. Thememory is broken into 176 nibbles of ROM and 80 nibbles of Random Access Memory(RAM). It uses port-mapped I/O with separate memory and input/output (I/O) selectsignals. Register-transfer-logic (RTL) design techniques were used to implement thecontroller and datapath. The controller is a relatively simple mealy state machine shownin Figure 2.Figure 1. PRISM Top-Level Diagram. Figure 2. PRISM Controller State DiagramThe datapath, shown in Figure 3, uses both combinational and sequential logiccomponents. An arithmetic logic unit (ALU) performs both arithmetic and logicoperations when program instructions demand
2003 Distinguished Teacher Award. In 2004, he was selected for a three-year term as a Senior Faculty Fellow of NYU-Poly’s Othmer Institute for Interdisciplinary Studies. His scholarly activities have included two edited books, 4 chapters in edited books, 1 book review, 40 journal articles, and 90 conference papers. Moreover, he has mentored 67 high school students, 86 high school teachers, 21 undergraduate summer interns, and 11 undergraduate capstone-design teams, and graduated seven M.S. and four Ph.D. students.Magued Iskander, Polytechnic University MAGUED ISKANDER is Associate Professor and Graduate Adviser of the Civil Engineering Department at Polytechnic Institute of NYU, Brooklyn
thetwo semesters of the student’s senior year. The requirements set forth for the capstone groupwas to produce an R2D2 robot which could move on flat surfaces via remote control,autonomous navigation, and a combined mode where manual remote control would beaugmented by collision avoidance capability. In the latter two modes, obstacles were to besensed and avoided, regardless of travel speed. Walls, objects and barriers were to be mappedand displayed on a retractable color screen on the R2 unit. In autonomous mode, those obstacleswere to be navigated around. The unit was to make appropriate sounds consistent with thosemade by the R2D2 in the movies. A battery lifetime of 1 hour between charges and a maximumspeed of 5 mph were expected. Kill
projectoutcomes are listed. Lessons learned from this project at VSU as well as the intellectual merit ofthe program are outlined. The broader impact of the project is discussed.IntroductionIn 2005, the National Science Foundation awarded a Historically Black Colleges and UniversityUndergraduate Program (HBCU-UP) Implementation grant to the Virginia State University(VSU).The HBCU-UP Implementation Project provides support to implement a comprehensiveinstitutional project to strengthen STEM education and research. The strategies should be theresult of an institutional STEM self-analysis, address institutional and NSF goals, and have thepotential to result in significant and sustainable improvements in STEM program offerings 1.The UniversityVirginia State
developing new research, development, and applications programs supporting government and private industry in product / process design improvements based on new rapid applications software, enhanced constitutive models using multi-scale concepts, and software verification and validation based on real world applications. 2003-2007: Director, Center for Advanced Vehicular Systems, Extension, Mississippi State University Developed and implemented strategic plan and operational concept for technology transfer of R&D products developed at Mississippi State University to Nissan, Tier-1 suppliers, and small to medium size industries in Mississippi. 2001-2003: R
of thisexperience by stating that “Students who use their learning to solve real-world problems findthey not only gain a stronger understanding of material they have studied, they are betterprepared to absorb new information when they return to classes [1]. Work integrated learningexperiences allow students to better understand how skills and knowledge will be mostmarketable in assisting them to transition into their professional fields. In addition, students withprofessional experience gained through these types of experiences have a competitive edge overtheir counterparts in the job market. This is particularly important in today’s tight job marketwhere competition for opportunities can be intense and students find themselves
requirements declare their major discipline. Discipline-specific courses begin in the Fall of the sophomore year.Statics as a Pre-requisite to DynamicsUnder the old curriculum, students were expected to take Statics in their first semester as amechanical engineering student, and then proceed to Dynamics in their second semester, asshown in the Figure 1. The curricular content in the first and second semesters was thereforequite limited because students would not yet have mastered the fundamentals of engineeringmechanics. Students were not fully immersed in mechanical engineering content until theirjunior year. Foundations of Mechanical Systems was taught co-requisite with Statics, thereforeinstructors had their hands tied, and were forced to limit the
which was to developexperiments that would provide undergraduates with a firm grounding in structural dynamics.Numerous teaching models that were used to achieve this goal are on the UCIST’s website3.However, though the UCIST provided detailed structural dynamic experiments, they did notprovide soil dynamics experiments particularly those related to liquefaction induced damage tothe built environment.Liquefaction, which is the loss of strength of supporting soil, is one of the major factorscontributing to severe damage to the built environment in various forms such as groundsettlement and movement, slope failure, damage to buried utility lines. Figure 1 shows aphotograph of liquefaction induced damage to structures after 1964 Niigata earthquake
soil.Biodegradability Testing Using Biometer FlasksEquipment / Reagents required to set up test: Page 15.231.5One (1) Biometer Flask assembly 250 mL10 mL Syringe15-gauge syringe needleScale to weigh samplesMoisture meterpH meter0.5N Potassium Hydroxide (KOH)Ascarite-20 mesh; 20-35 grams per biometer flaskSoilCompostTest SampleGlycerolProcedure to set up the test: 1. Obtain approximately 100 grams of soil that must be sieved to a particle size of at least 2mm. 2. Add 1 gram of compost to each 25 grams of soil. 3. Test soil's pH (pH must be between 6 and 8). 4. Test moisture content of soil (50-70%). 5. Obtain sample material (approximately 500 mg
objectives such as to create a unique product or service, usually to bringabout beneficial change or added value. The primary challenge of project management is tosuccessfully achieve all of the project goals and objectives within the project constraints relyingon optimized allocation and integration of inputs and resources. The challenge of projectmanagement comes often in the form of nonlinear progresses typically with multiple iterations.Projects can be modeled to have some common structures such as project lifecycle as illustratedin Figure 1. Although the Fig. 1 shows a more linear progress of the project development, oftenthe Project Planning and Design, Execution, and the Monitor & Control interact with each otherresulting in a repetitive