(SEM608)The innovative approach here is to have the teams design games, create and play them(demonstrate) game that would demonstrate one or more of the sustainability 3 Es.This approach served and supported multiple purposes. The project needed to be practicalenough to demonstrate in a game. As the teams developed the projects from concept and movedtowards implementation, they also needed to think about what and how to design anddemonstrate the project objectives in their game. In other words, teams were not designing agame totally independent of the subject matter involved in their project. Their project needed tosupport the course learning objective(s) – so this becomes an integrated approach. The gamesapproach also bring in some ‘randomness
reached maximum fuel consumption rate toward the end of the burn sequencewhereas maximum burn rate was achieved near the beginning of the direct combustion process.For the gasifier running with 30 g and 40 g initial fuel mass, the maximum fuel consumption ratewas 0.093 g/s and 0.100 g/s respectively, and these maximum rates occurred after the entiresystem had time to warm to operating temperature. By contrast, the direct combustor runningwith 40 g of fuel achieved a maximum fuel consumption rate of 0.067 g/s, which occurred nearthe beginning of the process before the system had warmed up. For the direct combustor running30 g of fuel, the wood chips likely had higher moisture content and were too tightly packed tofully burn. So, the flame
, P. Alanís, J.A. y Pulido, R. (2011). Cálculo de una variable. Reconstrucción para su enseñanza y aprendizaje. DIDAC, 56-57. Universidad Iberoamericana: México. 8. Rodríguez, R. (2007). Les équations différentielles comme outil de modélisation en Classe de Physique et des Mathématiques au lycée : une étude de manuels et de processus de modélisation en Terminale S. Tesis doctoral. Escuela Doctoral de Matemáticas, Ciencias y Tecnologías de la Información. Universidad Joseph Fourier, Grenoble, Francia. Recuperado el 6 de febrero de 2011 de: http://tel.archives- ouvertes.fr/docs/00/29/22/86/PDF/TheseRuthRdz.pdf. 9. Rodríguez, R. (2009). Differential Equations as a tool for mathematical modelling in Physics and
presentations–thirteen plenary–at international and national forums, conferences and corporations. Since 1994, he has directed an extensive engineering mentoring-research academic success and professional development (ASAP) program that has served over 500 students. These efforts have been supported by NSF STEP, S-STEM, and CSEM grants as well as industry. Dr. Rodriguez’ research inter- ests include: control of nonlinear distributed parameter, and sampled-data systems; modeling, simulation, animation, and real-time control (MoSART) of Flexible Autonomous Machines operating in an uncertain Environment (FAME); design and control of micro-air vehicles (MAVs), control of bio-economic systems, renewable resources, and sustainable
engineering design problem. Toachieve the goal of assessing student thought processes of authentic engineering designproblems, students must be able to demonstrate the requirements of design including producing(1) narrative discussion/description, (2) graphical explanation, (3) analytical calculations, and (4)physical creation 3 . Although semantically varying, Wicklein s 3 assertion proffers that studentsshould be able to demonstrate their understanding of engineering design through the fouraforementioned models; conceptual, graphical, mathematical, and physical or working. It is ourhypothesis that in order to gain a better understanding of conceptual knowledge and studentcognitive abilities, behavior should be demonstrated through the creation of
Pressure Split Bar for material properties characterization under high speed deformation. During the undergraduate studies, Mr. Dyab worked as a team leader for AIRSPACES Project (Air-propelled Instrumented Robotic Sensory Platform(s) for Assateague Coastline Environmental Studies) at UMES from 2010 to 2012.Dr. Payam Matin, University of Maryland Eastern Shore Dr. Payam Matin is currently an Associate Professor in the Department of Engineering and Aviation Sciences at the University of Maryland Eastern Shore (UMES), Princess Anne, Maryland. Dr. Matin has received his Ph.D. in Mechanical Engineering from Oakland University, Rochester, Michigan in May 2005. He has taught a number of courses in the areas of mechanical
: http://www.abet.org [2] S. S. Moor and B. D. Drake, "Addressing Common Problems in Engineering Design Projects: A Project Management Approach," Journal of Engineering Education, vol. 90, pp. 389-‐395, 2001. [3] J. D. Bransford, A. L. Brown, and R. R. Cocking, How People Learn: Brain, Mind, Experience, and School. Washington, DC: National Academy Press, 2000. [4] J. L. Faust and D. R. Paulson, " Active Learning in the College Classroom," Journal on Excellence in College Teaching, vol. 9, pp. 3-‐24, 1998. [5] R. R. Hake, "Interactive Engagement vs. Traditional Methods: A Six
, VA:Association for Supervision and Curriculum Development.[3] Brown, A.L. (1992). Design experiments: Theoretical and methodological challenges in creating complexinterventions in classroom settings. Journal of the Learning Sciences, 2(2), 141-178.[4] Blumenfeld, P.C. et al. (1991). Motivating project-based learning: Sustaining the doing, supporting thelearning. Educational Psychologist, Vol. 26, pp.369-398.[5] Harel, I., & Papert, S. (1990). Software design as a learning environment. Interactive Learning Environments,1(1), 1–32.[6] Harel, I, & Papert, S. (1991). Constructionism. Norwood, NJ: Ablex Publishing.[7] Perkins, D. N. (1986). Knowledge as design. Hillsdale, N.J: Lawrence Erlbaum Associates.[8] Mishra, P., Koehler, M. “Technological
Estimator was designed as an assessment instrument. However, one of thequestions addressed in the present research is whether noticeable learning occurs betweenproblems. In other words, do students improve from one problem to the next? Since eachproblem presented in the 3D Estimator concerns the use of volume estimation, we hypothesizedthat students might be able to use the answer from previous problems as reference points. Asdescribed below, Learning Factor Analysis 4 was used to investigate this hypothesis.Floundering One of Anderson, et al.'s 14 definitions of floundering with interactive learning software isrepeating the same kind of mistake three times (p. 174). This definition proved useful foranalyzing the student results with the 3D
, while consulting a third expert in survey development helpspreserve face validity. Further validity was gained through factor analysis. We conclude that our Table 2: Pattern Matrix, Five Factors Table 3: S tructure Matrix, Five Factors Factor FactorItem 1 2 3 4 5 Construct Item 1 2 3 4 5 Construct1 .722 Interest 1
researchfindings. This may be alleviated in the future as the technology improves. The majority of theeffectiveness of online programs is still dependent on the instructor and the design of the coursecontent.Bibliography 1. Dunn, L.S., Poirot, J. L., & Rice, J.W. (2005). Instituting a distance-delivered doctorate in educational computing: PHDifferences, not just a higher-lever masters degree. Proceedings of Society for Information Technology and Teacher Education International Conference. pp. 385-390. 2. Kongrith, K., Aberasturi, S., & Maddux, C. (2004). Are online master’s degree programs replacing the traditional master’s degree programs? Proceedings of Society for Information Technology and Teacher Education
Formal to Collaborative to Informal Learning. Each of theseresources is appropriate at a certain point in time; for example wikis are a useful toolespecially in the first half of the semester, while mobile learning is utilized in the middle.User-generated content and individual blogs should feature prominently in a student-centered learning environment. Figure 2: Instructor-led program to a modern blended classroom2Driscoll4, a consultant to IBM Global Services, trains IBM‟s mid-span customers usingone of several blending learning styles that she identified. These include assessmentonline, pre-work by the IBM employees before they undertake travels for face-to-facemeetings, providing online office hours, etc. Again, factors such as
Page 23.657.71. Ohland, M. W., Orr, M. K., Lundy-Wagner, V., Veenstra, C. P., & Long, R. A. (2011). Viewing access and persistence in engineering through a socioeconomic lens. Engineering and Social Justice: In the University and Beyond, 157.2. National Science Foundation, Division of Science Resources Statistics. (2011). Women, Minorities, and Persons with Disabilities in Science and Engineering: 2011 ( No. NSF 11-309). Arlington, VA.3. Donaldson, K., Lichtenstein, G., & Sheppard, S. (2008). Socioeconomic status and the undergraduate engineering experience: Preliminary findings from four American universities. Proceedings of the American Society for Engineering Education Annual Conference
students who had participated in undergraduate research and found that 83%intended to continue in science-related graduate education, and that the percentage was the samefor underrepresented groups in STEM fields. In another study of 36 undergraduate minoritieswho had participated in a summer research program, Morley et al.8 found 92% of the studentseither were enrolled in a graduate program or had plans to enroll within two years. Zydney et al.9 studied a group of their university‟s alumni, matching a set of undergraduate research program Page 23.711.2participants to a set of individuals who resembled the participants except for the fact that
Engineering, as well as STEM. The collaboration Page 23.811.9platform provides the opportunity for the program to advertise to the community, as well as helpsthe middle school teachers and students understand the nature of CPEG program, which furtherwill benefit the program’s recruitment in the future.References[1] W. Dann, S. Cooper, and B. Ericson, “Exploring Wonderland: Java Programming Using Alice and Media Computation,” Prentice Hall, 1st edition, ISBN: 0136001599. [2] S. Cui, Y. Wang, F. M. Nave, and K. T. Harris, “Teach Computer Techniques through Multimedia,” Proceedings of the
/courses/economics/14-384-time-series-analysis-fall-2008/index.htm2 Michigan Engineering. 2013. Industrial and Operations Engineering Courses. Retrieved February 1, 2013, from http://www.engin.umich.edu/bulletin/ioe/courses.html3 Pennsylvania State University. 2012. Applied Time Series Analysis. Retrieved February 1, 2013, from https://onlinecourses.science.psu.edu/stat510/4 The University of Arizona. 2013. Applied Time Series Analysis. Retrieved February 1, 2013, from http://www.ltrr.arizona.edu/~dmeko/geos585a.html5 S. S. Rao. 2008. A Course in Time Series Analysis. Retrieved February 1, 2013, from http://www.stat.tamu.edu/~suhasini/teaching673/time_series.pdf6 P. Bartlett. 2010. Introduction to Time Series
/market relatedquestions. Page 23.857.6Principles Course Content The 'enduring understandings' that a student should take away from Principles areestablished based upon prior entrepreneurship research that identified critical entrepreneurialskills and are assumed to be the following: 15 • Opportunity Recognition18 ( Mitchelmore, S. & Rowley) • Presentation Skills 9 (Hood and Young) • Entrepreneurial Competencies 18 (Mitchelmore, S. & Rowley) Mitchelmore, S. & Rowley cite the ability to recognize and evaluate a new ventureopportunity as a dominant entrepreneurial thinking skill as do many other researchers 18-20
the (b)curve. Figure 1: Unmanned Aerial Vehicles, such asThe plane can fly 15 miles of the spiral before it must return the one shown in (a), are playing anto refuel. increasing role in search and rescue. The desired search path is shown in (b).The distance travelled by the UAV for any given value ofis given as 1) Find the equation of the distance travelled by the UAV at any point . 2) What is the value of s when the plane has gone 15 miles? 3) Assuming the total range of the plane is 17.5 miles. Can the plane make it
Principles areestablished based upon prior entrepreneurship research that identified critical entrepreneurialskills and are the following: 15 • Opportunity Recognition18 ( Mitchelmore, S. & Rowley) • Presentation Skills 9 (Hood and Young) • Entrepreneurial Competencies 18 (Mitchelmore, S. & Rowley) Mitchelmore, S. & Rowley cite the ability to recognize and evaluate a new ventureopportunity as a dominant entrepreneurial thinking skill 18-20. Acquiring the resources to takeadvantage of the recognized opportunity is equally important to entrepreneurial successes 1,18 andthis skill rests fundamentally on your persuasive presentation skills, both oral and written, and isconfirmed again by Mitchelmore, S. & Rowley’s
de Tlaxcala. Weappreciate Puebla and Tlaxcala students’ work and thoughtful critiques.Bibliography1. Carreño, S., Palou, E. and López-Malo, A. Eliciting P-12 Mexican teachers’ images of engineering: What do engineers do? Proceedings of the ASEE Annual Conference and Exposition, Louisville, Kentucky, June 20-23, 2010.2. Cruz López, C.C., Chavela Guerra, R.C., López-Malo, A. and Palou, E. Eliciting Mexican High School Students’ Images of Engineering: What Do Engineers Do? Proceedings of the ASEE Annual Conference and Exposition, Vancouver, BC, Canada, June 26-29, 2011.3. Knight, M. and Cunningham, C.M. Draw an engineer test (DAET): Development of a tool to investigate students’ ideas about engineers and engineering
assumed that each pedestrian is moving with an average speed of commonman in that area. Based on the findings, it is recommended that Draft Accessible Guidelinesand the MUTCD use a 3.5 fps (1.1 m/s) minimum walking speed across the street itself (curb-to-curb) for determining the Pedestrian Clearance interval, and a 3.0 fps (0.9 m/s) walkingspeed across the total crossing distance (top of ramp to far curb) for the entire WALK plusPedestrian Clearance signal phasing. In any case, the minimum WALK signal indicationshould still be 4 seconds for single lane one direction road. [5]The collected field data of pedestrian arrival were then classified into different groups basedon the arrival volume in 5 second intervals to analyze the effect of different
Engineering majors, and followed by the organic chemistry/biochemistrycourse(s), and by the fact that no modern (20th century-themed) science class existed inKUSTAR’s College of Engineering curriculum at the time of building up this lab and the course. Further, this lab program has been motivated by the need to increase the focus ondeveloping students’ competencies and professional skills/soft skills. In recent years, globalcompetency has been introduced as an important “soft” skill2,3 that engineering graduates shouldacquire along the training through a standard engineering curriculum. This trend and suggestionsfor attempting to standardize the “criteria for global competence” of engineering graduates are
, pinpointing underutilization of key tasks that have been linked tosuccessful problem solutions as well as identifying errors committed in each segment of theprocess. The complete assessment consisted of eight stages and a measure of solution accuracy.Next, the assessment tool was modified into a form that could be used to assess problemsolutions in the absence of a complete recording of the problem solving process. This ensures atool that is more generalizable to the target user group of instructors and education researcherswho would not necessarily have access to a complete digital recording of student problemsolving attempts. To accomplish this, the first two of Pretz et al.’s stages were combined forsimplicity, and two stages were eliminated due
in Odense, Demark in the mid-1970’s, and it is now a program of the U.S.Department of Transportation’s Federal Highway Administration (FHWA) through the currentfederal transportation law, Moving Ahead for Progress in the 21st Century (MAP-21). Thedesignated funding available to SRTS projects was eliminated in MAP-21, but those activitiesremain eligible for funding through the Transportation Alternatives program.SRTS accomplishes its goal by improving safety and physical infrastructure and by removingbarriers that currently prevent students from walking or biking to school. Schools form an SRTSaction team consisting of members with expertise in transportation, engineering, education,public health, and public safety. The SRTS planning process
Engineering Education 93, 223-231 (2004).2. King, D. B. & Joshi, S. Gender differences in the use and effectiveness of personal response devices. Journal of Science Education and Technology 17, 544-552 (2008).3. FitzPatrick, K. A., Finn, K. E. & Campisi, J. Effect of personal response systems on student perception and academic performance in courses in a health sciences curriculum. Advances in Physiology Education 35, 280-289 (2011).4. Karaman, S. Efffects of audience response systems on student achievement and long-term retention. Social Behavior and Personality 39, 1431-1440 (2011).5. Draper, S. W. & Brown, M. I. Increasing interactivity in lectures using an electronic voting system. Journal of
University of Hertfordshire, (b) LEED Building site with sample features, (c) PFNC Design for an $8,000 home using shipping containers for low income families in Mexico, and (d) Thinnest house in the world designed by Polish architect J. SzczensyStudents are then asked to consider the typical home designed in the 1950’s, such as the one inFigure 4. During this time, home designs have one bathroom for the use of the entire family.When this is placed in contrast to the number of bedrooms and baths in their Dream Home,students are asked, “Why do they need so many bathrooms?” given that people today are notdifferent physically from those in the 1950’s. Students quickly realize that the needs of theindividual have not
] Hunley, S., Whitman, J., Baek, S., Tan, X., and Kim, D., 2010, “Incorporating the Importance of Interdisciplinary Understanding in K-12 Engineering Outreach Programs using a Biomimetic Device,” Proceedings of the 2010 ASEE Annual Conference & Exposition, Louisville, KY.[7] Porche, M., Mckamey, C., and Wong, P., 2009, “Positive Influences of Education and Recruitment on Aspirations of High School Girls to Study Engineering in College,” Proceedings of the 2009 ASEE Annual Conference & Exposition, Austin, TX.[8] Taylor, B. A. P., Williams, J. P., Sarquis, J. L., and Poth, J., 1990, “Teaching Science with Toys: A Model Program for Inservice Teacher Enhancement,” Journal of Science Teacher Education 1(4
discrete plurality of cycles within a given greater cyclic increment. Angle means a fraction of once cycle. Angle is therefore sub-cyclic- unity, while frequency plural unity. Angle is less than finite cyclic unity. Frequency is greater than finite cyclic unity.” 2Webster’s Greek term monad, stems Greek Ionian System: Alphabetical Enumerationfrom roots μένειν (menein), “to be μ ο ν ά ςstable”, from μονάς (monas), "unit" [m] [o] [n] [a] [s]from μόνος (monos), "alone".6 Mu Omicron Nu Alpha Sigma 40 70 50 1 200 ∑361Schneider (1994) writes: “In the
courses andquality of courses, have slightly less persistence as measured by a grit test, and are notparticipating as much in class. The goal of identifying the characteristics of students who do notdo homework is to enable appropriate intervention techniques to be developed. AcknowledgementThis material is based upon work supported by the National Science Foundation underEngineering Education Research Initiation Grant No. 1137013.References1. Bennett, R.M., Schleter, W.R., Olsen, T., and Guffey, S. (2011). “Effects of an early homework completion bonus.” Proceedings, ASEE Annual Convention, Paper AC 2012- 3724.2. Duckworth, A.L. and Quinn, P.D. (2009). “Development and validation of the Short Grit Scale (Grit-S),” Journal of