engineering education. The study will continue to assess the use of text,discussion, and class activities that occur concurrently while the GTAs are being observed inteaching. The instructor will continue to collect data on The Graduate Teaching AssistantSeminar in future semesters to make comparisons; and provide well-grounded understandingof the experience and perspective of the GTA participants22.Bibliography 1. Bandura, A., (1977) Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84, pp. 191-215. 2. Prentice-Dunn, S., Pitts, G.S. (2001) “The Use of Videotape Feedback in the Training of Instructors”, in Prieto, L.R., Meyers, S.A. (Eds.) The Teaching Assistant Handbook: How to prepare TAs for
(hoped) improvements, to a revised set of SOs. To that end, some desired attributes of the SeniorProject Rubric are evaluated:RQ1 (Applicability): Does the rubric’s methodology measure attainment of all of the SOs in ameaningful way? If not all, to which SOs is it not applicable?RQ2 (Extendibility): Is the rubric methodology(s) applicable to varied SO categories, and does itlend itself to fine tuning?RQ3 (Consistency): Is there reasonable expectation that repeated application of the rubric toidentical data should yield identical metrics? When there is not, can this shortcoming beameliorated?5.2 MethodThe sources of the data for this study are 22 capstone projects completed between Fall 2010 andSpring 2012, encompassing the efforts of about 82
) related toknowledge of cognition, several of them particularly associated with procedural and conditionalknowledge, were used as a form of coaching 5, 8. PROBLEM 2Kinetics and Homogeneous Reactor Design (IQ407) Mass Transfer Unit Operations I (IQ412)Mixed flow reactor (CSTR) is used for carrying out the A binary mixture of methanol and water is to benext first order reversible reaction: separated using a conventional distillation column. The feed stream contains 40 mol/s of methanol and 60 mol/s 𝐴 𝐵 of water, introduced as a saturated liquid
engineering education.A framework for thinking about elements of reflectionReflection on experience can be framed as an intentional and dialectical thinking process wherean individual revisits features of an experience with which he/she is aware and uses one or morelenses in order to assign meaning(s) to the experience that can guide future action (and thusfuture experience). We can use pathways of reflection to delineate combinations of theseelements. In this section, we unpack the elements of this framing (i.e., experience, lens, meaning, Page 24.776.2action, intentional, and dialectical) of reflection and then illustrate the ideas through a
andUP Plus 3D Printers cost $1,599, MakerBot Replicator 2’s cost $2,199 while Replicator 2X’scost $2,799. Also, the plastic filament, acrylonitrile butadiene styrene (ABS) or polylactic acid(PLA), costs between $23/kg and $48/kg, dissolvable filament costs $65/kg, while translucentplastic and flexible filament cost $130/kg. This affordability creates a number of newpossibilities for 3D printers’ use in engineering education.Benefits of using 3D Printers in Engineering Education The benefits of using 3D printers in engineering education are many. Now, students cancreate inexpensive functional plastic parts early in their studies. Even before learning how tocreate 3D solid models in any of the computer-aided design (CAD) programs (usually
. Bromme, R. (2000). Beyond one's own perspective: The psychology of cognitive interdisciplinarity. In P. Weingart & N. Stehr (Eds.), Practising Interdisciplinarity (pp. 115-133). Toronto: University of Toronto Press.17. Brown, J. (1992). The Definition of a Profession: The Authority of Metaphor in the History of Intelligence Testing, 1890-1930. Princeton: Princeton University Press.18. Brown, T. L. (2008). Making Truth: Metaphor in Science. Urbana-Champaign: University of Illinois Press.19. Lawson, S. (2011). Surfing on the Edge of Chaos: Nonlinear Science and the Emergence of a Doctrine of Preventive War in the US. Social Studies of Science, 41(4), 563-584.20. Schön, D. A. (1983). The Reflective Practitioner. New York: Basic Books
. Therefore, there is no one –size-fits-all approach to PBL that can simply beimplemented from one institution to another. (20) There are essential and required steps that haveto be mobilized at the start of PBL. At the start of learning in PBL is the selection of realproblem(s). This is, in fact, the major driving force for learning. Effort and time dedicated to theselection of problem(s), is time well-spent and will eventually pay off. The problem(s) should bewell crafted to engage and immerse students in learning new materials, new issues, as well aschallenging existing knowledge, skills, and attitudes. It is important to note that PBL is not onlyabout giving problems and solving them in classroom, but it is also about creating opportunitiesfor
shortcomings, the Effective Army Writing program (hereafter, EffectiveWriting Program or EWP) instruction was distilled from much experience to improve the qualityof written communication. The program has guided tens of thousands of practitioners to improvetheir writing effectiveness. Previous experience with the program lends confidence that, exceptfor correspondence formats, much of the program content can satisfy needs for the distance MSdegree program. The framework and substantial parts of the instruction in the distance MSprogram is drawn from relevant parts of the EWP as could be publicly accessed in the publicdomain from the U. S. Army Command and General Staff College (CGSC) website in June2011. These topics are delivered during the brief
). The political career of a prototype: Visual representation in design engineering. Social Problems, 42(2), 274–299.5. Henderson, K. (1999). On line and on paper: Visual representations, visual culture, and computer graphics in design engineering. The MIT Press.6. Juhl, J., & Lindegaard, H. (2013). Representations and visual synthesis in engineering design. Journal of Engineering Education, 102(1), 20–50.7. Jonassen, D., Strobel, J., & Lee, C. (2006). Everyday problem solving in engineering: Lessons for engineering educators. Journal of Engineering Education, 95(2), 139–151.8. Litzinger, T.A., Meter, P.V., Firetto, C. M., Passmore, L. J., Masters, C. B., Turns, S. R., Gray, G.L., Constanzo, F., & Zappe, S. E. (2010
. Page 24.1053.9 Figure 5. Impact vs. Time of Breakthrough, Enabling, and Progressive Innovations Table 2. Historical Cases on Innovation ImpactBreakthrough(s) Enabling Innovation Progressive Innovations1 Cumulative Impact1Discovery of an ether- Use of first gas-based • Airway anesthesia • Reduction in surgicalbased gas that forms of anesthesia • Local anesthetics death ratesproduces insensibility based on nitrous oxide, • Intravenous • Creation of a new professionby inhalation ether, and chloroform anesthetics • Creation of new
image-processing pipeline to provide a user-friendlyinterface for studying lunar imagery. The Geospatial Data Abstraction Library (GDAL) [14] isused to efficiently access LRO imagery stored in the PDS image file format. We use the LuceneImage Retrival (LIRE) library [15], [16] with the search engine to store and index landformfeature vectors for use during similarity search. NASA‟s World Wind library [17] is used toimplement a 3D interface (Figure 7) for viewing and interacting with GIS (GeographicInformation System) data sets. This approach is motivated by the fact that NASA scientists arealready familiar with the World Wind operating environment. The current prototype allows theuser to browse and search imagery to identify interesting
immigrants. On The Horizon, 9(5). Retrieved from http://www.marcprensky.com/writing/Prensky - Digital Natives, Digital Immigrants - Part1.pdf2. Wesch, M. (2009). Participatory media literacy : Why it matters. Mediated Cultures. Retrieved from http://mediatedcultures.net/smatterings/192/3. Craig, D. V. (2009). Action research essentials. San Francisco, CA: Jossey-Bass.4. McIntyre, D. (2005). Bridging the gap between research and practice. Cambridge Journal of Education, 35(3), 357–382. Retrieved from http://www.tandfonline.com/doi/abs/10.1080/030576405003190655 Anderson, G. L., Herr, K., & Nihlen, A. S. (2007). Studying your own school. Thousand Oaks, CA: Corwin Press.6. Hobbs, R. (2011). Digital and media
scienceeducation. Using the search terms “active learning,” “teaching, ” “learning,” and “team-based learning” in any field, the searched was focused on articles published in peer-reviewed journals between January 1993 and December 2013. A 20-year period wasselected intentionally in order to include relevant work related to cooperative learning donein the late 90´s, and to achieve saturation. In the initial search 49 articles were found.Analyzing the full text of every article refined the search. The final articles were chosen fordemonstrating all the following selection criteria: 1. The research must have used a type of active learning in the theoretical framework. 2. The research was focused on improving student learning in the engineering
, S. D., Fischer, F., Weinberger, A., Stegmann, K., Dillenbourg, P., Kapur, M., & Chi, M. (2008).Cognitive convergence in collaborative learning. In Proceedings of the 8th international conference on Internationalconference for the learning sciences-Volume 3 (pp. 360-367). International Society of the Learning Sciences.8. Thompson, L. & Fine, G.A. (1999). Socially shared cognition, affect, and behavior: A review and integration.Personality & Social Psychology Review 3(4): 278-302.9. Weinberger, A., Stegmann, K., & Fischer, F. (2007). Knowledge convergence in collaborative learning: Conceptsand assessment. Learning and Instruction, 17(4), 416-426.10. Cannon-‐Bowers, J. A., & Salas, E. (2001). Reflections on shared
collegemajor, including engineering. However, research has also shown that interest is not necessarilythe primary reason for career choice within underrepresented groups. The purpose of this paperis to present how interest relates to engineering as a career choice for a group historicallyunderrepresented in engineering. Using the Social Cognitive Career Theory as a frame work,high school and college engineering students from Appalachia were interviewed concerningcareer choices to answer the research questions: What role(s) does interest play in engineeringcareer choices of Appalachian students? How do such roles differ for high school and collegestudents? To answer the research questions, qualitative data from a total of 36 junior and seniorhigh
the IEEE Std 830-1998 Recommended Practice for SoftwareRequirements Specifications.” In addition, the students’ submissions should also address thefollowing tasks: • Identify the section(s) of your Requirements Document where the information related to the requirements’ customers and stakeholders is to be presented. Provide the customers and stakeholders information as part of the document or as an Appendix. • Identify the section(s) of your Requirements Document where, besides the natural language requirements, the requirements analysis and specification process would benefit from the use of diagrams (use cases, data flow diagrams, state-machine-diagrams, etc.) to better understand the needed
y Q = source emission rate [g/s] u= wind speed [m/s] y = crosswind distance from stack of point of interest [m] z = vertical height of point of interest (0 for ground-level concentration)[m] H =effective stack height [m] (includes plume rise) σy =horizontal stability parameter [m] σz =vertical stability parameter [m] Page 24.52.4 The horizontal and vertical stability parameters can be estimated using Pasquill-Giffordcurve fits from Turner (1969
ASE degreeprovided similar expertise, however, the salary profile for individuals with the accredited andunaccredited degrees should converge in a meritocracy.Kazmer and Badaro1 found that engineering salary data, s, followed a Gompertz type sigmoidalbehavior as a function of time: (3)where sb is the base salary at the onset of engineering work, rs is the annual rate of salaryincrease, t is the number of years of work experience, and is the half-life of the engineeringsalary function. This model suggests that all salaries will tend to decay unless rate of salarygrowth is high and the half-life of the career is long; only graduates from a few
. Vasquez, S. Crown, C. Villalobos, R. Wrinkle, O. Ramirez, M. Gonzalez, “Increasing Student Access, Retention, and Graduation Through an Integrated STEM Pathways Support Initiative for the Rio South Texas Region – Year One Activities and Results,” ASEE Annual Conference and Exposition, 2010. 2. D.S. Cordray, T. Harris, S. Klein, “A Research Synthesis of the Effectiveness, Replicability, and Generality of the VaNTH Challenge-based Instructional Modules in Bioengineering”, Journal of Engineering Education, 98 (4), pp.335-348 (2009). 3. M. J. Prince, and R. M. Felder, “Inductive Teaching and Learning Methods: Definitions, Comparisons, and Research Bases”, Journal of Engineering Education, 95(2), 123
students. Verbal surveys could be expanded to written pre and post-surveys with ranking values to better obtain data. Feedback would allow the instructor to re-evaluate the emphasis of each course topic to ensure ample time is provided to the students forbetter comprehension of the material. Page 24.438.11References 1. Yilmaz, M., Ren, J., Custer, S., & Coleman, J. (2010). Hands-On Summer Camp to Attract K-12 Students to Engineering Fields. IEEE Transactions On Education, 53(1), 144-151. 2. Davis, C. E., Yeary, M. B., & Sluss, J. r. (2012). Reversing the Trend of Engineering Enrollment Declines with Innovative
Paper ID #10018Educational Approach to the Methodology of Implementing Wireless Controlof Power Flow in Hybrid Power SystemsMr. Tan Ma, Florida International University Tan Ma (S’09) received the M. Eng. degree in control theory and control Engineering from Huazhong University of Science and Technology (HUST) in China in 2009 and the Bachelor of Eng. degree in automation from HUST in China in 2007. He is currently pursuing his doctoral degree in electrical engineering at Florida International University. His research interests include Power System Operations and Control, Artificial Intelligence Applications to Power
material are thoseof the authors and do not necessarily reflect the views of the National Science Foundation.Bibliography1. NGSS Lead States (2013). Next Generation Science Standards: For States, by States. Washington, DC: The National Academies Press.2. Katehi, L., Pearson, G., & Feder, M. A. (2009). Engineering in K-12 education: Understanding the status and improving the prospects. Washington, DC: National Academies Press.3. Guskey, T. R. (1986). Staff development and the process of teacher change. Educational Researcher, 15, 5-12.4. Guskey, T. R. (2002). Professional development and teacher change. Teachers and Teaching: theory and practice, 8, 381-391.5. Loucks-Horsley, S., Harding, C. K., Arbuckle, M. A
/ christiansandengineering/christian-engineering-conferences-ceec7 Adams, R. et al. Storytelling in engineering education. in ASEE Annu. Conf. Expo. Conf. Proc. (2007)8 For other examples of this format, see Adams, R. S. et al. Multiple perspectives on engaging future engineers. J. Eng. Educ. 100, 48–88 (2011).9 Chang, H., Ngunjiri, F. W. & Hernandez, K. A. C. Collaborative autoethnography. (Left Coast Press, 2013).10 Vatican Council II. Lumen gentium: Dogmatic constitution of the church. Conciliar Post Conciliar Doc. Austin Flannery, OP, ed., rev. Ed.(bost. St. Paul Ed. 1988), Par 32, (1964).11 Horkheimer, Max. Traditional and critical theory. Critical theory: Selected essays 188-243 (1972)12 Csikszentmihalyi, M. Flow : The Psychology of
given over 70 invited presentations - 13 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
protocols.AcknowledgementsThis research was supported in part by the U.S. National Science Foundation under the award#DMR 1305694. REG thanks the financial support from National Science Foundation CMMI0856491. Page 24.582.12References1 Lee, C. B., Jonassen, D. & Teo, T. The role of model building in problem solving and conceptual change. Interactive Learning Environments 19, 247-265 (2011).2 Stratford, S. J., Krajcik, J. & Soloway, E. Secondary students' dynamic modeling processes: Analyzing, reasoning about, synthesizing, and testing models of stream ecosystems. Journal of Science Education and Technology 7, 215-234 (1998).3 Smith, C
Baxter Magolda’s prior interview protocol11. Interviewquestions were asked to introduce different topics, such as role of learners, role ofadvisors/professors, etc. The advantage of this protocol was that it provided a scope of topicwithout framing the response. Sample questions are shown as follows: -Now, think about yourself as a learner in the classroom, in a research group, or in a project team. What role do you play, what method do you use, to make learning more effective for you? -As you think about your instructors, professors, advisor(s), what role do you think they have played that made you learn effectively?Data AnalysisAll sixteen interviews were transcribed. After the transcription, transcripts were revised where
). Quality assurance in training and education. (p. 176). London: Koogan Page.[4] Hallencreutz, J., & Turner, D. (2011). Exploring organizational change best practice: are there any clear-cutmodels and definitions. International Journal of Quality and Service Sciences, 3(1), 60-68.[5] Knight, J. E., Allen, S., & Tracy, D. L. (2010). Using six sigma methods to evaluate the reliability of a teachingassessment rubric. The Journal for American Academy of Research Cambridge, 15(1), 1-6.[6] Kukreja, A., Ricks, J. M., & Meyer, J. A. (2009). Using Six Sigma for performance improvement in businesscurriculum: A case study. Performance Improvement, 48(2), 9-25.[7] Madu, C. N., & Kuei, C. H. (1993). Dimensions of quality teaching in higher
. Performs field Constructed with more soluctions in design and field phases schedule and reduces More accurate and engineering tasks in accuracy and knowledge. for increased feasibility. Accelerates the number of C.O.'s