knowledge (knowledge about when and why to usestrategies).32 Knowledge of cognition has been shown to play a key role in decision making andperformance.33–35 Regulation of cognition refers to an individual’s ongoing cognitive processesand includes five skills: planning, information management strategies, comprehensionmonitoring, debugging strategies, and evaluation. These skills have been suggested to play acritical role in problem solving as they allow learners to organize and monitor their thinking.35Metacognition was operationalized in this work to assess students’ perceptions of their ability touse metacognitive strategies when solving an engineering problem. Items were adapted from Leeet al.’s (2009) work originally used to assess elementary
numerical or graphical representations.Practice 6: Constructing Explanations (science) and Designing Solutions (engineering)6.1 Explanation/Evidence: the teacher questions and discourse guides students to generate their own explanations for observed or hypothetical phenomena; or teacher asks student to support statement with empirical evidence, prior knowledge, or logical reasoning.6.2 New Situation: the teacher helps students relate previously-learned concepts to new content/situation.6.3 Evaluate Understanding: the teacher initiates a discussion in which student/s may judge or articulate their success or failure with the science activity; or teacher gets students to assess their own level of understanding of a concept or to
retention, and how to best teach work skills throughout the engineering curriculum.Dr. Patricia A Ralston, University of Louisville Dr. Patricia A. S. Ralston is Chair of the Department of Engineering Fundamentals at the University of Louisville and also has an associate appointment in Chemical Engineering. Dr. Ralston teaches under- graduate engineering mathematics and is currently involved in educational research on the effective use of Tablet PCs in engineering education, the incorporation of critical thinking in undergraduate engineer- ing education, and retention of engineering students. Her fields of technical expertise include process modeling, simulation, and process control.Dr. Kate E. Snyder, University of
whichresources students used to improve their writing, according to the post-course survey. Studentswere allowed to select all the help method(s) they used. Of the 101 students answering thissurvey question, 13 indicated they used multiple resources. Perhaps even more notably, 81indicated that they did not seek writing help from any source, despite the majority of studentsexpressing frustration about not knowing how to improve their writing scores. Table 2. Types of help sought by students for paragraph writing exercise Type of Help No. of Students* No Help 81 Professor 7 Teaching
. Miller, Inquiry-based activities to address criticalconcepts in chemical engineering, in 118th Annual Conference & Exposition. 2011: Vancouver, BC.4. M. J. Prince, M. A. Vigeant and K. E. K. Nottis, Assessment and repair of critical misconceptions inengineering heat transfer and thermodynamics, in 120th ASEE Annual Conference & Exposition. 2013: Atlanta,Georgia.5. K. C. Midkiff, T. A. Litzinger and D. L. Evans. Development of engineering thermodynamic conceptinventory instruments. in 31st ASEE/IEEE Frontiers in Education Conference. 2001. Reno, NV.6. S. Yeo and M. Zadnik, Introductory thermal concept evaluation: assessing students' understanding. ThePhysics Teacher, 2001. 39(November): p. 496 - 504.7. D. L
,Gregerman S.R., Jonides,J., von Hippel,W., Lerner,J.S., “Undergraduate Student-Faculty ResearchPartnerships Affect Student Retention”, The Review of Higher Education 22.1 (1998) 55-72 4. Dahlberg,.T, Barnes, T., Rorrer, A., Powell, E., Cairco, L., “ Improving retention and graduate recruitment throughimmersive research experiences for undergraduates. SIGCSE Bulletin,” 2008 Mar;40(1):466–70. 5. Board of Engineering Education-National Research Council, "Improving Retention in Undergraduate EngineeringEducation," Issues in Engineering Education: A Bulletin Addressing Culture Change in Engineering Education, vol.1, no. 1, 1992. 6. Short, S. R., “Investigation of Shear as aFailure Mode in Anisotropic Materials
(6), 12-21.3. National Association of Colleges and Employers (NACE), Job Outlook: The Candidate Skills/QualitiesEmployers Want, 2011, Retrieved on July 2013 fromhttp://www.naceweb.org/s10262011/candidate_skills_employer_qualities4. Cleary, M.; Flynn, R.; Thomasson, S.; Alexander, R.; McDonald, B, Precision Consultancy, Graduateemployability skills, 2007. Retrieved on July 2013 fromhttp://aces.shu.ac.uk/employability/resources/GraduateEmployabilitySkillsFINALREPORT1.pdf5. Sugars, J.; Pearce, E., DOCNET: Doctors in Enterprise, Transferable skills and employability fordoctoral graduates: survey of the current landscape (Final report), 2010. Retrieved from (July 2013):http://www.docentproject.eu/doc/Report_DEF_EN.pdf6. Vitae, Researcher
documented in the two biographies of Skinner cited above. See especially Bjork(1993), chs. 4 & 6; and Wiener (1995), pp. 32-37.13 E Bradford Burns, A History of Brazil, 2nd edition. (New York: Columbia University Press, 1980). The periodfrom Vargas, through Kubitschek, Quadros, and Goulart, is described in chapters 6-7.14 Fred. S. Keller, “An International Venture in Behavior Modification,” in Fred S. Keller and Emilio Ribes-Inesta,Behavior Modification: Applications to Education (New York: Academic Press, 1974), 143-155, 143-145; SérgioDias Cirino, Rodrigo Lopes Miranda, and Robson Nascimento de Cruz, “The beginnings of behavior analysislaboratories in Brazil: A pedagogical view,” History of Psychology 15/3(2012): 263-272. Available online
out supplemental instruction in a required generalchemistry course and what factors affected whether a student used a form of supplementalinstruction.1 However, data were unavailable to correlate with grades.In order to understand a student’s pre-disposition and ultimate choice to participate insupplemental instruction as well as to determine correlations with grade distribution, honors andnon-honors students in a required general chemistry course were given pre-surveys at thebeginning and post-surveys at the end of the semester. Analysis of pre-surveys allowedidentification of a student’s predisposed “trigger point” at which s/he decides to seek extra helpupon entering college. The availability of data for different types of course
”, ASEE Annual Conference and Exposition, Conference Proceedings, 2011 ASEE Session AC 2011-522 7. Kuyath, S., Owen, T., Sharer, D., Murphy, D., Kimble, J., and Englebert, M., “Development of an Electrical Engineering Technology Education”, ”, ASEE Annual Conference and Exposition, Conference Proceedings, 2003 ASEE 8. Crossman, G., “A CD-ROM Based Laboratory in Fluid Mechanics”, ”, ASEE Annual Conference and Exposition, Conference Proceedings, 2001 ASEE Session 2247 9. Connor, K., Berry, F., Chouikha, M., Newman, D., Deyoe, M., and Brubaker, W., “Using the Mobile Studio to Facilitate Nontraditional Approaches to Education and Outreach”, ASEE Annual Conference and Exposition, Conference Proceedings, 2011
. Project-based learning (PBL) is an instructionalapproach that engages students’ interest and motivation, relates the theoretical concepts studentsstudied inside the classroom and their applications explored during the activities outside of theclassroom and provides more opportunities for direct interactions among students. This paperpresents the implementations of PBL in Physics I and Statics courses at WKCTC. Sample teamprojects are described in details and the assessment on learning outcomes are discussed.IntroductionStudents at West Kentucky Community and Technical College (WKCTC) can pursue Universityof Kentucky (UK)’s Bachelor of Science degrees in either chemical or mechanical engineeringwithout leaving home. All four years of classes can
Paper ID #10955Improving the Affective Element in Introductory Programming Courseworkfor the ”Non Programmer” StudentDr. David M Whittinghill, Purdue University, West Lafayette Dr. David Whittinghill is an Assistant Professor of Computer Graphics Technology and Computer and Information Technology. Dr. Whittinghill’ s research focuses on simulation, gaming and computer pro- gramming and how these technologies can more effectively address outstanding issues in health, educa- tion, and society in general. Dr. Whittinghill leads projects in pediatric physical therapy, sustainable energy simulation, phobia treat- ment
electricalpower. Horsethief Reservoir is a local artificial lake that abuts the camp. The reservoir has boththe water volume flow (0.07m3/s) and elevation drop (20 meters) sufficient for continuous Page 24.766.3microhydroelectric power generation. Penstocks are already in place as part of overflowmanagement. Placing generators in tandem where maximum energy transfer occurs alsominimizes ecological impact in this case. A manifold design provides scalability and flexibility.Figure 2 shows the total present value costs, including manufacturer-recommended maintenance,and paybacks associated with different scalability. As shown in Figure 3, a positive payback
, J.R., Crittenden, J.C., Small, D.R., Hokanson, D.R., Zhang, Q., Chen, H., Sortby, S.A., James, V.U., Sutherland, J.W., and Schnoor, J.L. 2003. Sustainability Science and Engineering: The Emergence of a New Metadiscipline, Environmental Science and Technology, 37, 5314-5324.4. Young, T., Powers, S., Collins, A., and Ackerman, N. 1996. A Unified Elective Concentration in Environmental Engineering. Proceedings of the 1996 American Society for Engineering Education Annual Conference & Exhibition, Washington, D.C, June 23-26.5. Newberry, B. and Farison, J. 2003. A Look at the Past and Present of General Engineering and Engineering Science Programs. Journal of Engineering Education, 92(3), 217-224.6. Woolschlager, J
Integrated STEM Education. Currently, Prof. Nathan is co-PI for the National Center for Cognition and Math- ematics Instruction, co-PI of the grant Connecting Mathematical Ideas through Animated Multimodal Instruction, and Director of the Postdoctoral Training Program in Mathematical Thinking, Learning, and Instruction, funded by the U. S. Dept. of Education-Institute of Educational Sciences (IES). Links to current and past research can be found at http://website.education.wisc.edu/˜mnathan/Mr. Greg Pearson, National Academy of Engineering Greg Pearson is a Senior Program Officer with the National Academy of Engineering (NAE) in Washing- ton, D.C. Greg currently serves as the responsible staff officer for the NSF-funded
lightweight, easily formableand inexpensive. Table 1 presents the targeted physical properties for bipolar plates as specifiedby U.S. Department of Energy [2]: Table 1 Targeted property values for bipolar plates per U.S. Department of Energy [2] Property Requirement Bulk electrical resistivity < 0.1 mW m Corrosion rate < 16 mA /cm2 Hydrogen permeability < 2x106 cm3/cm2 s Compressive strength > 2 MPa Thermal conductivity > 20 W/mK Fabrication
thefunction call stack by a stack of parameters. CFL is tightly integrated into a web-basedinstruction system for efficient assigning of exercises, submitting, and grading6. Table 1. CFL node types processing type I/O node Decision Function node typical example(s) +, -, *, /, % putchar, scanf !=, ==, > ,=, <= return All operations are intentionally aligned with C language statements for easier transitionfrom CFL to C language. For instance, input statements “scanf” has not only the same name asin C language, but also has the
education in Russia in numbers. / A.L.Arefiev, M.A. Arefiev / / HigherEducation in Russia. - 2012 . - № 3 - p.122 -131 . S. 125.2 . Presidential Decree of 7 May 2012 № 594.+ Page 20.35.6
Appropriate Technology, 2013 Masters Thesis.Mortenson Center for Engineering in Developing Communities, CU Boulder(8) Bitler, M., & Haider, S. J. “An Economic View of Food Deserts in the United States.Understanding the Economic Concepts and Characteristics of Food Access” Department ofAgriculture-Economic Research Service (USDA-ERS) 2009(9) City-Data. Westwood neighborhood in Denver, Colorado (CO), 80219 detailed profile.Visited October 2012. .(10) Re:Vision International. Our Impact. Visited October 2012. Page 20.38.6.Page 20.38.7
the Dun and Dun Learning Style Model. (11)The MBTI, based on Jung’s theory, has been popular in explaining differences inlearning for normal people. The dimension of most interest for learning is sensing (S)versus intuitive (N) type. (12) The sensing person prefers a straightforward, logical, step-by-step approach to learning. The sensing person, often learns by solving problems, andtends to find theory difficult. The intuitive individual, on the other hand, will skip stepsand follow hunches. He /she learns from theory and tends to do a minimal number ofproblems because they think they understand without having to solve problems. (13)Perry’s Model of College Student Development (14) can also be used to monitor studentlearning. According to
handwritten homework to assess students' presentation skills. This isrelatively easy in lower enrollment courses (30-36 students) in which professors can oversee theproblem solving process. Some (like ourselves) have the ability to teach at smaller schools andthere are ways to use hybrid approaches of online and handwritten homework to assess andinstill the importance of effective technical communication. We are not sure what the solutionwill be in large enrollment courses.References[1] Kolowich, S., "A Truce on the Tech Front at San Jose State", The Chronicle of Higher Education, 2013.[2] Rose, A.T.," Graphical Communication Using Hand-Drawn Sketches in Civil Engineering", Journal of Professional Issues in Engineering Education &
single iteration of the MDM structure. The “final report” for this stagepertains to only this stage and will not contain a self-reflection statement. It is however expectedto contain a discussion and proposal of alternative design process and parameters. Thesealternatives, that may prove more efficient and or lead to better filters, are to be discussed withreference to some figure(s) of merit (FOM) that the students arrive at while characterizing theinitial MDM filter. Obvious choices for device FOM would be percent reflectance andbandwidth of the MDM filter. Other FOMs could be developed around cost and performance ofthe final device. Guided by these choices and outcomes from the initial stage, students carry outa second iteration (process
). Curriculum planning for the development of graphicacy. Design and Technology Education, 18(2), 32-49.3. Fry E. (1981). Graphical literacy, Journal Of Reading, 24(5), 383-390.4. Grignon, M. 2000. Deux brouillons : le croquis et la maquette. In: BIASI, P., LEGAULT, R. (ed.) Genesis No. 14: Architecture.5. Uttal, D. H., Meadow, N. G., Tipton, E., Hand, L. L., Alden, A. R., Warren, C., & Newcombe, N. S. (2013). The malleability of spatial skills: A meta-analysis of training studies. Psychological Bulletin, 139(2), 352-402.6. Miller, D. I., & Halpern, D. F. (2013). Can spatial training improve long-term outcomes for gifted STEM undergraduates?. Learning & Individual Differences, 26141-152.7. Marunic, G., & Glazar, V. (2013
Consent. Annals of the American Academy of Political and Social Science, Vol.250, No. 1, Communication and Social Action, pp.113-120. 2. Denning, S. (2007). The Leader’s Guide to Storytelling. New York: Bantam) 3. Fairhurst, Gail Theus and Farr, Robert A. The Art of Framing: Managing the Language of Leadership. (Bloomington, IN: Jossey-Bass). 4. Gardner, Howard. (2011). Preface to Leading Minds: An Anatomy of Leadership. (N.Y.: Basic Books). Originally published in 1995. 5. Gavin, N.T. (2009). Addressing climate change: A media perspective. Environmental Politics, Vol. 18, No. 5, pp. 765-780. 6. Matthes, J. (2009). What’s in a frame? A content analysis of media framing studies
. This preliminaryanalysis has also helped us understand what types of differences merit framing in underlyingeducational and social psychology for future work.AcknowledgementsThe authors would like to gratefully acknowledge the National Science Foundation for theirpartial support of this work under the REESE program (DRL-0909817). Any opinions, findings,and conclusions or recommendations expressed in this material are those of the author(s) and donot necessarily reflect the views of the National Science Foundation.Bibliography1. Bandura, A., (1997) Self-efficacy: The exercise of control. Macmillan.2. Richardson, M., Abraham C., & Bond, R. (2012) Psychological correlates of university students' academic performance: A
AT test lab. All REV/Tparticipants have full access to these resources offering another avenue for experiential learning.Ability to quickly prototype ideas is a quintessential need of any design course, and REV/Tparticipants are allowed access to prototyping tools ranging from the basic crafts to advanced Page 24.1027.3desktop 3D printing.REV/T is split into two main sessions: the first session (typically spring) focuses on an AssistiveTechnology (AT) project-based course where VwD and teachers collaborate on product designproject(s), followed by the second session: a K-12 curriculum development session for theteachers and continuing research
Page 24.1055.10students as they pursue their goals in an engineering career.AcknowledgmentsThe funding was provided by the L.C. Smith Faculty Excellence Award.References1. S. D. Sheppard, K. Macatangay, A. Colby, W. M. Sullivan, Educating Engineers: Designing for the Future of the Field. Carnegie Foundation for the Advancement of Teaching (2008).2. E. J. Coyle, L. H. Jamieson, W. C. Oakes, Integrating Engineering Education and Community Service: Themes for the Future of Engineering Education. Journal of Engineering Education (2006) 7-11.3. Combustion and Energy Research (COMER) laboratory. Available from: http://lcs.syr.edu/faculty/ahn/4. D. W. Johnson, R. T. Johnson, K. A. Smith, Active Learning: Cooperation in the College Classroom 8th
. Nagchaudhuri, A., Mitra, M., Zhang, L., & all, e. (2013). AIRSPACES: Air-propelled Intrumented Robotic Sensory Platform(s) for Assateague Coastline Environmental Studies- A Multidisciplinary Experiential Learning and Research Project at a Minority Serving Land Grant Institution. IEEE Frontiers in Education Conference (pp. 1623-1625). IEEE.4. Lego Mindstorms NXT. http://www.lego.com/en-us/mindstorms/?domainredir=mindstorms.lego.com5. Dexter Industries DGPS. http://www.dexterindustries.com/dGPS.html6. Vernier Sensors. http://www.vernier.com/products/sensors/7. ARCGIS website. http://www.esri.com/software/arcgis8. IDETC 2013. http://www.asmeconferences.org/IDETC2013/index.cfm