S.A. Meyers, The Teaching Assistant Training Handbook: How To Prepare TAs for Their Responsibilities. Stillwater, OK: New Forums Press, 2001.3. Robinson, J.B., "New Teaching Assistants Facilitate Active Learning in Chemistry Laboratories: Promoting Teaching Assistant Learning through Formative Assessment and Peer Review," Journal of Graduate Teaching Assistant Development, vol. 7, pp. 147-162, 2000.4. Black, B. and M. Kaplan, A guidebook for University of Michigan graduate student instructors: Center for Research on Learning and Teaching, 1998.5. Harris, A.H. and M.F. Cox, "Developing an Observation System to Capture Instructional Differences in Engineering Classrooms," Journal of Engineering Education, vol
starts with a short introduction to robotics, for example, what is arobot and how a robot differs from other automatic systems. The learning takes place in arobotics laboratory in which the students construct and program small portable robotsusing the Lego NXT robotics environment. The robot comprises a digital controller,motors and sensors, as illustrated in Figure 4. Page 15.1003.5 Figure 4: Lego NXT robot.The students use an icon-based programming language that enables full control of eachmotor. Figure 5 presents a simple command in which robot motors A and B perform 2.31rotations at 75% full power. Figure 5: An
extraction algorithms. Disciplines such asengineering, where series are ubiquitous, will then be on a level playing field when itcomes to search and retrieval of technical information.Bibliography 1. Coyle, K. (2006). Mass Digitization of Books. Journal of Academic Librarianship, 32 (6): p. 643. 2. Coyle, K. (2006). Mass Digitization of Books. Journal of Academic Librarianship, 32 (6): p. 644. 3. Kimball, R., Weimer, K. H., & Surratt, B. (2005). Digitizing the series Geologic Atlas of the United States (1894-1945); access and preservation of older geological literature using an institutional repository. Proceedings of the Geoscience Information Society, 36: p. 109. Results of
OrganizationalDevelopment Network of Thailand Higher Education (ThaiPOD).Bibliography1. D. Lavansiri, and S. Koontanakulvong, Use of CUQA in Quality Assurance System of Faculty of Engineering, Chulalongkorn University, Proceeding of the 4th ASEE/AaeE Global Colloquium on Engineering Education, Sydney, 26-29 September 2005.2. A. C. Cleland and B. J. Wakelin, Graduate Profiles for Washington Accord degrees; Broad Principles and the Design Component. Engineering Design in Engineering Education: JABEE Symposium/Workshop, Tokyo, Japan, December 2004.3. Canadian Council of Professional Engineers (CCPE), Task Force Report on the Future of Engineering Education, July 1988.4. Commission on Engineering and Technical Systems (CETS), Engineering Employment
Page 15.413.1three full time faculty as well as two long time part-time faculty who had been teaching coursesrelated to design, including the 286A/B sequence. The committee’s charge from the DepartmentChair was to create a new design stem of courses to support our program’s learning outcomes,without being constrained by the format of the existing course sequence. The committee was touse the Conceive-Design-Implement-Operate (CDIO) framework as a template for this review.CSUN has been a CDIO collaborator since 2005, and has adapted the CDIO syllabus2 to theneeds of our student population, which is characterized by significant racial and ethnic diversity,as well as large variances in academic preparation3. The application of CDIO principles to
. Carlin, “A six year longitudinal study of undergraduate women in engineering and science,” Journal ofEngineering Education, 1998, 87: 369-376.11 Hawks, B. K., J. Z. Spade (1998). Women and men engineering students: Anticipation of family and work roles. Journal ofEngineering Education, 87(3), 249-256, July 1998.12 Hackett, G., N.E. Betz, J.M. Casas, and I.A. Rocha-Singh, "Gender, ethnicity, and social cognitive factors predicting theacademic achievement of students in engineering," Journal of Counseling Psychology, 1992, 39: 527-538.13 Marra, R. M., Rodgers, K. A., Shen, D., & Bogue, B. (2009, January). Women Engineering Students and Self-Efficacy: AMulti-Year, Multi-Institutional Study of Women Engineering Student Self-Efficacy
Page 15.217.3its home position to a scale-model refrigerator, pick up a plate of food from a shelf, navigate tothe table where a person with mobility impairment is sitting, places the plate on it, and return tothe home position. Robots must avoid collisions with obstacles—a sink, a chair, and a second,elderly person—whose positions are not precisely known (Figures 1, A and B). A beacon,consisting of three bright red light-emitting diodes (LEDs) mounted on edge of the shelf,indicates the location of the plate. The plate is a plastic pet food can top filled with Cheerios.The scoring formula weighs reliability first (the top group consists of robots that succeed on allthree runs) and uses time as a differentiator within each reliability group.Ten
EngE1024Core Concept LabVIEW(LV) topic covered Activity/HomeworkA Introduction to LV programming Watching LabVIEW video that environment, VIs introduces the programming environment and dataflow programming using a small program. Completing LabVIEW tutorial (finding the roots a quadratic equation)B Controls and Indicators, Data Calculating grade from grade types components Observing dataflow by execution
timing plan will bethe basis for Scenario IV-(b).Scenario IV-(b) will strive to have longer, more realistic intervals to increase the intersection’sperformance. MOE’s for this scenario will once again be tabulated. It is anticipated that in thiscase the intersection will be operating rather optimally. To create another scenario there will bea shift in volumes, e.g. twice the volume E-W than N-S, while maintaining the same signaltiming plan - this will be Scenario IV-(c).At the end of all the scenarios, the MOEs from each will be compared to provide both aqualitative and quantitative measure of how different means of controlling an intersectionperform. The instructors will emphasize the use of a traffic signal, and provide the take-homemessage
)building relationships with the business community; and (5) showcasing success.” p. 34.Standish-Kuon and Rice chose not to distinguish the models by whether the content countedtowards a degree. They found three models, with the most significant discriminator being thelocation within the university: (a) the business school, (b) the engineering school, or (c)collaboration between the two.Streeter and Jaquette3 looked at the spread of entrepreneurship education beyond business andengineering, dividing all approaches into two types: “If the program is intended to infuse theinstitution with entrepreneurship education, we call it a university-wide program. Next, weexamine the location of the faculty and teachers to determine if it is a magnet or a
the entire class. This course supports the achievementof the following outcomes: a) an appropriate mastery of the knowledge, techniques, skills andmodern tools of their disciplines; and b) an ability to apply current knowledge and adapt toemerging applications of mathematics, science, engineering and technology. For course topicaloutline, see Table 1.Table 1: Topical Outline Week Topic 1 Introduction, Conventional Energy Provision Systems; Review Basic Electric and Magnetic Circuits; 2 Fundamental of Electric Power; Power System Components 3 Basic of Renewable Energy Supply; Passive Utilization of Solar Energy 4 Distributed Generation 5 Wind Energy Conversion
of mass flow rate, heat input as well as pressure andtemperature at various locations. A corresponding CFD simulation for this experiment was Page 15.1065.6introduced into the lab in 2003 so that students could see the experimental and CFD approachesside-by-side. FlowLab was the CFD software used until 2009 when it was replaced withFLUENT 12 which is integrated into the ANSYS Workbench interface. Figure 1: Schematic representation of the heated flow apparatus. A, B, C, and D are pressure taps; labels 1-10 are locations of thermocouples.This is the first CFD experience for most students. FlowLab was originally used
State University and a Professor in the Materials Science and Engineering Department. Dr. Callahan received her Ph.D. in Materials Science, her M.S. in Metallurgy and her B.S. in Chemical Engineering from the University of Connecticut. Her educational research interests include freshmen engineering programs, math success, K-12 STEM curriculum and accreditation, and retention and recruitment of STEM majors. She is an ABET program evaluator for ceramic engineering, chemical engineering and materials science and engineering programs.Cheryl Schrader, Boise State University Cheryl B. Schrader is Dean of the College of Engineering and Professor of Electrical and Computer Engineering at Boise
.7Research questions (provided here in Appendices A, B and C) were both formative andsummative. To document successes and challenges in the implementation of the program, afterthe first summer session external evaluators conducted telephone interviews with six staffmembers and conducted a discussion group with the 13 participating teen interns. Thesequalitative data were gathered for the purpose of guiding the further development and refinementof the TYR program. As part of the ongoing evaluation, teen interns continue to be asked forsuggestions for improvements to the program.The primary outcomes for teen interns are gains in their radio production and communicationskills (for example, in sound gathering and editing, script writing, and
Education Annual Conference, Portland, Oregon, June 2005, CD-ROM, 16 pages. http://soa.asee.org/paper/conference/paper- view.cfm?id=2156111. Anderson-Rowland, M.R., Vanis, M., Zerby, D., Banks, D., and Matar, B., “METS Pilot Program: A Community College/University Collaboration to Recruit Underrepresented Minority Students into Engineering,” Proceedings of the American Society for Engineering Education Annual Conference, Salt Lake City, Utah, June 2004, CD-ROM, 9 pages. http://soa.asee.org/paper/conference/paper-view.cfm?id=2017212. Anderson-Rowland, M.R., Banks, D.L., Vanis, M.I., Matar, B., Chain, E., and Zerby, D.M., “METS: A Collaboration to Assist Student Transitioning into Engineering from the Community
AC 2010-1195: DESIGN OF THE LEARNING ENVIRONMENT FORINCLUSIVITY: A REVIEW OF THE LITERATUREChirag Variawa, University of Toronto Chirag Variawa graduated with a degree in Materials Science Engineering from the University of Toronto in 2009. He is currently pursuing a graduate degree in Industrial Engineering at the University of Toronto.Susan McCahan, University of Toronto Prof. McCahan: B.S. (Mechanical Engineering), Cornell University, M.S. and Ph.D. (Mechanical Engineering ), RPI. Dr. McCahan is currently the Chair of First Year in the Faculty of Applied Science and Engineering at the University of Toronto. She has been with the Department of Mechanical and Industrial Engineering at
SummerBridge Program had the following three overall objectives: (a) “to help at risk students develop asolid foundation of problem solving skills that will facilitate their advancement in theengineering math curriculum,” (b) “to help students gain a deeper appreciation for the role thatmath and science plays in the engineering field,” and (c) “to integrate first year students into thesocio-academic environment of the College of Engineering and help smooth their transition tocollegiate life.” Achievement of the objectives was evaluated with pre and post survey datacollection and math performance measures.Achievement of ObjectivesOne objective of the Summer Bridge Program was “to help at risk students develop a solidfoundation of problem solving skills
previous phases. Tools used were a Correction Action Matrix anda statistical hypothesis test to verify and measure improvement.The team implemented an action plan to improve the surveys that included creating one SeniorSurvey for all ABET-accredited programs within CAS. Additional improvements includedadding/updating lifelong learning questions in the Alumni Survey (Appendix A) and EmployerProfessional Practice (PP) Survey and the Senior Survey (Appendix B), changing theadministering body for the Alumni Survey to the Director of Assessment, and updating theadministering body and methodology for the Alumni Survey. The action plan relates to thosefactors rated most highly in the Significant Factor Selection Matrix (Figure 10), with theexception of
400 0 0.8 1 1.2 1.4 1.6 1.8 2 2.2 2.4 [m\s] Figure 19 : Power from varying Resistive Loads (Ampair® UW100), units in Ohms Power as a function of Velocity and Resistance Power = a+b*V+c*V^2+d*V^3+e*R+f*R^2+g*R^3 (V=Velocity and R=Resistance) 120 100 80 100‐120 [Watts] 60
Colorado, Boulder JANA B. MILFORD is professor of mechanical engineering and faculty advisor for the Engineering GoldShirt Program at the University of Colorado at Boulder. She holds a Ph.D. in Engineering and Public Policy from Carnegie Mellon University and a J.D. from the University of Colorado School of Law. Her research and teaching focus on atmospheric chemistry and transport modeling and air quality management.Beth Myers, University of Colorado, Boulder BETH A MYERS is assistant to the Associate Dean for Inclusive Excellence at the College of Engineering and Applied Sciences at the University of Colorado at Boulder. She holds a B.A. in biochemistry and is a graduate student in the
excellent work (A), good work (B), and acceptable work (C). Page 15.236.10 What skills labs do you think will be the most useful for....? this course women this course men (Rank from 1 to 10, 10 = most useful) other courses women other courses men Most Useful 9 career women career men 8 7 6 5 4 3 2
feel strongly about, regardless of their team’s official position.Each team receives a team grade, based upon a combination of: a) the written position statement,b) the instructor’s judgment of the team’s approach to their presentation and the strength of their Page 15.62.6arguments, and c) the audience’s opinion of each team’s effort (a debate evaluation is filled outby the class to provide critical feedback to each team). Team Widget Deconstruction ProjectStudents also engage in a collaborative capstone research experience in which 5-person teams dotheir own widget deconstructions and present those findings to
importance of their professional engagement in public welfare. This paper utilizesunique quantitative longitudinal panel data which follow cohorts of engineering students at fourdiverse institutions (MIT, UMass, Smith and Olin) for four years. In order to determine ifprofessional socialization cultivates engaged and socially conscious engineers, I analyze (a)whether engineering programs actually emphasize ethical engagement in issues of publicwelfare, (b) whether students’ social consciousness and belief in the importance of publicengagement increase over the course of their college careers, and (c) whether programmaticemphasis is causally related to these changes. The results suggest there is much work to be done:Not only do programs lack an
peers (through social functions andthe ECASE study hall), and the profession (through industrial mentors). Thus far, all of theScholars from the first year of the program have continued to progress in electrical engineeringand the Scholars from the second year are adjusting well into both the engineering departmentand the University itself. Page 15.460.7AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant NoDUE-0728434.Bibliography1. Anderson-Rowland, M. R., M. I. Vanis, D. L. Banks, B. Matar, D. M. Zerby, E. Chain, 2004, “METS: A Community College/University Collaboration to Recruit
blocks included on the diagram (blocks 2 and 3) and the tensionon the ropes that connect to blocks 2 and 3 only. A lack of understanding from any of theconcepts just explained will cause an examinee to choose the incorrect answer. Therefore, for an examinee to answer correctly item 1, he/she should have an understandingof the representation of weights. This cognitive attribute is directly related to errors 4 and 5 andwill be referred to as weight on block (attribute 4). A misconception of this attribute will causean examinee to select alternatives a, b, and e. The second cognitive attribute for this item will bereferred to as tension in ropes (attribute 6) and is directly related to the ability of an examinee torepresent this type of force
the success of the college-wide multidisciplinary course, a second round of this course iscurrently underway. The department’s represented by the faculty teaching the course will berotated each year so that all departments have an opportunity to participate. 1. Eggert, R., “Engineering Design: Are We Teaching the Right Stuff,” Proceedings of the 2007 ASEE Annual Conference and Exposition,” June 2007, Honolulu, Hawaii.2. Criteria for Evaluating Engineering Programs, Engineering Accreditation Commission, ABET Inc, 2006.3. Tuckman, B., “Developmental sequence in small groups”, Psychological Bulletin, 63, 384-399. The article was reprinted in Group Facilitation: A Research and Applications Journal Number 3, Spring 2001 and is
. Program Educational Objectives Each program must have in place: a. published program educational objectives that are consistent with the mission of the institution and applicable ABET criteria, b. a documented process by which the program educational objectives are determined and periodically evaluated based on the needs of constituencies served by the program, and c. an educational program, including a curriculum, that enables graduates to achieve the program educational objectives.4 Page 15.49.2As the changes to the accreditation process were implemented, the alumni survey became
diagnostic applications. She recently was voted to be the Graduate Ambassador for Chemical Engineering Department at MSU and also has won an award for maximum number of publications in a year. She is associated with Medical microDevice Engineering Laboratory (M.D.-ERL) at MSU working under Dr. Adrienne Minerick. Soumya is an active member of AIChE, AES, ASEE, SWE and Sigma-Xi.Anurag Srivastava, Mississippi State University Anurag K. Srivastava received his Ph.D. degree from Illinois Institute of Technology (IIT), Chicago, in 2005, M. Tech. from Institute of Technology, India in 1999 and B. Tech. in Electrical Engineering from Harcourt Butler Technological Institute, India in 1997. He is working as
data everyfive minutes, the client requests the query module to group monthly data into a list of daily Page 15.1059.7(86400 seconds) data. Within each day, all sensor data will be aggregated to calculate only onesum value.Page 15.1059.8sensor by clicking on the map, switching the length of observation time frame to a year, a month,a week, a day, or four hours, turning to previous/next time frame by panning right/left on the linechart, and picking a specific value from a sensor at a certain time (Figure 3(b)). If the useroperations require new data, a JSON-RPC request is generated and sent to the query module onthe middleware. Once new data
and employers with a competitive edge.”3In October of 2008, to ensure that apprenticeship remains a highly successful talent developmentstrategy, the US DOL published revised regulations governing the National Apprenticeship System.These revised regulations update Title 29 CFR, part 29 and provide a framework that supports anenhanced, modernized apprenticeship system. Important to the apprenticeship program at Mosaic,the revised regulations, specifically §29.5(b)(2), present a new competency-based pathway forprogress through a registered apprenticeship program, “competency-based approach, involvingsuccessful demonstration of acquired skills and knowledge by an apprentice, as verified by theprogram sponsor, with an OTJ learning component and