, People, Policy andStrategy, Partners and Resources. The four Results criteria (outcomes of the enablers andindicate the quality standard) include Customer Results, People (Staff) Results, Society Resultsand Key Performance Results. Each enabler or result criterion has several sub-criteria and eachsub-criterion is assessed by five levels from no quality to highest level of achievement. Thesefive levels have the following characteristics:Level 1: Quality depends solely on the individual (no processes) The activities depend on individual initiatives, and entire unit is not involved.Level 2: Process awakening (basic processes) Some shared responsibility with some short-term planning. Some process
Bloom’s taxonomy6 suchas knowledge, comprehension and application. But this mode of instruction is less likely toemphasize the higher-order cognitive skills of analysis, synthesis and evaluation. In this learningmodule that teaches gauge R&R, students must design a sampling plan for a gauge R&R studythat involves different measuring devices with different characteristics, conduct and evaluatemultiple gauge R&R studies, and recommend a measuring device based upon the analysis of thegauge R&R studies.The remainder of this paper will present the Mouse Factory learning system, the gauge R&R Page 23.1144.2project, results from the
number of constraints: • Accommodate large class sizes: plan for nearly 300 students per year • Limited financial and personnel resources: $10/student and existing machine shop staff • Respect for departmental history: freshmen must still make the traditional machinist’s hammer that has been part of our curriculum for decades • Allow students to be creative in a meaningful way • Pose the problem in such a way that there is not one obvious solution • Require collaborative effort within teams (and between teams, if possible) • Require analysis appropriate for students who have completed high school physics and pre-calculusThe project identified for this course is to charge students with designing a mechanical
, product design, process design,laboratories, and many others. Below the lintel are the four pillars whose labels are taken fromthe program criteria for ABET accreditation of manufacturing engineering and manufacturingengineering technology programs. (Reference 2) These are: • Materials and manufacturing processes: understanding the behavior and properties of materials as they are altered and influenced by processing in manufacturing • Product, tooling, and assembly engineering: understanding the design of products and the equipment, tooling, and environment necessary for their manufacture • Manufacturing systems and operations: understanding the creation of competitive advantage through manufacturing planning
at Georgia Tech completing her Ph.D. research as part of the Infrastructure Research Group (IRG). She also completed a teaching certificate and was actively involved with the Center for the En- hancement of Teaching and Learning (CETL) at Georgia Tech. Her academic interests focus on two primary areas of sustainable transportation: (1) community-based design and planning and (2) strategic planning and policy development. Dr. Barrella is also interested in investigating how to best integrate these research interests into classroom and project experiences for her students.Dr. Robert L. Nagel, James Madison University Dr. Robert Nagel is an Assistant Professor in the Department of Engineering at James Madison University
roundsare used until an adequate group consensus is reached. This study utilized a questionnairedeveloped considering the individual input from a group of twelve practicing structural engineersand several academics from the Denver and Front Range Colorado area for an e-mail basedsurvey planned for a maximum of three rounds. The first two rounds of the survey were devotedto obtaining a distribution of respondee’s expectation for achievement levels to be reached by theaspiring structural engineer both upon completion of a masters-level program in structuralengineering and after five years of practice in the profession. If the results of Round 2 variedsignificantly from those of Round 1, the planned use of Round 3 was to conduct Round 3 in thesame
Computing Learning Activities with ScratchAbstractIn this paper we present a case study of 117 Colombian elementary grade students’ performanceand perceptions of a learning activity aiming to promote computational thinking guided by theCollege Board’s CS Principles and Scratch. The lesson plan was designed by the teacher as partof a three-day teacher professional development workshop within an advanced topics course fora master degree in engineering. As part of the workshop, participants were invited to implementtheir designs in their own classrooms and, together with the researchers, conduct classroomaction research. Workshop participants designed their own instruments and gathered data onstudents’ perceptions of the learning module and identified
Paper ID #7976Assessment of Spatial Visualization Skills in Freshman SeminarDr. Samantha Islam, University of South Alabama Dr. Samantha Islam, Ph.D. is an assistant professor of civil engineering at the University of South Alabama. She received her B.S. from Bangladesh University of Engineering and Technology and her M.S.C.E. and Ph.D. from Purdue University. Her research interests include application of econometric and statistical methods to a variety of transportation engineering problems, including highway safety, traf- fic safety and transportation planning. Dr. Islam is actively involved in developing an
post-graduation plans of seniors—plans to pursue engineering or non-engineeringwork and plans to attend engineering or non-engineering graduate school—are students‘confidence in their professional and interpersonal skills and their level of intrinsic psychologicalmotivation to study engineering. These two variables, when taken in combination, alsodistinguish the overall college experience of students. 4STEM Major PersistenceThere is little national research available on major retention. Major retention is challenging tomeasure as students declare majors and never begin coursework. Others begin coursework yetonly formally declare majors in their second or even third year of study. According to theAmerican Society of Engineering Education
and Mold Making program, leadingto an Associate of Applied Science degree.Identifying linkage to outcomes such as these is fairly common at the program and course level.In this study, the relevant skills are integrated at the assignment level as well. In courses whereassignments did not support these skills, assignments were added or modified as appropriate.For example: communication, critical thinking, and teamwork were integrated into laboratory(machining) sections through the use of individual and team based projects. These projectsrequired written plans, written evaluations at the conclusion, a reflective paper to cementlearning, and a presentation to the class and others.This paper will provide a detailed description of how this
planning to form their own company. Fifty-two percent, of them, were studentsstudying engineering and technology, where problem based education fosters critical, creative,and innovative thinking. At that point, Wentworth did not offer support for these studentsinterested in forming their own companies. However, entrepreneurship is a mindset not onlyapplicable to those launching their own companies, but relevant for anyone seeking to reinvent,improve and advance in any organization. We realized these are qualities applicable to all of ourstudents. At Wentworth, education centers on interdisciplinary, experiential, and project-basedlearning. While these are an integral part of Wentworth’s curricula, an extended and moredisruptive approach was
included in this project is the definition of the modules andtheir content, and the labs, projects, practices that are recommended for implementation. Thisproject is partially funded by an NCIIA planning grant, and it is expected that it will serve as amodel for integrated modification of design in engineering technology programs..Keywords: Innovation, Entrepreneurial, Engineering Technology. Page 23.914.2INTRODUCTIONFor highly competitive and globalized markets there are a plethora of technical and humanitarianmethodologies and philosophies that have been developed or implemented [Gra], all of themwith the goal of providing a competitive advantage
career has been dedicated to non-profit organizations in the form of events planning, development, grant writing, and coordinating educational activities for K-12 students.Dr. Krystal S Corbett, Cyber Innovation CenterMr. Geoffrey ”G.B.” Cazes, Cyber Innovation Center/National Integrated Cyber Education Research Center G.B. Cazes serves as the Cyber Innovation Center’s (CIC) Vice President and Director of the CIC’s Na- tional Integrated Cyber Education Research Center (NICERC). The CIC is a 501c3 not-for-profit corpora- tion whose mission is to support the development of a knowledge-based economy throughout the region. To that end, the CIC developed NICERC to oversee its robust academic outreach and workforce devel
. Finally, to supplement the SRLI where we thought we had insufficient questions for ourcontext, several questions were added from the Learning Strategies section of the MotivatedStrategies of Learning Questionnaire (MSLQ) 19. The MSLQ was designed specifically for use incollege classroom settings. Page 23.392.6 The final Learning Strategies section for the Phase 1 Survey contains 31 questionscovering 11 constructs. The constructs for the learning strategies portion of the Phase 1 Surveywere developed using the original categorizations (scales) suggested during the development andvalidation of the SRLI 33 including Planning, Keeping Records
activities designed to introduce engineering concepts while specifically addressing thesestandards are introduced to the teachers along with success stories. Free and readily accessiblelesson plans are from the IEEE sponsored tryengineering.org web site, TED.com andEngineering Go For it, eGRI.com are used. The intent was to introduce and assess teacherbackground knowledge on topics that their students should see in the years just before and aftertheir grade level. Unique to this workshop is the consistent attention to specific math andscience standards addressed, as well as the use of an engineering design process as a problemsolving tool.The first year of the program culminated with a symposium, where teachers demonstrated thesuccesses from their
WA = Work Activity Risk Factor LT = Leisure Time Risk Factor Page 23.1048.4 FW = Food and Water Risk Factor D = Disease Risk Factor L = Location Risk Factor E = Emergency Services Risk Factor U = Local Unrest Risk FactorEach of these factors needs to be assigned a value of 1 to 5 depending on how significant thatrisk is relative to the currently proposed activity. For example, if the plan is to take 10 studentsacross the street to visit a local museum in an urban area, they will likely walk and thetransportation risk would be zero. On the other extreme, if the plan is to take 50 students to
teaching practices by engineering faculty islimited (e.g., [4]). Our own research confirms these findings at the University of Michigan (U-M,a large, public research university) where we recently observed a random sample ofundergraduate, lecture-based engineering classes and discovered that the use of active learningand effective student questioning was surprisingly low [2]. To achieve wider adoption ofeffective teaching practices at our college of engineering, we are working to develop aninstitutional change plan. This paper describes one part of that change plan: a series of facultyfocus groups we conducted to explore factors that influence faculty motivation to adopt effectiveteaching practices.We use the Expectancy-Value Theory (EVT, [1, 6
thirteen undergraduate students who participated in the program in2012. Five of the 13 students worked directly with a faculty member and eight students wereassigned a graduate student mentor in addition to working with faculty mentor. This studyfocused only on the eight undergraduate students who were assigned a graduate student mentor.Of the eight students, six students attended four-year universities and two attended localcommunity colleges. Four of the student attending four-year universities had declared/planned tomajor in biomedical engineering, one in bioelectronics, and one in industrial engineering andeconomics. One of the community college students was planning on pursuing a degree in biologyand the other was considering engineering
’ Griffis, Polytechnic Institute of New York UniversityProf. Andrew J Bates, Polytechnic Institute of New York University Professor Andrew Bates is an experienced senior construction manager with a proven ability to plan, di- rect and complete construction and engineering projects safely, on time and within budget. His ability to communicate, motivate people and devise successful action plans in both small and large organizations has allowed him to thrive in high stress, fast-paced work environments requiring multi-tasking and im- mediate decision making skills. Since 2009, Mr. Bates has been passing his knowledge and experience onto students in the Civil Engineering Department at Polytechnic Institute of New York University
research. Some examples of the contexts usedfor mathematical modeling include: Consumer Science – college planning, auto insurance risk, cell phone plan selection Logistics – routing and planning, deployment of government emergency services Page 23.1006.2 Health Care – patient scheduling, nutritional optimization, and epidemiologyThese mathematical models are both deterministic and probabilistic. Additionally, technology isused to further provide the real world context of decision-making using mathematically-basedcritical thinking. The basis of this course is the NSF-sponsored Mathematics INstruction usingDecision Science and
related activities using digital fabrication impacted (1) preservice elementaryteachers' efficacy beliefs about teaching science, and (2) their attitudes and understandingof effective approaches to integrating technology and digital fabrication into teachingscience. The research compared two intervention sections integrating digital fabricationactivities, with a third section without digital fabrication activities. Data collected foranalysis included the Science Teaching Efficacy Belief Instrument and the preserviceelementary teachers' answers to open-response questions about technologies they plan touse in their subsequent teaching. The results indicated the importance of: (1) additionalcollaboration from educators interested in creating more
Instruments and MethodologyWe conducted pre- and post-experience surveys of undergraduate researchers participating insummer research programs at Michigan State University during Summer 2012. The pre-experience survey was deployed in the first week of the 10-week summer program, and gatheredinformation about students’ background, preparation for research, and their expectations of whatthe summer experience would involve. The pre-experience survey included a self-assessment ofstudents’ skills and strengths and asked about students’ reasons for participating inundergraduate research, the nature of their early communications with their research mentor, andtheir post-graduation plans (graduate school, career, etc.). Appendix A lists all of the
received question prompts during problem solving performed significantly better thanthose who did not receive question prompts, because question prompts could prompt students tomake meaningful and intentional efforts to identify relevant factors; help them organizeinformation and plan the solution process; assist them in articulating their solution process;evaluate the selected solutions, and compare alternatives for the most variable solutions. 25Davis and Linn also found that reflective prompts supported knowledge integration andencouraged reflection at a level that students did not generally consider. 26 Reflection helps toconnect metacognitive knowledge and metacognitive control. 27 Reflection prompts helpedstudents to self-monitor and study
science. Katarina had no siblings in her family who had completed college. Duringhigh school she took three AP science courses and had a GPA of 3.9. Katarina’s roommate, aPhD science student, was the person who encouraged her to participate in an undergraduateresearch experience. She decided to apply because she thought it would be a great opportunity tofigure out what it would be like to have a career in bioengineering. She also hoped that theprogram would help her make more definitive academic and career plans. Katarina had completed one year of community college before the start of theundergraduate research program. She planned on earning her associates degree and thentransferring to a 4-year university. Bachelor degrees she was
objectivesfor each class level and course content (e.g., demonstrate knowledge in the first-year courses,evaluate alternatives in third-year courses). The paper will describe an ‘Implementation Method’and a ‘Proposed Evaluation Plan’ for Arizona State University, establishing learning objectivesand performance metrics to assess the learning outcomes.BackgroundIncluding BIM in the CM curriculum at ASU was based on factors such as - the full course load,maintaining accreditation criteria and tailoring the objectives to the purpose of constructionmanagement rather than architecture or engineering design (2). After conducting relevantsurveys and research, ASU in Fall 2008 started offering a ‘BIM Lab’ adjunct to the senior level‘Project Management’ core
Paper ID #7872Incorporating a Sustainability Module into an Introduction to EngineeringCourseDr. Leonardo Bedoya-Valencia, Colorado State University, Pueblo Leonardo Bedoya-Valencia is an Assistant Professor at the Department of Engineering at Colorado State University, Pueblo. He received his M.Sc. in system engineering and his Ph.D. in engineering manage- ment from the National University of Colombia and Old Dominion University, Norfolk, VA, respectively. His research interests include scheduling, operations research, and modeling and simulation in health care and energy planning. He has participated in several funded
open-ended experimentation,students were provided sufficient time for thorough planning and were provided a small budgetfor supplies and materials to support their investigations. The students reacted favorably to thisformat and took this assignment seriously. This assignment became the cornerstone of the classfor the terms that this activity was included and effectively replaced a final examination. Forseveral times this activity has been incorporated, we held a planning session for an entirelaboratory period two to three weeks before the project was due. This timeline allowed sufficienttime for development of scope, purchasing of materials, conducting experiments, and analyzingand interpreting results.Throughout this investigation
science and engineering vocabulary as a way to reflect on their engineering experience and process their results. Each unit Teacher Guide provides the relevant science and engineering background information for the teacher as well as detailed lesson plans that emphasize student-centered, inquiry-based learning. Catching the Wind is an engineering unit where students use their knowledge of wind energy, creativity, and the Engineering Design Process to design blades for a windmill that will harness the wind’s energy to do work. As with all EiE units, Catching the Wind is divided into four lessons: o Lesson 1 is a storybook that features children from a variety of cultures and backgrounds and introduces
work process.”3 In the context of this research theresearchers refer to this as a process of interdisciplinary ‘knowledge creation’.5As is evident in the litigious nature of the AEC industry, collaboration is not an innate skill ofarchitects, engineers and constructors. It has to be learned and professional schools have anobligation to teach it. This paper reports on an effort to develop a theoretical and practicalunderstanding of the issues associated with collaboration and suggest a process by whicheducators within the AEC disciplines can facilitate the learning of this critical skill.The Learning Knowledge ModelPuddicombe4 offered evidence that performance within the built environment required amovement away from planning as an isolated
status, but not between time and TAs’ discipline affiliation.Recommendations for increasing TA self-efficacy and preparedness are provided as aredirections for future research.1. IntroductionAt large, research-intensive universities, many graduate students receive funding for their studiesthrough assistantships that involve research, teaching, or some combination of the two 1. Thosegraduate students who are funded as TAs are typically asked to become involved in a widespectrum of teaching activities ranging from grading undergraduate student work to serving asthe primary instructor for an undergraduate course1. Teaching opportunities are critical tograduate student development as those who plan to pursue careers in academia are likely to