communication barriers.The analysis of the subgroup Ambivert types has been combined with the analysis of the currentcommunication modes to present a recommended intra-team communication structure. Thisstructure describes modes of communication that may generally be expected to be successful. Itshould be noted, however, that individuals within the sub-teams may have differentcommunication types and that this plan may, and probably will, have to be adjusted by theproject manager based on the personnel actually involved.Figure 5 shows the proposed communication flow chart for the team. The Engineering Managernow communicates with all of the engineering teams on a two-way base communication system.All of the engineering teams are also on a two-way base
. Page 26.1091.3The Role of Building RelationshipsIn order to undertake challenging design and build projects with industry sponsors, a substantiallevel of trust must be established between the university and the sponsors. Such projects requirean understanding of the capabilities of the student teams on the part of the corporate sponsors, aswell as an understanding of the culture and expectations of their corporate partners by thestudents and faculty. This level of trust requires long term planning, development, and nurturing.The engineering programs as Grand Valley State University were launched at the request of localindustry in the 1980’s. The programs were designed by a team of faculty in collaboration withpracticing engineers from industry
integration. Theactivity provides an excellent opportunity for students to integrate their knowledge of automationbuilding blocks (such as sensor, actuator, relays, switches, push buttons, PLC and interfacing) inreal-life problem solving. The experience is challenging, but seems positive and has been well-received by students (some have even brought their parents to see their projects). Future plansinclude combining multiple models to form a large scale system, creating an on-linedocumentation system so that teams can blog about their learning experience throughout theproject development stage, and making the systems available to be controlled remotely via theweb. We also plan to conduct experiments using mobile devices for remote control of systems
accurate interpretations of the items by engineering students, (2)accurate alignment of what the instrument is measuring as evaluated by content experts, and (3)support of the instrument and planned intended use of the instrument by education researchersand practitioners. The initial steps for validating the SCAEI presented here, steps which areoften overlooked or ignored by instrument developers [12], have provided valuable informationfor the development of the SCAEI.These results also indicated social and behavioral context that engineering instructors shouldconsider when planning classroom activities. Specifically, the engineering students perceived“arguing” or “defending” ideas as something that is disrespectful to the instructor. If
workThis paper demonstrates that it is possible for a public PUI to develop and deliver a successfulMOOC for relatively low cost using local resources. For this plan to be replicated at other publicPUIs, the instructor(s) must be willing to be only partially compensated for their time; theSummer 2012 workshop stipend and six units of release time received by the lead authorrepresents a fraction of the total time put into the creation of the hybrid course and MOOC. AMOOC developed using the model discussed in this paper would have to be a “labor of love.”While this may turn off many faculty members from creating their own MOOC, the lead authorexperienced a tremendous amount of personal satisfaction from helping hundreds of peoplearound the world
concept. Materials on ‘soft skills’ such as communication, teaming, and project planning may be more universally transferrable. The application of the engineering design process is sufficiently unique for each course to potentially require individualized university-specific introduction videos. In-class exercises need more context and definition. Quizzes need to address higher levels on Bloom’s Taxonomy rather than just recall, understanding, and comprehension. There is currently no consensus on best practices to achieve high compliance of participation for out-of-class activities (watching videos, completing quizzes).Through collaboration with other engineering faculty at the FYEE conference
published, and they are used by over 6500 facultyat over 1200 institutions in 62 countries. The peer-evaluation instrument can be previewed atwww.CATME.org. Although the tools were developed to help instructors manage teams,4,5 theycan also facilitate research on students’ learning and document student outcomes related tolearning and the quality of their team experiences.6 We propose seven empirical studies tomeasure the effect sizes of the following learning experiences: teamwork training, working inteams, rating teamwork, and giving and receiving feedback.Research OverviewThe research plan illustrated by Figure 1 shows our outcomes (in rectangles), the strategies bywhich we expect to achieve them (in ovals), and the studies by which we will
data were shared with fellow researchers and colleagues as a meansto ensure trustworthiness.ResultsOf the 42 posdocs in this study, 69% were in their first postdoc position, 29% were in theirsecond, and 2% were in their third. Of these 42, 48% were interested in academic positions aftertheir current position, while 29% were interested in industry. The remaining postdocs eitherwere uncertain of their plans or had plans unrelated to industry or academia. The followingsections summarize the reasons these postdocs decided to pursue postdoc positions, and theresponsibilities, benefits, and challenges that came with the position. The participants’ genderand field are represented by M (male), F (female), SCI (science), and ENG (engineering).Reasons
expected to be a guy in engineering,” with a sense of exasperation at theprogram coordinator’s lack of acknowledgement of the hypocritically stacked playing field (i.e.women are powerful! but actually be a guy). She continues this deconstruction of the idea ofstereotypically feminine team roles further, pointing out the hypocrisy of blaming girls for doingwhat they are good at: If because you are a girl and just happen to be really good at organizing or planning or doing numbers or making nice spreadsheets, that should not be an indication that you are failing. 1st interview, (emphasis hers) If she's good at paperwork, paperwork! I mean again, no one wants to do it, yet why do people go to business school to
countries. The peer-evaluation instrument can be previewed atwww.CATME.org. Although the tools were developed to help instructors manage teams,4,5 theycan also facilitate research on students’ learning and document student outcomes related tolearning and the quality of their team experiences.6 We propose seven empirical studies tomeasure the effect sizes of the following learning experiences: teamwork training, working inteams, rating teamwork, and giving and receiving feedback.Research OverviewThe research plan illustrated by Figure 1 shows our outcomes (in rectangles), the strategies bywhich we expect to achieve them (in ovals), and the studies by which we will measure theconnections (arrows). The model is informed by prior research. To establish
engineering student project teams. Additionally, she has co-developed a framework for measuring and in- terpreting an array of team dynamics. An online assessment tool has been created based on this framework which allows teams to diagnose and improve the ”health” of their team. She is passionate about her area of research and plans to continue conducting research on factors that contribute to effective teamwork.Ms. Amanda Deacon, University of Calgary I am currently in my second year masters in Industrial Organizational Psychology at the University of Calgary under the supervision of Dr. Tom O’Neill. My area of focus is teams within organizational contexts and that results in a plethora of research conducted with engineering
tovariation in 1) delivery method, 2) collaboration, 3) feedback response, and 4) performanceconsequences. Ideally, a full factorial design of experiments would be conducted to obtain aproper analysis of the interaction effects of different combinations of learning resources. Thelogistics involved in planning, documenting, and executing the numerous combinations offactors in the same semester for our large cohort presents a logistical challenge. Future workplans to include the evaluation of new learning resources designed with the combination offactors that were not met in this study. The end goal is to determine an optimum combination oflearning resources to provide the ideal educational experience for the collective group ofstudents.MethodsFor this
corresponding allowable stresses.Separate lectures were presented on materials selection. The students were made aware of thefact that a designer had to choose the material best suited for the specific situation from a vastmenu of materials. The material selection decision could be effectively performed usingAshby’s book [3] and elements from the Cambridge Engineering Selector [4]. The software CESEduPack[4] was not used, but was planned to be used the next offering of the course. To establishthe rational way of material selection, the concept of the material indices as discussed in Ashby’s Page 26.265.4text [3] was briefly mentioned. These indices
, including the NSF grant principalinvestigator (PI) and co-PI. The aforementioned data shows that 65.6% of students fromtechnology programs took the survey. Even though demographics and baseline data left no doubtthat the communities served are disadvantaged, come from low-income families in WestVirginia, and require financial assistance, more insight is needed to determine a proposed, well-rounded plan to increase retention using the prospective grant.Data CollectionTo obtain objective information for the grant-writing process, fifteen survey questions werecreated. All survey questions were closed-ended, and were either multiple-choice or scaled.Students were surveyed during the same week by the instructors of pre-selected courses in orderto avoid
one-semester capstone class. These half-courses allow students to exploreembedded system interfacing or higher-level embedded concepts while planning andinvestigating ideas for their capstone project.Our objective in this presentation is to give other educators working with courses in EmbeddedComputing a description of our laboratory experiments that have been shown to provide studentswith a contextual basis for the relevance of the in-lab experience1. We will describe theseexperiments in a high level way and show how they build on earlier BYOE presentation materialfrom the University of Virginia. In showing how we structured these experimental courses, alongwith the actual experiments, we provide insight on how individual institutions may
Curriculum – Year 4Overview and ObjectivesWe report on the progress of the fourth year of a CCLI Type 2 project. The goal of this project isto create a community of learning within the discipline of chemical engineering (ChE) focusedon concept-based instruction. The project plan is to develop and promote the use of a cyber-enabled infrastructure for conceptual questions, the AIChE Concept Warehouse, whichultimately could be used throughout the core ChE curriculum (Material and Energy Balances,Thermodynamics, Transport Phenomena, Kinetics and Reactor Design, and Materials Science).Conceptual questions, both as Concept Inventories and ConcepTests, are available through aninteractive website maintained through the Education Division of the American
-stakes meeting may have reducedsocial loafing and contributed overall to students’ verbal participation.I. IntroductionIn the workplace and the academy, professional engineers, researchers, and students typicallyfunction in teams. Even if individual team members have diverse technical backgrounds andexpertise, the effectiveness of their work together depends on more than engineering ‘chops’. Inorder to negotiate, plan, motivate, and integrate tasks at the team and even department level,engineers must practice and become skilled at interpersonal tasks like “communication,collaboration, networking, feedback provision and reception, teamwork, lifelong learning, andcultural understanding”1. As a collective rather than individual endeavor, the
industry mentorship planning used to increase enrollments of woman and minorities with declared majors in the areas of Computer Sci- ence (CS), Engineering (E), Mathematics (M), and Science (S). Currently, Dr. Kappers is the Program Chair/Assistant Professor of the M.S. in Information Security & Assurance (MISA) within Embry-Riddle Aeronautical University’s (ERAU) College of Business, Worldwide Campus, and teaches within the Col- lege of Engineering for the Daytona Beach Campus of ERAU. Teaching responsibilities include: RSCH 202 – Introduction to Research, CS120 – Introduction to Computing in Aviation, and MISA Program Curriculum as needed. Both positions allow her to stay focused upon real-life educational and
electronic content. We also encounter difficulty with insufficientenrollment of students from a specific major or skill to make an interdisciplinary design team.Several case studies illustrate our lessons learned, and plans to do more and bettermultidisciplinary senior capstone design projects for the future.IntroductionMixing students from different departments in the College of Engineering, and from differentcolleges such as Business and Law, into senior capstone design teams, has been a practice forsome years [1,2]. Many engineering educators have employed combining students fromEngineering and other academics disciplines in senior capstone design courses [3-6]. Someeducators believe engineering schools should not be divided into disciplines and
represent the sources of stated student outcomes. The revised course selection(except for one) represents students in the last two years in the curriculum. The associated data collection plan for each outcome, as shown below in Table 3 below, is to have at least one course in the engineering common core to ensure that all students regardless of their area of concentration, electrical engineering or mechanical engineering, are in the sample. The courses being listed below are to (1) illustrate the selection process in order to achieve the desired distribution of curriculum to be assessed, and (2)demonstrate the inclusivity of desired student population in the measurements
decrease in score (lab #2 tolab #3) and then minimal increase for the final lab assignment (lab #3 to lab #4). Whentransitioning from lab #2 to lab #3, students were required to write all sections of the lab, whichmay detract effort from other sections of the lab leading to the decrease in score. The minimalincrease we see in score from lab #3 to lab #4 may indicate growth in all sections. In the future, we plan to continue evaluating writing samples in our database, approximately120 so far, while adding more writing samples to the database from other courses utilizing thesame template. Once all samples are graded, we will be able to assess graduate student writingskills and undergraduate writing skills. Additionally, within our graduate
videoFigure 12: 3 Ask a questionFigure 13: 4 Write fileLessons Learned and Conclusions • Find the right balance of the output volume for the display. The users need to be able to hear the video, but the level should be respectful of nearby labs/offices. For this particular display, it is located amongst many research labs and so it was not too sound sensitive. Still, the sound was frequently adjusted by others through the TV volume controls. • Find a way to disable auto-updates on the host computer, instead make a plan to manually update software as needed. The auto-updates on this computer required the user to approve the update. As such, it stalled the video display by having the pop up window on the other
of this potential program that students will be moreinformed about the engineering profession and promote interest in pursuing an engineering andtechnology career in the future.Bibliography1 Ali, R. (2015) Trinidad and Tobago: Education Reform and Societal Mobilization. Accessed January 24th, 2016from http://www.coha.org/trinidad-and-tobago-education-reform-and-societal-mobilization/#_ftn12 Kassim, H., A.Dass, and T.Best (2015). Higher Education and Statistical Review: Issues and Trends in HigherEducation, 2013. The University of the West Indies, University Office of Planning and Development. AccessedJanuary 26th, 2016 from http://www.uwi.edu/sf-docs/default-source/uopd---general/hesr2013--issues-and-trends-in-higher-education-march2015
Partner interviews, we heard them talk about their work in ways that suggest thatboth scientific and engineering habits of mind, like observing, trying out different plans todetermine which is best, weighing different tradeoffs while developing a prototype, all as part oftheir making processes. These weren’t simply mindless activities, or things that people weredoing in the same way at all times; they were tinkering, experimenting, and working out the bestmethods to develop the best products possible given the materials they had on hand.Discussion: (M)aking vs (m)akingIn this paper, we have argued that while the Making has great potential to provide pathways toscience and engineering careers for many audiences, the ways in which the Maker
agenda. Our future work includes a means to have students systematicallyreflect on their engineering assets and connect these to their developing engineering identities.As we integrate new engineering design challenges into early coursework, we plan to explore theimpact of both of these efforts on student persistence.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant No.EEC #1544233. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References1. Atman, C.J., et al., Moving from pipeline thinking to understanding pathways: Findings from the academic
improvement even thoughinteractive images was not provided.In addition to the interactive images, instructional videos have been developed so that anystudent can recreate the results shown in Figures 1 and 2, and apply the techniques to anymember and its particular loading condition. This will provide students with a betterunderstanding of the software, as engineering students need to use it frequently throughout theircourses, while encouraging them to develop these models for their own visual comprehension ofvarious concepts. Finally, these models are fantastic tools for verifying answers to homeworkproblems. The authors also plan to expand their library of members and loading conditions.Once the library of interactive images is fully developed, the
proficiency) to “10” (highlevel of proficiency) in…1. …handling laboratory equipment, measurement tools and software for experimentation. (1)2. …identifying strengths and weaknesses of engineering specific theoretical models as a predicator for real material behavior. (2)3. …planning and executing common engineering experiments. (3)4. …converting raw data from experimentation to a technical meaningful form. (4)5. …applying appropriate methods of analysis to raw data. (4)6. …designing technical components or systems on Basis of experiments results. (5)7. …recognizing whether or not experiment results or conclusions based on them “make sense”. (6)8. …improving experimentation processes on basis of
participating in the course was obtained from formal interviews at theconclusion of the course. The interviews were conducted by the adjunct professor responsible forteaching the course and the associate professor responsible for the course origination.Course feedback from the coordinators and instructors indicated that close, positive collaborationwas experienced throughout the course planning and teaching phases. Persistent efforts by theOEM professional engineer to visit the experimental lab frequently to work with studentsassigned to setup the experimental hardware enhanced course collaboration and allowed foraccurate experiments to be completed. The same engineer presented two guest lectures to theclass, further enhancing student-sponsor
: Medical Electronics in ElectricalEngineering Department. The course has 48 hours of instruction spanning over 16 weeks. This isa senior undergraduate course open to senior undergraduate students and masters students as anelective course. Prerequisite courses are Electronic Devices & Circuits, Signal Processing,Instrumentation and High School Biology (one week remedial lectures are planned to overcomethis deficiency, in case).4.1 Course DescriptionThe short introductory description provided to students is as follows:“This course provides an introduction to the emerging field of Medical Electronic i.e.application of Electronic System Designing for Medical Applications. These application rangesfrom diagnosis such as electrophysiological