socialactivities. The summer programs were culminated in a whole-day research symposium withindividual and group presentations plus poster sessions.One unique aspect of the program is the integration of the group design experience into thesummer program. Students were assigned in groups to work in design projects relevant to theirassigned research tasks. Group collaboration sessions were reserved for all REU students toshare their experiences and work on group projects. Two open-ended design projects wereimplemented: (1) Use of smart materials to develop multi-modal movement and agility in 2012,and (2) The development of a quad-rotor aircraft with indoor maneuverability in 2013. In thepaper, we will discuss lessons learned in the coordination of the group
is important since it reduces turbulence and velocity fluctuations in the flow9. The shape of the contraction is often chosen as a fifth-order polynomial in order to avoid boundary layer separation on the convex part of the contraction and growth of Görtler vortices triggered by the centrifugal force on the concave part of the same contraction. It is well known that such vortices can develop on concave surfaces such as airfoils but also in contractions for pipe flows10. The shape of the contraction, see figure 1, was chosen to be x 5 x 4 x 3 y(x) Ri (Re Ri ) 6 15 10 (1
level. The system does not measure the level of attainment of StudentOutcome for individual students. The data to measure individual performance is containedwithin the database that is used in the present system, but there are no plans to use the collectedinformation for the assessment of individual students. Page 24.118.4Systematic Approach for Accreditation Information SharingThe web portal to coordinate the Yale’s Self Study process is illustrated in Figure 1. In additionto publicizing the accreditation preparation timeline, the portal also serves as a tool to relayaccreditation training information (such as instructional handouts on aspects
ofand diversifying our energy sources, and managing the environment for sustainability; allrequiring new problem-solving skills to create the technological advances that will preserve ourwell-being, ensure our national security and maintain our leadership in the global economy 1. Solutions to 21st-century challenges will involve electronic systems intertwined withstructural, chemical, and biological systems. One example, advances in nano- and nanobio-engineering, will integrate knowledge from information, electrical, physical, cognitive and socialsciences. The solutions are thus inherently multi-disciplinary—involving one or moredisciplines with similar approaches to problem solving—and trans-disciplinary—involving twoor more disciplines
hearing (D/HoH) students presents several challenges aswell as many rewards. For D/HoH students to be mainstreamed into a regular engineeringprogram presents a series of barriers that they need to overcome. D/HoH student’s languagecharacteristics are more similar to foreign students because written and spoken English is theirsecond language and they often function similarly with respect to English discourse, semantics,and sentence interpretation (1) (2).Engineering course material generally does not consider any type of learning accessibility forD/HoH students. While the university provides resources (such as e.g. sign language interpreters,note takers, real time captioning and specialized mentoring faculty), the instructors in theclassrooms
critical thinking definitions.IntroductionAcademics value the importance of critical thinking in the development of any student.However, in their book, Academically Adrift, Richard Arum and Josipa Roksa revealed thenotion that critical thinking may not be learned by students in undergraduate programs.1 Afteremphasizing how little students gain in the four years of college, Arum and Roksa stated moregenerally that: “While [students] may be acquiring subject-specific knowledge or greater self-awareness on their journeys through college, many students are not improving their skills incritical thinking, complex reasoning, and writing.” (p. 36) Before their book created a renewedinterest in critical thinking, ABET EAC criteria and the NAE report The
multidisciplinary teams during their senior capstone courses. The design module wasintroduced in the fall 2011 semester, and was repeated in fall 2012 and fall 2013. Anassessment, conducted with current and former participants in fall 2013, demonstrates theefficacy of the project.1. INTRODUCTION.The engineering education community has embraced the concept of multidisciplinary designover the past two decades 1-3. This movement reflects a renewed emphasis on design in theengineering curriculum, particularly at the freshman (cornerstone) and senior (capstone) levels 4.The benefit of training engineers to work in multidisciplinary teams is self-evident whenconsidering the integration of mechanical design, electronics, software, human factors andergonomics, and
, they tend to discuss the history anddifferences between the Fahrenheit and Celsius scales4,5,11,22,27,30. Few textbooks includeda section discussing the physical origin of temperature as the measure of molecularenergy12,25. This type of coverage may leave students with an incomplete understandingof temperature, or even erroneous understanding as they try to apply their understandingof the gas phase to the liquid and solid phases of matter, leading to potentialmisconceptions in the phase change physics. Page 24.123.5Figure 1. Screen shot of molecular motion animation in the solid phase.In our instructional approach, temperature is explained as an
(EE) students are expected toacquire upon graduation:1- Basic Skills (SLO1) - Apply concepts of mathematics, science, and electrical engineering (a) - Identify, formulate, and solve electrical engineering problems in a structured and systematic way (e) - Apply the techniques and modern tools in electrical engineering practice (k)2- Design Skills (SLO2) - Design an electrical system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability (c) - Assess impacts of engineering solutions in global, economic, environmental, and societal context (h)3- Lab Skills (SLO3) - Design and conduct electrical
. The course begins with a laborientation and an exercise that introduces students to temperature measurement using an analogtemperature sensor,1 a serial DAQ2 and programming with Visual Basic 6 (VB6): studentsconstruct a sensor, calibrate it, and write a VB6 program that uses the DAQ to read the sensor’soutput and displays the measured temperature. Page 24.125.2After the class completes this introductory procedure, the course is run as a round-robinlaboratory, where student teams spend three two-hour class periods at a sensor station and thenrotate to another experiment. At these stations, students explore different sensors (strain gages
of the method by monitoring the progress of a class andits individuals as the semester moves on. 1. Introduction According to research, 65% percent of the population benefits more from visual learning than anyother style1. Incidentally, 90% of the information that the brain processes is visual2. Although there is alot of research to conduct regarding visualization as a tool for teaching and learning, there is a consensusin terms of the effectiveness of catering to this style of learning. Studies have shown, students withdifferent learning styles favor visualization as a means of learning a new concept 3. Considering thosefacts, the learning examples for this approach to teaching computer algorithms strives to use the
and other assessments. They also indicate some of the techniques their peers use insupervised (e.g. tests, quizzes, exams etc.) and un-supervised (e.g. homework, projects, labreports, online environment etc.) assessments. The survey also reveals whether students are morelikely to cheat in the major required courses or non-major elective courses etc. Some of thetechniques that deter students from cheating are also discussed.Literature Review:Academic misconduct has long been a problem on college campuses in the United States.Studies across the nation have consistently shown that a majority of undergraduate studentsacross various disciplines engage in some form of academic misconduct during their collegecareer [1, 2, 3, and 4].Various
paidfull-time employment and traditional full-time classroom education. Cooperative educationprograms (co-op) are work opportunities for undergraduate students organized in partnershipwith industry based organizations,1 which can also be referred to as Work-Integrated Learning(WIL).2-3 Ordinarily, academic institutions facilitate the application process and connectionbetween students and potential employers. The eligibility requirements are institution-specificand can vary by discipline or at the discretion of the co-op employer; however, many universitiescommonly require a minimum grade point average (GPA) for co-op participation. Since co-opprograms have minimum GPA and other eligibility requirements, it is critical to identify howrequirements
Page 24.130.2Task Committee on Accreditation Policies and Procedures from 2009 to 2012; to assess itseffectiveness in fulfilling its charge during this period; and to offer recommendations to ASCE’snew educational and accreditation committees for next steps and future directions. Thus, thispaper is intended to “pass the torch” to the civil engineering professionals who will beaddressing accreditation-related issues related to ASCE’s “Raise the Bar” initiative in the future.ABET Organizational Structure and Governing DocumentsASCE’s strategic engagement with ABET can only be understood in the context of the ABETorganizational structure, as defined in its key governing documents. This structure is summarizedin Figure 1
anElectrical and Computer Engineering curriculum. A long standing debate is on how to getstudents more interested in circuit theory and simultaneously comprehend and apply thebasic concepts [1][2]. Project-based learning has been shown to increase student interest,basic design skills [3] and comprehension of the concepts in basic engineering andmathematics through vertical integration [4][5]. Vertical integration is the principle ofhaving a project or experiment in a course build upon concepts gained throughexperiments and/or projects performed in a parallel or previous course. Students willrealize that the courses are part of a flow that contributes to a unified knowledge base.This paper describes a project on active circuits that is performed at
FE learning modules in six engineering areas: (1) structural analysis, (2)mechanical vibrations, (3) computational fluid dynamics, (4) heat transfer, (5) electromagnetics,and (6) biometrics. To evaluate these "Proof of Concept" modules, they were integrated intoexisting courses in the corresponding subject areas. Faculty and students initially assessed theireffectiveness at three higher educational institutions. We included student demographic data,learning style preference data and MBTI data in the surveys' conducted on these initial twelvelearning modules, but found that the sample size was in most instances too small to develop anystatistically meaningful analysis.In the second Phase 2 work we expanded our FE learning modules to an
contemporaryideologies, a material agnostic approach, computational materials science and engineering, andprepare students to work on interdisciplinary teams. With the above stated goals, a sophomoreyear course was redesigned and renamed from “Introduction to Materials Science” to “MaterialsProperties and Design”. The instructor chose to both add additional content and use pedagogies toaddress each of the goals of the newly redesign curriculum. Contemporary ideologies were broughtinto the classroom by adding content at the end of each section to discussion how the topics pre-sented in class were applicable to existing and new real-world applications. A materials agnosticapproach was implemented by utilizing the integrated version of the Callister textbook.1
more active role in their own learning [1]. However, there existdiverse interpretations and discussions around the idea of what active learning means as well asthe types of teaching and learning approaches that have been utilized by engineering facultyaimed at including active learning in their course delivery. In a comparative literature review [2],it was discovered that there are significant differences in what has been understood and appliedin science classrooms as active learning. Consequently, Chi [2] developed a framework oflearning activities aimed at highlighting the different types of learning activities that are and canbe included in classrooms for maximized results. Building on the work of Chi [2], this paper seeksto explore the
Engineering Education, 2014 Adapting the VALUE Rubrics to ABET ETAC Outcomes a-kIntroductionThis paper presents suggestions of which VALUE metarubrics commissioned by the AmericanAssociation of Colleges & Universities can be of use to assess student outcomes for engineeringtechnology programs. Although many instructors use rubrics for grading, this paper presentsrubrics which can be used for program assessment. Rubrics are an effective way to measurestudents’ abilities. According to Spurlin, “Rubrics are sets of criteria or scoring guides thatdefine what is expected of students.”1The VALUE rubrics use the format shown in Figure 1. Criteria are listed down the left column,achievement levels listed across the top, and performance
Paper ID #9008Adding Flexibility and Hands-On Experiences while Minimizing SequentialGaps in the ME CurriculumDr. Matt Gordon P.E., University of Denver Dr. Matt Gordon is Professor and Chair of the Department of Mechanical & Materials Engineering at the University of Denver. His research areas include numerical and experimental plasma physics, chem- ical and physical vapor deposition, electronic packaging, and bio-medical engineering. He has over 100 publications including 1 book chapter. Courses taught include undergraduate finite elements, thermody- namics, fluid dynamics, heat transfer, and engineering
based on a pending 2010 ABET cycle. The concern wasthree-pronged: the first two prongs were generally internal considerations, while the third prongwas external to the Department. 1. Could the Department fully implement the BOK2 in the available time frame, with sufficient thoroughness to improve the curriculum? Under normal circumstances, engineering faculty have a multitude of responsibilities with respect to their courses, research and university service. Adding the adoption of BOK2, which almost doubles the number of program outcomes previously reviewed, seemed a daunting task. 2. Could the Department implement the BOK2 with sufficient understanding and thoroughness to satisfy ABET criteria? Even in perfect
followed to develop the statistical model for final building settlementprediction. Step 1: Data collection. Building settlement data was collected from multiple job sites in China. This study focused on the settlement prediction of high-rise buildings and therefore 33 high-rise building construction projects in China were investigated. Documentation studies and job site survey were performed to get necessary information. Prior to any statistical analysis, the collected data was also processed initially to deal with the missing values. Step 2: Statistical modeling. Two requirements were considered in the development of this model: 1) Accuracy: it should be accurate enough for prediction and 2
the SEI, and how the program has succeeded in promoting interest inengineering among program participants, increasing their self-efficacy in studying engineering,and enhancing success among those who have decided to pursue an engineering degree.1. IntroductionDespite increasingly urgent calls for investment in science and technology education to meetcurrent and future demands for more engineers needed to retain economic competitiveness andinnovation capacity of the United States, trends in engineering enrollment show that, over thelast decade, undergraduate degrees awarded in the fields of engineering have declined from 6.3to 5.4 percent of the total degrees conferred.1 An important strategy for increasing the number offuture engineers is to
, afinal exam was created and graded by a faculty member who was not teaching the course. Theface-to-face class covered the traditional EE098 SJSU curriculum (shown in the smaller whitecircle) while the blended class covered the MIT curriculum (shown in white and gray circles)which included nonlinear devices, diodes, MOSFET transistors, both large and small signalanalysis, digital gates and signal integrity as shown in Figure 1.The passage rate was 93% between the students that participated in on cloud and in classactivities and took the finals. Six students out of 80 students withdrew or did not participate inclass or on cloud activities. Binary Signal
Paper ID #9510Developing Cognitive Innovation Skills through a Problem Solving Approachin Science and Technology to Develop Solution EntrepreneursDr. James L. Barnes, James Madison University Dr. Barnes oversees all proposal development and research design. He coordinates all needs assess- ment and benchmarking studies. He leads BTILLC’s Readiness and Emergency Management activities. He is certified in National Incident Management Systems (NIMS) and Incident Command System (ICS) courses, Crime Prevention through Environmental Design (CPTED), Crisis Management and is very fa- miliar with NIMS standards and protocol: (1
systems, amobile robot, and a flexible robot manipulator. Finally, it discusses the structure of a remotelaboratory portal along with some of its operational details.1. IntroductionSmart devices are growing exponentially, and our everyday life has changed dramatically withthe advent of the Internet and networking technologies. Related to these technologies, oneemerging entity is the IoT (Internet of Things). This is a developing concept of making an opennetwork of devices equipped with sensors and RFIDs (radio frequency identification) aimed atinterconnecting all things electronic to make them more intelligent and programmable.According to Cisco, a leader in IoT and supported by IEEE, about 20 billion machines anddevices could be linked by
becoming increasingly complex across all its branches - from thetraditional civil engineering to the modern computer, space, and genetic engineering. Thecomplexity has increased even more due to a growing interdependence among disciplines andthe emergence of a wide range of new technologies.To manage this situation, engineers whocan keep pace with new technologies and think laterally when developing new applications,and engineers who are creative and capable of abstract thinking are required. It has beenobserved that recent engineering graduates are lacking in these competencies; and thetraditional and still dominant engineering curriculum at most universities, especially indeveloping countries, makes little provision for developing them 1-3
in Fig. 1. The circuit thatthe students are intending to test, called a device-under-test (DUT – A in Fig. 1), is inserted into atest board, called the device-interface-board (DIB – B in Fig. 1). Depending on the lab, the DUTwill be a comparator, a DAC, or an ADC. The DIB contains circuits that will allow the DUT to beplaced into different configurations for different specification tests (e.g. input bias current, offsetvoltage, linearity, propagation delay, etc.). The DIB circuits may be as simple as load structures(output resistors and/or capacitors) or input resistors to gain up input current measurements, or ascomplicated as negative feedback servo-loops to force the device into a known state. Relays areactivated to change the DIB
Academy Chris Lehmann is the founding principal of the Science Leadership Academy, a progressive science and technology high school in Philadelphia, PA. The Science Leadership Academy is an inquiry-driven, project-based, 1:1 laptop school that is considered to be one of the pioneers of the School 2.0 movement nationally and internationally. The school was recognized by Ladies Home Journal as one of the Ten Most Amazing Schools in the US, has been recognized as an Apple Distinguished School from 2009 through 2013 and has been written about in many publications including Edutopia Magazine, EdWeek and the Philadelphia Inquirer. In September 2013, Chris opened Science Leadership Academy @ Beeber cam- pus, the second
to remindmyself that they are not clients but my team members. As a team member, I had the rightto assert my needs in the design” [Student 1, Final Report 2012]. Leaving this uncheckedproves detrimental to the creative process undermining the possibilities of building longlasting, culturally appropriate, effective solutions.The GEE process closely resembles the [University Name] design process with thefollowing steps: 1. Needfinding 2. Benchmarking 3. Ideation/Brainstorming 4. Rapid/Rough Prototyping 5. Material Selection 6. Analysis/Dimensioning 7. Manufacturing 8. User TestingWhat differentiates it is that before commencing the designing itself, the GEE teammembers reflect on and articulate what each of them