Blackboard quiz, and potentially an assignment. Uponcompletion of each of the Blackboard modules, each student’s grades for the program contributeto the final grades in the associated discipline courses, thus providing the students with therequired motivation to complete the employment search skill development program. Studentsurveys and focus groups were completed to assess the employment search skill developmentprogram and to determine suggestions for improvement.1.0 IntroductionA myriad of books [e.g., 1-3] exist that instruct students on how to develop the required skills tobe successful when searching for a job, skills such as employment search strategies, networking,resume construction, interviewing, career fair preparation, cover letters
classroom setting.Introduction The effectiveness of using simulation-based learning strategy for procedural knowledgeor skills has been reported by many researchers [1]–[3]. Such an approach can “replace andamplify real experiences” through proper guidance to “evoke or replicate substantial aspects ofthe real world” [4]. Simulated environments that can provide the high fidelity immersiveexperience, such as CAVE [5]–[7] or other forms of visualization representation can help thelearners create the necessary cognitive connection [3], [10] between the physical world and thecomputer-generated instance. With the technological advancement in visual computing, simulation-based learningthrough technology such as virtual reality (VR) that
frequency bands (MF, LF and VLF) 1 where wavepropagation is mostly the result of diffraction around the earth’s surface and/or the surface wavebeing guided by a conductive earth in the same way of what would occur on a transmission line.This is referred to as ground wave or is sometimes called the “Norton surface wave.” [1,2] and isillustrated in Figure 1. Because of the earth’s limited conductivity, it takes a relatively large amountof power to overcome ground losses (in addition to spherical dispersion losses) and these groundlosses increase as the frequency is increased. Hence, this is why practical ground wavecommunication is limited to the MF and below bands (i.e. below 3 MHz). Another means of radiopropagation is tropospheric bending where
differentlevels of cost and achieve different levels of infrastructure integrity (II) for redeveloping thelocal electric infrastructure. A conceptual framework has been developed, together with metricsand computational methods for assessing infrastructure integrity [1-4]. II is the ability of aninfrastructure system to exhibit reliability, flexibility, resilience, and adaptability. Although II isuseful for application to any infrastructure system, it is particularly applicable to electricsystems, and it provides a foundation on which to build in considering the future development ofelectric grids. For each vision, strengths and weaknesses, and in so doing, we intend to providestrong rationale regarding the best path forward for re-developing the local
Transportation Company, SystemsControl, and M.J. Electric) has donated a 2500-kVA, three-phase, General Electric, 32.8-kV –2,400-V, grounded wye to delta, type OA-T transformer; a 333-kVA, single-phase, McGraw-Ed-ison, 34.4kV – 277-V, type OA transformer; five voltage regulators, and several current and po-tential transformers. With test equipment obtained from a grant from the Department of Energy(DoE) and other equipment donated by local industry, the students perform insulation resistance,transformer turns ratio, oil breakdown, and power factor (or dissipation factor) testing on thesetransformers. These tests are in addition to the standard laboratory tests on small transformers:1) determining the polarity and turns-ratio, 2) finding equivalent
Paper ID #26697Tensions in Applying a Design-Thinking Approach to Address Barriers to In-creasing Diversity and Inclusion in a Large, Legacy Engineering ProgramSean Eddington, Purdue University, West Lafayette Sean Eddington (Ph.D., Purdue University) will be an assistant professor of Communication Studies at Kansas State University beginning Fall 2019. Sean’s primary research interests exist at the intersec- tions of organizational communication, new media, gender, and organizing. Within engineering contexts, Sean has examined career issues within the engineering discipline regarding (1) new faculty experiences
manystudent failures within each assignment.There is a variety of pedagogical methods employed in these courses, and the creation of“correct” models and drafts can be have multiple correct procedures [1], [2]. Yet, there arefundamental concepts in visualization and definitions of views that should always be taught inthe beginning of CAD instruction. For example, in learning about two-dimensional sketching, astudent should understand how the application presents its 3-D space, origin, and coordinatesystems.Further, mobile computing platforms are dominating the higher learning institution market, atleast in the U.S, with price-points decreasing and sufficient hardware becoming ubiquitousacross the top vendors. This lends to the ability for each student
implementing the resulting design inCAD software. Namely, ideation, modeling strategies, and problem solving learning moduleswere included in the course. To determine the efficacy of this approach, the following researchquestions were posed: 1) is it feasible to use individual whiteboards to teach freehand sketchingin a large undergraduate CAD course? 2) do students and instructors find this approachacceptable? 3) do students find that the use of whiteboards during class improves their ability tosketch? The acceptability and effectiveness of the approach was tested using pre- and post-student surveys. Additionally, performance on exam questions related to modeling strategies wasanalyzed across students over time to determine whether the whiteboarding
approach to academic education in order to preservethe level of competences and skills of the graduates. The students have to be exposed early onto exciting problems, challenging duties and responsibilities. Less available time for reflectingnewly acquired knowledge has to be compensated by interweaving the different fields ofknowledge. A particularly suitable way of doing so is the establishment of interdisciplinaryproject work already in early semesters, since there seems to be no better way of acquiringcomprehension than if it arises from personal experience [1].For this purpose, we have established a coherent procedure at Joanneum University ofApplied Sciences, Institute of Automotive Engineering, which familiarizes students in achallenging
extracurricular learning opportunities and hands-on supplements to traditional courseinstruction. The following paper describes the integration of a Formula SAE (FSAE) teamproject into a junior-level mechanical engineering experimentation course; it represents one ofnine projects in this course.The first half of the course is divided into modules that, for all students, progressively address: 1)the measurement chain and laboratory best practices using pre-existing experiments, 2) sensordesign, selection, and calibration, 3) statistical data analysis and uncertainty limits, and 4)technical communication skills. The second half tasks student teams to propose, design, build,and carry out an original experiment to an engineering problem they perceive can
Mindstorms shouldnot be surprising, given its popularity among engineering educators and teachers. As Eguchi [1]explains, the kit has been around in one iteration or another for two decades, allowing it time tobecome one of the most marketed and accessible tools for educational robotics. Despite itspopularity, there has been little empirical work on Mindstorms as a cultural artifact. Given itspopularity, what is the cultural significance of Mindstorms in education? And, how does thisshape its meanings and uses in the classroom?To give partial answers to these questions, this paper uses ethnographic data from three NewYork State public elementary schools to analyze the technocultural forms and uses ofMindstorms. The concept of technoculture is meant
cyber threats, andinfrastructure disasters. There is a calling from articles, reports, and an accreditations [1]–[8] thatthere is a need for public policy to be integrated in science, technology, engineering, andmathematics (STEM) education as students need to master the technical competencies, but bemindful that one’s work could provide benefits and harm. More importantly, students of STEMfields, who one day will become the next generation of scientists, technologists, engineers, andmathematicians are important actors in the area of policy as they will fill the holes of STEMexpertise that policymakers lack, assist in the development of policy, and advocate variouscauses [9], [10].In Fall 2019, Chaminade University of Honolulu will be launching
Tan1 Stephen Kozakoff1 kokcheng@mail.usf.edu kozakoff@mail.usf.edu 1 University of South Florida, Computer Science and Engineering, 4202 E. Fowler Avenue Tampa, FL, 33620, USA 2 Institute for Simulation & Training EECS, University of Central Florida 4000 Central Florida Blvd Orlando, Florida, 32816, USAAbstractOur goal is to investigate whether techniques to automatically generate practice problems
instructor for several undergraduate-level courses, and he has conducted educational research on the effect of various learning techniques on improving students’ self-efficacy and overall learning experience. c American Society for Engineering Education, 2019 Programming Without Computer: Revisiting a Traditional Method to Improve Students’ Learning Experience in Computer ProgrammingIntroductionDuring the past three decades, computer programming has been recognized as an essential skilland a necessary element in education. Previous studies have reported numerous cognitiveoutcomes from learning to program [1]. Feurzeig et al. [2] presented an extensive list of cognitivebenefits of learning computer
Engineering program was conducted.II. IntroductionIn the early 2000’s, forecasters believed the United States was on the verge of a nuclearrenaissance. Tremendous growth in the energy industry was expected at that time since theaverage age of the nuclear power sector was 48 years of age which ranked among the oldest inany US industry 1. Many colleges and universities geared up new programs with help fromfederal agencies such as the Nuclear Regulatory Commission (NRC) and the Department ofEnergy (DOE). Over 40 college programs across the country were developed to create a pipelineto help fill the shortage of workers 2. The majority of the programs were two-year Associatedegree programs designed for entry level positions in nuclear fields. At that
Course María Raquel Landa Cavazos Yolanda Martínez Treviño Computer Science Department Computer Science Department Tecnologico de Monterrey, Tecnologico de Monterrey, Campus Monterrey. Campus Monterrey. Monterrey, México Monterrey, México rlanda@tec.mx yolanda.mar.tre@tec.mxAbstractThis paper presents the results of integrating the use of an auto-grader tool in a ComputerScience 1 course to personalize the learning process of students by allowing them to advance attheir own pace when solving problems in class sessions
-varying inductionremain vague to inexperienced students without visual illustrations [1] and tangible examples ofthe role they play in modern technology. Students at this stage need and expect to be motivatedby a more active and applied approach to EMAG than has been traditionally offered [2]-[4]. Atypical EMAG text emphasizes the mathematical theory of Maxwell’s equations for solvingproblems [5], [6]. While the mathematical approach excels in expressing relationships of EMAGconcisely, and lends tools for effective problem solving, treating the subject solely in this waycan leave the practical application context of problems unclear to students. Showing graphicimages and videos at the beginning of a class period helps students see the “bigger
match the tooling available. In all, theproject was a difficult, but rewarding experience for everyone involved.IntroductionExperiential learning theory defines learning as "the process whereby knowledge is createdthrough the transformation of experience. Knowledge is a result of a combination of graspingand transforming experience” [1]. Experience created by overcoming the challenge to perform anenergy conversion of a prime mover is regarded as a convergence approach. The convergingstyle dominates learning areas of abstract conceptualization and active experimentation.Individuals with such learning preferences work best with technical tasks and problem solving.This learning style is best suited for people who enjoy experiments, simulations
readings and homeworks. Coral has been used byabout 2600 students at 21 universities.1. Introduction: Why a new language?Industry coding languages like Python, Java, and C++ were designed mostly for professionals,not learners. Python is often considered the simplest to learn, but as one long-time instructor putit, “even Python has its ‘Gotchas'”, which is supported by some research where evidence wasfound that students struggle with Python as much as with C++ [1][2][3]. For example, somePython syntax is non-intuitive to learners, like reading integers. Another example is that the lackof static typing in Python can yield hard-to-debug type-related errors. We consideredsubsetting/redefining Python for learners, but knew the needed departures could
concept of buckling to civil engineering students.Introduction One of the most critical modes of failure in columns is buckling. When a long column issubjected to compressive force, the member might deflect perpendicular to the direction of theforce. Excessive deflection due to axial force might result to failure of the column. This mode offailure is known as buckling. When a member fails due to buckling, although the member isunder compressive force, but the failure is not due to lack of compressive strength of thematerial. Mainly, columns are designed for the buckling capacity. Figure 1 presents a concretecolumn experiencing buckling under compressive force. Figure 1: Buckling failure of a member under compression force [1
concepts throughout theircollege career. Indeed, as their studies delve deeper into upper division courses, matters evolvefrom conceptually straightforward (i.e., statics) to more sophisticated (deformable) andpotentially abstract (thermodynamics). Challenges can arise correcting mistaken preconceptions,and linking perceptually-abstract mathematical formulas to real-world examples. Indeed, studies[1], [2] show that students value real life applications of the material covered, and that suchapplications contribute to a deep conceptual knowledge.Western Kentucky University offers programs in civil, electrical and mechanical engineering,presented with a focus on project-based learning. The institution further maintain activerelationships with the
Interactive Internal Combustion Engine Lab ProjectIntroductionLaboratory courses are an important part of undergraduate engineering programs. They arespecified in ABET’s list of student outcomes, they provide concrete experiences to reinforcelessons taught in lecture classes, and they give students some of the relatively few hands-onexperiences available in traditional engineering programs. However, while specific problemshave been difficult to identify, laboratory courses have for many years been a source ofdiscomfort and concern among engineering faculty. In 1983, Ernst outlined problems of focusand staffing that we still confront today [1]; Edward’s survey makes it clear that these concernshad not gone away by 2002 [2], as
statisticallysignificant level. TAs are effective at providing informative feedback that provides direction forimproving the model, but it is a time consuming process. At this time, the software is not able tooffer substantial and specific feedback to the students on how to improve, and it is recommendedto use the computational grading tools in conjunction with human graders. Using the software toprioritize which files need TA feedback, those with similarity scores below a threshold value,may lead to a more efficient and effective use of resources to provide a quality feedback loop.Introduction and MotivationAt Clemson University, the introductory engineering graphics course, ENGR 2080, usesSOLIDWORKS [1] to teach 3D modeling of parts and assemblies. To help the
sample size.IntroductionFrom ABET criteria to the DBER report from the National Academy of Sciences, ourcommunity acknowledges the importance of skills beyond content knowledge, yet very littleresearch has been done to define and assess these skills [1] [2]. The goal of our cross-disciplinarycollaboration is to identify important problem-solving skills across science, engineering, andmedicine and to create assessments that measure these skills within the context of a given field.This paper discusses a particular assessment developed for optical engineering, called opticsblack box, which is designed to test a number of problem-solving decisions. Students worked onthis assessment during think-aloud interviews, which allowed us to hear their
anode side while oxygen flows through the cathode side as shown in Fig.1. Thehydrogen molecules split into electrons and protons (positive hydrogen ions). The electrons flowthrough the external circuit, while the protons flow through the membrane to the cathode to reactwith oxygen ions and electrons, producing electricity and H2O as a by-product. Fig. 1. PEMFC Diagram.When it comes to unmanned aerial vehicles (UAVs) as an industrial application, PEMFCs cansupport much longer flight endurance than internal combustion engine and battery do. In 2006,it was reported that a 2.5 kg UAV powered by an 85 W average, Protonex Technology 110Wpeak PEM fuel cell flew for up to 3h 19min11. Later, Lyon et al. demonstrated
from the Departments of Technology,Economics, Physics, Business, and others. The Renewable Energy Program operates on five goals that align with the strategic goalsof the college and university. The five goals of the Renewable Energy program are: 1. Provide students with high quality educational experiences by featuring a modern, up-to- date curriculum that will develop the technical and managerial knowledge, skills, and attitudes that are foundational to success as RE professionals. 2. Recruit and graduate a diverse group of individuals to support companies and organizations that will employ RE professionals in the state and throughout the United States. 3. Provide opportunities for students to interface with
flexureload frame that ensures that only the thrust from the engine is measured. The test stand wasdesigned and built by a graduate student so that the students in the introduction to engineeringcourse can conduct their own experiments using model rocket engines of various sizes. Fromobtained time-thrust curves, the students were successful in using three different techniques(adding trapezoid areas using Excel, manually counting the number of squares under the thrustcurve and using a MATLAB program) to calculate the impulse. A students’ attitude survey showedthat the students were highly satisfied with this hands-on experience in rocket science andintegration.IntroductionExperiential learning is a well-documented [1-3] and a well recognized part of
Design (CAD), Professional Certification, Industry Value,SOLIDWORKS, Professional DevelopmentIntroductionComputer-aided design (CAD) software lies at the heart of the engineering design process. CADsoftware has myriad uses and spans a variety of industrial sectors. Since its inception CADsoftware has continuously evolved to meet the needs of its users and their applications. PatrickHanratty, credited as the father of CAD and computer-aided manufacturing (CAM), developedProgram for Numerical Tooling Operations (PRONTO) and automated drafting and machining(ADAM), two significant contributions to the idea and utilization of CAD [1]. PRONTO wasdeveloped in 1957 and is one of the first computer-numerical control (CNC) programs [1, 2]. Mr.Hanratty
engineering students.The class covers introductory topics in quantum mechanics leading to a basic understanding ofthe behavior of charge carriers in solids. A description of the course and the students will bepresented later in the paper. Students are introduced to entanglement and quantum computationwith computer simulations of quantum measurements. We believe that a brief introduction tothese topics helps students understand the relationship between operators and the results of ameasurement of the wavefunction.Over the past several years we have assessed students in the course with the Quantum MechanicsConceptual Survey (QMCS).[1] This instrument was designed to be used as a general survey ofstudents’ conceptual understanding. One of the
material response under electric field and permeability is the material responseunder magnetic field. Under the influence of external electric field, there occurs a polarization ofelectric charges in atomic level which give rise to permittivity. Under the influence of externalmagnetic field, there occurs a polarization of magnetic dipoles moments (in magnetic material)in atomic level which give rise to permeability. When tiny particles of particular shape, made ofmetal or dielectric material, are arranged in a regular fashion, is called artificial material. Infigure 1, an artificial material, composed of metallic wires or circular metal patches or metalspheres, is shown.Figure 1. Artificial material composed of (a) 1-D metal wires, (b) 2-D