be a superior tool that bridges the gap between theory andpractice in engineering education.” Additionally, the goal of lifelong learning is part of “CriteriaFor Accrediting Engineering Programs” ABET Student Outcomes Criterion 3i.3, Strife, et al4incorporated the ACRL/STS standards1 with the ABET Criteria into Oakleaf’s table5. A newtable was created and appears as Appendix A. Table 1 is included to show what the outcomeswere for these freshmen. Quigley6 describes the differences between lecture and active learningformats in the engineering classroom. He found that the more interactive classes were moreinteresting for the students. He also warned about introducing too much content. Holmes7describes an interactive model for a library
of developing signal processing applications on the DSP board. A variety of research works on the education of the Digital signal processing have proven that the introduction of the DSP board into the education not only helped the students understand the abstract and complex DSP concepts and algorithms, but also brought the sufficient practical skills in real-time implementation of DSP algorithms[1]-[5]. That is why the digital signal processors were introduced into our DSP educations. As many other universities, the current course laboratories covered the very basic digital signal processing problems such as FIR/IIR (Finite Impulse Response/ Infinite Impulse Response) filters design, Fast Fourier Transforms
campus for face-to-face instruction.BackgroundIn the fall of 2008 University of Wisconsin – Platteville (UW-Platteville), located insouthwestern Wisconsin, began offering their undergraduate electrical engineering (EE) programto place-bound students throughout the state. This was accomplished in collaboration with theUW system’s network of thirteen two-year universities. The map in Figure 1 shows thedistribution of the collaborating campuses. This program has been designed so that students cancomplete the entire four-year engineering degree locally without having to travel to the UW-Platteville campus. Students complete their prerequisite coursework at their local two-yearuniversity and work toward the completion of their Associate’s Degree
more, while coming reasonably close to their desired Q . In their second design( f o = 7.23 kHz and Q = 2) , students typically come very close to meeting the desired resonantfrequency and Q specifications on the first try. This creates a teachable moment as studentsreflect on their failure in design #1, and their success in meeting specifications in design #2.First our students calculate a parameter we call “ G ”, which is the gain-bandwidth product of theop-amp relative to the desired resonant frequency. Using this calculated value G , they employgraphical techniques early in the design process to predict how much the closed-loop transferfunction pole locations will shift from the desired locations because of a finite value for G
model, including problems that undermine the aims of organizers or authors, thus limitingefficacy of efforts to communicate with the public. Therefore, the aim of this paper is three-fold:1) to introduce the deficit model to an engineering education audience, 2) to identify leadingcritiques that engineering educators and students should be aware of, and 3) to present aframework that can be used by engineering educators and taught to future practicing engineers tothink through important dimensions of communication.The paper begins with an introduction to the deficit model. We explain the concept, identify itsmajor limitations, and briefly discuss alternative communication models. Following that is adiscussion of three dimensions of science and
Page 1 of 8affirmative action programs. The developers have learned that market forces, aswell as competition from other universities and the private sector are real issuesthat impact the success of faculty recruitment efforts. Salaries are not competitiveat East Tennessee State University (ETSU) for the same skills and talent within theSouthern Regional Educational Board institutions, as documented in the TennesseeHigher Education Commission Peer Faculty Salary Comparison reports. What hasalso been learned is that the organizational climate can be less than desirable forall faculty members when disproportionate burdens of service and lack of supportfor research initiatives exist. The climate issues are exacerbated for minorityfaculty which
the implementation of this robotics project and uses student surveysand course evaluations to assess its effectiveness. Additionally, assessments of common multi-disciplinary course problems of class size and student level disparity are also performed. I. Introduction:One of the most challenging tasks in engineering education is teaching courses to students thatare outside their major area. Majors other than electrical and computer engineering (ECE) arenot typically motivated about circuit theory and many educators have tried to address thischallenge.1, 2 With this lack of motivation in mind, the College of Engineering (CoE) at theUniversity of Oklahoma (OU) developed a unique curriculum for teaching circuits and
issue tool to manage their projects. On the otherhand, various user statistics obtained from the system allowed the faculty advisors to monitor thefrequency of each student's contributions and to quickly review the content and quality. Thesystem made a significant impact on the outcome of the project results. This paper will presentissues in deploying the tools, the best practices for using these tools, and assessing students’performance in capstone design courses.1. IntroductionTo become successful engineers, students must learn technical knowledge, good communication,skills, and teamwork skills. Traditional lecture-based coursework focuses on providing a solidtheoretical foundation and analytical skills for each of the various disciplines. On
included the learning styles surveys in his engineering classes as one of the self-discovery tools that may help students in understanding their strengths and weaknesses. A surveybased on the VAK style used consistently in the 2nd year class yielded the results shown in Fig. 1and Table 1, which summarized self-reported learning styles identified by students. V A K V 0.27 0.09 0.19 A 0.07 0.07 K 0.31Table 1 Distribution of Self-Reported Learning Figure 1: Distribution of Self-ReportedStyles in an Engineering Class [%] Learning Styles in an Engineering ClassThe presented results are consistent with
then ranked in order from most to least points and receive points towards their overallcircuit score according to their ranked position. For example, Smith Elementary Team 1 has thehighest score in the elementary division. That team is awarded 1,000 points. Jones ElementarySchool Team 3 has the second highest score in the elementary division and is awarded 990points. This point allotment continues for all the teams in that division and is replicated for theteams in the middle school and high school divisions. The points earned by each teamthroughout the four competitions accrue. The team with the most points in each division at theend of competition 4 is named the grand champion of that division. Grand champions earn atechnology award for
, which also allowed for alternative themes and subthemes to emerge. Toensure validity, we employed a peer debriefing process, where at least two project team membersanalyzed significant portions of the data for agreement.FindingsThe preliminary data analysis yielded three assertions, all of which are presented belowillustrated by quotes from the interviews.Assertion 1) Academic advisors were largely unable to articulate a coherent definition of SES.As Lareau and Conley16 note, terms like, low-SES, low-income, first-generation, anddisadvantaged were often confounded, despite advisors acknowledging their differences whenprobed. For example, when asked to characterize low-SES students, Martha (all names arechanged for privacy) states: Single
performed in 15-second coding intervals usingvideotapes of engineering classrooms 3. This resulted in the development of a revised version ofthe Observer function (Figure 1), which provided phrases representing possible actions thatmight occur within an observed classroom. Page 23.1032.3 Figure 1. First revision of the Observer function of the G-RATEDespite of the advances made in the Observer function of the G-RATE from the VOS, inter-raterreliability was hampered by two factors. First, the researchers determined that the 15-secondtimeinterval was still too long. While 15-second time intervals may be an enough time for
. Page 23.1033.1 c American Society for Engineering Education, 2013 Remote Circuit Design Labs with Analog DiscoveryAbstractThe limited resources in the traditional labs have restricted the effective and innovative circuitdesign projects from freshmen Circuits 1 class to Capstone ideas. The limited number ofmeasuring and signal-generating instruments makes it difficult for students to engage in theseprojects when they need to share these instruments or schedule to use them at a specific time.Furthermore, it is a challenge for students to learn how to use various instruments includingpower supplies, multi-meters, oscilloscopes, and function-generators if not used in conjunctionwith each other. Likewise
University Calumet has 150 students, the second largest enrollment for such degree. Page 23.1034.1 c American Society for Engineering Education, 2013 Page 1 of 13 REMOTE DEMONSTRATION OF PACKAGING MACHINERY & MECHATRONICS SYSTEMS VIA PUBLIC NETWORKABSTRACTThe ability of remotely operating and visually demonstrating a packaging machine is quiteattractive to an OEM (Original Equipment Manufacturer). Currently, the customer needs to cometo the OEM
translate physical parameters into electrical signals [1]. Inearly days, these sensors were normally coupled with complex digital systems or with computersin order to monitor and control the physical parameters of interest. Those systems were complex,expensive, and large in size. Advancement in technology grew rapidly with the introduction ofmicrocontrollers. The fast developments of these devices have made it possible to replacecomplex electronic systems with simple and cost effective platforms to interface sensors andprovide the necessary measurements. A microcontroller is a device that may have a CentralProcessing Unit, random access memory, read only memory, timers, counters, Analog to Digital(A/D) converters, Input/Output (I/O) ports and/or
technology. Student andindustry assessments show that the certificate program successfully follows a pragmaticapproach that integrates theory with real world applications to prepare students for a career inthe diverse green energy industry.1. IntroductionThe world faces concurrent energy and pollution crises. Rapid population growth and an increasein the living standard in many emerging countries have led to a greater demand for fossil fuels.Over the next 25 years, the societal requirement for energy is forecasted to increase by 36% withthe bulk attributed to developing countries1. The demand for energy will eventually outpace theability to supply energy from traditional resources. Most industry experts believe that an energycrisis is likely for
was a real-world projectdealing with professional entities within and outside the institution, as well as a host of issuesthat came up in implementing the project. The John J. Harper low speed wind tunnel was built in 1931 as the core of the Guggenheimbuilding housing the School of Aerospace Engineering at Georgia Institute of Technology. OnNovember 1, 2011, the water-cooled clutch of the drive system developed a leak. The Facilitiesdepartment personnel could not stop the leak. Any further repair involved disconnecting andremoving the multi-ton clutch through the roof of the motor room to a company site, requiringseveral weeks of shutdown at minimum. Original drawings of the clutch system from 1960 werefound from the tunnel archives but over
to thegraduate student’s thesis research, and iii) The research projects integrate departmental facilitiesand capabilities for continued research in design, fabrication, experimentation, and computationfor future teaching or research activities. The present study analyzes the experiences of theundergraduate students by exploring the following research questions: 1) In what ways doundergraduate students benefit from these courses’ teaching methods? 2) How did thisexperience affect undergraduate students’ interest or motivation for continued research in aparticular area? and 3) What are the particularly important aspects of the instructors’responsibilities that require attention in this teaching arrangement? Pre- and post-course surveysalong
in middle and high schools. The teachers have learned about the engineering designand characterization concepts of carbon nanofiber (CNF) for biosensors applications through theactive participation in the engineering research labs. Glucose biosensors have been shown tohave increased effectiveness when their designs incorporate nanoparticles and nanostructures 1, 2.Based on the research results the teachers develop lecture modules which they implement in theirclasses in the following school year.Training and Professional Development:Relevance of the research to K-12 Education: In this project the teachers have investigated andcharacterized CNF. The research problems, analytical method as well as the characterizationprocedure are related to
that students enjoyed theprogram and learned from the research experience. Eleven out of 16 students who havegraduated are currently attending graduate school, and eight papers have been published.MotivationNational surveys in 2011 and 2012 showed a continuous decline in the number of U.S. studentswho move on to attend graduate school [1]. In addition, there is a shortage of highly educatedskilled workers in the manufacturing sector [2]. With increased pressure for accountability inundergraduate education from stakeholders such as parents and state legislators, higher educationinstitutions are investigating avenues to improve the quality of education. Prior studies byBrownell and Lynn [3], Crowe and Brakke [4], Laursen [5], Lopatto[6], Taraban
Center (SSC) located at EH thatprovided tutoring in mathematics, chemistry, physics and engineering courses 7 p.m. to 1 a.m.five days a week. In 2011, the SSC expanded from one site to three.In this paper, we will describe three research pilots resulting from CEAS and SA collaboration toenhance student success -- Engineering House; Mandatory Mathematics Tutoring; and EarlyIntervention for At-Risk Students. We will describe the design of the research pilots, somepreliminary results, and the lessons learned. Success indicators include performance in first-yearscience, technology, engineering and mathematics (STEM) courses as measured by grade pointaverage (GPA) and percentage of students who successfully completed the course with a gradeof C or
-educated women have increased their share ofthe overall workforce”1. The gender gap in STEM employment is not an anomaly; it reflects thedisparity in the relative numbers of men and women pursuing STEM education, of which the K-12 years, particularly high school, are this paper’s focus.Female high-school students are more likely to aspire to attend college than are their malecounterparts, and young women enroll in college, persist, and graduate from it at higher rates aswell2. So why does this STEM-specific gap exist? This paper employs the tools of “genderanalysis” to address this question.Gender analysis provides a framework for thorough analysis of the differences between women’sand men’s “gender roles, activities, needs, and opportunities in a
technologies to assist persons with disabilities will boost the students’ entrepreneurial spirit[1]. Thus, how to improve the wellbeing of the elderly and disabled population becomes one ofthe challenging issues that face all of us, including families, healthcare facilities and universities[2]. Being a public university located at South Florida gives us a unique opportunity to addressthis issue with first-hand observations and experience. During the past years, caretakers fromhospitals and nursing homes as well as entrepreneurs and inventors have approached FAU for Page 23.1043.2collaboration to improve the life of persons with disabilities
’ exposure to failure case studies has been well documented, 1the documentation of their relative benefits on different aspects of student learning outcomes(professional, technical, ethical, etc.) is scarce. The purpose of this study is to assess the impactof including case studies in civil engineering, engineering mechanics and constructionmanagement courses on students’ technical and professional development. Existing and newfailure case studies are being included in multiple undergraduate courses offered across a numberof semesters at seven participating universities1 (see Table 1).In earlier work, students in courses were surveyed about the contribution of failure case studiesto attainment of the ABET Criterion 3 a-k student outcomes 2. A mixed
engineering students at WVU must complete a common“first year experience” before moving to an engineering major. Prior to registration, amathematics placement test is administered to assess Calculus readiness. Students who are notcalculus-ready at entry usually take 1.5 to 2 years to complete the courses required to move to anengineering major. This study only includes students in their first semester in college; none ofthe students have declared an engineering major. Table 1: Characteristics of the sample studied Parameter Statistics Gender Male 69
research during the academic year and several of them have alsoserved in that capacity in every summer as SURE faculty advisors. This group of veryaccomplished and diverse faculty advisors has proven to be excellent resources for SUREstudents because they share two viewpoints: (1) the importance of undergraduate research inencouraging graduate study; and (2) the need for all segments of society to participate inengineering and science careers. SURE ensures the development of interaction between theparticipants and the faculty by facilitating direct, one-on-one relationships. This enhances theresearch experience of the undergraduates by providing practical examples of the typical day-to-day interactions that take place between professors and
implementing machine learning techniques to Identify opponent strategies in game theoretical situations. Currently, Roy is applying Inverse Reinforcement Learning to uncover trading strategies in the commodity markets.Mr. Mark Endel Paddrik, University of Virginia Page 23.1047.1 c American Society for Engineering Education, 2013 Revolutionizing Financial Engineering Education: Simulation-Based Strategies for LearningSection 1: Introduction to Microstructure Financial engineering is a critical aspect of contemporary markets, and itspedagogy of the utmost
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
accreditation, graduate placement in jobs and graduate school, and course andproject evaluations. The paper concludes with a summary of lessons learned and projections forthe future.1. INTRODUCTIONRobotics—the combination of sensing, computation and actuation in the real world—is Page 23.1049.2experiencing rapid growth. In academia, any issue of IEEE Spectrum, ACM TechNews, orASEE First Bell is likely to contain many robotics headlines. In industry, new companies andproducts appear at an accelerating rate. Bill Gates has famously predicted that there will soon bea robot in every home [5]. Growth in robotics is driven by both supply and demand. The
participation rate nationwide andparticularly at XXX. Our belief is that the S-STEM scholarship program combined with theunique environment at XXX is particularly conducive to a high chance of success for thesestudents and therefore a good use of resources. The foundations for this program were designedbased upon literature that states, the most successful programs for women and minorities provide“strong financial support, create a successful learning environment, access to role models andfaculty mentorship, and ensure existence of peer support” [1-4]. The job gap in Electrical and Computer Engineering – the difference between the numberof engineers needed and the number of engineers graduating – is predicted to be one of thehighest among the