and is the most important experiment that an engineer mustfully understand. Thus, it is highly important for the students to develop and master the skills tocharacterize solar cells/modules, record the I-V curves, and be able to extract the cell/module PVperformance parameters by analysis of the measured I-V data.The equivalent circuit of a solar cell is shown in Fig. 1 (a) considering the single diode model. Thecurrent-voltage characteristic of the solar cell can be expressed by the following equation5,6: 𝑞(𝑉 + 𝐼𝑅𝑠 ) 𝑉 + 𝐼𝑅𝑠 𝐼 = 𝐼𝑝ℎ − 𝐼0 [exp { } − 1] − ( ) … … … … . … … … … (1) 𝑛𝑘𝑇
experimental set of diffusion coefficients Compare the experimental drug release profile to a theoretical release profile predicted from estimates of the diffusion coefficientExperimental SetupThe following reagents are required: sodium alginate, chitosan, 6% calcium chloride in distilledwater, 5% sodium citrate/0.9% NaCl in distilled water, pure distilled water, Allura Red(McCormick red food dye), fluorescein-labeled bovine serum albumin (BSA). The total expenseof these reagents is approximately $300, most of which is attributed to the fluorescent BSA.Prior to the lab, sodium alginate is dissolved in distilled water with the model drug and agitatedovernight at room temperature. The alginate composition varies from 1-3% alginate by mass
identity in CS. Initial validation and reliability testingresults indicate that the tool is both valid and reliable.Related WorkThe review of the literature identified several computing and engineering-related surveys overthe last 15 years that measure students’ attitudes toward and interest in CS and engineering.Table 1 presents the most related surveys, participant grade levels, constructs measured, andmeasurement scale. Table 1. Computing and Engineering-Related Surveys Name Grade Constructs Measurement Level(s) ScaleComputing Undergraduate Transfer, Interest, Problem
during their time at KansasState University would be paid off after graduation with an engineering degree. Students in thecontrol group were not told about the program. The initial grade point averages (GPAs), the finalGPA, graduation status, and demographic information were collected from all participants.Multiple statistical methods were used including independent t-test, repeated-measure analysis ofvariance, and chi-square test.We found that (1) while the experimental group and the control group as a whole were verysimilar in terms of their initial average GPAs, participants in the control group who successfullygraduated with an Engineering degree had statistically significantly higher baseline GPAs thanthose who did not graduate; by contrast
) first admitted students in 2006,debuting with three majors leading towards the Bachelor of Science degrees in Bioengineering,Civil Engineering, and Environmental Engineering. The Software Engineering Major was addedin 2011. In concert with the University mission, ABET criteria require engineering programs toproduce “graduates who pursue life-long learning through continuing education and/or advanceddegrees in engineering or related fields. Additionally, ABET criteria requires that graduates beable “to design a system, component, or process to meet desired needs within realistic constraintssuch as economic, environmental, social, political, ethical, health and safety, manufacturability,and sustainability.” (ABET 2014)1 With
and marketability, but the truequestion that they are wanting to answer is will I be able to find a job upon graduation.According to the United States Department of Labor’s Occupational Outlook Handbook,industrial engineering will grow 5% from 2012 to 2022, which will produce anemployment change of around 10,000 jobs, but will this growth be able to provideenough opportunities for current and future industrial engineering students? Also, what isthe perception of industrial engineering job opportunities by incoming engineeringstudents? This paper analyzes and compares the results from 3 surveys administered bythe University of Arkansas. It will 1) explore survey results for students interested inindustrial engineering to help gain insight on
overallorganizational success.Introduction: Information Technology (IT) is a fast-growing field interrelating many disciplinesto fulfill business computing and transactional processing needs. Information technologyencompasses hardware, software, and network communications software and hardware toprovide high quality services and products. The advancement of network telecommunicationsand related technologies has served as a catalyst to many organizations to advance the way toconduct business. More businesses now utilize web-based computing and transactionalprocessing. Adopting a prescribed process model is a major factor in the ability to save time andmoney within an organization [1][21][23]. Organizations could implement ITIL partially orfully without
-2008 Fulbright exchange to Nigeria set the stage for him to receive the Marian Smith Award given annually to the most innovative teacher at Washington State University. c American Society for Engineering Education, 2016 Implementation of an Ultra-low Cost Heat Exchanger Learning Module to Address Energy Balance ConceptsIntroductionEngineering education researchers are publishing many instructional designs that report acognitive edge over straight lecture (1, 2). These fall under the category of High PerformanceLearning Environments (Hi-Pe-LE) (3) which constitute a wide array of pedagogies ofengagement (4) like Problem-Based Learning (PBL) (5), hands-on learning and experimentalformats (6
active learning in these formative semesters, an electronicdesign tool and carefully-crafted exercises have been integrated into the early EE curriculum.To engage students in hands-on exercises in their early EE courses, a design tool was selectedwhose operation requires minimal electrical knowledge and whose cost is not prohibitive toundergraduates: the Analog Discovery manufactured by Digilent. The unit, shown in Figure 1,is a portable electronic instrument, powered by a single USB port from a personal computer.1 Itsanalog/digital input/output lines and freeware graphical user interface, WaveFormsTM, providethe student with a variety of low-frequency electronic generation and measurement capabilities.2The analog and digital tools, whose
in general. This context, whether in dynamics or other subject areas, has alot of potential for developing students’ problem solving skills using MATLAB programming.The purpose of this work is to illustrate this potential for enhancing programming instruction fora specific example of a dynamics course, however these ideas could be applied to other coursesas well.Implementation This idea was implemented within an undergraduate dynamics course that met 4 hoursper week. The structure of this course was approximately 75% (~3 hours per week) dedicated toconventional dynamics lecture instruction, with the remaining 25% (~1 hour per week) dedicatedto MATLAB programming within the dynamics context. This course is a requirement for
structured and offered interms of group project, method of delivery, etc. Based on the analyses done on the results of thesurvey, with exception of one, all the participants mentioned that they offer an undergraduatecourse. As far as software, there were a variety of simulation software mentioned by theparticipants such as ARENA and ProModel, to name a few. The respondents also emphasized onthe importance of real-life projects and such aspects as team work and long-life learning.IntroductionDiscrete-event modeling and simulation provides useful information on how one can modify asystem in order to streamline the production flow, decrease waste, remove identified bottlenecks,etc. As Banks [1] states, simulation is "the imitation of the operation of a
, design, measurements, and dynamics.Prof. Roelof Harm deVries P.E., Prof. deVries has been the Assistant Professor of Mechanical Engineering Technology at the University of Pittsburgh at Johnstown since 2008, with 25 years of experience in design and engineering management. c American Society for Engineering Education, 2016 End Fixture Design to Enhance Column Buckling Laboratory ExperimentAbstract Column buckling is an important topic in strength of materials courses. This topic hasbeen emphasized with a compression/buckling experiment using a Satec uni-axial testingmachine to compressively load 1/2 inch diameter Polyvinyl Chloride (PVC) pipe columns
storewere purchased with rubber bands. We also gathered paper, googly eyes, stickers, toothpicks andother craft materials like feathers for decoration. Table 1. Bill of materials and cost for Art Bots scribbling machine scribble-bot $3.00 motor $1.00 electric toothbrush $0.50 battery $0.20 foam pool noodle $0.25 basket $0.10 rubber band $0.10 rubber band -- craft supplies $0.05 offset weightIn preparation for outreach events, we divided up the fabrication steps into 4 working stations.Beard5 describes in depth our outreach
research interests include: 1) engineering and entrepreneurship education; 2) the pedagogy of ePortfolios and reflective practice in higher education; and 3) reimagining the traditional academic transcript.Beth Rieken, Stanford University Beth Rieken is a sixth year graduate student at Stanford University. She is currently working on her PhD in Mechanical Engineering with a focus on the relevance of mindfulness to engineers. Beth completed a BS in Aerospace Engineering from the University of Virginia in 2010 and a MS in Mechanical Engineering from Stanford in 2012.Autumn Turpin, Stanford University Autumn Turpin is a junior undergraduate studying Engineering, Product Design at Stanford University. She was born and
learn in their mathematics classrooms. In addition to these grade-levelcontent standards, there were also standards of mathematical practice that cut across grade levels(See Table 1). These standards described mathematical habits of mind, which are important forcritical consumers of mathematics content.MP1 - Make sense of problems and persevere in solving themMP2 - Reason abstractly and quantitativelyMP3 - Construct viable arguments and critique the reasoning of othersMP4 - Model with mathematicsMP5 - Use appropriate tools strategicallyMP6 - Attend to precisionMP7 - Look for and make use of structureMP8 - Look for and express regularity in repeated reasoning Table 1 – Standards for Mathematical Practice (NGA, 2010)What becomes
participant's previous mathematicaland design knowledge and experiences did not moderate idea generation.IntroductionEngineering and Design educators observe that at differing points students struggle with fixation.This is a concept which represents the premature commitment to an idea, solution or concept andcan take many forms across disciplines. [1. Considering that engineering students typically solveproblems which vary greatly in complexity, can fall anywhere on the continuum for definedness,from well-defined problems to ill-defined problems and which require them to access and applyknowledge from varying disciplines, the occurrence of design fixation in engineering studentsmust be understood. Beyond understanding, engineering education and design
concepts are introduced followed by one or two example problems that are solved duringthe class session [1]. It was long felt by engineering professors that this method was the mosteffective in covering the large amount of required material in time periods allotted for the course[2, 3] . Since large amounts of information can be given by the lecturer in relatively short periodsof time, the historical belief has been that this is the most effective means of teaching thematerial. Mejias [3] argues that this belief, however, is predicated on the assumption thatstudents are “empty receptacles waiting to be filled with knowledge.” Borrego and Bernhard [4]found that “lectures are an efficient means of delivering material to large numbers of
spreadsheets. This work further explores student confidence andcompetence on several computational problem solving skills. To determine this, a short pre-assessment was given to students on the first day of their beginning First-Year Engineeringcourse. This pre-assessment included topics that are important for using computational tools tosolve problems. Following each question, students were asked to rate their confidence in theiranswer on a five-point Likert scale (1 = completely confident to 5 = not at all confident). Theresults from the pre-assessment were compared to similar questions (both skill and confidencequestions) on the midterm and final exams. Additional post-assessment measures includeperformance on two lab practical exams, one using
learning resulting from the case study process is often very subjective, and is difficultto generalize.The Engineering Professional Skills Assessment (EPSA) was created as a direct method foreliciting and measuring professional skills, such as ethics, which are critical for all engineers.EPSA is a performance assessment consisting of: 1) a 1-2 page scenario about aninterdisciplinary contemporary engineering problem intended to prompt discussion among agroup of 5-6 students; 2) a 30 to 45- minute discussion period where students are asked toaddress a series of standardized questions about the scenario; and 3) an analytical rubric, whichprovides a consistent and standardized means to evaluate the students’ discussion.This paper describes how the
these available systems, theVernier Dynamics Cart and Track Encoder System, shown in Figure 1, was determined to be thepreferable solution because of its cost and the corresponding data acquisition software, LoggerPro. This is a low-cost system that is marketed towards high school and collegiate work, andproved to be easy to modify for the desired experiments. Figure 1: Photo of the experimental apparatus. Source: http://www.vernier.com/images/magnify/product.vds._hero.001.jpgThe resulting device required only a few alterations to the original system to adapt it to thepurpose of teaching dynamic modeling. In order for
continuous improvement process. Once the proposed curriculum isimplemented, it is continuously reviewed as student learning is assessed. This paper is based onprevious work started at the Universidad Icesi School of Engineering [1] and presents anadaptation of the proposed methodology for the IE undergraduate program. The adaptationpresents the grouping of steps according to the PDCA (Plan, Do, Check, Act) cycle and theinclusion of ABET accreditation considerations for program assessment purposes.MethodologyThe IE Department led a systematic review of the IE undergraduate program curriculumfollowing the process established for all undergraduate engineering programs in the engineeringschool; this process is described below in Figure 1. Each of the
fundamental courses like physics and chemistry. While freshmen tend to focus on the socialaspects of moving away from home and living on a large college campus, sophomore studentsbegin to worry about building their resumes to enhancing their chances for obtaining their firstsummer internship or co-op. In recent years the AIChE student chapter and their faculty advisorat Louisiana State University (LSU) have been tracking student performance in two core courses that the majority of sophomores are enrolled in during the fall semester (Figure 1
preparation prior to the regular class activities, and often takes the form ofan online or in-class quiz.4Individual RATs have five main benefits: (1) they signal important vocab and concepts to thestudent; (2) they reinforce course material in a student’s memory through forced recall; (3) theyprovide feedback to a student on their basic understanding of the material, (4) they provide anopportunity for a student to ask pointed questions, and instructors to practice “Just-in-Time”Teaching,5 and (5) they motivate a student to adequately prepare before class—not just by goingthrough the motions of reading or watching the preparatory material, but also by micro-studyingthe material so they will begin to remember it when they need to recall it for the
• Rules of Thumb • The 80/20 Rule • Visual Method • Upper and Lower Limit EstimationsFor each method the authors introduce a brief history, a short explanation, as well as suggest howand when to use each method. Also included are classical examples and practice problems toreinforce students’ knowledge.In order to assess the validity of the proposed approach, a recent presentation about estimationmethods followed by a detailed questionnaire was presented to students in a “Fundamentals ofEngineering” class that comprised of freshman students resulting in 63 responses that are veryfavorable. Summary of results on a scale of “1” to “5”, “5” being strongly agree, “3” neutral,and “1” strongly disagree. The overall average response was
andengineering concepts. Many of the activities for these outreach activities engaged participantsin a 3-tiered energy challenge by designing and fabricating prototypes that demonstrate: (1)Energy generation and conversion, (2) Increased energy efficiency, and (3) Energy usemonitoring and control.The design and physical modeling that was employed in the outreach events using energytechnologies requires students and teachers to practice high-level thinking (e.g. analysis,synthesis, evaluation) in teams while building a culture geared toward energy technologyinnovation. The participants were introduced to concepts from traditional engineering curriculasuch as thermodynamics, fluid mechanics and dynamics, while working with principles ofrenewable and
graduate students and facultymentors. Students also participated in professional development seminars and structured socialactivities designed to further facilitate cohesion and integration into the research setting. Thefindings support the use of effective structural and programmatic elements in implementingresearch programs aimed at fostering research skills among undergraduate students. The findingsalso contribute to a developing understanding in the literature of the benefits of REU programsas well as the importance of student collaboration during structured research as a mechanism forfostering the development of research skills 1-4.BackgroundThe importance of undergraduate research experiences in facilitating students’ research-basedskills
the students. After two weeksof working on these problems student teams presented their results to the entire class. Theirpresentations and results were assessed by the industrial partner who developed the problem anda thermal systems faculty member who does not teach heat transfer. This paper describes thefive AEPs, and how the AEPs were used in the course.IntroductionOne of the major tasks outlined by the Committee on Engineering Education of NationalAcademy of Engineering (NAE) in educating the engineers of 2020 was a “better alignment ofengineering curricula and the nature of academic experience with the challenges andopportunities graduates will face in the workplace.”1 The need for this task stems from the factthat most modern and
experienced during the process. The instructorassesses all components other than the peer evaluation. Weights for each component are shown in Table1. % of Assessment Final Grade Project – Deliverable 1 5% Project – Deliverable 2 10% Project – Deliverable 3 15% Project – Deliverable 4 15% Project Presentation and Software 10
is used as a filter to determinewhether a student should be placed in Pre-calculus or Calculus 1. Students beginning theirpreparation for a degree in engineering at The Citadel must complete a series of math coursesthat include Calculus 1-3 and Differential Equations 1-2 for mechanical engineers. Even amongthose who declared engineering as their major, nearly 50% of students placed into the Pre-calculus math course. The results of the math placement test have serious and adverseconsequences for these students’ timely completion of lower-division courses. It becomesquickly obvious that under-prepared students will face many challenges completing themechanical engineering program.To assist in the transition of students from high school to the
students and new faculty considering new research avenueswith limited resources, in an effort to maximize the usefulness of previously dedicated resources.IntroductionIn the worlds of statistics and quantitative research, the term ‘data mining’ is used to refer totechniques that help researchers investigate new findings from existing data sets[1, 2]. DataMining usually involves analyzing extremely large databases, but the methods involved areapplied to smaller sets of data as well. In all applications, the purpose of data mining is todevelop new knowledge from existing information.In qualitative research, we often use the term secondary analysis for the repurposing of existingdata for new investigations[3-5]. Broadly, this includes any subsequent