AC 2008-2065: A SPIRAL CURRICULUM APPROACH TO THEIMPLEMENTATION OF INSTRUMENTATION IN BIOLOGICAL SYSTEMSENGINEERINGKumar Mallikarjunan, Virginia Polytechnic Institute and State University Dr. Kumar Mallikarjunan is an associate professor in Biological Systems Engineering at Virginia Tech. He is interested in understanding and implementing a spiral theme based engineering curriculum for the Biological Systems Engineering program, engineering ethics, and promotion of undergraduate research.Anand Lakshmikanth, Virginia Polytechnic Institute and State University Mr. Anand Lakshmikanth, doctoral student in Biological Systems Engineering at Virginia Tech, has been actively engaged in learning about
Page 11.1228.9distinguish us from our science colleagues. This approach applies not only to our ownengineering students, but also to our non-engineering students, i. e, those whom we (areabout to) instruct in technological literacy. Such an educational approach could alsoprovide a professional and social representation of the engineer to the rest of society. Representation is a word with great resonance within the community of designprofessionals and instructors. For example, in Engineering Design: A Synthesis of Views,C. Dym 26 writes “The principal thesis of this book is that the key element of design isrepresentation. If we were to consult a standard dictionary, we would find representationdefined as ‘the likeness, or image, or
Page 11.1229.9distinguish us from our science colleagues. This approach applies not only to our ownengineering students, but also to our non-engineering students, i. e, those whom we (areabout to) instruct in technological literacy. Such an educational approach could alsoprovide a professional and social representation of the engineer to the rest of society. Representation is a word with great resonance within the community of designprofessionals and instructors. For example, in Engineering Design: A Synthesis of Views,C. Dym 26 writes “The principal thesis of this book is that the key element of design isrepresentation. If we were to consult a standard dictionary, we would find representationdefined as ‘the likeness, or image, or
inadequately developed in educational courses and curriculanationwide [6]. The engineering education, therefore, has to effectively add value beyond justteaching technical skills [1],[3]. For instance, although communications have recently beenincorporated into engineering schools (motivated by ABET and other accreditations), someuniversities simply attempt to provide extracurricular skill training to develop students’professional skills [11]. Such initiatives are usually kept separate from the technicalcurriculum; moreover, most of the CM coursework is heavily skewed towards writing, whichultimately hinders active engagement and communication skills [4]. While teaching CMstudents how the physical world works are at the core of their education today
. Thevalue of evaluations, rubrics, surveys, and projects is discussed.IntroductionSince the inception of its mechanical engineering program in 2006, the Department ofEngineering at Central Connecticut State University has maintained a comprehensive StudentLearning Outcomes (SLO) assessment process and evaluation. Several direct and indirectmeasures have been used throughout the process. Direct measures include regular exams andquizzes designed to test the mastery of specific skills, fundamentals of engineering (FE) styleexams, computer projects, and lab or project reports. Indirect measures include student surveys,the exit interview, and input from focus groups and Industrial Advisory Board members.ABET’s Engineering Accreditation Commission (ABET
, verification of workability, does it meet constraints, criteria Evaluation: Comparing alternatives, judgment about various options, is one better, cheaper, more accurate Decision: Select one idea or solution among alternatives Project Realization Communication: Define the design to others, write down a solution or instructions Implementation: Produce or construct a physical device, product, or system Table 1: Design Step Codes and Design Stages To assess the quality of the design, we scored each subject's solution based on whether asubject satisfied each of the seven specific constraints outlined in the problem statement andshown in Table 2. The decision of whether a constraint was met is based on a review of thetranscript
all their lab results in the form of tables and figures, they arrange a checkoff via web-conferencing software with their instructor (including both audio and video). During thischeckoff, the faculty member can assess that specifications have been met and that the studenthas a good grasp on the material prior to writing their lab report. This approach requires that thelab manager and the student are both comfortable with the lab and is best accomplished when thestudent has received feedback, such as a graded prelab or a checklist of required data, prior toentering the lab. One of the main drawbacks of this method is that if the student failed toproperly complete a portion of the lab or if they simply failed to document a portion of the lab
, and math; or based on the maximum rank minus minimum rank were:sustainability, ethics, math, and breadth. Finally, among environmental engineering students thegreatest differences of opinion based on the standard deviation of the average ranking were forthe natural science, material science, math, and mechanics; or based on difference in themaximum and minimum rank were: math and communication. Differences in the perceptions ofsenior students based on Likert-scale ratings were also determined from graduating seniorsurveys administered by the College of Engineering. In addition, the Fundamentals ofEngineering (FE) exam is required for students in all three majors, and the results werecompared. Recognizing similarities and differences points to
”, Learning and Instruction, vol. 20, no. 4, pp. 328-338, 2010.[14] J. H. Kaufman and C. D. Schunn, “Students’ perceptions about peer assessment for writing: Their origin and impact on revision work”, Instructional Science, vol. 39, no. 3, pp. 387– 406, 2011.[15] L. Li, X. Liu and A. L. Steckelberg, “Assessor or assessee: How student learning improves by giving or receiving peer feedback”, British Journal of Educational Technology, vol. 41, no. 3, pp. 525-536, 2010.[16] S. Thiam, T. Madruga, A. Vasquez, R. Kothari and G. G. Krauss, “Is it really a choice between quantity and quality for peer feedback?”, International Journal of Engineering Education, vol. 36, no. 2, pp. 687-701, 2020.[17] T. Madruga
professional skills in engineering. He and the studentsdiscussed the details of the presentations and clarified definitions and fundamental concepts for eachof the four topics. A follow-up assessment was conducted wherein the instructor asked essayquestions on the midterm exam addressing each of these four topics again. Specifically, studentswere asked to provide complete essays on the following. 1. Define public policy. Provide three examples of public policy that civil engineers must consider in running an office or designing for a construction project. 2. Discuss at least three elements required to have a successful business in engineering. Why is each one important? Are they all required or is one sufficient for success? 3
robotics kits to design and built modules inorder to meet specified requirements. The competition activities are planned to promotecollaborative group learning skills. The mentoring component further sustains this effortby bringing sophomores / juniors as peer group leaders in weekly sessions focusing onlearning in fundamental classes.Majority of cohort do not meet placement requirements, start at remedial mathematicslevel. The long series of remediation needed to enroll in freshman level classescontributes greatly to large attrition rate. The integrated enrichment activates engagesthis group; provides counseling, stipend and a nurturing up-to-date environment. Thisprogram is part of a larger project to increase baccalaureate level graduation rate
the instructor’s image.At the end of the study, a third monitor was added to the classroom that continuouslybroadcasts the instructor camera view. Just as in a direct-contact classroom, the studentscan now see both the instructor and what the instructor is writing at the same time. Out-of-class interactions occur through telephone, e-mail, and through synchronous on-linemulti-media communication. However, for the students to make full use of all the multi-media capabilities available on-line they must use a dedicated computer system in thecomputer technician’s office. The full capabilities including video camera, documentcamera and scanner are not available in a student-accessed portion of the computerlaboratory on campus. “Active
andevaluation of the product. The bulk of student AIAD experience is in evaluation of concepts,actual product design through simulation or testing, and evaluation of a final product. Studentsalso have secondary tasks of ordering materials for constructing a product, running computerprograms and writing subroutines, constructing CAD models, and delivering informationbriefings. With these larger scale projects, students can personally experience a thorough, longerengineering process. Even though they may only see a limited portion of the overall project,students gain an understanding and appreciation of the time frame and requirements for a majorproject. With prior in-class projects limited to several weeks, they quickly change their firstimpression of
2006-1282: FIRST-YEAR ENGINEERING PROGRAMS AND TECHNOLOGICALLITERACYMatthew Ohland, Clemson University Matthew W. Ohland is an Associate Professor in Clemson University’s General Engineering program and is the President of Tau Beta Pi, the national engineering honor society. He received his Ph.D. in Civil Engineering with a minor in Education from the University of Florida in 1996. Previously, he served as Assistant Director of the NSF-sponsored SUCCEED Engineering Education Coalition. His research is primarily in freshman programs and educational assessment. Page 11.644.1© American Society for
,and mathematical concepts, with the shared and required engineering processes, skills, andvisualization abilities, are fundamental to this investigation. Abilities of students to visualizerotated three-dimensional objects are central to understanding and interpreting this scientific,technological, and mathematical visual-based information.Spatial Visualization AssessmentSpatial visualization involves mentally rotating, twisting, or inverting a perceived object 14.Research has shown that the Purdue Spatial Visualization Test - Visualization of Rotationsmeasures spatial visualization ability 14. The Purdue Spatial Visualization Test - Visualization ofRotations is one assessment of the numerous Purdue Spatial Visualization Test
Paper ID #5971Faculty Development Through Industrial InternshipDr. Vedaraman Sriraman, Texas State University, San Marcos Vedaraman Sriraman is a Professor in the Department of Engineering Technology at Texas State University- San Marcos. In the past, he has served as the Manufacturing Engineering program coordinator, Chair of the Department of Engineering Technology and Assistant Dean in the College of Science at Texas State University. He has received several gramts form the NSF and SME-EF to initiate new curriculum and laboratories. Dr. Sriraman has received several teaching awards and has served as the faculty advisor to
senior year. One of the requirements of the Civil Engineering Senior Design is that each graduating senior take the Fundamental of Engineering Exam (FE) during their Senior Year. The funding that is obtained from the sponsors allows the Civil Engineering Program to pay for each student’s application. Passing the FE exam is not a requirement for graduation. The FE requirement was enthusiastically supported by the Civil Engineering Visiting Committee (CEVC) who unanimously felt the students should be required to take the FE exam (directly linked to ABET criteria f). Objective 2: Be thoroughly aware and knowledgeable in dealing with environmental, social, ethical and economic impacts of their projects. All students within the Civil
Session 3648 Microprocessor Controlled Milling Machine: A Student Project Mohammad Fotouhi, Ali Eydgahi, Joshua Wagner University of Maryland Eastern ShoreAbstractThis paper describes the details of an undergraduate design project in our DesignTechnology course and the experience gain by the student involved. The intent of thecourse is to expose students to real world design projects. Students are expected to becreative and innovative in their design projects and utilize a multitude of engineeringdisciplines that Engineering Technology Program offers at the University of MarylandEastern Shore. The objective of this
Session 2238 Engineering Design Graphics as a Communications Tool For Mechanical Design: A Broader View Holly K. Ault, Ph.D. Mechanical Engineering Department Worcester Polytechnic Institute Worcester, MA 01609-2280AbstractAmongst the many skills required of newly graduated engineers is the ability to clearlycommunicate their designs and engineering analyses using both verbal and graphical languages.The new ABET EC2000 criteria emphasize that
AC 2011-1278: THERMAL SCIENCE CAPSTONE PROJECTS IN ME-CHANICAL ENGINEERINGNihad Dukhan, University of Detroit Mercy Nihad Dukhan is an Associate Professor of Mechanical Engineering at the University of Detroit Mercy, where he teaches courses in heat transfer, thermodynamics, fluid mechanics and energy systems. His ongoing research interests include advanced cooling technologies for high-power devices with focus on metal foam as the cooling core, service learning and other engineering education pedagogies. Dr. Dukhan earned his BS, MS, and Ph.D. degrees in Mechanical Engineering from the University of Toledo.Mark Schumack, University of Detroit Mercy Mark Schumack is Professor of Mechanical Engineering at the
creditrequired course and its corresponding 1 credit required lab for the Food Engineering program atUDLAP. Approximately 10-12 students are enrolled in per semester. Food analysis (theory andlab) courses major goal is to help students think about the way a food analyst does. Thus,students are involved in understanding key subjects while achieving the following outcomes: beable to use the laboratory techniques common to basic and applied food chemistry and analysis,be able to select the appropriate analytical technique when presented with a practical problem,and understand the principles behind analytical techniques.The fundamental concepts of the courses are, therefore, the chemical composition of food and itsrelation with available techniques for
Session 2370 Providing a More Complete Preparation for Engineering Students in a Minority Hispanic Institution Arturo A. Fuentes, Cristina Villalobos Department of Mech. and Industrial Engineering/Department of Mathematical Sciences The University of Texas at El Paso El Paso, Texas, 79968, USAAbstractIt is necessary to help preserve standards of quality in our society through education to maintainsafety and integrity. The University of Texas at El Paso (UTEP) is the second largest Hispanicinstitution in the United States. Over 67% of its
for several reasons. Because BE 1252 is a freshmen levelcourse, the instructor cannot assume that students have had calculus or physics. Thus, there islittle emphasis on engineering calculations. However, students can gain an appreciation of theengineering method and on how to approach problems from a “big picture” standpoint withouthigh level math skills. If the instructor points out where in the process (and a little of how)engineering calculations are necessary, but shows this in the larger context of approach,synthesis, evaluation, communication and implementation of designs, the students will gainknowledge of the design process, and an understanding of the fundamental courses necessary foran engineering degree. The tiger habitat
Paper ID #42715Board 159: Development and Initial Findings of a Summative Assessment forHigh School Engineering Course (Evaluation, Work in Progress)Dr. Jeanette Chipps, The Johns Hopkins University Jeannie Chipps is a research assistant at the IDEALS institute at Johns Hopkins. Her interests are in supporting teachers in their efforts to create learning environments that support diverse learners in STEM.Dr. Stacy S Klein-Gardner, Vanderbilt University Dr. Stacy Klein-Gardner serves as an Adjunct Professor of Biomedical Engineering at Vanderbilt University. She is the co-PI and co-Director of the NSF-funded Engineering for
is rarely explicitly taught to engineeringlearners. The implicit inclusion of modeling often results in conceptions of models beingprimarily descriptive, originating from everyday and coursework use. A broader understandingof modeling is achieved when students are given opportunities to learn about the predictivenature of some modeling applications. A significant shift was observed between pre and post-surveys of senior engineering students taught a modeling intervention. Descriptive-centricconceptions remained prevalent with an additional focus on predictive mathematical models.IntroductionMany courses in an engineering curriculum focus on teaching students “engineeringfundamentals.” Engineering fundamentals can include many different
differences usually manifest themselves in the primary requirementsand characteristics of the faculty. The faculty executes the institution’s mission. Facultymembers teach the students; generate research ideas and write proposals, to acquire funding thatsupports research activity and manage and execute research operations. Faculty membersexecute the service goals of the institution, both internal and external. Hence, the institution hasa tremendous stake in the selection and retention of every faculty member, since it mission andreputation is raised or lowered by the performance of each individual member.II. The SituationResearch universities have made a major commitment to the execution of fundamental research.The selection of persons to populate
WICAT@VT. The research interests of Dr. Bose include signal classification for cognitive radios, channel equalization, adaptive filtering algorithms, and nonlinear effects in digital filters. He is author of the text Digital Signal and Image Processing, John Wiley, 2004. He is also the author or co-author of over 120 technical papers. Dr. Bose served as the Associate Editor for the IEEE Transactions on Signal Processing from 1992 to 1996. He is currently on the editorial board of the IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (Japan) and Research Letters in Signal Processing. He also served on the organizing committees of several international conferences and
STEM enthusiasts, particularly those who may not traditionally have had access to such opportunities.Ms. Cynthia Hampton Ph.D., Virginia Polytechnic Institute and State University Cynthia Hampton (she/her) is a postdoctoral research fellow with the Center for the Enhancement of Engi- neering Diversity (CEED) at Virginia Tech. She has done work as a transformational change postdoctoral research associate with the University of Colorado at Boulder. Her research and practice spans student intervention programs, faculty agency, evaluation, grant-writing, and facilitation of change initiatives.Dr. Kim Lester, Virginia Polytechnic Institute and State University Dr.Lester serves as the Coordinator of Pre-College Programs at
Paper ID #19197Study of Pre- and Post-Course Knowledge Surveys in an Engineering Econ-omy CourseDr. Simon Thomas Ghanat P.E., The Citadel Dr. Simon Ghanat is an Assistant Professor of Civil and Environmental Engineering at The Citadel (Charleston, S.C.). He received his Ph.D., M.S., and B.S. degrees in Civil and Environmental Engineering from Arizona State University. His research interests are in Engineering Education and Geotechnical Earthquake Engineering. He previously taught at Bucknell University and Arizona State University.Dr. Dimitra Michalaka, The Citadel Dr. Dimitra Michalaka is an Assistant Professor at the
goal was to master fundamental mathematicaltechniques for modeling and control of robots based upon human control signals. The objectivesincluded writing robot control algorithms, measure control signals based upon physiologicalvariables such as EMG, ECG, joint angle, and programming the virtual integration environmentto simulate robot actions. The assignments included homework, exams, projects, labs, andparticipation. The lectures included robot introduction and anatomy, system integration,physiology, human actuation, robot actuation, EMG processing and classification, haptics and Page 26.1462.4VIE.The final course reviewed was at Carnegie