ofthe meetings with the faculty advisor. A sample project plan is included as Table 2. The purposeof the plan is to encourage the students to look beyond the three deliverables imposed and tomake sure that they complete all of the various tasks that are necessary for the successfulcompletion of the design. It does not matter if the estimates for each task are unrealistic as this isintended to be a learning opportunity. The students are asked to revise the plan as the courseproceeds in hopes that they will become better estimators of the time required to completevarious tasks. Page 12.1267.7 6 Table 1
2006-433: STREAMLINING THE WORKFLOW OF AN ENROLLMENTMANAGEMENT DEPARTMENT THROUGH INDUSTRIAL ENGINEERINGCONCEPTSSreekanth Ramakrishnan, SUNY Binghamton Sreekanth Ramakrishnan is a doctoral student at the Department of Systems Science and Industrial Engineering at Binghamton University, State University of New York at Binghamton. His research interests include Enterprise Resource Planning, Business Process Reengineering and Simulation-based Frameworks. Currently, he is a research associate with IBM Enterprise Learning, Poughkeepsie, NY. His email address is sramakr1@binghamton.edu and his webpage is http://bingweb.binghamton.edu/~sramakr1.Justin Sturek, SUNY Binghamton Justin Sturek
Paper ID #26309Board 78: ILL Communication: Analyzing five years of Iowa State Univer-sity’s print Interlibrary Loan requestsMr. Eric J. Schares, Iowa State University Eric Schares is an Engineering & Physical Sciences Librarian at Iowa State University. He serves a liaison to the departments of Electrical and Computer Engineering and Industrial and Manufacturing Systems Engineering. Eric has a B.S. in Electrical Engineering from Iowa State, and an MLIS from Rutgers University. Prior to his current role at Iowa State, he worked at Intel for 10 years as an array reliability engineer on NAND flash memory
Paper ID #24908Board 87: Global Marketplace and American Companies in the Middle Eastand North Africa (MENA)Dr. Gholam Ali Shaykhian, Florida Institute of Technology Gholam Shaykhian has received a Master of Science (M.S.) degree in Computer Systems from University of Central Florida and a second M.S. degree in Operations Research from the same university and has earned a Ph.D. in Operations Research from Florida Institute of Technology. His research interests include knowledge management, data mining, object-oriented methodologies, design patterns, software safety, genetic and optimization algorithms and data mining. Dr
ofpercentage of BS degrees is roughly half of what it was in the earlier period. Meanwhile, growthin female faculty remained sluggish through the 1980s, then gained more moderate growth in the1990s that has been sustained consistently from that point. Because of the way these two groupsincreased relative to each other, the ratio of annual female BS degree recipients to femaletenured/tenure track faculty reached an all-time high of 41.5 to 1 in 1983 and improved over thecourse of the next 25 years.Given the high female student to faculty ratio in 1983 and the fact that only approximately 300female tenured/tenure track faculty were employed nationally, female students rarely hadopportunities to learn from and be mentored by female faculty. By comparison
as the layout of a computer graphical interfaceas a metaphor of a desktop). A technological product, especially a tool, is often considered well Page 9.1239.1designed when form follows function, when the structure intuitively suggests the use. Any Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition Copyright © 2004, American Society for Engineering Educationparticular structure can lead to multiple possible functions, and a product made of multiplestructures will have a multitude of possible functions – some intended by the designer, some not.Werner Rammer
offered by Dr.Dave. The original objective of the course was to include classical experiments, research relatedexperiments, and also computer simulated experiments (utilizing various available computersimulation codes and animation techniques). However, the trial course only included a selectednumber of classical experiments and research related experiments. The course development isongoing, and the next offering of the course is planned in Spring 1997. It is anticipated that thelaboratory development will be completed by that time and the course will also include simulatedexperiments. In the following sub-sections, several experiments are described.* These courses, offered as special topics, are in addition to the three courses proposed under
corner of an instructional laboratory.Specialized facilities such as fume hoods, air, gas, water, and electrical service may be nonexistentand expensive to obtain.Library, audiovisual and multimedia resources tend to be less complete at such schools than atdoctoral institutions. Although lack of journals and books in specialized fields can becircumvented by use of interlibrary loans, computer data bases, and relatively new on-linepublications, these involve more delay, aggravation, and cost than having the documents on theshelf and available at a moment’s notice.Faculty sizes within a program may be small, say, a handful vs. scores as at large universities. Thisforces the faculty to handle a million different tasks such as advising, teaching
consideration would provide an alternate pathway to licensure based on a more rigorousengineering experience component and continuing education. This pathway would consist of atleast six years of engineering experience, some of which would need to be under the detailedguidance of a professional engineer serving as a mentor, coupled with a specified number of days(perhaps 30) of “advanced learning” continuing education. The details of mentoring and thecontinuing education requirement are in the process of being defined.The Model Law 2020 engineering education provisions are controversial within the engineeringprofession and among state PE Boards. Although the ratio of master’s degrees to baccalaureatedegrees in the engineering profession has been
needed. A random mapping, arrangedstatically in advance, is frustrated by students who drop the course during the assignment period,or who do not submit their assignments. The result is that some students get reviewed by morereviewers than other students, and some students do not get reviewed at all.We have developed a dynamic strategy that adapts to situations like students dropping the courseor not doing their assigned reviews, to ensure that all students’ work is reviewed byapproximately the same number of other students, and that no students are assigned to reviewtheir own work. The strategy is very similar to the Banker’s Algorithm for allocating resourcesin a computer system. It assigns reviewers in such a way as to maximize the chance
the interrelatedness of the concepts in each ofthese domains. The program is undergirded by a strong and comprehensive mathematicsfoundation. Enhanced usage of computing/visualization technology and an academic environmentspecifically structured to encourage and motivate students to learn are also programmatic features.Reported in this paper are results from an on-going evaluation of this program.I. IntroductionAn educated workforce capable of responding to the diverse demands and complex problems inthis time of rapidly changing world conditions is no longer a preference but a necessity. Eventhough a schooled populace is crucial, an alarming percentage of the students who matriculate intoinstitutions of higher education fail to graduate. Over
the interrelatedness of the concepts in each ofthese domains. The program is undergirded by a strong and comprehensive mathematicsfoundation. Enhanced usage of computing/visualization technology and an academic environmentspecifically structured to encourage and motivate students to learn are also programmatic features.Reported in this paper are results from an on-going evaluation of this program.I. IntroductionAn educated workforce capable of responding to the diverse demands and complex problems inthis time of rapidly changing world conditions is no longer a preference but a necessity. Eventhough a schooled populace is crucial, an alarming percentage of the students who matriculate intoinstitutions of higher education fail to graduate. Over
. Figure 1. ABET organizational structureABET is federation of professional societies, currently consisting of 30 Member Societies andthree Associate Member Societies.4 The Member Societies include 27 professional organizationsrepresenting specific disciplinary curricular areas within the engineering, engineeringtechnology, computing, and applied science professions; plus the National Council of Examinersfor Engineering and Surveying (NCEES) and the National Society of Professional Engineers(NSPE), representing the professional licensure community; and the American Society forEngineering Education (ASEE), representing the education community. ABET’s three AssociateMembers are the Materials Research Society (MRS), the Society of Women Engineers
Research Engineer at the Engineering Applications Center and Adjunct Professor of mechanical engineering in the College of Engineering Technology and Architecture at the University of Hartford, West Hartford, Conn. He holds a master’s of engineering degree in mechanical engineer- ing from the University of Hartford and a bachelor’s of science degree in mechanical engineering from Boston University. His areas of research include computer-aided design and manufacturing, online in- spection/supervision of manufacturing process, and mechatronics design and instrumentation. Page 25.1053.1 c American
, faculty headcounts, faculty salary and retention data for the engineering community. He is PI of a NSF Advanced Technological Education funded grant to build a national data collection for engineering-oriented technician degree and certificate programs at 2-year institutions. Prior to joining the ASEE, he was the senior researcher at the American Association of University Professor and directed their national Faculty Salary Survey. He also developed a technical curriculum to train analysts for a national survey of languages in Ecuador while he was at the University of Illinois as a linguistic data analytics manager and member of their graduate faculty. He has a B.S. in Computer Science & Mathematics, a M.S. in
research interests include decision making under uncertainty and partial information, machine learning, and rein- forcement learning, with applications in healthcare, environmental engineering and sustainability, intelli- gent transportation systems, manufacturing, and maintenance optimization.Dr. Angelica M Palomino, University of Tennessee at Knoxville Dr. Angelica Palomino is an Associate Professor in the Civil and Environmental Engineering Department at the University of Tennessee, Knoxville. She joined UTK in January 2012. Dr. Palomino received her BSCE, MSCE, and Ph.D. from the Georgia Institute of Technology, specializing in Geotechnical Engi- neering. She remained at Georgia Tech for one year as a post-doctoral
communication. 7) While a student may cover one or two additional topics, most of the remaining NCSEA core topics must be learned in graduate school or on the job, including matrix structural analysis, steel II, concrete II, prestressed concrete, wood design, masonry design, and structural dynamics. These courses could make a core curriculum for a M.S. degree in structural engineering. 8) Results from the NCSEA BEC practitioner surveys indicated that students should be able to complete classical structural analysis methods by hand, which is being satisfied by courses typically required at universities. However, university curricula should try to implement computer programming, modeling
Dhaka, both inBangladesh. His main research interests include systems engineering, engineering education, model-based systems engineering (MBSE)/SysML, systems thinking, systems dynamics simulation, andsystems resilience, risk & sustainability management.Dr Ziaul Haque Munim, University of South-Eastern NorwayDr. Munim is Associate Professor at the University of South-Eastern Norway. His main researchinterests include statistical inference, maritime economics and logistics, transport economics, supplychain management and international businessDr. Alexandr M. Sokolov, Arkansas State UniversityDr.Sokolov is a College of Engineering and Computer Science faculty at A-STATE. He holds aB.S., where he focused on Bioinformatics from the University
. E. Brawner, S. M. Lord, J. B. Main, and M. M. Camacho, “Exploring the experiences of first-generation student veterans in engineering,” presented at the CoNECD - The Collaborative Network for Engineering and Computing Diversity Conference, Crystal City, Virginia, Crystal City, Virginia: American Society for Engineering Education, 2018.[8] R. A. Cooper, M. Goldberg, M. Milleville, and R. Williams, “The Experiential Learning for Veterans in Assistive Technology and Engineering (ELeVATE) program,” J. Mil. Veteran Fam. Health, vol. 2, no. 2, pp. 96–100, 2016.[9] M. M. Camacho, S. M. Lord, C. Mobley, J. B. Main, and C. E. Brawner, “Transitions of Student Military Veterans into Engineering Education,” Soc. Sci., vol. 10
modeling for a complex world," 2002.[5] P. M. Senge, The fifth discipline : the art and practice of the learning organization, Revised and updated. New York: Doubleday/Currency, 2006.[6] N. Bouhrira and J. M. Cruz, "System Factors Affecting Underrepresented Minorities in Doctoral Programs in Engineering: A Literature Review," 2021 2021: IEEE, doi: 10.1109/fie49875.2021.9637208. [Online]. Available: https://dx.doi.org/10.1109/fie49875.2021.9637208[7] R. Bronson and C. Jacobson, "Modeling the dynamics of social systems," Computers & mathematics with applications (1987), vol. 19, no. 3, pp. 35-42, 1990, doi: 10.1016/0898- 1221(90)90039-M.[8] J. S. Eccles and A. Wigfield, “Motivational beliefs
self-efficacy with engineering students1 IntroductionIn this research paper, we re-evaluate structural aspects of validity for two instruments, the CurrentStatistics Self-Efficacy (CSSE) scale and the Statistical Reasoning Assessment (SRA) [1, 2]. The CSSE isa self-report measure of statistics self-efficacy while the SRA is a scored and criterion-based assessment ofstatistical reasoning skills and misconceptions. Both instruments were developed by statistics educationresearchers and have been consistently used to measure learning and interventions in collegiate statisticseducation. Our re-evaluation is part of a broader study of the effect of using a reflection-based homeworkgrading system in a biomedical engineering statistics course [3, 4
technology and engineering education) [1]. Regardless ofeducational reforms, curricular shifts, and technological advances over the past century, safety inP-12 engineering education programs has remained relevant and is applicable to moderninterdisciplinary learning environments where engineering learning is occurring, “The woodshop of the past is now seeing new life in makerspaces that cut across various media (e.g.,sewing, metalworking, woodworking, electronics, etc.) with state-of-the-art tools and resources”(p. 868) [2]. Although the emergence of new technologies and processes has spawned improvedsafety features and protocols, there are potential hazards and health/safety risks associated withcurrent tools/equipment and facilities that provide
Ethnic Groups," NSF INCLUDES Coordination Hub Research , 2020.[10] H. Pon-Barry, B. W.-L. Packard and A. St. John, "Expanding capacity and promoting inclusion in introductory computer science: a focus on near-peer mentor preparation and code review," Computer Science Education, vol. 27, no. 1, pp. 54-77, 2017.[11] J.-L. Mondisa, B. W.-L. Packard and B. Montogomery, "Understanding what STEM mentoring ecosystems need to thrive: A STEM-ME framework," Mentoring & Tutoring: Partnership in Learning, vol. 29, no. 1, pp. 110-135, 2021.[12] T. C. Dennehy and N. Dasgupta, "Female peer mentors early in college increase women’s positive academic experiences and retention in engineering," Proceedings of the National Academy of
continues to be a traditionalconceptual airplane design course. This paper will summarize the development of the WVUBalloon Satellites course, as well as describing the recent modifications to the course thathave been implemented for the Spring 2008 semester offering of the course. The WVU Balloon Satellites course has been patterned after similar courses andprojects that were first developed as the BallonSats program at the University of Colorado1.In the Summer of 2002 the first author attended the Boulder BalloonSats workshop with WVNASA Space Grant Consortium Director, Dr. Majid Jaraiedi, to learn about this program anddetermine if a similar project could be offered to students at WVU. After returning to WVU,colleague G. Michael Palmer
schools into smaller theme-based learning communities. This sample is 53% female; racial/ethnic diversity includes 24% Asian, 25% black, 18% Latino, 18% white, 4% other, and 11% bi- or multi-racial; 61% reported using another language other than English at home. Table 2 describes sample demographics by school site. Page 14.961.5Table 2. Sample Demographics by School Site Exam Theme Exam School/ School Theme Theme School/ Math & Health & School/ School
management, program assessment, university-industry partnerships, grant writing, and student development in the co-curricular learning environment with a special focus on recruiting, supporting, and graduating students from groups historically underrepresented in engineering.Dr. David B Knight, Virginia Polytechnic Institute and State University David Knight is an Assistant Professor and Director of International Engagement in the Department of Engineering Education and affiliate faculty with the Higher Education Program, Center for Human- Computer Interaction, and Human-Centered Design Program. His research tend to be at the macro-scale, focused on a systems-level perspective of how engineering education can become more
engineering and is a licensed engineer in the state of Kansas.Dr. Jia G. Liang, Kansas State University Jia Grace Liang is a faculty in the Department of Educational Leadership at Kansas State University (USA). Her research interests focus on school leadership, professional development and learning in STEM, equity for women and racial minorities, and leadership for community engagement. She holds a PhD from the University of Georgia in Educational Administration and Policy.Dr. Eric J. Fitzsimmons, Kansas State University Dr. Eric Fitzsimmons, P.E. is an assistant professor in the civil engineering department at Kansas State University. He received his B.S., M.S., and Ph.D. degrees in Civil Engineering with a specialization
Manager at General Motors, Cadnetix, and Motorola. His interests include engineering management, technological literacy, improving the competitiveness of American companies, and real-time embedded systems.Dr. Donald C. Richter P.E., Eastern Washington University DONALD C. RICHTER obtained his B. Sc. in Aeronautical and Astronautical Engineering from The Ohio State University, M.S. and Ph.D. in Engineering from the University of Arkansas. He holds a Professional Engineer certification and worked as an Engineer and Engineering Manger in industry for 20 years before teaching. His interests include project management, robotics /automation, Student Learning and Air Pollution Dispersion Modeling.Prof. Jason K. Durfee P.E
enjoys learning through making. This is furtherdeveloped by her friends inviting her to join them in their makerspaces, whether to build or tostudy. This causes her to be involved in making across the different makerspaces on campus.Gold starts off with exposure to making from her father who introduces her to building-blockswhich sparks her involvement in making. While her making experience before university aremostly computer-based making, she seeks out places and classes where she can make, getsintroduced to 3D printers, and then eventually gets involved in the makerspace through a friend’sintroduction. From there, she gets more involved via taking on more responsibilities in the spaceand learning more about the machines.Overall, there is not
Tennessee State University.Dr. Aubrie Lynn Pfirman, Clemson University Aubrie L. Pfirman is a Teaching Consultant for the Office of Teaching Effectiveness and Innovation at Clemson University. Her research interests are chemical education, scholarship of teaching and learning, educational development, inclusive educational practices and reform, and STEM education. Dr. Pfirman received a B.S. in Chemistry and an Instructional I Certification in Secondary Education from Miseri- cordia University, and both an M.S. in Chemistry and Ph.D. in Engineering and Science Education from Clemson University. c American Society for Engineering Education, 2019