Paper ID #41180Exploring the Evolution of Engineering Doctoral Students’ Academic andCareer Goals in the First Year of Graduate SchoolGabriella M. Sallai, Pennsylvania State University Gaby Sallai is currently a graduate student in the Mechanical Engineering department at Penn State. She is working under Dr. Catherine Berdanier in the Engineering Cognitive Research Laboratory (ECRL) studying the experiences of engineering graduate students. She received her Bachelor’s degree from Franklin & Marshall College in Physics and Women & Gender Studies.Catherine G. P. Berdanier, Pennsylvania State University Catherine
Jose State University and a Master of Science in Biological Sciences from Illinois State University.Prof. Jose E Castillo, San Diego State University Dr. Castillo is the Founder and Director of the Computational Science Research Center and the Computational Science Program at SDSU. The Center, founded in 1999, facilitates cooperation between the university and industry as well as national laboratories. The center involves participation of researchers from applied mathematics, astronomy, biology, chemistry/biochemistry, computer science, geology, mathematics and statistics, physics, geophysics, and engineering. Dr. Castillo also created the MS in Computational Science in 1999 and the Ph.D in Computational Science in
, and her PhD Bioengineering degree from the University of Washington. Between her graduate degrees, she worked as a loop transmission systems engineer at AT&T Bell Laboratories. She then spent 13 years in the medical device industry conducting medical device research and managing research and product development at five companies. In her last industry position, Dr. Baura was Vice President, Research and Chief Scientist at CardioDynamics. She is a Fellow of the American Institute of Medical and Biological Engineering (AIMBE).Ms. Francisca Fils-Aime, Loyola University, Chicago Francisca Fils-Aime is currently a doctoral student at Loyola University Chicago in the Research Methodology program. She is also a Senior
accompanying laboratory course that utilized bothtraditional and inquiry-based activities. Both the course and lab are required for third-yearstudents completing the mechanical engineering concentration and are taught annually at a smallliberal arts university.Each year, students completed the Heat and Energy Concept Inventory (HECI), hosted online atthe AIChE Concept Warehouse, as both a pre- and a post-test for the course. Statisticallysignificant differences were found between the pre/post mean responses for the completeinventory as well as the inventory’s content areas. In addition, statistically significant differencesbetween pre/post mean responses in a given year are considered in light of any substantialchanges to the course material and/or
Institute for Systems Research. Prof. Sochol directs the Bioinspired Advanced Manufacturing (BAM) Laboratory, which pioneers micro/nanoscale additive manufacturing or “3D Printing” approaches to solve mechanically and physically complex challenges, with an emphasis on biomedical applications. Prof. Sochol has developed and teaches two courses: (i) a dual undergraduate-graduate-level “Additive Manufacturing” course, and (ii) an undergraduate-level course, entitled “The Legend of Zelda: A Link to Machine Design”. Prof. Sochol received his B.S. in Mechanical Engineering from Northwestern University in 2006, and both his M.S. and Ph.D. degrees in Mechanical Engineering from the University of California, Berkeley, in 2009 and
concerns and family responsibilitiesas key factors affecting students’ mental well-being, with many students juggling multiple responsibilities alongsidetheir academic pursuits ([34]).Development of rPPG Technology In the development of rPPG technologies, significant challenges arise in real-time data acquisition and processing,particularly when integrating with systems like LLMs. One of the key challenges has been adapting rPPG algorithmsto work effectively across diverse demographics and in various environmental conditions, as traditional connectedPPG algorithms often focus on homogenous subject groups in stationary laboratory settings. Recent advancementsin rPPG have enhanced its accuracy and adaptability, particularly in varied environmental
of configuration management and configurationcontrol as practiced in spacecraft systems management. Configuration management is a processthat makes people involved in changing a design of a spacecraft aware of what this change isgoing to affect and what its consequences are. The Jet Propulsion Laboratory over time learnedby experience the typical profile of engineering changes and, consequently, how better to predictcost and schedule17
collaborative NSF-funded Gender in Science and Engineering project investigating persistence of women in engineering undergraduate programs. Dr. Lord’s industrial experience includes AT&T Bell Laboratories, General Motors Laboratories, NASA Goddard Space Flight Center, and SPAWAR Systems Center. She served as the President of the IEEE Education Society in 2009 and 2010.Matthew W. Ohland, Purdue University, West Lafayette Matthew W. Ohland is Associate Professor of Engineering Education at Purdue University. He has de- grees from Swarthmore College, Rensselaer Polytechnic Institute, and the University of Florida. His research on the longitudinal study of engineering students, team assignment, peer evaluation, and active
Hassan, Universiti Teknologi MalaysiaMohammad Zamry Jamaludin, Universiti Teknologi Malaysia (UTM) Mohammad Zamry is a tutor at the Department of Chemical Engineering, Faculty of Chemical Engineer- ing,Universiti Teknologi Malaysia (UTM), since 2007. He is one of the class facilitators for a third-year chemical engineering course, Process Control and Dynamics, that employs cooperative problem-based learning (CPBL) as the teaching and learning methodology. He also implements CPBL lab for Process Control Laboratory, a lab course for the final year students. Mohammad Zamry is an active member of engineering education research team in UTM. The team is now very progressive in doing research re- lated to cooperative
AC 2011-2181: RE-DESIGNING CAPSTONE DESIGN: TWO YEARS OFEXPERIENCECameron J Turner, Colorado School of Mines Dr. Cameron Turner is an Assistant Professor of Engineering at the Colorado School of Mines where he runs the Design Innovation and Computational Engineering Laboratory. At CSM he teaches undergradu- ate and graduate courses in engineering design and is a member of the Senior Design Leadership group. Dr. Turner is currently the course coordinator for the Engineering Capstone Design program and is active in the Computers and Information in Engineering Division of ASME. Page 22.1213.1
student acquisition of data in physics learning cycles. J. Res.Sci. Teach. 1985, 22 (4), 303-25.22. Hall, D. A.; McCurdy, D. W., A comparison of a biological sciences curriculum study (bscs) laboratory anda traditional laboratory on student achievement at two private liberal arts colleges. J. Res. Sci. Teach. 1990, 27 (7),625-36.23. Renner, J. W.; Paske, W. C., Comparing two forms of instruction in college physics. American Journal ofPhysics 1977, 45 (9), 851-859.24. Spencer, J. N., New directions in teaching chemistry: A philosophical and pedagogical basis. J. Chem.Educ. 1999, 76 (4), 566-569.25. Hanson, D.; Wolfskill, T., Process workshops - a new model for instruction. J. Chem. Educ. 2000, 77 (1),120-130.26
software‘s capabilities as well as applications of thesoftware.4.5.7 Structure of the open source SDR/CR community and participants’ involvementOpen source projects develop a wide range of software and can be organized in various ways.Some software projects are largely efforts of corporations, such as OpenOffice.org, led byOracle. Non-profit organizations also host projects, such as Firefox from Mozilla. Other projectsare based at universities, small businesses, or government laboratories. The degree ofcommunity participation varies from project to project; some projects are primarily efforts of a Page 22.1548.13single organization, while others draw
ABET.Dr. Neeraj Buch, Michigan State UniversityRene S DeGraaf, Lansing Community College Tutoring Services Coordinator, Learning Assistance Department 1990 - presentJon Sticklen, Michigan State University Jon Sticklen is the Director of the Center for Engineering Education Research at Michigan State Univer- sity. Dr. Sticklen is also Director of Applied Engineering Sciences, an undergraduate bachelor of science degree program in the MSU College of Engineering. He also is an Associate Professor in the Department of Computer Science and Engineering. Dr. Sticklen has lead a laboratory in knowledge-based systems focused on task specific approaches to problem solving. Over the last decade, Dr. Sticklen has pursued en
, Curriculum and Laboratory Improvement Program, now Transforming Undergraduate Education in Science, Technology, Engineering and Mathematics or TUES Page 22.314.2 Study students' problem solving strategies and extend the use of MEAs to specific aspects of undergraduate reasoning and problem-solving, Determine solution paths first-year engineering students use in solving MEAs, Execute a comprehensive dissemination and infusion effort, and Develop a comprehensive research agenda for models and modeling in undergraduate educa- tion.In particular, we are extending MEA implementation and complementary student and faculty as
, andengage in highly structured “cookbook” type laboratory activities, PBL is open-ended andcontextualized, where student learning is driven by the problem itself.While a number of different approaches to PBL have been described in the literature since firstbeing introduced in medical schools in the 1970s, they all share the same basic learningprocess10. Working in small teams, students learn “how to learn” by engaging in a recursiveprocess that includes problem analysis, independent research, brainstorming, and solutiontesting. Figure 1 – Problem solving cycleIn PBL, students are presented with an open-ended problem with little or no content preparation.Working in small teams, they collaboratively reflect upon prior
that "Yes, now it feels like an F-80!" but some of their feedback pressure calibrations varied over a nearly ten to one range! Part of this was due to simulating the various center of gravity conditions and the pilot's setting of the simulated trim tabs. e.) DECISION: Since diversity of pilot opinion was part of what the Air Force Aeromedical Laboratory wanted to explore and quantify, they were pleased. We altered the simulator to make dial-in changes easier and then put it in a long test and/or modification program. Page 4.525.93 This was before the era of “OP-amps” (operational amplifiers
Page 2.337.4user actions, during interactions with the software [9]. Log file analysis is attractive for at leasttwo reasons: the data is cheap since data gathering can be totally automated and the data isecologically valid since it can be collected outside of the laboratory while the user is engaged inreal tasks [10]. Raw log file data can be manipulated to provide information on unique events,sequences (orderings) of events, and the duration of events [9]. The grain size of the analysisthat can be conducted with log files is constrained by the size and types of events which arebeing recorded. In our case, we used Web log files generated automatically by the web server.Web log files contain a single line for each hit (i.e., a request for a
, communications, medical field, manufacturing, transportation engineering, amongst others. Dr. Georgiopoulos is a Director of the Machine Learning Laboratory at UCF.Cynthia Young, University of Central Florida Cynthia Young is a Professor in the Department of Mathematics in the UCF College of Sciences and a Co-PI of the NSF-funded S-STEM program at UCF entitled the "Young Entrepreneur and Scholar(YES) Scholarship Program" as well as the NSF-funded STEP program entitled "EXCEL:UCF-STEP Pathways to STEM: From Promise to Prominence." Dr. Young's research interests are in the mathematical modeling of atmospheric effects on laser beams. She currently has projects with the Office of Naval Research
Guide to Criterion-referenced Test Development, Page 15.1110.16 Validation, and Test Score Usage, Laboratory of Psychometric and Evaluative Research Report No. 70, School of Education, University of Massachusetts, Amherst, MA, 1978, pp. 61-66.13. Osterlind, S.J., Constructing Test Items: Multiple Choice, Constructed Response, Performance, and Other Formats, Second Edition, Kluwer Academic, Norwell, MA, 1998, pp. 59-66, 83-88, 107-159, 163-202.14. McDonald, M.E., Systematic Assessment of Learning Outcomes: Developing Multiple-Choice Exams, Jones and Bartlett, Sudbury, MA, 2002, pp. 83-116, 119.15. Miller, P.W
innovative experimentation is always well informed byDiscipline Competencies and domain knowledge, but innovative experimentation is not limitedto the laboratory. Particularly in the three dimensional conception of innovation which wepropose, in an Engineering education context, innovative experimentation draws heavily on theinformative power of modeling in the Systems Competencies. Innovative experimentation seeksto test the various elements of innovation: the problem, the solution, the stakeholders, and theirsatisfaction. Discipline Competencies and domain knowledge enable experimenting withcompetency in how to experiment. Systems Competencies both enable experimenting throughthe application of modeling techniques, and are informed and supported
Aerospace Engineering which he hopes to complete by 2015. Fabian has been working in the Integrated Product Lifecycle Engineering (IPLE) Laboratory and has been involved in a variety of research as an undergraduate. Some of his research includes leading a team of undergraduate students from three universities, testing multi-user CAx tools developed under a NSF grant. Fabian has also been involved in the MENTOR project funded by DARPA which is designed to engage and interest high school students in the STEM areas. Fabians research interests include fixed-wing and rotorcraft design as well as the inclusion of Computer Aided Engineering (CAE) tools in the systems engineering process. He is also studying the impact of global
. Safely applies laboratory, test and experimental procedures appropriate to the engineering discipline.(c) an ability to design a system, 2.1 d, g and i) Competently addresses engineering problems involving uncertainty, ambiguity,component, or process to meet desired imprecise information and wide-ranging and sometimes conflicting technical and non-technicalneeds within realistic constraints such as factors. Identifies, quantifies, mitigates and manages technical, health, environmental, safety andeconomic, environmental, social, other contextual risks associated with engineering application in the designated engineeringpolitical, ethical, health and safety
research can promote retention for a variety of reasons. V. Tinto et. al.1 reportedthat students often fail to graduate due to a lack of persistence, rather than due to lack ofintelligence or ability. Being familiar with “hands-on” technology in a laboratory where theybecome familiar with current equipment boosts self-confidence2. Participation in research groupscan promote persistence in a variety of ways, in part by increasing personal attachment to theresearch group and the research objectives. Secondly, the mentoring process inherent in therelationship between the research supervisor and the student researchers permits identification ofproblems at critical junctures. Finally, the student researchers can learn important skills that willpromote
institutions (UPRM, Penn State University and the University ofWashington in collaboration with Sandia National Laboratories and industry) to developan undergraduate product realization/manufacturing engineering option the partnerscalled the Learning Factory, an outcomes-based undergraduate curriculum integratinglaboratory facilities and industry partnership. The Learning Factory was successfullyinstitutionalized at the three partner institutions by 1997. Under the leadership of AlSoyster and John Lamancusa from Penn State, the program had a significant impact atUPRM, on its faculty, students and partners. I was fortunate enough to lead thecurriculum development activity at UPRM and the system-wide outcomes assessmentstrategy.One of the most
experiences of students entering engineering and (2) the trends in higher education to reduce laboratory experiences in curricula. The CEPCTC believes that it is critical that future civil engineers have a strong physical understanding of the materials and systems they will design and manage.• Technical Breadth: The existing CEPC only require students to apply knowledge of four technical areas appropriate to civil engineering. The proposed CEPC require that students analyze and solve well-defined problems in at least four technical areas appropriate to civil engineering. The change represents a higher cognitive level in Bloom’s taxonomy. The significance of this change is minor, if at all. The requirement to apply knowledge
continuing advances in technology, far more resources and tools are available toinnovators and entrepreneurs than in the past. This results in countless opportunities for newapplications and services to be created as well as for existing applications and processes to berevolutionized. Not only have the tools changed, but so has the route to innovation and, with it,society’s ideal image of the value creators. In the early 1900s, large companies such as IBM,Xerox and AT&T leveraged their resources to form research laboratories that invested millionsof dollars in infrastructure, facilities, and personnel. Out of these investments, they were able tocreate structured research groups who then brought about breakthrough-enabling technologiessuch as the
Paper ID #8702Strategies for using on-line practice problemsDr. Jess W. Everett, Rowan University Jess W. Everett has worked in four distinct areas: waste management operations research, contaminated site assessment and remediation, education innovation, and sustainable engineering. He has employed a wide variety of techniques, including computer modeling, laboratory experiments, field testing, and surveys. His current research focuses on energy conservation, alternative energy generation, engineering learning communities, and hybrid courses (courses with classroom and on-line aspects).Ms. Kaitlin Engle Mallouk, Rowan
university education. Perhaps this is most clearly evident in the type ofengineers certain companies employ and perhaps the statistics on employment may show a biastowards employing graduates from particular institutions in specific industry sectors. Educators have reported on the benefits of experiential, hands-on, student-directed learning[1-4] and the effects of design courses in engineering [5]. Engineering educators have used field Page 24.1198.2trips, laboratory investigations, and interdisciplinary activities that enrich and extend thecurriculum [6, 7]. Such designing of authentic experiences into courses and curricula are