Safety Award in 2002, the Lockheed Martin Outstanding Team Award in 1998, the MBA Fellowship from 1994-1995 and multiple technical and suggestion awards from IBM from 1986 to 1993.Mike Pennotti, Stevens Institute of Technology Michael Pennotti is Industry Professor and Associate Dean for Professional Programs, for the School of Systems and Enterprises, Stevens Institute of Technology. As a systems engineering leader for more than thirty years, Dr. Pennotti has broad experience with both technical and organizational systems. He spent the first twenty years of his career at Bell Laboratories, designing, analyzing and improving the operational performance of three generations
Assessment of Engineering Education," Journal of Engineering Education Vol. 93, No. 1, 2004, pp. 65-72.[14] Malone, K.R., W.C. Newstetter, and G. Barabino, "Special session - valuing diversity as it happens: exploring laboratory interactions where more is going on than science," 36th ASEE/IEEE Frontiers in Education Conference, San Diego, CA, 2006.[15] Olds, B.M., B.M. Moskal, and R.L. Miller, "Assessment in Engineering Education: Evolution, Approaches and Future Collaborations," Journal of Engineering Education Vol. 94, No. 1, 2005, pp. 13-25.[16] Prince, M.J., R.M. Felder, and R. Brent, "Does faculty research improve undergraduate teaching? An analysis of existing and potential synergies," Journal of Engineering
. While novel programs in engineering educationbegan receiving NSF funding in the 1970s 6, the early 1980s saw increased support forengineering as a field separate from the other sciences. In 1980, NSF’s education directorate wasdisbanded as part of the “Reagan Revolution.” However, in 1986, a National Science BoardTask Force report discussed the crucial need for quality faculty and instruction in STEM fields atthe undergraduate level, which would enable graduates to contribute to the STEM industry. This“Neal Report” charged the NSF to create a set of funding programs that would improve STEMeducation by recruiting quality faculty and students, developing innovative curricula, andimproving laboratories 7. Precursors to the engineering coalitions
processeswhich occur in capstone design courses and guides analysis of a student’s ability to communicatethe process of engineering design. In this framework the design process is completed in fivesteps: 1) A student’s initial learning occurs through interactions with the faculty and teaching assistants (experts) in a social setting- the design class or lab. This type of learning is collective and public and represented by Quadrant #1. Students first seek to understand the design process and their project through social interactions in the classroom, laboratory, or within a team. 2) Next the team analyzes the design project and breaks it down to component tasks. At this stage students become individually responsible for particular
TUES program solicitation explicitlysupports such aims.The purpose of this analysis is to study NSF’s Transforming Undergraduate Education in STEM(TUES) program to understand the engineering education community’s views on transformationand change. TUES and its predecessor, Course, Curriculum and Laboratory Improvement(CCLI), have been an influential and substantial source of funding for U.S. undergraduate STEMeducation change since 199015. For example, CCLI’s emphasis on project evaluation, coupledwith outcomes-based assessment driven by ABET’s EC2000 criteria, is a strong example of howpolicy can influence practice in engineering higher education. This paper also informsprospective PIs of program expectations, provides baseline data for
complex problems that canbe solved by applying the desired content. Many of the modules that came out of VaNTH’sresearch and curriculum development endeavor3, 7, 12 exemplify this approach. For example,Linsenmeir et al. 11, challenged students to determine “how much food is needed by an astronautper day for a two week space mission in order to satisfy metabolic demands and not gain or loseweight” (p. 213). In this case, students that learned the content in the context of the challengingproblem were better able to apply the concepts to novel situations and more engaged than thosestudents that received more traditional instruction and laboratory activities. More broadly,students in classes that enact VaNTH’s engineering modules that contextualize
industry.James C. Squire, Virginia Military Institute James Squire is a Professor of Electrical Engineering at the Virginia Military Institute. He received a B.S. in Electrical Engineering from the United States Military Academy in West Point, NY and served in the army as a Military Intelligence officer during Desert Storm. Although his PhD is in electrical engineering, he completed his doctoral work in a biomedical engineering laboratory at MIT and has interests in analog and digital instrumentation, signal processing, biomechanics, patent litigation, and cardiology. At VMI he teaches analog electronics, continuous time and discrete time signal processing, and advises a variety of independent study projects.George M. Brooke
development and humancomputer interaction research.Alice Merner Agogino, University of California, Berkeley Alice M. Agogino is the Roscoe and Elizabeth Hughes Professor of Mechanical Engineering and affli- ated faculty at the Haas School of Business in their Operations and Information Technology Management Group. She directs the Berkeley Expert Systems Technology /Berkeley Energy and Sustainable Technolo- gies (BEST) Laboratories, the Berkeley Instructional Technology Studio (BITS) and is working to develop a Service Learning Media Lab and Design/Prototyping Studio in the new CITRIS building. She served as Chair of the Berkeley Division of the Academic Senate in 2005-06, having served as Vice Chair during the 2004-05
. Basic and Applied Social Psychology, 30, 208-218.11. Spade, J. Z., Columba, L., & Vanfossen, B. E. (2007). Tracking in mathematics and science: Courses and course selection procedures. In J. H. Ballantine & J. Z. Spade, Eds. In Schools and society: A sociological approach to education, (3rd ed.), pp. 286-297. Thousand Oaks, CA: Sage.12. Larimore, J.A., & McClellan, G.S. (2005). Native American student retention in U.S. postsecondary education. New Directions for Student Services, 109, 17-32.13. Nelson-Barber, S., & Estrin, E.T., (1995). Culturally responsive mathematics and science education for Native American students. San Francisco, CA: Far West Laboratory for Educational Research and Development.14. Jacobs, J
15.344.123) Program-level decisions this finding could affectGroup # Comments Group # Comments ** Credit for 1) Study abroad; 2) internships; 3) independent study - serviceGroup 1 no answer Group 10 projects. 1) ensure problem-solving skills in courses for every semester of the curriculum, 2) promote student organizations, 3) sponsor travel to competitions and field ** Retuning the course curriculum withGroup 2 trips, 4) esure handss-on laboratory
. Accessed Nov 2009. 4. Louisiana State University Engineering Communication Studio. Accessed January 2010. 5. Oklahoma State University School of Electrical and Computer Engineering. Accessed Nov 2009. 6. Alley, M. "The Craft of Scientific Presentations: Critical Steps to Succeed and Critical Errors to Avoid". New York, NY: Springer-Verlag, 2007.7. University of Arkansas Department of Mechanical Engineering, "Oral Presentation Evaluation Form." Accessed Jan 2010. .8. University of Illinois and University of Wisconsin. "Checklists for presentations Writing Guidelines for Assignments in Laboratory and Design Courses", 1998, Accessed Jan 2010. 9. Utah State University Department of Engineering and
AC 2010-2137: OPEN-BOOK VS. CLOSED-BOOK TESTING: ANEXPERIMENTAL COMPARISONLeticia Anaya, University of North Texas Leticia Anaya, M.S. is a Lecturer in the Department of Engineering Technology at the University of North Texas College of Engineering. She is currently working in her PhD in Management Science at the University of North Texas. She received her M.S. in Industrial Engineering from Texas A&M University. Her research and teaching interests include Thermal Sciences, Statistics, Quality Assurance, Machine Design, Simulation and Educational Teaching Methods. She has published previously in ASEE Conferences and has developed three laboratory manuals in the following areas
toincorporate the Curriculum of Connections, but it is not the only one and may not be the mosteffective one for a given institution’s system.PCM provides a language to describe how educational objectives, instructional strategies, andassessment relate back to the overarching criteria required by a system. For example, thetraditional engineering program can be described and analyzed as follows: The Core and Practice curriculums are taught in the first years with science, math and computer science requirements. Engineering Core and Practice are introduced in the sophomore year through introductory courses and laboratories. Design classes and co- ops, which students attend in the last years, provide environments that require
25 (17.2%) 27 (18.6%) 42 (29.0%) 51 (35.2%) 2.18 (1.10)Short collaborative active learning activities in lecture, 22 (15.0%) 30 (20.4%) 45 (30.6%) 50 (34.0%) 2.16 (1.06)such as working in pairs on a problemDiscuss sociotechnical issues, such as climate change 13 (9.0%) 39 (27.1%) 50 (34.7%) 42 (29.2%) 2.16 (0.95)or internet security, to contextualize course contentIn-class demonstrations for other purposes 18 (12.9%) 28 (20.0%) 50 (35.7%) 44 (31.4%) 2.14 (1.01)Labs, designed to strengthen experimental skills 31 (21.4%) 22 (15.2%) 26 (17.9%) 66 (45.5%) 2.12 (1.21)Laboratory reports
student success inengineering by removing the first-year bottleneck associated with the traditional freshmancalculus sequence.The first-year engineering math course, Introductory Mathematics for Engineering Applications,included lecture and collaborative laboratory and recitation components. The course addressesonly the math topics used in core engineering courses such as physics, engineering mechanics,electric circuits and computer programming sequences. Using an application-oriented, hands-onproblem-based learning approach, it replaced traditional math prerequisite requirements for theaforementioned core courses in order for students to advance in the curriculum without firstcompleting a traditional first-year calculus sequence. This structure
Paper ID #34305Test Anxiety and Its Impact on Diverse Undergraduate EngineeringStudents During Remote LearningDr. David A. Copp, University of California, Irvine David A. Copp received the B.S. degree in mechanical engineering from the University of Arizona and the M.S. and Ph.D. degrees in mechanical engineering from the University of California, Santa Barbara. He is currently an Assistant Professor of Teaching at the University of California, Irvine in the Department of Mechanical and Aerospace Engineering. Prior to joining UCI, he was a Senior Member of the Technical Staff at Sandia National Laboratories and an
documents that successful course completion is lower in online courses than intraditional face-to-face courses [21]. Both course completion rates and withdrawals are worse inSTEM courses [22], particularly in lower level STEM courses [23]. A lack of engagement andlower successful completion rates have been shown in online physics courses [24] as reported byMurphy and Stewart. Murphy and Stewart used eight years of data with 3,032 students tocompare face-to-face lecture courses with three semesters of a hybrid course with online lecturesand face-to-face laboratories. They found that there was a 11% lower successful completion rate(A/B/C) for students in the hybrid course compared to the solely face-to-face course. Thesefindings in STEM courses are
) Learning Laboratory, a design-oriented facility that engages students in team-based, socially relevant projects. While at Texas A&M University Imbrie co-led the design of a 525,000 square foot state-of-the-art engineering education focused facility; the largest educational building in the state. His expertise in educational pedagogy, student learning, and teaching has impacted thousands of students at the universities for which he has been associated. Imbrie is nationally recognized for his work in ac- tive/collaborative learning pedagogies, teaming and student success modeling. His engineering education leadership has produced fundamental changes in the way students are educated around the world. Imbrie has been a
. 2017.[3] S. Jaikaran-Doe, A. Henderson, E. Franklin, and P. Doe, Strategies for promoting cultural diversity within student laboratory groups in an engineering degree course at an Australian uni ersit , Australasian Association for Engineering Education Annual Conference 2018, Hamilton, New Zealand.[4] M. V. Jamieson and J. M. Sha , Appl ing Metacogniti e Strategies to Teaching Engineering Innovation, Design, and Leadership, Proceedings of the Canadian Engineering Education Association, 2017.[5] S. Beecham, T. Clear, J. Barr, M. Daniels, M. Oudshoorn, and J. Noll, Preparing Tomorro s Soft are Engineers for Work in a Global En ironment, IEEE Software, vol. 34, no. 1, pp. 9 12, Jan. 2017.[6
. 2019, Accessed: Mar. 07, 2021. [Online]. Available: https://peer.asee.org/using-natural- language-processing-tools-on-individual-stories-from-first-year-students-to-summarize-emotions-sentiments- and-concerns-of-transition-from-high-school-to-college.[25] M. Szoke, A. Borgoltz, M. S. Kuester, N. Intaratep, W. J. Devenport, and A. Katz, “The Development of Remote Laboratory Sessions at the Stability Wind Tunnel of Virginia Tech During the Coronavirus Pandemic,” in AIAA Scitech 2021 Forum, American Institute of Aeronautics and Astronautics.[26] J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova, “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,” Oct. 2018, Accessed: Nov. 05, 2020. [Online
laboratories community through Twitter connections," Twitter for research handbook, 2015, [Online]. Available: http://www.academia.edu/download/41349806/Massimo.Menichinelli_MakerLaboratoriesCommunit y_on_Twitter_PREPRINT_HIRES.pdf.[15] V. Wilczynski, "A Classification System for Higher Education Makerspaces," 2017.[16] M. B. Jensen, C. C. S. Semb, S. Vindal, and M. Steinert, "State of the Art of Makerspaces - Success Criteria When Designing Makerspaces for Norwegian Industrial Companies," Procedia CIRP, vol. 54, pp. 65–70, Jan. 2016.[17] E. Mañas Pont, "Analysis and comparison of representative locations in the general makerspace panorama," Universitat Politècnica de Catalunya, 2014.[18] Craig Forest, Ms. Helena Hashemi
Design of Integrated Circuits and Systems Special Issue on Design Quality and Design Closure: Present Issues and Future Trend”, 2005. He also served as the Guest Editor of the Microelectronics Journal on Quality Electronic Design, 2005. His research interests include VLSI circuit and system design, CAD methodology for VLSI design, and bioelectronics.Prof. Branislav M. Notaros, Colorado State University Branislav M. Notaros is Professor and University Distinguished Teaching Scholar in the Department of Electrical and Computer Engineering at Colorado State University, where he also is Director of Electro- magnetics Laboratory. His research publications in computational and applied electromagnetics include more than 180
spaces andbringing project-based learning pedagogies and hands-on laboratory experiences to theirundergraduate engineering programs. There is a tension rooted in ABET accreditation standards(current and proposed) for what is expected to be taught in computing and engineeringundergraduate programs, how to assess and what values about our enterprise of engineeringeducation.Under thematic analysis this study used ABET criteria as a framework for coding artifactelicitation interviews used to collect the stories of Young and Adult Makers about the skills theyused to create artifacts displayed at Maker Faires. A total of 36 self-identified Young Makers,age 12-17, and 40 Adult Makers, age 18-60+, were sampled purposefully and stratified byexperience
-based grading feedback,” in Proc. 48th ASEE/IEEE Frontiers in Education Conference, San Jose, CA, 2018.[7] R. J. Marzano, Formative Assessment and Standards-Based Grading. Bloomington, IN: Marzano Research Laboratory, 2010.[8] P. L. Scriffiny, “Seven reasons for Standards-Based Grading,” Educational Leadership, vol. 6, no. 2, pp. 70-74, 2008.[9] S. L. Post, “Standards-based grading in a fluid mechanics course,” in Proc. American Society for Engineering Education Conference & Exposition, Indianapolis, IN, 2014.[10] S. Atwood, M. Siniawski, and A. Carberry, “Using standards-based grading to effectively assess project-based design courses,” in Proc. American Society for Engineering Education
an undergraduate he studied hardware, software, and chemical engineering. He ultimately received his Ph.D. from Oregon State University in Chemical Engineering. He is currently interested in the development of technology to study and promote STEM learning.Dr. Debra May Gilbuena, Unaffiliated Debra Gilbuena has an M.BA, an M.S, and four years of industrial experience including a position in sensor development. Sensor development is also an area in which she holds a patent. She has engineering education research focused on student learning in virtual laboratories and the diffusion of educational interventions and practices.Dr. Jeffrey A Nason, Oregon State University Jeff Nason is an associate professor of
Engineering Students and their Implications for Successful Teaching with Instructional Technology, British Journal of Engineering Education, UK, Vol. 5, No. 1, pp. 29-42.8. Anderson, E., Chandrashekar, N., Hashemi, J., & Kholamkar, S., (2006). Web-based Delivery of Laboratory Experiments and Its Effectiveness Based on Student Learning Style. Proceedings of the 2006 ASEE Annual Conference and Exposition, Chicago, IL, June 18-21, 2006.9. Zywno, M.S., & Stewart, M.F., (2004). Online Control Systems Tutorials. The module received Honourable Mention in 2005 competition for the COU/OPAS Award for Excellence in Teaching with Technology. Online at: [Accessed January 10, 2007].10. Digital Media Projects Office, Ryerson
design course. As is the nature of thecourse, future semesters will experience incremental changes. We intend on increasing theinteraction with video material by making available more videos to build a larger archive ofreference material. In the present semester, we are video-recording laboratory sections in whichwe are teaching the effective use of software packages, such as Mathworks Matlab and AliasMaya. We intend on evaluating the availability of this reference material by comparing studentperformance to prior semesters.References[1] Abowd, G.D., Atkeson, C.G., Feinstein, A., Hmelo, C., Kooper, R., Long, S., Sawhney, N., Tani, M. Teaching and Learning as Multimedia Authoring: The Classroom 2000 Project. In Proceedings of the ACM
where group work was encouragedin the laboratory but beyond that students were not provided with context to work in groups. Infact, to a large extent students were asked to work on their homework separately. Thus the socialdynamic in physics and engineering was quite different.The results of the interviews with physics faculty members indicated that the faculty memberswere more likely than the students to see similarities and connections between the problems onthe Electromagnetics exam and the physics problems that they cover in their courses. Thephysics faculty members pointed to three major differences between the problems inElectromagnetics and physics. First, they observed that the mathematical formalism was moresophisticated in the
systemicchange model in engineering education and its relevance for women Paper presented at the annual meetingof the American Society for Engineering Education. Montréal, Quebec, Canada.8- Tien, L. T., Roth, V., & Kampmeier, J. A. (2002). Implementation of a peer-led team learninginstructional approach in an undergraduate organic chemistry course, Journal of Research in ScienceTeaching, 39(7), 606-632.9- Morgan, J., Kenimer, A., Kohutek, T., Rinehart, J., & Lee, M. (2002). Peer teacher from an instructor’sperspective, Paper presented at the 32nd Frontier in Education Conference, Boston, MA.10- Yeary, M, Tian-You, Y., Palmer, R., Biggerstaff, M., Fink, L. D., Ahern, C., & Tarp, K. P. (2007). Ahands-on, interdisciplinary laboratory program
received the BS degree in electrical engineering from Rutgers University in 1968 and the MS and Ph.D. degrees in electrical engineering from the University of Colorado, Boulder in 1970 and 1974 respectively. Prof. Olsen has been a member of the electrical engineering faculty at Washington State University since 1973. During that time he has been a visiting scientist at GTE Laboratories in Waltham, MA, at ABB Corporate Research in Västerås, Sweden and at EPRI in Palo Alto, CA and a Visiting Professor at the Technical University of Denmark. His research interests include electromagnetic interference from power lines, the electromagnetic environment of power lines