School of Engineering Educa- tion at Purdue University. His research interests include creating systems for sustainable improvement in engineering education, conceptual change and development in engineering students, and change in fac- ulty beliefs about teaching and learning. He serves as the Publications Chair for the ASEE Educational Research and Methods Division.Dr. Marcia Pool, University of Illinois, Urbana-Champaign Dr. Marcia Pool is a Teaching Associate Professor and Director of Undergraduate Programs in the Depart- ment of Bioengineering at the University of Illinois at Urbana-Champaign (UIUC). She has been active in improving undergraduate education including developing laboratories to enhance experimental
engagement with those ideas. c American Society for Engineering Education, 2019 Engineering Design In Scientific InquiryAbstractThe Engineering Design in Scientific Inquiry (EDISIn) Project addresses the engineeringpreparation of secondary science teachers by embedding engineering design into a science coursefor single-subject STEM education majors (future secondary teachers), and developing asequence of lesson plans and annotated video for faculty who seek to embed engineering designin their science courses. While undergraduate laboratories are rich with designed experimentalapparatus, it is rare that students themselves play a role in designing and producing artifacts inthe service of
.20227Kitto, K. L. (1998). Innovative research and laboratory experiences for undergraduate students. In Frontiers in Education Conference, 1998. FIE’98. 28th Annual. IEEE.Landis, R. B. (2005). Retention by design: Achieving excellence in minority engineering education. National Action Council for Minorities in Engineering.Litzinger, T., Zappe, S. E., Hunter, S., & Mena, I. (2015). Increasing integration of the creative process across engineering curricula. The International Journal of Engineering Education, 31(1b), 335–342.Mumford, M. D., Medeiros, K. E., & Partlow, P. J. (2012). Creative thinking: Processes, strategies, and knowledge. The Journal of Creative Behavior, 46(1), 30–47.Mumford, M. D., Mobley, M. I., Reiter
effective implementation of theinteraction processes when solving ill-structured problems in groups?MethodsParticipants were 21 undergraduate students (6 females) from two 50-minute discussion sectionsthat met weekly as part of an introductory engineering course at a large, public university.Groups of 3-4 students were assigned during the first week via software that minimized theisolation of any student minority. Skill levels of individual students were not controlled. Bothsections took place in a laboratory classroom and were taught by the same graduate teachingassistant and two undergraduate course assistants. In both sections, groups solved the same ill-structured task. All task work was done within each section, and the task was not revealed
institutional change and willguide the research team for the remaining two years.AcknowledgmentsThis material is based upon work supported by the National Science Foundation underIUSE/PFE:RED Grant No. 1632053. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.References 1. C.S. Slater, T.R. Chandrupatla, R.A. Dusseau, J. L. Schmalzel, (1996). “Development of multifunctional laboratories in a new engineering school,” ASEE Annual Conference and Exposition, June 23-26, 1996, Washington, DC. American Society for Engineering Education, 1996. 2. T.S. Popkewitz and L. Fendler, Critical Theories in
report, Carnegie Mellon University, 1985.[2] A. T. Chamillard and Kim A. Braun. Evaluating programming ability in an introductory computer science course. ACM SIGCSE Bulletin, 32(1):212–216, 2000. ISSN 00978418. doi: 10.1145/331795.331857. URL http://portal.acm.org/citation.cfm?doid=331795.331857.[3] Mary Elaine Califf and Mary Goodwin. Testing Skills and Knowledge: Introducing a Laboratory Exam in CSl. In Proceedings of the 33rd ACM technical symposium on Computer science education - SIGCSE ’02, page 217, 2002.[4] Karla Steinbrugge Fant, Branimir Pejcinovic, and Phillip Wong. Exploring Proficiency Testing of Programming Skills in Lower-division Com- puter Science and Electrical Engineering Courses. In ASEE Annual Conference
and Current Laws, see Table 1) was split into two topics, resultingin 11 total mastery topics. In addition, students are now required to earn at least 70% of the totalnumber of possible points in order to obtain a C, instead of only requiring demonstrating ofmastery. This scheme will subsequently remove the outliers observed in Figure 2. It will alsoreduce the burden on the instructor with respect to making a strict determination of whether astudent will pass or fail very early in the semester.References[1] B. S. Bloom, “Learning for Mastery. Instruction and Curriculum. Regional Education Laboratory for the Carolinas and Virginia, Topical Papers and Reprints, Number 1,” Eval. Comment, vol. 1, no. 2, May 1968.[2] W. J. Leonard, C. V
editorial board member for the Journal of Advanced Academics and Gifted Child Quarterly. c American Society for Engineering Education, 2019Work in Progress: Integrating Differentiated Instruction and Project-BasedLearning to Teach Embedded SystemsAbstractEmbedded systems, smart electronics, and the Internet of Things (IoT) are topics that arerapidly evolving, not just in research and development laboratories, but in the real worldof industrial and consumer products. Because of the fast pace of technological progress,the evolution of standards, and the non-stop growth in the application space, it isimpossible to teach our students everything that they need to master. How then, can webest prepare students with a
concepts. He is a Senior Associate Editor for the Journal of Engineering Education.Dr. David S Hurwitz, Oregon State University Dr. David Hurwitz is an Associate Professor of Transportation Engineering in the School of Civil and Construction Engineering at Oregon State University and is the Director of the OSU Driving and Bicycling Simulator Laboratory. Dr. Hurwitz conducts research in transportation engineering , in the areas of traffic operations and safety, and in engineering education, in the areas of conceptual assessment and curriculum adoption. c American Society for Engineering Education, 2019 Problem-Solving Rationales of Practicing Transportation and Hydraulic Engineers When
, microfluidics for measuring cell motility, wearable electronics, laboratory automation of fly work in genetics research and 3d printing in mechanics education. c American Society for Engineering Education, 2019 Implicit Attitudes in Engineering: Coding, Marketing and BiasAbstractSome of the most difficult to teach and measure student learning outcomes are those associatedwith societal awareness and impact. Many engineering classes are already oversaturated withtechnical material leaving the discussion of current events and social changes that impact oureveryday lives for general education courses. This tendency is reinforced by cultural aspects ofengineering emphasizing technical skills over social
Paper ID #25214Board 76: Bridging the Workforce Skills Gap in High Value Manufacturingthrough Continuing EducationDr. Michael Johnson, Texas A&M University Dr. Michael D. Johnson is an associate professor in the Department of Engineering Technology and In- dustrial Distribution at Texas A&M University. Prior to joining the faculty at Texas A&M, he was a senior product development engineer at the 3M Corporate Research Laboratory in St. Paul, Minnesota. He received his B.S. in mechanical engineering from Michigan State University and his S.M. and Ph.D. from the Massachusetts Institute of Technology. Dr
expert • Deep vs. surface learning • Epistemology • Apprenticeship or observation. • Asset vs. deficit perspective.Student team activity in Studio 2.0We have regularly collected and analyzed video data of teams engaging with a realistic Studio2.0 tasks. These data include an initial study in a controlled laboratory environment [5] and videocollected every term “in the wild” among consenting students in their studio courses. While theStudio 2.0 activity was developed to provide an authentic context, the clinical setting in the firststudy enabled a low stress and supportive environment to form initial understanding of studentreactions. We characterize the teams’ engagement in terms of Dorothy Holland’s figured worlds[6]. In “school
. Self, California Polytechnic State University, San Luis Obispo Brian Self obtained his B.S. and M.S. degrees in Engineering Mechanics from Virginia Tech, and his Ph.D. in Bioengineering from the University of Utah. He worked in the Air Force Research Laboratories before teaching at the U.S. Air Force Academy for seven years. Brian has taught in the Mechanical Engineering Department at Cal Poly, San Luis Obispo since 2006. During the 2011-2012 academic year he participated in a professor exchange, teaching at the Munich University of Applied Sciences. His engineering education interests include collaborating on the Dynamics Concept Inventory, developing c American Society for Engineering
; 2) assistance improving both study and timemanagement skills; and 3) help deciding on a major and a career path as well as establishing aprofessional network. At the start of their first spring semester students tour the CAR and learnabout its research groups and projects. Students, based on their interests and preferences, are thenmatched with a CAR mentor. Students are involved in research projects and have access toancillary services, facilities and support staff. Besides gaining laboratory experience, studentsworking at the CAR receive credit towards a degree and/or compensation. In addition, studentsgain authorship in journal articles, attend scientific conferences to present their results, andparticipate in a number of outreach
University in 2002 as a research engineer working for the Ohio University Avionics Engineering Cen- ter. He has worked on projects covering a wide variety of avionics and navigation systems such as, the Instrument Landing System (ILS), Microwave Landing System (MLS), Distance Measuring Equipment (DME), LAAS, WAAS, and GPS. His recent work has included research with the Air Force Research Laboratory in Dayton, Ohio, aimed at understanding and correcting image geo-registration errors from a number of airborne platforms.Ms. Audra Hilterbran, Ohio University Audra Hilterbran is an instructional technologist in the Russ College of Engineering and Technology at Ohio University, Athens, Ohio. She works with faculty to design and
activities were internalized, benefitted their development, and could possibly be improved to maximize impact on subsequent cohorts.A. Academic outcomes from the project C.1 The objectives of this project were consistent with my research interests C.2 This experiential learning project had an impact on my hands-on/laboratory skills and data collecting skills Which one(s) in particular? C.3 This project had an impact on my presentation skills Which ones(s) in particular? C.4 This project developed my technical skills C.5 This activity enhanced my content knowledge? C.6 I was able to integrate knowledge from many different sources and disciplines (example, chemistry, biology, engineering, technology, computer science, environmental sciences, etc)B
surveillance. In these areas, he developed and applied technologies including distributed, component-based software ar- chitectures, software and systems engineering process models, intelligent control, the semantic web, and real-time artificial intelligence. In 1999, Dr. Hawker joined the Computer Science Department at the University of Alabama as an Assistant Professor focusing on software engineering, and in 2004 he moved to the Software Engineering Department at RIT. Dr. Hawker is also co-director of the Laboratory for En- vironmental Computing and Decision Making, which focuses on modeling and understanding the impact of freight transportation and automotive industry activities and public policies. Dr. Hawker also
main sections of the course: (1)Programming applications using LabVIEW, (2) Data acquisition, sensors, and signal conditioning,and (3) Design of measurement systems. Weekly laboratory activities mirror the lecture materials.Part of the requirements in the course includes an end-of-semester team design project where onepossible option is the design and implementation of an automated test & measurement system for apower supply and control board (PSCB). For this project, students design and build the PSCB tomeet these requirements: one DC output voltage, one function generator output with user selectablewaveform type (sinusoidal, triangular, square waveform) and user selectable amplitude andfrequency adjustments, four simultaneous TTL outputs
developing formal degree programs and professional development programs for incumbent engineers, community college instructors, and high school science and technology teachers. He is the PI and co-PI of several federal and state funded projects for course, curriculum and laboratory development in advanced automotive technology.Dr. Jimmy Ching-Ming Chen, Wayne State University Assistant Professor 2015-present Wayne State University Ph.D 2006 Texas A&M University c American Society for Engineering Education, 2016 Automatic Parking Vehicle SystemAbstractVehicle automation, autonomy and connectivity is a subject of mechatronics integrating manyengineering disciplines including
standardization in communal writing assessment,” Research in the Teaching of English, 35, 213-260.4. Shay, S. 2005. “The assessment of complex tasks: A double reading,” Studies in Higher Education 30, 663-679.5. Marzano, R. 2010, Formative assessment and standards-based grading, Marzano Research Laboratory, Bloomington, IN.6. Reeves, D. 2003. Making standards work: how to implement standards-based assessments in the classroom, school, and district, 3rd ed., Advanced Learning Press, Englewood, CO.7. Atwood, S., Siniawski, M., and Carberry, A. 2014 “Using standards-based grading in engineering project courses,” Proceedings of the 2014 ASEE Annual Conference & Exposition, Indianapolis, IN.8. Carberry, A., Siniawski, M
system design technique”. Electronics Letters. Volume: 26, Issue: 5 ,1 Mar. 1990, Pages: 284 -286. 8. J. Yang, E. Brunvand, “Self-timed design with dynamic domino circuits”. Proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI’03) 2003. 9. N.P. Singh, “A design methodology for self-timed systems,” MIT Computer Science Laboratory Tech. Report. TR-258, Feb. 1981. 10. Press, W.H., Teukolsky, S.A., Vetterling, W.T. and Flannery, B.P.:”Numerical Recipes in C: The Art of Scientific Computing, 2nd Ed.,”(Cambridge University Press, Cambridge, UK, 1992). 11. Sutherland, I., Sproull, B. and Harris D.: “Logical Effort: Designing Fast CMOS Circuits,” (Morgan
than those in higher education institutions in the 1980s. Still, the commitment of staff is rather limited compared to their colleagues in the 1980s. c. Learning resources such as libraries, laboratories and IT facilities with of course fast Internet connections will have huge impact on improving the quality of engineering education. d. The expansion of the education system should carefully planned in such a way as not to compromise the quality of education. 5.1. RecommendationsTo build the capacity of engineering institutions, the following recommendations are made: i. A working group be formed by the Afghan government to study the shortcomings
] Northrup, S. G and Burke, J.R., “A Hybrid Approach to a Flipped Classroom for an Introductory Circuits Course for all Engineering Majors”, Proceedings of the 122nd ASEE Annual Conference & Exposition, Seattle, June 2015.[8] Zhao, Y. and Breslow, L., “Literature Review on Hybrid/Blended Learning ", Teaching and Learning Laboratory (TLL) (2013): 1-22.
Paper ID #14852CATE: A Circuit Analysis Tool for EducationDr. Fred W. DePiero, California Polytechnic State University, San Luis Obispo Dr. Fred DePiero received his B.S. and M.S. degrees in Electrical Engineering from Michigan State Uni- versity in 1985 and 1987. He then worked as a Development Associate at Oak Ridge National Laboratory until 1993. Fred began working on his Ph.D. at the University of Tennessee while still at ORNL, and completed it in May 1996. Fred joined the faculty at Cal Poly in September of 1996. He is presently serving as the Associate Dean for Student Success in the College of Engineering.Mr. K
body motion, impact, fluid flow, and fluid-solidinteraction.Though certainly not all, a significant percentage of students who complete the required FEAcourse express a strong interest in a continuation course. In addition, the university's industrialpartners, both advisory committee members and Capstone Design Program sponsors, havecommunicated the desire for graduates to have additional competencies in simulation. Finally,students in the senior level Capstone Design course frequently have the opportunity to performadvanced simulation as part of their senior project. A recent example is a project sponsored bythe NASA Jet Propulsion Laboratory that focused on their land-based 70m deep space antenna.They wanted to understand the phenomena
Paper ID #17022Accentuating the Positive: Including Successes in a Case Study Survey ClassDr. Colleen Janeiro, East Carolina University Dr. Colleen Janeiro teaches engineering fundamentals such as Introduction to Engineering, Materials and Processes, and Statics. Her teaching interests include development of solid communication skills and enhancing laboratory skills.Dr. Teresa J Ryan, East Carolina University Department of Engineering Dr. Teresa Ryan teaches mechanical engineering fundamentals such as Dynamics, Mechanics of Materi- als, Acoustics and Vibrations. She also focuses on technical communication skills within an
Transportation Research Center (MTRC). A member of the faculty for 36 years, he is a licensed professional engineer and board-certified environmental engineer. During his academic career, he has published over 100 refereed and reference papers and report and made almost 170 papers and poster presentations. While much of his externally- funded research has focused of environmental and water resources engineering, his work in the areas of education, transportation, and construction has included improving instructional processes in laboratories, delineation of roadway systems and NEPA compliance for highways using remotely-sense data, modeling highway evacuation strategies and environmental impacts for predicting pavement
encompasses a broad range of activities that engage thestudents in meaningful learning.2,5 While homework and laboratory sessions likely includemeaningful learning activities, advocates of active learning focus on approaches that take placein the classroom in place of traditional lectures.2 Felder and Brent use the following definitionfor active learning: “anything course-related that all students in a class session are called upon todo other than simply watching, listening and taking notes” (p. 2).6 Active learning strategiesinclude the use of clicker questions in class, peer instruction, inquiry-based learning,collaborative learning, and problem- and project-based learning.4,5,6, 7Many active learning strategies have been used successfully in
-Inductive Content in Programming Discussion Forums. IEEE Frontiers in Education Conference (FIE), 2015, 1–8.6. Atiq, S. Zahra, Xin Chen, David Daniel Cox, and Jennifer DeBoer (2015). International STEM Classrooms: The Experiences of Students Around the World Using Physical Remote Laboratory Kits. 2015 ASEE International Forum, 19.23.1–19.23.9.7. Menekse, M., Stump, G. S., Krause, S., & Chi, M. T. (2013). Differentiated overt learning activities for effective instruction in engineering classrooms. Journal of Engineering Education, 102(3), 346-374.
classroomlearning experience combined with hands-on laboratory and group project activities. Theexperience of working in a close-knit team with direct access to your supervisor is difficult toemulate via distance learning. When combined with the UK education pedagogy and teachingexperience the whole joint-school experience is difficult to substitute. Consequently the threatof substitution is considered low.4. Buyer PowerBuyer power is probably the largest threat to the program and gives rise to the question “Whois the customer?” Identifying the first customer is straightforward; it is the new potentialstudent and their families who will invest in education products. The student has 3 options foreducation: the first is the domestic Chinese University sector