preference for either AE or RO and then for either CE or AC.In the summer of 2022, an engineering research project was undertaken by two undergraduatestudents, a professor and a mentor who is a senior-level practicing engineer. The researchproject focused on development of a strategy to inform engineering designers of the benefits, ordrawbacks, of engaging in either digital prototyping or physical prototyping (or both). Theproject was funded by industry and the college. The project ran for a ten-week summer session,but then continued after that in a less aggressive manner. That prototyping oriented researchproject functions as the testbed for the Kolb Method research reported on here. The initial ideafor this Kolb Method work was highlighted as part
solutions(Phase 3). The most promising would then be developed in greater detail, made, tested,and revised (Phase 4). The final solution would be evaluated to see if it were a practicalsolution to the original problem (Phase 5). If it could be implemented or sold to thepublic, the product would be produced and marketed (Phase 6). It has been the author’s observation that the typical American university educationstresses Phase 4 in providing engineers-to-be with the math, science, engineering tools3 R.C. Juvinall and K.M. Marsek, Fundamentals of Machine Component Design, 3rd ed., John Wiley, p. 3. Proceedings of the 2005 ASEE Gulf-Southwest Annual Conference Texas A&M University
ecological ”sacrifice zones.” See one of his recent publications in Journal of Environmental Management, ”The Politics of Baselining in the Grants Uranium Mining District of Northwestern New Mexico” (April 2020).Sarah Appelhans, University at Albany-SUNY Sarah Appelhans is a PhD candidate in Cultural Anthropology at the University at Albany (SUNY). Her dissertation research, ”Flexible Lives on the Integrated Circuit: Gender and Belonging in Semiconductor Manufacturing”, investigates the boundaries of membership in engineering in the Northeastern United States. She is honored to be a research assistant on two NSF-sponsored studies entitled ”The Distributed System of Governance in Engineering Education” and ”Developing
PhD from U.C. Berkeley.Dr. Hadas Ritz, Cornell University Hadas Ritz is a senior lecturer in Mechanical and Aerospace Engineering, and a Faculty Teaching Fellow at the James McCormick Family Teaching Excellence Institute (MTEI) at Cornell University, where she received her PhD in Mechanical Engineering in 2008. Since then she has taught required and elective courses covering a wide range of topics in the undergraduate Mechanical Engineering curriculum. In her work with MTEI she co-leads teaching workshops for new faculty and assists with other teaching excellence initiatives. Her main teaching interests include solid mechanics and engineering mathematics. Among other teaching awards, she received the 2020 ASEE St
ecosystem are largely the same. In order to dig deeper, especially inregards to the experiences of students from historically marginalized identities in engineering, wepropose an interview study that examines students psychological safety on project teams.References [1] K. A. Smith, S. D. Sheppard, D. W. Johnson, and R. T. Johnson, “Pedagogies of engagement: Classroom-based practices,” Journal of engineering education, vol. 94, no. 1, pp. 87–101, 2005. [2] B. Beigpourian, M. W. Ohland, and D. M. Ferguson, “Effect of psychological safety on the interaction of students in teams,” 2020. [3] S. G. Adams, C. R. Zafft, M. C. Molano, and K. Rao, “Development of a protocol to measure team behavior in engineering education,” Journal of STEM
program here hasbeen initiated with positive results.To help provide continuity for the chapter, we worked through several iterations of a knowledgerepository.[6] My first attempt (admittedly not very modern) was to have the chapter officersarchive all information and documents (contact information for speakers, plans for events,invoices, university required documents, etc.) for the chapter’s activities in a three ring binder.This was a good initial start but was not technologically up to the challenge. The studentsdecided on their own to migrate the document storage to a Google drive. Subsequently, asofficers and advisor changed, the last approach was developed in consideration of thepermanence issues and access to the Google drive. The current
Paper ID #33822Turning Office Hours into Study Sessions: Impacts on Students’ Homeworkand Exam GradesProf. Liza Boyle, Humboldt State University Dr. Boyle is an Assistant Professor of Environmental Resources Engineering at Humboldt State Uni- versity (HSU), where they have been since 2016. Dr. Boyle received their PhD from the University of Colorado Boulder in 2016 studying dust accumulation on solar panels, and especially the links between airborne particulate concentrations and the impact on solar power output. Since starting at HSU Dr. Boyle has taught a variety of classes across the engineering curriculum, but
interests transfer students who first enroll in community colleges, as well as developing broader and more nuanced engineering performance indicators.Dr. Haiying Long, University of KansasMs. Anna Teresa CaringellaIng. Andrea Pinto American c Society for Engineering Education, 2021Understanding Nontraditional Students in Engineering and Computing (Work in Progress)When post-secondary schools design academic and co-curricular programs and student performance goals,they often frame them around traditional student populations (Chen, 2017). Traditional students aregenerally full-time, live on campus, are 18-24 years old, and are financially supported by parents (Figure1). Chen
and engineering pedagogy. American c Society for Engineering Education, 2021 Using 3D Printed Teaching Pass-Arounds for Mechanical Design CoursesAbstract— Inexpensive additive-manufacturing (three-dimensional printers) allows faculty tocreate tools that address diverse learning styles, especially visual and kinesthetic learners.Inexpensive 3D-printing has unleashed solid mechanics instructor creativity to produce physicalrepresentations of the mechanical parts being taught. These 3D-printed “pass-arounds” aretouched and manipulated by students as important design features are introduced and discussed.3D printing capability allows an engineering instructor to develop and
, these participants had lesswork experience; however, it appears that even small amounts of work experience can have alarge impact on confidence, as internships were specifically cited by some participants as asource of confidence.It is also notable that military academies, among undergraduate institutions, were a significantfactor in students’ confidence. This aligns with the conclusions reported in [23], which focusedspecifically on leadership and related skills developed through military service; however, in thiscase, the focus was on the academic experiences at the academies, rather than on the serviceitself. This could be influenced both by the focus and curriculum at the academies, and by thenature of the student body at the academies
implementation as a catalyst for curricular change,” 2005, pp. 114–130.[13] Y. Vovides, S. Sanchez-Alonso, V. Mitropoulou, and G. Nickmans, “The use of e-learning course management systems to support learning strategies and to improve self-regulated learning,” Educational Research Review, vol. 2, no. 1, pp. 64–74, Jan. 2007.[14] G. Wiggins and J. McTighe, Understanding by Design. Alexandria, VA: Association for Supervision & Curriculum Development, 1998.[15] R. Pope-Ruark, Agile Faculty. Chicago, IL: University of Chicago Press, 2017.[16] Flipped Learning Network, “Definition of Flipped Learning,” Flipped Learning Network Hub, 2014. https://www.flippedlearning.org/definition (accessed Feb. 01, 2020).[17] R. Talbert, Flipped
the use ofconditional probabilities [4]. The Key Problem asks the question about what the best position isto play a simple game. The first participant picks one of four keys, only one of which will getthem possession of a new car. Is it best to be the first participant, second, third or fourth? This isa problem of probability without replacement of the key once tried.Both problems can be solved theoretical with the careful application of conditional probabilities,but both often have results that are counter-intuitive for most people. It was hoped that byprogramming a Monte Carlo simulation of the problem, they could develop their intuition. AMonte Carlo simulation just means a computer program which builds a probability distributionby
Paper ID #14740How We Teach Process Control: 2015 Survey ResultsDr. David L. Silverstein P.E., University of Kentucky David L. Silverstein is a Professor of Chemical Engineering at the University of Kentucky. He is also the Director of the College of Engineering’s Extended Campus Programs in Paducah, Kentucky, where he has taught for 15 years. His PhD and MS studies in ChE were completed at Vanderbilt University, and his BSChE at the University of Alabama. Silverstein’s research interests include conceptual learning tools and training, and he has particular interests in faculty development. He is the recipient of several
. Excelsior College (EC) has been a pioneer in the service of non-traditional students since1971. This institution was quick to adopt web-based asynchronous distance learning systems asthe primary mode of instruction for the predominantly non-traditional adult student population ofthe college. During the last 5 years, the Schools of Liberal Arts, Nursing, Health Science, andBusiness and Technology have developed several hundred web-based on-line courses for Page 12.41.2management and delivery through the Web CT Distance Learning System. To ensure that all ofthe EC students enrolled in these on- line classes are receiving quality instruction
ASEE National Conference1. OME presentations, first developed atNortheastern University (NU), consist of having students individually provide a short (nominallyone minute) presentation on an engineering-related topic at the beginning of class each day, witheach student participating once during the term. Students select the topics in advance on a first-come, first-serve basis, with feedback from the instructor on the chosen topic. Instructors couldthen relate future lectures and concepts to earlier student presentations.The 2006 ASEE paper presented results from two instructors at two different universities. Thedata showed that students reported an increased awareness of engineering topics as a result of theOne-Minute Engineer. Since this
. Journal of College Student Development. 2002. 43(3): p. 395-402.6. Inkelas, K.K. and Weisman, J.L. Different by Design: An Examination of Student Outcomes Among Participants in Three Types of Living-Learning Programs. Journal of College Student Development. 2003. 44(3): p. 335-368.7. Pascarella, E.T. and Terenzini, P.T. How College Affects Students. San Francisco: Josey-Bass, 1991.8. Arms, V.M. A Learning Community for Professionals: The New Engineering Curriculum. Metropolitan Universities, 1998. 9(1): p. 63-72.9. Tinto, V., Love, A.G., and Russo, P. Building Learning Communities for New College Students: A Summary of Research Findings of the Collaborative Learning Project. University Park, PA.: National Center on Postsecondary
AC 2009-1142: ASSESSING ENGINEERING MANAGEMENT STUDENTS’PERCEPTION OF ON-LINE LEARNINGErtunga Ozelkan, University of North Carolina, Charlotte Ertunga C. Ozelkan, Ph.D., is an Assistant Professor of Systems Engineering and Engineering Management and the Associate Director of the Center for Lean Logistics and Engineered Systems (CLLES) at the University of North Carolina at Charlotte (UNC Charlotte). Before joining academia, Dr. Ozelkan worked for i2 Technologies, a leading supply chain software vendor in the capacity of a Customer Service and Curriculum Manager and a Consultant. He also worked as a project manager and a consultant for Tefen Consulting in the area of productivity improvement
level appears to have given students aspringboard benefit in the curriculum that persists into later courses and professional practice.Direct and indirect assessments of the project-based method were conducted and the results willbe presented in the paper. The design project is assessed based on classroom presentations and awritten report with technical analysis, design process, and professional conclusions. It is intendedto continue restructuring the course syllabus around this project in the future. Page 14.986.2IntroductionStudent engagement and participation in their learning experience has been known to enhancetheir understanding of the
developed the game for use in acomputational methods course. In that coursestudents devise algorithms for driving the car as fast as possible around the track. In addition tosteering, the driving programs needed to calculate optimal times to shift gears; to determine themaximum speed it could navigate corners; to compute the best time to begin braking beforeentering a turn; and much more. When the game was first introduced in the computational Page 14.844.2methods course in 2005, we saw immediate and dramatic improvements in learning outcomes.While teaching the game-based computational methods course, we recognized the DynamicSystems &
8logistics, and management of the conference administrative areas. The Division ofResearch & Economic Development Director, Vice Chancellor for Research Dr. N.Radhakrishnan and his staff invested substantial effort to make sure that the conferencewould be successful. The College of Engineering faculty team, in particular, DeanMonroe, Dr. Bala Ram, Dr. Diana Vass, Dr. Stephanie Luster-Teasley, Dr. ChristopherDoss, and the Dean’s staff were instrumental in organizing the content and securingadditionally funding for event activities. Weekly planning meetings and individualworkgroups were used to develop the agenda.One of the largest challenges for the conference was time management. The completeagenda included six technical research tracts; NCA&
-min lecture sessions and a 2-hour laboratory session per week (ChE 4402). Asignificant fraction of the course time was devoted to the work with the microcontroller; to fitthis in some modifications of the original curriculum were necessary. In addition to developing amore economical presentation of the subject matter, the following steps were taken:1. Bode stability analysis was omitted. Stability analysis is done using the poles of a transfer function (Chapter 4 of “Chemical Process Control”1).2. The treatment of second-order systems was reduced to a bare minimum; enough was taught to explain stability, instability and quarter amplitude damping (QAD). (The discussion of first-order systems remained unchanged, as did the discussion
Georgia Tech. He graduated with a Bachelors Degree in Production Engineering from the University of Mumbai, India with honors in 2005 and received Masters of Technology degree in Mechanical Engineering in 2007 from IIT Bombay, India. He was awarded a Ph.D. in Mechanical Engineering from Georgia Tech in 2013, with minors in Entrepreneurship. Dr. Jariwala has over nine years of research experience in modeling, simulation, engineering design, and manufacturing process development, with research focus on design of polymer based micro additive manufacturing process. During his Ph.D. studies, he was also a participant of the innovative TI:GER R program (funded by NSF:IGERT), which prepares students to commercialize high
Paper ID #18300Five-Minute Demonstrations:MinimalFaculty InvestmentforMaximumLearn-ing ImpactDr. Pamela L Dickrell, University of Florida Dr. Pamela Dickrell is the Associate Director of the Institute for Excellence in Engineering Education (IE3) at the Herbert Wertheim College of Engineering at the University of Florida. She designs and teaches large enrollment service courses, and researches innovative educational methods for the delivery of curriculum to students across multiple engineering majors. Her prior appointment at UF was director of the engineering distance learning program, UF EDGE (Electronic Delivery of
students to pass the Fundamentals of Engineering(FE) Exam. Passing the FE Exam is one of the requirements for professional licensure inengineering. The experiment took place in a required training course that is part of themechanical engineering curriculum at a private university in Puerto Rico where the studentpopulation is essentially 100% Hispanic, i.e., Spanish is their first language. The primaryobjective of the experiment was to differentiate between language difficulties (the FE Exam is inEnglish) versus weaknesses in formulating a problem. The motivation for the experimentstemmed from the fact that the passing rates in the FE Exam in Puerto Rico are approximatelyhalf than the national average reported by NCEES, which typically reports a
Paper ID #27349Relating Theater and Systems Engineering: Experiences of a Systems Engi-neer in Theater CoursesGiulia Palma, University of Alabama in Huntsville Giulia Palma is a PhD student at the university of Alabama in Huntsville in the systems engineering program. Some of Her research interests include analyzing case studies using storytelling metrics and developing methods to use theatre as a surrogate for complex systems.Dr. Bryan Mesmer, The University of Alabama in Huntsville Dr. Bryan Mesmer is an Assistant Professor in the Department of Industrial and Systems Engineering and Engineering Management at the University
. “Engagement” relates to reasons for motivation based onfundamental needs. An individual develops a need for competence, for autonomy, or a need to fitwithin a social group and those needs drive a desire or a motivation to fulfill that need.“Expectancy plus value” is a model that combines the expectancy of one’s ability to complete atask with a further weighing of the subjective value one places on that task. Lastly, “motivationplus cognition” is a classification of motivational theories that inexorably tie learning in withmotivation. One is not separate from the other.Observing student motivation in practice provides the gap between motivational models andframeworks to concrete best-practices concepts for instructors. Findings suggest that a variety
National Center for Women in Information Tech- nology (NCWIT) and, in that role, advises computer science and engineering departments on diversifying their undergraduate student population. She remains an active researcher, including studying academic policies, gender and ethnicity issues, transfers, and matriculation models with MIDFIELD as well as student veterans in engineering. Her evaluation work includes evaluating teamwork models, statewide pre-college math initiatives, teacher and faculty professional development programs, and S-STEM pro- grams.Dr. Joyce B. Main, Purdue University, West Lafayette (College of Engineering) Joyce B. Main is Assistant Professor of Engineering Education at Purdue University. She
Associate Professor of Electrical and Computer Engineering at the University of Iowa. He earned his B.S., M.S., and Ph.D. degrees in electrical engineering from the University of Michigan, Ann Arbor, in 1983, 1984, and 1989. He holds two patents, has received numerous teaching awards, and was a Hewlett Packard Faculty Development Fellow. His research interests include network communication, decentralized control, and engineering education. c American Society for Engineering Education, 2019 Impact of Active Learning Classrooms on Feedback Supported Student LearningIntroductionAs student-centered active learning has gained popularity among educators, and evidence
learned as they made links between all the components in the course model. Over a twosemester period student exam results showed similar outcomes as the traditional approach,but the communication skills and the learning motivation of the students were increased5. In another study, a laboratory-centered approach was utilized to introduce engineeringstudents to electric devices and systems. First-year engineering students were engaged inopen-ended design projects to explore and construct different types of electrical systems.Laboratory activities were selected to develop student intuition in electrical concepts,scientific fundamentals, provide a historical background, and demonstrate systems-leveldesign issues. Using this approach for three
experiment, a two week digital controller tank water level regulator experiment anda two week digital controller hydraulic servo control experiment.The digital control experiments use Matlab Real Time Windows Target (RTWT) with a NationalInstruments data acquisition board (DAQ) interface to implement a simple PID controller in real-time. This software interface is ideal for the learning environment and is use in many universi-ties because the Simulink code is displayed as a block diagram that is identical to the theory thatis presented in the textbook [2] [3] [4]. This makes modifying and developing new controllerssimple for the student with minimal programming experience. This hardware was introduced inthis lab in 2008 in an experiment using a