] P. Deshpande, C. B. Lee, and I. Ahmed, “Evaluation of Peer Instruction for Cybersecurity Education,” in Proceedings of the SIGCSE Conference, 2019.[9] F. Ning, W. Cong, J. Qiu, J. Wei, and S. Wang, “Additive manufacturing of carbon fiber reinforced thermoplastic composites using fused deposition modeling,” Compos. Part B Eng., vol. 80, pp. 369–378, 2015.[10] J. M. D. Hill, C. A. Carver, J. W. Humphries, and U. W. Pooch, “Using an isolated network laboratory to teach advanced networks and security,” in Proceedings of the thirty- second SIGCSE technical symposium on Computer Science Education - SIGCSE ’01, 2001, pp. 36–40.[11] D. Dasgupta, D. M. Ferebee, and Z. Michalewicz, “Applying Puzzle-Based
-internship 4 Software 3 Tutor 2 Volunteer 1 Shadowing 1 Makerspace 1 Laboratory-course 1 First-Year-Design 1 Figure 2. Frequency of workshops applicants’ responses about their previous experiences and word cloud representation of the data.Open-ended questions were gathered to help the authors get additional insight into the students’reason why they want to participate in the workshops even if it is not for a grade. Understandingstudent’s motivation to
) programs in aneffort to more holistically develop future scientists and engineers as described above, but thevery asset of the apprenticeship, the highly-situated nature of the REU, presents challenges forprogram design. REU’s typically mirror the laboratory experience of advanced level graduates,with undergraduates working closely with graduate student mentors and situating knowledge inauthentic and novel research projects over a six-to-10-week summer program, as opposed tohighly structured classroom-style learning models. Historically, many REU’s heap theresponsibility of leading inexperienced undergraduates in learning and integrating into a newfield onto postdoctoral or graduate student mentors who often have “little preparation, support
) Robotics competitions (such as RoboCup, IDC Robocon, ROBOTAC) and internships in technology companies and laboratories can also offer chances to think computationally in engineering practices. Table 3. CT Components in Courses Modeling Complex Digital DigitalEducation Model Examples and Problem Literacy Leadership Simulation Solving Fundamentals of
2017, 2017.[28] A. S. Bowen, D. R. Reid, and M. D. Koretsky, "Development of interactive virtual laboratories to help students learn difficult concepts in thermodynamics," Chemical Engineering Education, vol. 49, no. 4, pp. 229-238, 2015.[29] E. D. Sloan and C. Norrgran, "A neuroscience perspective on learning," Chemical Engineering Education, vol. 50, no. 1, pp. 29-37, 2016.[30] F. Paas, A. Renkl, and J. Sweller, "Cognitive load theory: Instructional implications of the interaction between information structures and cognitive architecture," Instructional science, vol. 32, no. 1, pp. 1-8, 2004.[31] M. W. Liberatore and K. Roach, "Building Spreadsheet Skills Using an Interactive Textbook," in ASEE
the microcontroller board. While assembly coding is important to learn thehardware intimately, the higher level C language is more productive in terms of development costs,and also C is less error-prone. Students find that the embedded course is rigorous and challengingthroughout the semester, but builds their confidence in the subject and usage of the microcontrollerdevelopment board – Dragon 12B plus. Laboratory exercisers use several different sensors and motordriver modules as peripherals in addition to the built-in components on the hardware board. The embedded systems lab experiments build confidence in students so that when theirembedded class final (exam) project [1] is assigned, they are not fazed by it. That project is to
positive.Reference1. Clark, W. and DiBiasio, D. (2007). Computer simulation of laboratory experiments for enhanced learning. ASEE Annual Conference and Exposition. Honolulu, Hawaii, June 24-27.2. Chapra, S. and Canale, R., 2014, Numerical methods for engineers, 6th edition, McGraw-Hill Higher Education.3. Richard G Budynas and J Keith Nisbett, 2015, Shigley's Mechanical Engineering Design, 10th edition, McGraw-Hill Higher Education.4. Moazed, A.R., Roberts, R., Le, X. and Duva A., 2010, Teaching finite element analysis in undergraduate technology curriculum. ASEE Northeast Section Conference, Wentworth Institute of Technology, Boston, MA, May 7-85. Brown, A., Rencis, J.J., Jensen, D., et al, (2008). Finite element learning modules for
asintroducing index cards for students to write questions and concerns; others engaged in a full flipof their classroom. Also, many of the participants indicated that they are comfortable employinginteractive strategies in small, higher level courses or laboratories but continue to use primarilylecture when teaching large, entry-level courses. How can SIMPLE groups be adapted to addressthe challenge of translating these strategies to large courses? Would it be valuable to createSIMPLE groups that focus on this challenge, perhaps across disciplines?Many of the teaching development group participants had begun using interactive teachingstrategies recently (1-2 years) before joining the group. It is likely that because interactiveteaching was relatively
. selection, set-up, and calibration of instrumentation and the preparation of laboratory reportsand systems documentation associated with the development, installation, or maintenance ofmechanical components and systems;c. basic engineering mechanics.An associate degree program must have an integrating or capstone experience which utilizes theskills acquired.For baccalaureate programs, given the breadth of technical expertise involved with mechanicalsystems and the unique objectives of individual programs, programs may focus on preparinggraduates with in-depth but narrow expertise, while other programs may choose to preparegraduates with expertise in a broad spectrum of the field. Therefore, the depth and breadth ofexpertise demonstrated by
Paper ID #24669Effective Faculty Development – More than Time in the SeatDr. Louis J Everett P.E., University of Texas, El Paso Dr. Everett is the MacGuire Distinguished Professor of Mechanical Engineering at the University of Texas El Paso. Dr. Everett’s current research is in the areas of Mechatronics, Freshman Programs and Student Engagement. Having multiple years of experience in several National Laboratories and Industries large and small, his teaching brings real world experiences to students. As a former NSF Program Director he works regularly helping faculty develop strong education proposals
sensortechnology that we call interactive-Newton (i-Newton) as a learning platform. This technology(Fig. 1) represents a versatile, portable, and inexpensive means for students to explore dynamicsconcepts in any setting without a substantial investment in traditional laboratory apparatuses.Figure 1: An i-Newton with the sensor-fixed frame of reference etched on top. It contains atriaxial accelerometer and angular rate gyro (that measure linear acceleration and angularvelocity, respectively) as well as a microcontroller and flash memory for data sampling andstorage.In the classroom, active learning is traditionally defined as any instructional practice thatinvolves students in the learning process through approaches like cooperative learning, problem-based
interact with engineers. Some ofthese activities were conducted in university laboratories and some in the engineering conferencearea that is the location for the summer camps. Activities were led by engineering students andfaculty. IRB approved protocols were followed. The total number of participants in the campsduring summer 2018 was 62 that included 20 in the Young Women in Engineering camp, 17 inthe First Generation camp and 25 in the open-enrollment Introduction to Engineering camp.Seven campers did not have parental consent and we did not have complete data for eight. Hencethe total number of participants included in year 1 of the study was 47.Quantitative Data collectionQuantitative data consists of a pre-survey, administered
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
otheracademic institutions adopting AM education curricula.Current Progress: The Advent of AM Graduate ProgramsGraduate programs dedicated to Additive Manufacturing have seen a measured growth in the lastthree years. The Pennsylvania State University’s Masters of Science in Additive manufacturingand design program is considered to be the first of its kind in the USA. The course offers an onlineoption as well for professionals intending to continue education. The students find benefit inlectures from industry experts from Center of Innovative Materials Processing through directdigital deposition (CIMP 3D) and Applied Research Laboratory [13]. The University of Marylandalso offers a graduate program in Additive manufacturing and students use resources
classroom and laboratory has been funded by the National ScienceFoundation (NSF) over the last twenty years. His work has led to at least one textbook [5]adopting the micro-insertion approach to incorporate ethical decision making into the end-of-chapter problems.Micro-insertion inserts new content at the micro-scale of a course. For example, Riley et al. [6]describe how ethics can be micro-inserted into a course by expanding the context of technicalhomework problems. A traditional calculation-based problem would be expanded by asking thestudent to evaluate an ethics issue based on their calculation. An instructor hesitant to sacrifice aportion of their course to an unrelated topic is more likely to adopt micro-insertion when shownthat properly
, a combined loading probleminvolves three-dimensional analysis. Three-dimensional animations are very useful for studentsto visualize how each force affects the beam in three dimensions. Students can use this tool tohelp them visualize an example as if they were watching the forces being applied in a laboratory,as well as better understand the reactions, steps, and concepts in additional examples. Sampleframes of an animation are shown in Figure 2. Figure 2: Sample frames of an embedded animation Responsive hints and guided steps: There are several examples in the eBook thatstudents can use to learn, practice, and assess their knowledge. There are many different optionsfor how a student can practice examples. A
Paper ID #25996Airworthiness Assurance and Component Tracking of Small Unmanned AerialSystemsMr. Kristoffer Borgen, Purdue University currently works as a Graduate teaching assistant in the Aviation Technology department at Purdue Uni- versity. Received a BS in 2018 in Aerospace Engineering Technology from Purdue University and is currently working on a Masters in Aviation and Aerospace Management. Currently a teaching laboratory sections in statics and unmanned aerial systems (UAS).Mr. William Theodore Weldon, Purdue University PhD student at Purdue University studying UAS operations.Dr. Brian Kozak, Purdue Polytechnic