elasticity of aluminum in Project 1 was 16%. For project 2, the minimum error inthe measurement of the shear modulus in project 2 was 5%. On the other hand, the maximumerror in the measurement of modulus of elasticity and shear modulus of aluminum in Project 1 andProject 2 were 73% and 21%, respectively. The feedback session identified factors that helpedstudent teams increase the repeatability and robustness of their testers and yielded a greatermeasurement accuracy.Throughout the DBT experience in the Solid Mechanics Lab, obtaining of some parts and materialsproved to be challenging, as the students were tempted to utilize sophisticated subsystems andcomponents in the design. As such, the advanced planning is critical. To further enhance
$4M ENG – computationally-based engineering design, modeling, and analysis – advanced devices and systems for cyberinfrastructure Secure and Trustworthy Cyberspace (SaTC) Engineering aspects of the Networking and Information SaTC Technology Research and Development (NITRD) strategic plan $150M NSF $3M ENG 27 Cyber-Physical Systems (CPS) Application Sectors energy Abstract from application
evidence showing that personal understanding and knowledge is acritical component of student learning [10]. Schraw, Dunkle, and Bendixen [11] designed beliefssurvey to measure five constructs concerning the nature of knowledge and the origins ofindividuals’ abilities which was based on the earlier work of Schommer [12], he primary purposeof this study was to the knowledge and belief of the students related to sustainability.Education had always been an integral part of the United National sustainable developmentagenda. The World Summit on Sustainable Development (WSSD) in 2002 adopted theJohannesburg Plan of Implementation reaffirmed the achievement of need to integratesustainable development into formal education at all levels, as well as through
covers the best practices of Russian and American scholars in this area aswell as provides two examples of implemented high school courses, one in the Republic ofTatarstan, a part of the Russian Federation and the second, in the state of Pennsylvania, USA.These regions represent a large diversity of ethnical groups and was considered to be a solidexperimental platform.Cross Cultural Education in Tartarstan, RussiaImproving intercultural education by including a cross-cultural educational model is part ofthe multicultural education development program of developed in 2011-2020 plan proposedby the Ministry of Education of the Russian Federation relating to the Republic of Tatarstan.This republic has a diverse demographic comprising 52% - Tatars
reference framework are displayed,further cloud manufacturing planning and simulation level are proposed and learningoutcomes are described. History of the Automotive systemsAutomation of different product life-cycle phases is being developed since 1970. Theattention was usually focused on programs facilitating automated design (Computer AidedDesign) and manufacturing (Manufacturing Execution Systems, MES) [2]. With significanthelp of information technologies, evolving since 1980, the new step was made, emerged aconcept of FMS(Flexible Manufacturing System). In the end of 80th - beginning of 90thfocus of attention shifted toward product design, manufacturing equipment configuration andnew products management issues. At that time concepts of PDM
improve conceptual understanding and critical thinking.Evan S Miller, GeoEngineers, Inc. Evan graduated from Washington State University with a masters in civil engineering with emphasis on water resources. Post graduation, Evan primarily works in the field of river and habitat restoration. Projects of this nature involve many areas of water resource engineering including hydrology, hydraulics, open channel design, one and two dimensional hydraulic modeling, AutoCAD and ArcGIS plan design, and project coordination. c American Society for Engineering Education, 2016 Hydrology experiment design: an open-ended lab to foster student engagement and critical
. Shinglesare rectangular sheets and are purchased in bundles, typically containing 20 shingles per bundle.A new community is being developed and the contractor has hired you to write a MATLABprogram to help her determine the number of bundles to purchase for homes in the community.Attached is an isometric drawing of a standard house plan in the community. Each house isshaped like a T, with a small front section of the house (CxD in the drawing) centered along thelarger main section of the house (AxB in the drawing). Your task is to prompt the user for thefive basic dimensions of the house (noted by the letters in the drawing): • A–Depthofthemainbodyofthehouseinfeet • B–Widthofthemainbodyofthehouseinfeet • C
distinguishbetween the hydrophilic and hydrophobic slides by observing the shape of the water droplet. Thehydrophilic surface is wettable so the water drop spreads out over the microscope slide while thehydrophobic surface is non-wettable so the water drop beads into a spherical droplet.Some of the observed behavior was in line with science and engineering practices as outlined inthe NGSS [8]. The most prominent practice observed in groups was planning and carrying outinvestigations during the portion of the activity when students were conducting experiments todistinguish between the hydrophobic and superhydrophobic surface coatings. Students wereobserved adding multiple drops in one location to see if a larger water drop would flatten out.They also
students whoperformed well academically and graduated in four years and with those of low achievingstudent. The goal of this research is to identify factors related to course-taking choices anddegree planning that can affect students’ academic performance. The data for the study wascollected from three majors within an engineering school at a large public university: civil,environmental, and infrastructure engineering (CEIE), computer science (CS), and informationtechnology (INFT). The data includes more than 13,500 records of 360 students. Analysis showsthat low performers postponed some courses until the latter end of their program, which delayedconsequence courses and their graduation. We also found that low performers enrolled inmultiple
the summer activities were already highly interested in attendingcollege at the start of the activity. However, after comparing the responses on the pre- and post-surveys, the interest in attending CSUB increased as a result of participating in the activity. Inthe pre-survey, most students indicated that CSUB was only a backup plan, or that they wouldtake lower division courses and then transfer to another university. In the post-survey, somestudents had similar responses, but others had responses such as “[a] college education is acollege education, no matter where it is”, “[t]here are good programs here and it's local”, and“[t]his college has a good Engineering program.” These responses indicate that the outreachprogram increased awareness
simplifies the process of working with microcontrollers, and offers advantages over othersystems: • Inexpensive - Arduino boards are relatively inexpensive compared to other microcontroller platforms. • Cross-platform - The Arduino Software (IDE) runs on Windows, Macintosh OSX, and Linux operating systems. • The Arduino Software (IDE) is easy-to-use for beginners, yet good enough for advanced users. • Open source and extensible software - The Arduino software is published as open source tools, available for extension by experienced programmers. The language can be expanded through C++ libraries. 1 • Open source and extensible hardware - The plans
convention.CONCLUSIONIn this work, NetLogo, a multi-agent based programming language was used to build a buildingenvironment and simulate occupants. A basic spatial-temporal model has been developed whereinstructors and students can interact with each other by moving around the environment space. Theinstructors and students can be added and remove from the system, and the number of occupantscan be monitored using plots in real time. In the future, we plan to expand the model in variousother applications where there is continuous agent interaction.AcknowledgementThis work used the Extreme Science and Engineering Discovery Environment (XSEDE), which issupported by National Science Foundation grant number ACI-1548562. We would like to thankXSEDE Empower program for
learner-centered e-based environment, making it ready for largescale dissemination. Examples of calculus concepts that the author and his team plan to developand integrate include: (a) games, (b) puzzles and teasers, (c) animations, (d) visual and intuitivedaily-experience-based examples, (e) movies and short video clips, (f) demonstrations, (g)hands-on activities (including those based on virtual reality and augmented reality), (h) teamingand communication exercises, (i) small-scale inquiry-based research, (j) presentations, and peer-based teaching/learning, (k) visual click-based e-book, (l) community and social engagement,and (m) challenges beyond the basics.The main idea As mentioned earlier, this paper focuses on introducing three
. She has also helped catalogue lead fishnet weights from Uluburun, a late Bronze Age shipwreck, in Turkey. In her free time, she works as the co-founder and CDO of Bezoar Laboratories LLC, a R&D company focusing on probiotic supplements.Mr. Rogelio Casas Jr., Texas A&M University Rogelio Casas Jr. was an ESET student at Texas A&M University and graduated in the Fall of 2018. He was the Project Manager throughout the project and is currently working at General Motors in Austin, Texas as a Software Developer. He plans on continuing his education through hands-on training and a potential Masters in Computer Science.Erika L. Davila c American Society for Engineering Education, 2019
: http://www.bls.gov/careeroutlook/ [Accessed Feb. 3, 2019].[5] National Research Council, Successful K-12 STEM education: Identifying EffectiveApproaches in Science, Technology, Engineering, and Mathematics. Washington, DC: NationalAcademies Press, 2011.[6] National Research Council, A Framework for K-12 Science Education: Practices,Crosscutting Concepts, and Core Ideas. Washington, DC: National Academies Press, 2012.[7] NGSS Lead States, Next Generation Science Standards: For states, by States. Washington,DC: National Academies Press, 2013.[8] National Science and Technology Council, Federal Science, Technology, Engineering, andMathematics (STEM) Education: 5-year Strategic Plan. Washington, DC: Committee on STEMEducation, 2013.[9] National
be implemented in large laboratory courses.More work is planned in analyzing a more diverse sampling of discussion questions and in evaluatingstudent self-perception of their critical thinking skill development.References 1. Zhao, Y. "Impact of Oral Exams on a Thermodynamics Course Performance.". 2018 ASEE Zone IV Conference, Boulder, Colorado, 2018, March. 2018, March. 2. Woods, D. R., Felder, R. M., Rugarcia, A., & Stice, J. E. (2000). The future of engineering education III. Developing critical skills. change, 4, 48-52. 3. Felder, R. M., & Brent, R. (2004). The intellectual development of science and engineering students. Part 2: Teaching to promote growth. Journal of Engineering Education, 93(4
studying civil engineering at Cornell University. She par- ticipated in the Nebraska Summer Research Experience for Undergraduates and is currently working on writing her own research proposal related to transportation in urban areas. She plans on pursuing a grad- uate degree in Civil Engineering. c American Society for Engineering Education, 2019 Work in Progress: Moving from outside to inside - traffic engineering field exercises through virtual realityAbstractThe study of traffic engineering typically uses field observations of traffic. These fieldobservations take place along highways and at intersections. Field observations have severalissues including the exposure to traffic
understanding by exploring engineering students’ researchexperiences through an interweaving of quantitative survey data and connected qualitativeinterviews. By integrating quantitative and qualitative data, we can better understand students’researcher identities and ultimately better support their research academic and career choices.Introduction and BackgroundUndergraduate research experiences (UREs) give students the opportunity to understand what itis like to be a researcher while enhancing their metacognitive and problem-solving skills [1].Exposure to UREs can help prepare students for a thesis-based graduate program and, morebroadly, can help them clarify their career plans and goals. UREs have been shown to increasestudents’ confidence in their
collaborative and inclusive environment, establishgoals, plan tasks, and meet objectives, and Outcome 7 - an ability to acquire and apply newknowledge as needed, using appropriate learning strategies. This paper discusses the issues,benefits, and effective approaches in designing and executing multidisciplinary undergraduateresearch projects.The remainder of this paper is organized as follows: Section 2 introduces Marine Corps weaponoperation and maintenance. Section 3 describes the design and implementation of the ARproject for M16A4. Section 4 presents current results. Section 5 discusses future work andchallenges.2. Marine Corps Weapon Operation and MaintenanceOne important use of augmented reality is equipment operation and maintenance [1, 2
Work-in-Progress: A Web-Based Tool to Assess Computational ThinkingAbstractWhen President Obama unveiled his plan to give all students in America the opportunity to learncomputer science [1], discussions about Computational Thinking (CT) began in earnest in manyorganizations across a wide range of disciplines. However, Jeannette Wing stated the importanceof CT for everyone a decade earlier in her landmark essay [2]. Since then, several people andorganizations have posted their own definition of CT, which presents a challenge in being able toassess CT understanding and awareness in people. In an effort to build consensus on how to bestassess CT, the authors have developed a web-based tool that will enable CT experts globally
on this project has included the creation of the server with the database and thewebserver, and the simultaneous transmission of data from four Arduino/ESP8266 module pairs.Work continues on fine tuning the database and on expanding the number and type of graphicalobjects that can be used to display the data from the database. It is our intention to introduce thisproject into one or more sections of our ENGR 122 courses in the upcoming spring quarter thatruns from March 12, 2019 through May 24, 2019. We have identified a place in the curriculumfor this course that we believe will be suitable and that occurs just after the midpoint of thequarter. There are several mechanisms that we plan to use to assess the outcomes of this project.Since one
diversity) anda sense of community that allows students to learn from each other [3], [4]. However, this isparticularly difficult in large online courses because it is practically impossible to connect withevery single student and follow his/her progress in detail.The literature has also reported other problems that instructors face when shifting from face-to-face to online learning environments that I too have experienced. For example, the time neededfor the “significant upfront planning and organization” because materials should be loadedbefore the semester starts [2]. This is one of the issues that explains my struggle with thecommunicating assignment instructions. Another is translating and modifying materials from theregular classroom to the
constraints are very important for first-year engineering students and are also emphasizedin the course. Students are taught that the design process requires an open mind, and awillingness to fail. Efficient time use is important, since usually the first design solutions, orprototypes, are not the best design options and improvements must be made. As part of this first-year engineering course, students create Gantt Charts and a project management plan. Thisassists student in staying on track in meeting the project and course goals, and in using the coursetime efficiently. Their time in lab may be the only time that the whole team can meet togetherand have access to the lab equipment. It is also important that the team works effectivelytogether. An
), 2012. IEEE, 2012.[12] M. Mohammadi-Aragh, R. Kajfez, and A. Clark, “Establishing a Baseline and Future Plans for Exploring Engineering Community and Identity,” 125th Am. Soc. Eng. Educ. Annu. Conf. Expo., 2018.[13] A. M. Clark, R. L. Kajfez, and M. J. Mohammadi-Aragh, “Work in Progress: Baseline Survey about Community and Identity,” 125th Am. Soc. Eng. Educ. Annu. Conf. Expo., 2018.
they can do to succeed in their courses. This isshown in both a heavily analytical course (Dynamics) and a more qualitative course (SCADA). Even more interesting is that none of the students in the SCADA class studied with otherstudents. The conclusion we come to here, is that this may have been related to the type of course(analytical vs. qualitative) selected to include in this analysis, but we recognize that there areseveral other factors that could influence this behavior. In the future we plan to revisit questionsin the Formative and Summative surveys to help students and instructors to better understandcriteria that leads to satisfactory performance.6 References[1] M. Kaplan, N. Silver, D. LaVaque-Manty, and D. Meizlish, Using
.225 Passive .1102 10.838 525 .000* Out-of-class .729 .270 In-class .269 .256 Disengaged -.0709 -7.277 536 .000* Out-of-class .340 .250Future WorkWhile we have shown the SCCEI measures modes of cognitive engagement inside and outside theclass distinctly, work remains to clarify the meaning of these constructs to students and educators.We plan to continue this work both quantitatively and qualitatively. We have proposedinterviewing students with respect to their
description of this case, documentation, archival records, interviews,direct observations, surveys, and both physical and digital artifacts were be used for datacollection and analysis. Data collection included direct observations of participants using fieldnotes, photography, and audio/video recordings. Both physical and digital artifacts wherecollected throughout the study including planning documents, the final “demo reel” of the movieeffect, blogs, Slack conversations, Trello project boards, and student-generated photos/videosthat were shared in a course repository.AnalysisAnalysis for this work-in-progress paper focuses on findings from exit interviews and end-of-course survey. All interviews were transcribed and analyzed in NVivo 12 qualitative
ability to solve most problems, even if no solution is immediately apparent to me. PSC 9 Many problems I face regularly are too complex for me to solve without assistance. PSC 10 When starting a problem, I tend to try the first solution method I think of to solve it. AAS 11 When deciding on a solution method, I do not consider the chances of success of each method AAS versus the time investment required to implement each method. 12 When I make a plan to solve a problem, I am almost certain that I can make it be successful. PSC 13 I try to predict the overall outcome
issues identified broadly inengineering education community has not yet been made, so comparisons currently are limited.However planned future use of consensus reports to identify issues should enable ad hocjudgements of how EER is achieving policy impacts and identification of relevant concernsexpressed by administrators.Bibliography[1] A. Campanini, “Bologna Process,” in International Encyclopedia of the Social & Behavioral Sciences: Second Edition, 2015.[2] H. Blumer, “Symbolic interactionism: Perspective and method,” in The methodological position of symbolic interactionism, Oakland, CA: University of California Press, 1986.[3] C. Groen, D. Rutledge, and L. McNair, “An Introduction to Grounded Theory: Choosing and
learning. Section 3 discusses how thesystem integrates with the existing cornerstone design course curriculum, including activities,lesson plans, and support via hands-on demonstration pieces. Finally, Section 4 offers concludingthoughts for future research and evaluation.2. DESIGN AND CREATION OF THE MAKING SOLUTION In order to address the need for a complete, fully interactive, yet easy-to-use printing systemin a cornerstone engineering design course, a final solution was developed over the course ofseveral semesters. This development process included initial iterations created by two separatecapstone design teams, with undergraduate research volunteers providing the final touches fordesign and construction. The result is a system dubbed the