activities was to augment the existing Kinematics of Mechanisms classwith human kinematics and protein kinematics concepts in the form of interactive cross-disciplinary experiences in order to enhance student knowledge in the area of kinematics andprepare them to be successful in their future jobs. Before each project, there were a number ofplanned activities, such as detailed description of the project with included main objective(s)and recommended research papers and instructions for the successful completion. As a nextstep, the students were required to come up with possible solutions to the open-ended researchprojects. To increase the quality of writing [23] and presenting, the students were asked to submitreports, as well as give oral
interventionthat can be employed broadly to improve the self-efficacy of both pre-service and in-serviceteachers for teaching engineering, thus preparing future generations to make a global impact.References[1] C. Riegle-Crumb, K. Morton, C. Moore, A. Chimonidou, C. LaBrake, S. Kopp, “Do Inquiring Minds Have Positive Attitudes? The Science Education of Preservice Elementary Teachers,” Sci. Educ. vol. 99, pp. 819-836, 2015.[2] C. Alexander, G. Mayes, S. Hopper, S. Thiruvadi, and G. Knezek, “An Investigation of the Impact of Digital Fabrication Projects on Pre-Service Teachers’ Attitudes and Skills” in Proceedings of th Society for Information Technology and Teacher Education International Conference, SITE 2012 Austin, TX
cycles, with definite goals reached each iterative cycle. Agile requiresteams to break large tasks, such as designing a system to act upon GPS data, into small, bite-sizedpieces. In the GPS example, this would involve turning the overall goal into objectives able to becompleted in 1-2 weeks like: • Design an interface to poll the EMLID system for positional data Figure 4: Drive by wire hardware for braking and steeringFigure 5: The Reach GPS unit and an example of the waypoints collected along a driving path.Data plotted using ♠❛♣s✳❣♦♦❣❧❡✳❝♦♠. • Develop an algorithm to extract heading and velocity data from progressive geographical timestamps • etc.The Agile mindset proved highly useful to our senior design team
civil engineers do.AcknowledgementsThis material is based upon work supported by the National Science Foundation under AwardNo. EEC-1733636. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation. We would also like to thank our participants, who have given generously oftheir time to help us better understand their experiences.References[1] M. W. Ohland, S. M. Lord, and R. A. Layton, “Student Demographics and Outcomes in Civil Engineering in the United States,” J. Prof. Issues Eng. Educ. Pract., vol. 141, no. 4, p. 7, 2015.[2] C. Groen, L. D. McNair, M. C. Paretti, D. R. Simmons, and A. Shew, “Exploring
for the IEEE Frontiers in Education Conference. She has also been recognized for the synergy of research and teaching as an invited participant of the 2016 National Academy of Engineering Frontiers of Engineering Education Symposium and the Purdue University 2018 recipient of School of Engineering Education Award for Excellence in Undergraduate Teaching and the 2018 College of Engineering Exceptional Early Career Teaching Award. c American Society for Engineering Education, 2020 Exploring the Early Career Pathways of Degree Holders from Biomedical, Environmental, and Interdisciplinary/Multidisciplinary Engineering Jacqueline Rohde, Jared France, Brianna S. Benedict, and Allison
analytic lens may contribute to understanding about how co-peersand peer-designers might most effectively play roles in changing faculty practice, and ultimately,in creating more inclusive learning environments for diverse students.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant No.#1623105. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References[1] M. Meyer and S. Marx, "Engineering dropouts: A qualitative examination of why undergraduates leave engineering," Journal of Engineering Education, vol. 103, no. 4, pp. 525-548, 2014.[2] S. E
program assessment was developed. The first step was the mappingof each performance criteria to a Criterion 2 (a through k) competency. A check was thenperformed to ensure that each a through k competency was represented at least once as a primarymapping. The result of this work is shown in Table 1. Table 1 – Criterion 2 Outcomes Mapped to Program Outcomes and Program Objectives ABET ProgramCriterion 2 Program Outcome Objective(s) a 1i: Demonstrate the proper use of appropriate software to solve 1 technical problems 4i: Solve structured technical
maintain a semester-long term project that examines real environmentalproblems, which our student teams (3-4 students of varying academic majors) observe or clients(such as the Department of Public Works or our student government) identify. Preparation forthe project requires student teams to develop a hypothesis and a basic sampling and evaluationprotocol. Students then use the protocol to conduct sampling in the local community and analyzeresults in light of their hypothesis. Students are required to submit a final written report. Thisterm project model also encourages interdisciplinary collaboration with non-STEM disciplines,such as the Marketing course in USMA‟s Department of Behavioral Sciences and Leadership.This cross-cutting educational
. Engaging the current technology-hungry college student is thus promising,possible and necessary; but with over 100,000 applications available for the iPad alone, criticalquestions remain. What applications, tools and methods truly enhance the learning environmentand what educational benefit, if any, do the students receive through the use of these devices?How do we integrate these devices in a way that appeals to our students, Prensky‟s “digitalnatives”4, when most of our professors are “digital immigrants”, without placing unmanageableburdens on the instructional team? The current literature examines the use of tablet devices in the college classroom but nostudy focuses on the use of iPads in the engineering classroom. An
non-users.The indicative components did not show a significant difference between users and non-users.However, three of the indicative components were being used by 85% or more of concept testusers (Table 2) (having students: “participate in activities that engage them with course contentthrough reflection and/or interaction with their peers”, “provide that answer(s) to a posedproblem or question before the class can proceed”, and “discuss a problem in pairs or groups”).The high percentage of users spending time on these activities shows that they are used inconjunction with Concept Tests, but also with other RBIS or in the general classroom as well
sophomores,7 juniors, and 10 seniors). The statistical methods and techniques used in this study include:descriptive statistics, analysis of variance (ANOVA) tables, spider charts, hypothesis testing,regression analyses, percentage change, and percentage difference.From the sample data analyzed, MUSE students consistently demonstrate higher behavior stylesof S-Steadiness and C-Conscientiousness with slightly lower behavior styles of D-Dominanceand I-Influence. Most female students possess Social and Aesthetic attitudes, while males aremore Utilitarian; both are Traditional and Theoretical. For People Skills, MUSE studentsimproved and/or mastered 19 of the 23 areas by the senior level, but lack mastery of skills inConflict Management, Creativity
year Page 25.896.7attending intense Swedish-as-a-second-language training in Stockholm. This would be non-curricular and the tuition fee would be nominal. Additional Swedish language training could betaken at KTH during the Fall semester as part of the VT KTH dual degree curriculum (i.e.,free elective for the KTH BSME degree and a technical elective for the VT BSME degree).Curricular Redesign at TUDThe above example illustrates a slow conformance to the Bologna process. The mechanicalengineering program at TUD, however, approached the same situation very differently12: By thelate 1990’s, the TUD mechanical engineering faculty had come to the
Courses Focused on Tissue Engineering ApplicationsProceedings of the 2002 American Society for Engineering Education Annual Conference &Exposition; 2002.8. Pittsburg Tissue Engineering Initiative I. An Education Outreach Manual in TissueEngineering. In: Pittsburg Uo, editor. 2010.9. Birol G, Liu S, Smith D, Hirsch P Educational Modules in Tissue Engineering Based on Page 24.528.10the “How People Learn” Framework. Bioscience Education E-journal. 2006;7.10. Bhatia S. A disease-centered approach to biomaterials education and medical devicedesign. 33rd Annual International Conference of the IEEE EMBS
contributions of Philipp Müller and Adam Probst of the TechnicalUniversity of Munich, Shanon Gilmartin, and the support of all of our colleagues in theDesigning Education Lab at Stanford University. This work was supported by the NationalScience Foundation as a collaborative research grant (NSF-DUE-1020678, 1021893, 1022024,1022090, and 1022644). Any opinions, findings and conclusions or recommendations expressedin this material are those of the authors and do not necessarily reflect the views of NSF.Bibliography1. Byers, T., Seelig, T., Sheppard, S., & Weilerstein, P. (2013). Entrepreneurship: Its Role in Engineering Education. Summer Issue of The Bridge on Undergraduate Engineering Education, 43(2), 35-40.2. Bonnett, C., &
the conceptual design phase andabout 75% of the preliminary design phase. Teams had presented a Conceptual Design Reviewand Preliminary Design Review to the AerosPACE Advisory Board. The purpose of this sectionis to demonstrate what the multi-disciplinary, multi-university teams were able to accomplishafter one semester.Figure 4 shows Team 1’s interpretation of the UAV mission profile. Each team was asked torespond to the RFP and throughout the conceptual and preliminary design phases a clearunderstanding of the mission requirements was emphasized. Figure 4. Team 1 PDR RequirementsAn important outcome of the conceptual design phase is a constraint diagram to identify feasibledesign space based on takeoff, maximum
senior-level undergraduatestudents with a minority of graduate students. The course is a four-credit class, and involvesboth a lecture and a laboratory component. The lectures, however, do not introduce any newfundamental principles in the fluid and thermal sciences. Instead, the lectures serve to reviewand apply principles that have already been taught in introductory classes in thermodynamics,fluid mechanics and thermal energy transport. The laboratory component is strictly gearedtoward design, synthesis and evaluation, utilizing knowledge, and comprehension learned inprevious courses.The Fluid and Thermal System Design course was instituted in the 1970’s to be the primary fluidand thermal design experience for graduating seniors. As a four
act with respect to context, or to a string ofcorrelated events. For our purposes, we need an agent that is able to make a judgment based onthe current information it has about what a user has done thus far in a problem situation. This“internal state” defines each step of a proof in the context of what has already been attempted.The basic operation of such an agent is shown in Figure 4. This will be our basic architecture forour first experiments. Figure 4: Algorithm for Reflex Agent with StateGoal-Based AgentsAt the heart of all tutoring systems lies the a priori knowledge of expert(s) in the chosen domain
E S ALL EE COURSES A V E R A G E Q U A L IT Y O F O P P O R T U N IT Y 54 .5 43 .5 32 .5 21 .5 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 E D U C A T IO N A L O U T C O M E S ALL EE COURSES A V E R A G E A C H IE V E M E N T 54 .5 43 .5 32 .5 21 .5 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 E D U C A T IO N A L O U T C O M E S Figures 3 A, B, and C Student Survey Results for All EE
Ensure code quality through automated continuous testing.Data Collection and AnalysisTo examine how the semester-long experience impacted students, we regularly requestedstudents to reflect on the learning experience. After each SET lesson, we asked the followingfour reflection questions: - What is/are the most important concept(s) you have learned? - How will you use the skills you have developed from this workshop for your project? - What might be the challenges or barriers to implementing ideas from this workshop? - What support would be helpful to have in implementing ideas from this workshop?At the end of the semester, an exit survey was conducted with the following questions: - What was the most useful thing you have learned
experiences.Future research should consider exploring teamwork dynamics in diverse URPs across differentgeographical and disciplinary contexts to generalize the findings as well as compare teamworkexperiences across various URPs to understand the impact of different institutional cultures andprogram structures. Additionally, longitudinal studies could offer a deeper understanding ofhow teamwork skills developed in URPs impact students’ professional careers. References[1] K. W. Bauer and J. S. Bennett, “Alumni Perceptions Used to Assess Undergraduate Research Experience,” J. High. Educ., vol. 74, no. 2, pp. 210–230, 2003.[2] D. Lopatto, “Undergraduate Research Experiences Support Science Career Decisions and Active Learning,” CBE—Life Sci. Educ., vol
fiveundergraduates identify as disabled [11]. Yet, in engineering such substantive data is almostentirely unavailable. The National Science Foundation (NSF)’s 2023 Diversity and STEM:Women, Minorities, and Persons with Disabilities report states, “compared with data for othergroups, data on postsecondary degrees earned by persons with disabilities are limited” [1] and assuch, provides no data on disabled engineering undergraduate students and diminutive data ondisabled engineering doctoral students. Whether it be funding, available statistics, access, orsupport, the lack of care toward disabled students in engineering is apparent and intentional [12]–[16].This paper explores the availability of data for disabled students in postsecondary engineeringprograms
components (usedefinitions below)? (Note: the percentages should total 100--do not type % sign, just numbers).Enter 0 for a component if not a part of your course grade. NOTE: Please be as accurate aspossible, but exact percentages are not necessary if you can provide a good “ballpark” number. Attendance Class participation (beyond just attending) Final exam - deliverable that is normally expected to be completed by an individual student at the end of the course, but may involve group work. Typically covers multiple modules of a course, often cumulative. Midterm(s)/Exam(s) - deliverable that is normally expected to be completed by an individual student, but may involve group work. Typically covers multiple lessons
abilities.”6 These objectives were achieved utilizing a variety of Page 22.1605.3active learning methods, including lecture, demonstration, problem solving, collaborative work,formal team work, and peer learning. The assessment was done as formative assessment via oraland written reports and tests; and summative assessment with the completion of theimplementation of the website for the final grade. Interviews were conducted to acquire feedbackfrom the students on their perception of the learning experience using the Lesson‟s Learnedapproach.Course DescriptionIT Project Management was designed with two pedagogical approaches to learning
, they must also understand theory of speed-up and scaling, both scale-up and scale-outas well as co-processor scaling. Students are challenged at the end of the course to pick aprogram to design or re-design and to show significant speed-up, comparing results to Amdahl’slaw, based on parallel hardware and parallel programming methods used5,6. Modern systemshardware can make selection of the appropriate value for scaling factor used in Amdahl’s law,“S,” a non-trivial decision. Amdahl’s law and a very convenient algebraic equivalence I callSiewert’s law makes analysis simple since speed-up (SU) can be measured with time-stamps andP computed if S is well understood. 1Equation 1: Amdahl’s law is SU
Affecting the Future Career Pathway Decisions of Lower-income Computing Students1. IntroductionWithin research on broadening participation in computing, the experience and perspectives ofundergraduate students have been important elements of exploration. As undergraduate studentsare experts of their own experience, conducting research that focuses on understanding theirperspective can help those who organize programmatic efforts to respond to student needs andconcerns. This paper emerges from the context of a specific National Science Foundation (NSF)-funded Scholarships in Science, Technology, Engineering, and Mathematics (S-STEM) program.As with all S-STEM programs, Florida Information Technology Graduation
+ stress OR Latin* student + stress OR Indigenous student + stress”, “Black student + distress OR Latin* student + distress OR Indigenous student + distress”, “Black student + trauma OR Latin* student + trauma OR Indigenous student + trauma.”To appropriately scope the literature review, we used multiple exclusion criteria. First, anyliterature focusing on faculty, graduate students, or postdoctoral students was omitted. Second,literature published before the year 2000 was excluded as much has changed in the field oftrauma studies since the 1990’s. Lastly, any guest editorials or conference proceedings that didnot include a paper were excluded from the literature review.After an initial search through the journal databases, we screened the
, “Software Carpentry: Getting scientists to write better code by making them more productive,” Computing in Science & Engineering (CiSE), vol. 8, no. 6, pp. 66–69, Nov. 2006. [8] A. Simperler and G. Wilson, “Software Carpentry – get more done in less time,” arXiv:1506.02575, Jun. 2015. [9] B. K. Weaver, “The efficacy and usefulness of Software Carpentry training: A follow-up cohort study,” Master’s thesis, The University of Queensland, 2019.[10] A. Berg, S. Osnes, and R. Glassey, “If in doubt, try three: Developing better version control commit behavior with first year students,” in ACM Technical Symposium on Computer Science Education (SIGCSE), Feb. 2022, pp. 362–368.[11] V. Garousi, G. Giray, and E. T¨uz¨un, “Survey of the
/10.1364/AO.32.001154.[2] P. K. Koech, M. Ogini, S. Mohan, A. Alice Francis, M. Deo, S. Albin, and K. B. Sundaram, “Characterization of Silicon Nanowires Reflectance by Effective Index Due to Air-Silicon Ratio,” ECS Transactions, 89(4), 17–30, 2019. https://doi.org/10.1149/08904.0017ecst[3] S. Patchett, M. Khorasaninejad, O, N., and S. S. Saini, “Effective index approximation for ordered silicon nanowire arrays,” Journal of the Optical Society of America B, 30(2), 306. 2013. https://doi.org/10.1364/josab.30.000306.[4] F. Kimeu, S. Albin, K. Song, and K. C. Santiago, “ALD-passivated silicon nanowires for broadband absorption applications,” AIP Advances, 11(6), 065101, 2021. https://doi.org/10.1063
Feb 12, 2023].[3] R. B. Sepe and N. Short, “Web-based virtual engineering laboratory (VE-LAB) for collaborative experimentation on a hybrid electric vehicle starter/alternator,” IEEE Transactions on Industry Applications, vol. 36, no. 4, pp. 1143-1150, July 2000.[4] H. Hodge, H. S. Hinton, and M. Lightner, “Virtual circuit laboratory,” Journal of Engineering Education, vol. 90, no. 4, pp. 507-511, Oct. 2001.[5] H. Gurocak, “E-Lab: An electronic classroom for real-time distance delivery of a laboratory course,” Journal of Engineering Education, vol. 90, no. 4, pp. 695-705, Oct. 2001.[6] M. Koretsky, C. Kelly, and E. Gummer, “Student perceptions of learning in the laboratory: Comparison of industrially situated virtual
startup and casting safety protocols aspart of her M.S. project.Referencesi R. W. Heckel, W. W. Milligan, C. L Nassaralla, J. Pilling, M. R. Plichta, “Benefits of CapstoneDesign Courses in Materials Education,” Science and Technology of Polymers and AdvancedMaterials, P. N. Prasad, J. E. Mark, S. H. Kandil, Z. H. Kafafi, (eds), Springer, Boston, MA., 1998.https://doi.org/10.1007/978-1-4899-0112-5_75ii M. Schaefer, “Use of Casting Simulation and Rapid Prototyping in an Undergraduate Course inManufacturing Processes,” ASEE Annual Conference & Exposition, 2016.iii K. Molyet, “Providing a Meaningful Lab Experience for a Manufacturing Processes Course,”(,” ASEE IL-IN Section Conference, 2019. https://docs.https://docs.lib.purdue.edu/aseeil