or recommendations expressed inthis material are those of the authors and do not necessarily reflect the views of NSF.References[1] L. Farrell, “Science DMZ: The fast path for science data,” Sci. Node, May 2016. [Online]. Available: https://sciencenode.org/feature/sciencedmz-a-data-highway-system.php[2] E. Dart, L. Rotman, B. Tierney, M. Hester, J. Zurawski, “The science dmz: a network design pattern for data-intensive science,” in Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis, Nov. 2013.[3] “NSF 2017 PI Workshop CI Engineer Breakout Survey.” [Online]. Available: http://www.thequilt.net/wp-content/uploads/NSF-2017-PI-Workshop-CI-Engineer- Survey_v4.pdf[4
, 2018.[8] C. J. Groen, D. R. Simmons, and E. D. McNair, “Disciplinary influences on the professional identity of civil engineering students: Starting the conversation,” in American Society for Engineering Education Annual Conference, 2016.[9] F. Barth, “The analysis of culture in complex societies,” Ethnos, vol. 54, no. 3–4, pp. 120– 142, 1989.[10] B. Pfau-Effinger, “Culture and welfare state policies: Reflections on a complex interrelation,” Journal of social policy, vol. 34, no. 1, pp. 3–20, 2005.[11] L. Cronk, That complex whole: Culture and the evolution of human behavior. Routledge, 2019.[12] M. A. Guerra and T. Shealy, “Teaching User-Centered Design for More Sustainable Infrastructure Through Role-Play and
Requirements Through 2018. LuminaFoundation, 2010.[4] A. P. Carnevale, N. Smith, and J. Strohl, “Recovery: Job Growth And EducationRequirements Through 2020,” Jul. 2013.[5] G. Markle, “Factors Influencing Persistence Among Nontraditional University Students,”Adult Educ. Q., vol. 65, no. 3, pp. 267–285, Aug. 2015.[6] “National Center for Educational Statistics: Enrollment in Postsecondary Institutions Fall2011 and graduation rates, selected cohorts 2003-2008. Retrieved fromhttps://nces.ed.gov/programs/digest/d11/tables/dt11_200.asp.”[7] C. Hittepole, “Nontraditional Students: Supporting Changing Student Populations.” StudentAffairs Administration in Higher Education, 2015.[8] R. Brindley and A. Parker, “Transitioning to the classroom: reflections of
2 ft x 2 ft interlocking rubber mats. It is intended to protect the drones fromdrop impacts to the floor and to reduce reflections off of the floor. The lab is equipped with 17 ft (length)x 20 ft (height) of netting that is required to protect the users from autonomous vehicles operating in theworkspace. This netting can be attached to the ceiling, or the net can be secured at the base - using tablelegs, and wall hooks - to ensure that the net is taut. Figure 2. A sample of the mission server control window for a testing setup 7 The ground station QDrone mission server employs a matlab/Simulink-based software package. In each flight, the matlab Simulink software is employed
about. In contrast,amongst women born overseas, more explanation was needed, both on their part and mine. Thiswas reflected in their opening narratives as well.Here is Kalpana, a young engineer who was educated in India and came to the United States forgraduate school: Me: How did you become interested in engineering as a career? Kalpana: So I think the main reason goes back to my family, and what my parents, even my grandfather, what they did, how they thought about things. That’s what got me into physics or math or engineering in general. My grandfather was a schoolteacher and eventually the principal of the school. He never got to study more than a bachelor’s level. In spite of that, the amount of
storage spaces, build spaces, andworkbenches. High-resolution tool-use data collection is set to begin spring of 2020 at TexasA&M, including details that will remove some of these limitations.Because of these limitations a hypothetical dataset was created to reflect student-toolinteractions. This hypothetical dataset is guided by current data and engineering curriculum forTexas A&M, so the results are reasonable. These results present a picture of the design advicemodularity analyses will be able to provide once additional data is available.Hypothetical student-tool network creation © American Society for Engineering Education, 2020 2020 ASEE ConferenceA hypothetical-realistic
throughoutthe planning and implementation phases. Since its launch, educators have used the materials in avariety of ways, some of which the development team had not previously considered. This paperwill particularly focus on the implementation and evaluation of the engineering content on thesite. We will present and discuss results from (1) educator feedback surveys, (2) websiteanalytics, and (3) educator focus groups. We will also reflect on the challenges and opportunitiesin promoting new web-based educator materials. Our team has implemented a number ofstrategies to reach teachers, including social media, conference attendance, and emailnewsletters. Now that the materials have been available for over 18 months, we are able to sharelessons learned
demonstration; come to a consensus on their interpretations of the concepts; orcomplete a quick example of each concept. A key component of the interactive lecture is that no“solution” slides are provided. The teams must work through the calculations or reflections togain a complete set of slides. This forces all students to engage in the lecture. Answers are sharedout in the larger group and the instructor guides the discussion of the answers so as to ensure acommon understanding of the concepts.Our initial assessment shows a marked improvement in student understanding of the relevanthydrodynamics concepts necessary to designing an underwater vehicle. Students are able toconverse more knowledgeably on hydrodynamics, and the ROV designs are more
and the breakdown of each assignment in the project (i.e. market analysis, business model…) • It was cool • The project was interesting and realistic data collection process was good to experience • Let’s you reflect on what I’ve learned • I liked the real world applications and going over data analysis techniques • It was well rounded, showed another side to research • I liked how we went through the whole process in regards to creating and running a study • Benefited senior project exploration, technical writing and formatting skills • Working on real world problems • Project based class • I liked how we had freedom to decide what we wanted to do for our human performance project, it
,” J. STEM Educ., vol. 18, no. 2, pp. 10–17, 2017.[4] T. Kinoshita, G. Young, and D. B. Knight, “Learning after learning: Perceptions of engineering alumni on skill development,” Proc. - Front. Educ. Conf. FIE, vol. 2015- Febru, no. February, 2015.[5] L. C. Strauss and P. T. Terenzini, “The Effects of Students’ In- and Out-of-Class Experiences on their Analytical and Group Skills: A Study of Engineering Education,” Res. High. Educ., vol. 48, no. 8, pp. 967–992, Dec. 2007.[6] G. Young, D. B. Knight, and D. R. Simmons, “Co-curricular experiences link to nontechnical skill development for African-American engineers: Communication, Teamwork, Professionalism, Lifelong Learning, and Reflective Behavior Skills,” in 2014
completion of the group project proves untrue. Though this is the case, it is worth noticing that team dynamics in Section 1 deteriorates in a statistically significant manner (see Table 7 where t = 1.38, nu = 29, and p<0.05) whereas there is no statistically significant difference when comparing answers to Question 2 (Q2) for pre- and post-project survey results in Section 2—see Table 12 where t = 0.83, nu = 41, and p>0.05. This is also reflected in the respective median score as that of Section 1 decreases from 9 (pre-project) to 8 (post-project), while that in Section 2 stays constant at 8. Put differently, the answers to
community colleges that can supportand facilitate their transition into community college faculty positons.9 AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grants No.1723209 and 1723245. 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.10 References[1] R. W. Fairlie, F. Hoffmann and P. Oreopoulos, "A Community College Instructor Like Me: Race and Ethnicity Interactions in the Classroom," The American Economic Review, vol. 104, no. 8, pp. 2567-2591, August 2014.[2] A. Perrakis and L. S. Hagedorn, "Latino/a Student Success in Community Colleges and
had a serious problem with team dynamics that required the instructor’s intervention.Based on this evaluation, we will place more emphasis on teams’ planning of activities and haveScrum Masters pay closer attention and give more frequent feedback regarding teams’implementation of their plans.These rubrics, as well as ways of using them, are still a work in progress. Keeping teams on trackwith their project management is still a challenge. Some students view it as an unnecessaryburden, which can detract from their motivation. Teams do show improvement over the course offour sprints, but we have to keep reminding them of the importance of this segment of theirproject. Our hope is that this experience will be reflected in more effective
DiscussionBy fall 2019 semester, about 260 students had participated in the online survey, 68.92% male,and 30.28% female and 0.8% identified as other. The online survey addressed pre-college,family background, campus life and faculty interaction, peer interaction, extra-curricularactivities, internship experience, and social life. Charts reflecting this data can be seen inAppendix C. Of those surveyed, 41.67% were Mechanical Engineering students, 13.33% wereBiomedical Engineering, 18.33% Civil Engineering, 16.67% Chemical Engineering, 8.33%Electrical Engineering, and 1.67% Engineering Entrepreneurship.When surveyed about family background, almost 29.49% of the participants responded that theyhad an immediate family member in the engineering field. As
. Question pertained to the topics currently covered in theDifferential Equations course and their perceived importance by the respondents. There is avariation between these topics and those surveyed in 2017; this reflects the desire of the team tooffer some other topics not covered in 2017.Question 2: What is your perception of what the students learn and/or the level of instruction inMATH 301 (Differential Equations – in terms of topics covered) (Conditional on answering“yes” to Question 1 above).Fourteen people answered this question; the results can be seen in Graph 3. As can be noted, noengineering faculty chose “Exceeded Expectations”, thus confirming the necessity of thisinitiative, but 71% claimed that the course and/or student achievement
analysis relied upon thequalitative methodology of open coding; that is, a strategy that divides the narrative data intodiscrete units of analysis (quotes) reflective of the major themes that are embedded in the wordsof study participants [15]. The coding scheme represented emergent themes and variables ofinterest, including challenges and strengths of the workshops. Themes are presented below withillustrative quotes drawn from the participant responses (in italics), staying true to the language ofthe participants.5.2. Participant demographicsSixty-six participants completed a survey from one of the four workshops on MRE Education. Themajority of these participants were white, male, and current faculty. • 74% Male (87% of the sample reporting
NationalScience Foundation Graduate Research Fellowship under Grant No. DGE-1650044. Anyopinions, findings, and conclusions or recommendations expressed in this material are those ofthe authors and do not necessarily reflect the views of the National Science Foundation.References[1] M. E. Derro and C. R. Williams, "Behavioral competencies of highly regarded systems engineers at NASA," presented at the 2009 IEEE Aerospace conference, 2009.[2] R. Valerdi and W. B. Rouse, "When systems thinking is not a natural act," presented at the 2010 IEEE International Systems Conference, 2010.[3] M. Tomko, J. Nelson, R. L. Nagel, M. Bohm, and J. Linsey, "A bridge to systems thinking in engineering design: An examination of students’ ability
due to using a different browser that did not allow editing of during class compared to earlier semesters. Instead, stepped pdfs but was faster to log in. In part, this was a work-around to through solution steps as the solutions were already sigiificant WiFi connectivity issues that were experienced in the prepared. classrooms this semester. The instructor observed that in 2018, students did not understand the Empasized student reflection on considering the
plugging the resistors into ablinking LED circuit to determine the relationship between LED brightness and resistorstrength. The weak resistor showed a bright LED, while the strongest resistor displayed nolight. Each lesson in the MMC was designed to highlight the microcontroller's software forspecific CT skills. Students trained to read circuit diagrams by plugging the expected pins onthe Arduino board; most circuit activities in MMC are comprised of LED lights and buttons.Ultrasonic sensors were introduced within the Arduino IDE, and text-based programminglanguage was used to teach students how to reflect the Scratch structure. As a result, studentslearned to correlate how the blocks programming corresponds to real-world coding. On
note in comparing the two surveys is the larger number willing toindicate that they saw no improvement in a particular skill as a senior over when they were ajunior. Further study is needed to determine how much of this is reflective of the skillsdevelopment in the classes versus students being more discerning in their responses afterspending a year in the program. Figure 5. Skills Survey Responses for “Manage and Act Professionally” Skills in MFGE 332The other skill categories show significantly more variability in the student responses. Again,this is not surprising since most of the skills practiced in these classes fall under the problem-solving group. However, even here there can be seen some agreement with the skills-to-outcomes mapping
between the ages of three to five years acquire these skills. The second development stagereferenced by Piaget is visualizing objects in three-dimensional forms and being able to perceivethese objects from different dimensions via mental rotation. Students typically acquire this skill byadolescence for objects they are familiar with [24]. He cautions, however, that if the object is notfamiliar, students may have difficulty in visualizing the object even while in college. Piagetclassified projection skills as the third stage, where students can visualize different measurementsand combine them such as distance, rotation, volume, translation, and reflection [24].Theoretical PerspectiveThis study evaluates the literature through the lens of a social
homework. Answer in complete, concise sentences. Figure 2: Quiz Content & Reading/Writing Sample QuestionTable 3 provides examples of other types of reading/writing questions that were utilized either onquizzes linked with content questions or within group activities that were completed either in theclassroom or during the added lab component. One type of activity was a circuit activity as seenin Figure 3. The circuit activity was to be completed in lab, in groups, and at the board to earncredit. A linked follow-up reflection would have been a question similar to the Table 3 examples. Table 3: Examples of Other Reading/Writing Activity
state assumptions, investigateand find sources for data. Extensions become more important, and students are asked to reflect ontheir assumptions and solution method. Bringing students into the thought process required totake on these new responsibilities may be easier if the overall structure for problem-solving isconsistent in a curriculum. In third year, emphasis in instruction should be placed on thefollowing elements: • Data and Assumptions — Decide on relevant assumptions and data sources; • Solution procedure — Identify the best solution method (numerical or analytical); and, • Extension — Understand potential problem variations (impact of assumptions on solution procesure)..The Concept Map for Fourth-year Courses A large
modules and gather feedback from students for future improvements.Introduction and BackgroundAdvances in machine tool technology, CAD/CAM integration, 3D Printing, and Industry 4.0initiatives are forcing manufacturers across the board to reflect and reevaluate how they designand implement components and assemblies of all kinds. Because of the nature of aerospace partsin general (geometric complexity,tight tolerances, and hard materials)as well as strict industry and FAAguidelines, the use of multi-purposeand multi-axis machines andspecialized cutting tools along withthe ability to inspect parts right onthe machine are a necessity. Thereis a need for more practical andcurrent educational materials thataddress this paradigm shift towarddesigning
adedicated private channel. The workspace for each CS course has similar message report. Tosave space, they are not included in this paper.It can be seen in Figure 6(a) that daily active members fluctuate through time, and moremembers are active viewing messages than posting messages. Figure 6(b) shows the portions ofmessages sent through public channels, private channels, and direct messages. Please note thatthe value in private channels reflect the aggregated number of messages sent in all coursechannels. Over all time, messages sent in private channels compose 78% of all messages.However, there are certain periods of time when direct messages dominate the workspacecommunication. (a) Data analytics of the number of active
choice of major was correct shouldreduce the likelihood that the student will change majors, which can extend the time tograduation.Results of pre- and post-bootcamp surveys demonstrated improved self-confidence regardingskills important to their majors, particularly in their ability to learn and apply math concepts, aswell as an increased sense of belonging in the major. The authors also assessed the ALEKSmathematics learning tool as a means to improve students’ math skills. Evaluation of the impactthat PBL modules had in helping students recognize the importance and application ofmathematics in their chosen fields and the faculty reflections on the bootcamp are still inprogress. Data on participants’ success in Fall 2019 math courses and
without fear of repercussions [18]. When groups lack voice safety, the benefitsof incorporating diverse perspectives cannot be realized [19].Voice safety is an important aspect of good group decision making, and it is related to thehierarchical decision making described above. An individual might perceive a lack of voicesafety for a variety of reasons, including actual enforcement of power differences within a groupbut also including differences in expectations regarding conversational rituals [20]–[22]. Items inthe survey were based on validated items from [18], though language was changed to reflect theproject team context.Sense of Belonging and CommunityA sense of belonging is when a student feels as if they fit in and belong to a community
career following the REU experience.Acknowledgement: This research was supported by a REU Site grant from the National ScienceFoundation (# EEC 1757882). Any opinions, findings, conclusions, or recommendationspresented are those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References 1. Aggies Invent : Solving Problems in 48 Hours, Engineering Entrepreneurship program, College of Engineering, Texas A&M University, https://engineering.tamu.edu/student- life/aggies-invent/index.html (accessed, May1, 2020). 2. Nepal, B., Pagilla, P. R., Srinivasa, A., Bukkapatnam, S., Moturu, P., 2019, “Preparing Next Generation of Manufacturing Leaders: A case of REU site in Cybermanufacturing
done to examine how problem solving relates to metacognition as well as developing finerscales to measure metacognition in engineering students. The team collected eye tracking datafrom the virtual reality activities and future work of this study will focus on analyzing this data todetermine if students are attending to the correct elements while solving engineering problems inthe virtual environments.AcknowledgmentsThis research was supported by NSF award #1830741 and supplement #1905680 (PI: Aqlan). Anyopinions, findings, or conclusions found in this paper are those of the authors and do notnecessarily reflect the views of the sponsor.References[1] M. M. Cooper and S. Sandi-Urena, “Design and validation of an instrument to assess
grant from the National Science Foundation (Award # EEC-1730576). Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation. The authors are grateful to Catherine McGough and Rachel Lanning fortheir assistance in collecting and analyzing survey data.References[1] W. Sarasua, N. Kaye, J. Ogle, N. Benaissa, L. Benson, B. Putman and A. Pfirman, “Engaging Civil Engineering Students Through a ‘Capstone-like’ Experience in their Sophomore Year.” Proceedings of the 2020 Annual American Society of Engineering Education (ASEE) Conference and Exposition, Virtual Conference, June 21 – 24, 2020.[2] Ogle, J.H., Bolding