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
significantly higher in the mixed class thanin either the flipped or traditional sections. Overall, the grades reflected similar outcomes to theexams where students in the mixed section outperformed students in both the flipped andtraditional sections. This indicates that, despite some promise shown in the flipped coursesection, students in that section were still not able to achieve at the same level as their peers inthe mixed-delivery class. The reason for this outcome answer may be due to the reinforcement ofideas provided by the combination of lecture and video in the mixed section (described in moredetail below) as well as the difficulty students and faculty experience with transitioning to aflipped classroom model.As noted in the literature
practice of cyber security. While the three technicalcourses focused on weekly lab exercises, this course focuses on giving students contact withguest lecturers from government and industry who work in cyber security. The discussions focusaround current legal and ethical issues that face practitioners every day. Students completeweekly reflection writings and in class activities/discussions that focus on current events and/orguest lecturers’ materials. In addition to the weekly assignments, students will write a researchpaper on a cyber security ethical or legal topic of their choosing. It should also be noted the EEand Cpr E programs are discussing adding this course to their curriculum.Technical Elective CoursesThe electives for the cyber
eagerness to program the robots. Besidesbeing exposed to advanced mathematical material, the teachers were able to use this to bridge intoother academic areas. To help their students learn to identify angles, teachers used sentence wordgaps (shown in Figure 2), a technique commonly used in teaching language arts.Figure 2: A first-grade teacher at an elementary school, using the sentence word gaps to teach earlyelementary students the angles they need to program the direction of the robots.BOTS consisted of a series of progressive PD sessions held for three hours on a Saturday morningalmost monthly throughout the academic year. Each session built upon the previous and gave theteachers the opportunity to reflect and receive feedback on their
microprocessors. This experiment allows students to observe reverse breakdown inthe laboratory in a practical way using a Zener diode. They also see how it can be used in a circuitthrough simulation where the clamping behavior of the diode is observed. The curious studentwill ask where the additional voltage goes in the circuit. The increased current flow through thediode when the input voltage is increased can be observed in simulation to answer thisquestion.Assessment and ResultsThe laboratory assessment survey conducted at the end of the semester asked students to considerseveral reflective questions. The complete survey presented to students is show in Appendix A.The questions posed were pedagogical in nature and sought student impressions of
exception of the (U)nsatisfactoryrange. Program faculty elected to include a grade of “D” (60-70%) within the (U)nsatisfactory rather than in the(M)arginal category because earning a “D” on an assignment negatively impacts the Naval Architecture and MarineEngineering graduation requirement of a 2.0 GPA.Since most Naval Architecture and Marine Engineering student cohort sizes are not large enough to report overallpercentages (no statistical significance), raw scores in each category are used to better reflect the underlyingdistribution of performance. Therefore, to calculate the EAMU Vector, the raw number of Naval Architecture andMarine Engineering students earning a grade in each scoring band are tallied, not the overall percentage of
that the Aspen Plus instructor slow down or otherwise provide“helping moments” during the lectures to ensure students keep up with the tutorial or examplemodels. Students responded well to this change, both in the mid-semester survey and in courseevaluations, leading the instructor to adopt this teaching method permanently.The in-person feedback session was a lunch-time meeting (with pizza provided by thedepartment) including the coordinators of the course and a panel of students selected from agroup of volunteers. The student panel was chosen to reflect the full range of academicperformers in the class as well as the diversity of experiences from working on different projects(with different advisors). These sessions often provided the most
subsequent sections detail the technology and design choices for this platform.4. Target MetricsTraditional IT organizations are currently siloed around aspects of service delivery: network and transport,data center, applications, security, etc [8]. This segmentation was driven by increasingly complextechnologies in each of these service delivery domains. While in smaller organizations these siloed arereflected in domains of expertise mastered by members of the staff, in medium and large organizations,5IT organizational charts identify specific teams for each of the domains mentioned. This segmentation isnaturally reflected in the skills developed by respective teams, the operating processes they develop, andthe tools used to manage the scope of the
solution. Having determinedthe calibration and spatial resolution, Jaun and her partner went ahead and imaged a Bell Lab computer chip … with the settings of an x and y range of 300 µm and 200 x and y pointsJaun did not comment on the success or failure of imaging the computer chip, but did include afigure picturing that computer chip. Additionally, they chode a goldfish scale and while the details of the scale are most likely too small to capture with this microscope … there is a very clearly reflective region of the scale and some interesting contour linesStage 4Jaun ends her entry with stage 4, the “Conclusion.” the … lab resulted in imaging samples and determining the calibration factor for the microscope
. Thisstrongly relates to metacognition.As described by Schraw and Dennison [2], metacognition refers to “the ability to reflect on,understand, and control one’s learning.” Sometimes described by the informal shorthand“thinking about thinking,” a more formal definition of metacognition typically includes elementsof knowledge of cognition (declarative knowledge involved with understanding learningprocesses and strategies, and knowing when to adopt a particular strategy), and regulation ofcognition (procedural knowledge of planning, monitoring, and adapting one’s learning) [3];although many other distinctions for elements of metacognition exist [4].Metacognition is a key asset as students transition to the more independent post-secondarylearning
reading more and more. This class has opened my eyes to what I want to do. It allows a person to really self-reflect on their opinions and career goals. I learned how much work takes to make a research paper, and the time to make sure you understand the main goals of the experiment. I learned how to breakdown a scientific paper, and I was interested to … research opportunities that I wouldn’t have known of otherwise. Breaking down the research process and explaining how it’s done. Then being able to examine research that has been conducted helped to understand the process better. Learning to actively look for jobs in detail and make sure
asked to reflect on their choice ofuniversity and major, as well as their experiences with courses and assessment. Furthermore,participants were asked to speak about various aspects of their social experience thus far in theiruniversity career, including the disciplinary makeup of their friend group and their participationin disciplinary professional societies and other extracurricular activities. Interviews lastedapproximately one hour each. The recordings were sent to a professional transcription serviceand were checked once more by the research team to ensure the accuracy of the transcript.AnalysisThe process for this analysis began with familiarization with each of the individual participant’sinterview transcript. Each was read first for
important factor in a potential faculty member’s decision to join.Additionally, PhD students play a vital role in mentorship of undergraduate students, serving asteaching assistants in courses and as mentors in the laboratory. Graduate students can beparticularly influential role models for undergraduates considering research careers. Finally,graduate students that go on to successful careers in a variety of sectors plays a crucial part inexpanding the reputation of the School. Their success is a direct reflection of the laboratoriesand faculty that mentored them.Just as important as the number of graduate students is the diversity of the student body. TheNational Science Foundation (NSF), other members of the National Academies, and the USCongress
outcomes, reflecting the skills and attributes that all MechanicalEngineering students are expected to possess at the time of graduation. These student outcomesare based on documentation collected during the annual assessment process and represent acombination of direct and indirect measures, such as the performance of student work, FE examresults, formal survey data, as well as data of specific curriculum courses' completion. Thecourse of Thermodynamics represents a significant portion of the FE exam (~10%). In thisevidence-based practice study, students were tested weekly under the FE exam format (3 minutesper question, 4-5 questions) in a pre-set time interval. The exams were administered throughGoogle Classroom and Google Forms, and students
elementary students, and in discussing possible pathways intoengineering with the elementary students. Perhaps these changes could improve the impact of theWP on college students, and provide further evidence for positive impacts on the elementarystudents.AcknowledgementThis research received no specific grant from any funding agency in the public, commercial, ornot-for-profit sectors. Any opinions, findings, conclusions, and recommendations expressed inthis paper are those of the authors and do not necessarily reflect the views of the university.ReferencesBielefeldt, A. R., & Canney, N. (2014). Impacts of service-learning on the professional social responsibility attitudes of engineering students. International Journal for Service
researchprojects that were funded by the universities. The data presented in this study has been collectedfrom a total of 13 research projects in the fields of architecture and manufacturing. Both currentand past research projects have been included to reflect on if undergraduate research (UR)encouraged them in future research opportunities, whether UR encouraged them to enter intograduate schools, or UR impacted their professional development. All the data presented for eachproject including students current position has been tracked over time and collected by theauthors. Student demographic data has been presented in the study to see if there is any effect ofgender, students’ academic year, GPA, immigration status, on their willingness to be engaged