absorbssolar radiation, it heats up, then emits radiation from its surface to cool down and achieve radiativebalance18. The Earth’s hydrosphere is composed of all water including in oceans, lakes, rivers, andgroundwater. The hydrosphere plays an essential role in the climate system because water transportsheat better than air; hence, so the impacts of climate change will be transmitted by water19. The Earth’scryosphere is composed of the surface snow and ice as well as permafrost or ground ice. Thecryosphere is important when considering surface reflectance or the albedo effect; the sun’s energy is Proceedings of the 2024 ASEE Gulf-Southwest Annual Conference West Texas A&M University, Canyon, TX
Scientific Method and Engineering Design Process used to solve research programs.Organization Level CMC features reflect values, mission alignment, and structural compatibilityamong collaborating entities. Personal Level CMC features refer to trust and rapport built amongthe individuals carrying out collaborative activities. A goal of the five-way collaboration describedhere was to put in place measures to create or reinforce all 8 aspirational features of a successfulCMC. These measures are described and addressed in this Methods section.The first engineering design-and-build process facilitated by this five-way partnership centered ona new camouflage deployment system for the Army’s Light Medium Tactical Vehicle (LMTV) atUF and the M109 Paladin at
CONCLUSIONS OR RECOMMENDATIONS EXPRESSED IN THISMATERIAL ARE THOSE OF THE AUTHOR(S) AND DO NOT NECESSARILYREFLECT THE VIEWS OF THE NATIONAL SCIENCE FOUNDATION. NATIONAL PRIORITY INCREASE GRADUATES BROADEN PARTICIPATION President’s Council of Advisors on Underrepresented groups in engineering Science and Technology estimated that are also the fastest growing segment of the United States will need 1 million the general population, and so it is also additional STEM professionals. important that the field similarly reflect the population it serves.Among the national priorities are increasing graduates in STEM and
, facilitated by the CourseNetworking310 (https://www.thecn.com/) platform, as a tool to identify work demonstrating core competencies311 and proficiencies, and opportunities to reflect on previous associate level course learning and312 self-assess their level of prerequisite knowledge required for future post-transfer courses [37].313 Internet Search: National level websites and portals, similar to those identified by the elite314 interviewees, can be found throughout the Internet. One example is CollegeSource315 (https://collegesource.com/) which provides a one-stop-shop of tools and and access to higher316 education institutions (over 2,000) for transfer students. These tools include TES, the Transfer317 Evaluation System
thelocation where the coal fly ash particle would settle. The fourth part consists of estimating the totalamount of coal fly ash per county to allow for correlation analysis later. The four parts are executedin one iteration during which the coal fly ash particle is assumed to settle regardless of how longthe particle is airborne. The wind speed and direction are set during the entire time of an iteration.This iterative process is repeated several times to account for the random changes in wind speedand direction.The size of fly ash particle is selected using Figure 2 and Equation 6. Figure 2 reflects the actualdistribution of particles typically found in coal fly ash. Equation 3 is used to compute its terminalvelocity using Stokes’ law. Next, wind
hay bale insulation (right)The Spring 2023 cohort’s performance optimized design required installing external heating andventilation systems, insulation, and thermostats. This design considered electric, oil, and propaneenergy source options, two of which did not meet the MC director’s sustainability criteria. Thetypes of insulation considered were fiberglass, polystyrene foam, and reflective insulation.Thermostats and a ventilation system were recommended for installation, but very littleinformation was presented on the specific system to be installed. No system parameters,mathematical approximations, or heat transfer modeling were presented to size the system. Theteam estimated that this design could cost up to $7000. The cost optimized
analyses at subsequent time points. For instance, if X students drop out orgraduate by the end of a semester, they will be removed from subsequent analyses, ensuring thatthe remaining students constitute the entire study cohort for subsequent persistence analyses.The study will acknowledge the dynamic nature of student enrollment, and robust measures willbe employed to handle attrition. The removal of students who exit the program will ensure thatanalyses reflect the evolving composition of the sample, contributing to the accuracy andrelevance of the findings.ConclusionIn conclusion, this study undertakes comprehensive exploration of the factors influencingengineering student persistence, with a particular focus on the impact of Calculus I. By
avariety of digital tools. Their choices reflect their degree of awareness and understanding ofavailable tools, showcasing whether they are acquainted with a diverse range of technologiesrelevant to the construction industry. On the other hand, assessing students' comfort levels inusing a specific digital tool provides insights into their confidence and self-perceivedcompetence. This subjective measure complements the objective evaluation of their toolselection, offering a holistic view of their digital skill awareness, confidence, and readiness toapply their knowledge.These scenarios were crafted to assess participants' knowledge of digital technologies and theirreadiness to apply them in practical construction scenarios. By presenting authentic
given discipline would have both UI and CD components, but their relative emphasis may varygreatly from one discipline to the next. In all cases, the training of students should becommensurate with the prospects of their career plans and expectations of their potentialemployers. Thus, for instance, within UI-dominated disciplines, there should be a greateremphasis on providing resources for establishing industrial connections.Lastly, the findings highlight the importance of refining academic course plans and institutionalsupport for effective doctoral training. The emphasis on incorporating problem-solving, dataanalytics, and writing skills into coursework reflects a commitment to aligning academic trainingwith the broader skills needed for
," International Journal on Interactive Design and Manufacturing (IJIDeM), vol. 3, pp. 147-156, 2009.12. D. A. Schön, "Designing as reflective conversation with the materials of a design situation," Knowledge-based systems, vol. 5, pp. 3-14, 1992.13. J. Jang and C. D. Schunn, "Physical design tools support and hinder innovative engineering design," Journal of Mechanical Design, vol. 134, p. 041001, 2012.14. R. I. Campbell, D. J. D. Beer, L. J. Barnard, G. J. Booysen, M. Truscott, R. Cain, et al., "Design evolution through customer interaction with functional prototypes," Journal of Engineering Design, vol. 18, pp. 617-635, 2008.15. Y.-K. Lim, E. Stolterman, and J. Tenenberg, "The anatomy of prototypes: Prototypes as filters, prototypes
empathetic communication. A systematic review found that simulation-basedinterventions that are both immersive and experiential were the most effective method ofempathic education [32]. In a scoping review of empathy in nursing students, simulationincreased empathy levels and confidence, and is deemed beneficial for enhancing empathyawareness, sensitivity, and decreasing negative emotions [31].Empathy is central to the nursing role, fostering and promoting the therapeutic nurse-patientrelationship. Empathetic nursing care requires self-reflection, mindfulness, giving of oneself, andviewing the patient as a whole. Empathy allows patients to feel validated, understood, andrespected. Collaboration and communication between nursing and engineering is
and in identifying formal evaluation criteria that robustlycapture whether skills have been acquired. Of interest is whether tools can be developed thatprovide more robust formative assessment of a modeling activity. This contrasts with summativeassessment approaches which largely benefits the assessor in reducing grading times byevaluating the result but can miss important tendencies in a student designer that might need tobe corrected. For this to be feasible better metrics that reflect how a modeling activity isprogressing not just with respect to realizing a final shape goal, but also in capturing designintent and meeting best practices is needed. In this paper some of the challenges of evaluating 3DCAD modeling efficacy are explored
commitment to RT transformed into effective RT for communities 5 1.5 RT is not supported nor 2.5 Academic advisors can help students required by academic institutions circumvent institutional barriers to RTRT in Academic Research Program: Student Case Studies in HES @ MinesAs reported in our ASEE 2022 paper [1], graduate students’ journey to RT begins with an in-depth process of formation which includes a self-reflection of their perspectives as historical andsocial agents, extensive critical readings of the history of engineering, development, and the roleof engineers in development. Once they
efforts indiversity, equity, and inclusion were out of his scope. Initially, the researchers felt Omar’sresponses could have fit in broader systemic issues such as greenwashing or performativeallyship [34], [35], but in reflection following the interview process, the researchers felt Omarmight have been uncomfortable, or felt he was being assessed, leading him to look for the “right”answer. However, Omar perceived his work as separate from efforts in diversity or equity, the“science side of things.” Later in the interview, Omar also mentioned that he did not have a lot ofinvolvement with the Center outside of his lab, lab work, and advisor. Omar may not have beenexposed to the importance of inclusive or equitable practices in the way Zenith was
Discovery Channel and other news sources. Hammond is dedicated to diversity and equity, which is reflected in her publications, research, teaching, service, and mentoring. More at http://srl.tamu.edu and http://ieei.tamu.edu. ©American Society for Engineering Education, 2024 Emotionally Intelligent Machines in Education: Harnessing Generative AI for Authentic Human-Machine Synergy in the ClassroomAbstractThis paper delves into the realm of Generative AI (GenAI) infused with Artificial EmotionalIntelligence (AEI) to enhance cooperative and genuine human-machine interplay. It underscoresthe imperative of assimilating AEI in diverse sectors including education
is repeated until one victor emerges. After this, the instructor typicallypresents the true conclusion, which is always an entertaining time—especially if a team wascorrect but was not voted up to the next level.Students are asked to reflect on the experience together in a classroom-wide discussion. Themain takeaways typically regard:• The criticality of due process, the formality of investigations, and the correct handling/ interpretation of evidence.• The power of perception, and how remaining impartial is paramount when the stakes are so high.• The nuance and broadness of engineering as a profession and skillset. Equipment can be very sensitive to small elements, and a broad knowledge base is needed to not only understand the
with the students, but without dictatingtheir activities.In addition to the 2.5 hours described above, students can optionally visit the Wind Tunnel in adifferent room for 30 minutes, which is outside the scope of this paper.Tutors were trained with video footage from previous years and then met with the module leaderfor guidance. A summary of the training follows: Guidance for tutors • Reflect on the purpose of the activity and how students experience it • Students have written guidance and can complete the activity independently • Avoid telling students things directly or giving them instructions • Listen to students, understand their point of view first and use that as a starting point • Be positive and
completed the survey near the end of each school term, with the Winter termsurveys completed in March 2023, and the Spring term surveys completed in June 2023. TheMECH-431 courses were complete by the time the survey was taken by enrolled students, so theywere able to reflect on the course as a whole at the time of completing the surveys.4.1 HypothesisResults are determined in this study by inductive reasoning. Based on the results of the literaturereview, it is clear that some dynamics systems and controls undergraduate laboratory courses atother institutions have effectively employed hands-on laboratory exercises at low cost. Therefore,a reasonable resulting hypothesis is that low cost physical laboratory experiments can beemployed effectively in
) • Connectivity Problems (17 Voices) • Challenges and Obstacles of Virtuality (15 Voices) • Difficulties with Specific Content (9 Voices) • Personal Factors (6 Voices)Student statements about obstacles to learning during the course reflect an uneven adaptation tovirtual teaching. Challenges are associated with connectivity and understanding specific topics such asmathematics and circuit laws.3) What changes to the course could improve your learning? When analyzing the answers to thisquestion, the following emerging constructs can be seen (71 student voices) • Suggestions to Improve interaction (43 voices) • Request for More Practices and Activities (37 Voices) • Recommendations to Improve Communication (20 Voices)Below is a
questionnaire refers to emotions you may experience as part of this class (EGR 210 - Electric Circuits). It is divided into three sections: (a) your emotions related specifically to testing in this course, (b) your emotions related to Circuits class in general, and (c) your experience as part of the larger Engineering program. Please reflect on your experiences during this semester as you answer the questions below.* Required Unique Identifier 1. Copy and paste the unique identifier you received in your email: *Emotions during Electric Circuits testing and examsAttending college classes can create different feelings. This part of the questionnaire refers specifically to emotionsyou may experience during exams in EGR 210 - Electric Circuits. Before
limitation is mostlikely due to the FPGA’s ability to connect two ALMs during the routing process, where a wirewith a width larger than 1120 cannot be connected between two ALMs. The data we report onlygoes up to a maximum bit-width of 1024, so this limitation is not reflected in our graphs. Also,the Goldschmidt divider has a smaller range than the other dividers because it was not able tosynthesize above a width of 244. This is due to the limited number of DSP blocks.4.1 AreaThe FPGA used in these tests is the 5CGXFC9E7F35C8 from the Cyclone V line. This FPGA ischosen due to its large amount of available ALMs and DSP blocks. The maximum ALMs that ourFPGA has in this study is 113,560. Very few dividers in this study approached this maximumnumber of
standard deviation and the number of participants for each semester. The Likert-scale used in the surveyconcepts across various ranged from "Excellent" (5) to "Poor" (1), enabling participants to rateinstructional delivery formats. The their perceptions regarding the effectiveness of the take-home kits ormodules' effectiveness is widely desk-scale modules in aiding their understanding of theoretical concepts underlying physicochemical phenomena and unit operations.acknowledged among students,reflected in small standarddeviations. Emphasizing the importance of face-to-face components in blended learning, thesemodules received high
to improve student teamwork experience and academic performance in circuits analysis course Proceedings of the 129th American Society for Engineering Education (ASEE) Annual Conference and Exposition, 2022 https://peer.asee.org/40873[34] *S. Claussen, V. Dave. “Reflection and metacognition in an introductory circuits course,” Proceedings of the 124th American Society for Engineering Education (ASEE) Annual Conference and Exposition, Columbus, Ohio, 2017. https://peer.asee.org/28788[35] *B. H. Ferri, D. M. Majerich, N. V. Parrish, A. A. Ferri. “Use of a MOOC platform to blend a linear circuits course for non-majors,” Proceedings of the 121st American Society for Engineering Education (ASEE) Annual Conference and
results from the preceding analysis,including further interpretation of the results, and propose some possible explanations.Beginning with demographic variables, Asian students reported stronger beliefs in the value ofcollaborative learning compared to white students. This may reflect cultural differences inlearning styles, or the value placed on group harmony and collective effort. Additionally,Mechanical Engineering (ME) and Industrial Engineering (IE) students showed lowercollaborative learning beliefs compared to their counterparts in Electrical and ComputerEngineering (ECE). These findings suggest that there may be disciplinary differences in thevalue and integration of collaborative learning in different degree programs.Turning to other
gender choice of “Other”was excluded due to the limited number of degrees awarded, reported only for 2019. Our“Native” category reflects combining the racial reporting options of “American Indian/AlaskaNative” and “Native Hawaiian/Other Pacific Islander.” Similarly, our “Multi” category reflectscombining “Foreign,” “Multiracial,” and “Unknown.” Other racial categories are used asreported by ASEE (e.g., “Asian,” “Black,” “Hispanic,” and “White”). Procedurally, the data was first downloaded into a CSV file. A self-generated Jupyter filewas created to clean the data and create the tidy format [21] XLSX files needed by Tableau forcreating the infographics [11]. Once the charts were styled with shapes, colors, and categorieschosen for visual