setting, a peer-mediated intervention strategy isutilized to help integrate a preschool target student, who is socially isolated, into the classroom bypairing them with two designated peers. Socially isolated refers to students who are not engaged inthe classroom. This strategy is employed alongside two observation methods: IDEAS and SocialNetwork Observation (SNO). 3 (a) Bluetooth beacon (b) Beacon in vest Figure 1: Beacons worn in a vest by the studentsSNO is a more traditional approach to observations, where a researcher observes the interactionsbetween the target student and their designated peers and then takes notes on the
developinginstructional tools to facilitate model-based inquiry in a physical science course for prospectiveelementary teachers. Any opinions, findings, conclusions, or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National Science Foundation. REFERENCESBaumfalk, B., Bhattacharya, D., Vo, T., Forbes, C., Zangori, L., & Schwarz, C. (2018). Impact of model‐ based science curriculum and instruction on elementary students' explanations for the hydrosphere. Journal of Research in Science Teaching, 56(5), 570-597. https://doi.org/10.1002/tea.21514Braun V, Clarke V. (2006). Using thematic analysis in psychology. Qualitative Research
key points of Newton’s Second law, relevant equations,and sample problems. The traditional video format lecture content allows students to movethrough the content at their own pace and revisit areas where they need more clarity or review.After viewing these content videos, they are presented with a CMR question, as seen in Figure 2.Students are prompted to answer an initial question and then justify their answer with commonreasoning patterns.Figure 2. Formative CMR question for the Dynamics Newton’s Second law for particles module. Part Aasks for a direct response to the question whereas Part B asks students to justify their answer to theprevious question. In this image, correct answers have been highlighted.The formative CMR question asks
,women, and elderly. As engineers, sometimes it may be difficult to have different conversationswith certain groups. For example, related to women hygiene, it would be better if a doctor or apsychologist gives support, rather than an engineer.References[1] World Bank Group, “Water Supply and Sanitation,” 2009, [Online]. Available: http://go.worldbank.org/GJ7BOASPG0[2] World Health Organization and United Nations Children’s Fund Joint Monitoring Programme for Water Supply and Sanitation, “Progress on Drinking Water and Sanitation: Special Focus on Sanitation,” 2008.[3] B. Amadei, R. Sandekian, and E. Thomas, “A Model for Sustainable Humanitarian Engineering Projects,” Sustainability, vol. 1, no. 4, pp. 1087–1105, Nov. 2009, doi
designand fabricate the Smart Helmet shown in Figure 1. The modeling software SolidWorks was usedto produce the CAD model in Figure 1a and the design was printed (Figure 1b) using a 3-Dprinter. None of the students had prior experience using the software or printer.Figure 1: (a) SolidWorks Helmet CAD model, (b) 3-D printed helmet showing mounted windturbines, solar cells and electrical module.Additionally, they were tasked with learning to use appropriate test equipment such as a hotwireanemometer for measuring wind speed at various helmet locations. They were also required todevelop the necessary experimental procedures for estimating power output from both the windturbines and the solar array mounted to the helmet’s surface.The electrical
selected based on the needs of the study and should depend onwhether the goal of the research is to capture fine grained distinctions between responses orprioritize comparison of items relative to one another.AcknowledgementsThe work was a part of the National Science Foundation under IUSE Grant # 2013504. The authorswould also like to thank Dr. Maria Yang and Dr. Barry Kudrowitz for sharing supplementalmaterials from their studies that were not found in their original papers.References[1] E. Hilton, B. Williford, W. Li, T. Hammond, and J. Linsey, “Teaching engineering students: freehand sketching with an intelligent tutoring system,” in Inspiring Students through Digital Ink: Impact of Pen and Touch Technology on Education, T. Hammond, M
thisarticle has been critically reviewed and further refined by the authors, ensuring that the contentaligns with the authors' intended scope and scholarly rigor.References[1] A. Hamad, B. Jia, “How Virtual Reality Technology Has Changed Our Lives: An Overview of the Current and Potential Applications and Limitations,” Int. J. Environ. Res. Public Health, 19, 11278, 2022. https://doi.org/10.3390/ijerph191811278[2] B. Birckhead, C. Khalil, X. Liu, S. Conovitz, A. Rizzo, I. Danovitch, K. Bullock, B. Spiegel, “Recommendations for Methodology of Virtual Reality Clinical Trials in Health Care by an International Working Group: Iterative Study,” JMIR Ment Health, 6(1):e11973, Jan. 31, 2019. doi: 10.2196/11973. PMID
score, first-term math grades (either Calculus or remedialmath), and AP credit are strongly correlated with student retention. Because calculus anddifferential equations are foundational to fluid mechanics, heat transfer, circuit analyses, andmany other core engineering courses, inadequate math preparation has repercussions throughoutthe curriculum.Figure 1: (a) Incoming first-year Calculus Readiness Exam (CRE) scores declined since thepandemic. (b) CRE is the primary predictor of first-year retention. Data: Dr. Ian Marcus,Director of Analytics, College of EngineeringInsufficient technical/mathematical training is a major barrier, but students who score poorly onthe Calculus Readiness Exam also typically lack adequate study habits and
Standards (NGSS) emphasize the role of pre-college engineering, andsince public school teachers rarely have familiarity with engineering concepts, they need moreknowledge of engineering. Further, the number of multilingual learners in US public schoolclassrooms are rapidly increasing, necessitating new practices by teachers and support structuresto better assist these students’ learning. A major motivation for our work is to counter theassumption often made within formal education in the US that these emergent multilingualstudents do not have the capacity or linguistic skills to engage in conceptually challenging topicssuch as science, engineering, or STEM inquiry.Our work emphasized a sustained professional development project with elementary
Van Treuren (BaylorUniversity) and funding from the Kern Family Foundation.References:[1] A. L. Zydney, J. S. Bennett, A. Shahid, and K. W. Bauer, “Impact of Undergraduate Research Experience in Engineering,” Journal of Engineering Education, vol. 91, no. 2, pp. 151–157, 2002, doi: 10.1002/j.2168-9830.2002.tb00687.x.[2] A.-B. Hunter, S. L. Laursen, and E. Seymour, “Becoming a scientist: The role of undergraduate research in students’ cognitive, personal, and professional development,” Science Education, vol. 91, no. 1, pp. 36–74, 2007, doi: 10.1002/sce.20173.[3] D. Lopatto, “Survey of Undergraduate Research Experiences (SURE): First Findings,” CBE, vol. 3, no. 4, pp. 270–277, Dec. 2004, doi: 10.1187/cbe.04-07-0045.[4
Paper ID #46314Programming as an Engineering Tool in K-12: e4usa+Programming. Introducingthe Purple ThreadDr. Kenneth Reid, University of Indianapolis Kenneth Reid is the Associate Dean and Director of Engineering at the R. B. Annis School of Engineering at the University of Indianapolis. He and his coauthors were awarded the Wickenden award (Journal of Engineering Education, 2014) and Best Paper award, Educational Research and Methods Division (ASEE, 2014). He was awarded an IEEE-USA Professional Achievement Award (2013) for designing the B.S. degree in Engineering Education. He is a co-PI on the ”Engineering for Us All
versatility and performance in Internet of Things (IoT)applications. The ESP32 offers significant computational power while maintaining an efficientenergy footprint. Its onboard Wi-Fi and Bluetooth modules provide seamless wirelesscommunication, making it an ideal choice for IoT applications. The ESP32’s Wi-Fi capabilitiesare a cornerstone of its functionality, supporting both 2.4 GHz frequency bands and a variety ofstandard protocols, including IEEE 802.11 b/g/n. This allows for high data transfer rates,efficient packet handling, and reliable connections, even in environments with significantinterference. Additionally, the ESP32 is equipped with advanced features such as Wi-Fi Directand mesh networking, enabling scalable deployments in complex IoT
traditional, hierarchical methods of teaching and promotes a more inclusive,participatory, and student-centered approach. Feminist pedagogy, advocates for a learningenvironment where knowledge is co-constructed through interaction among all participants—students and instructors alike. This shift toward co-creation of knowledge is particularly valuablein engineering fields, where innovation thrives in environments that foster creativity, criticalreflection, and collaboration. Figure 4 presents survey results. For each question, the responses are broken down into threeoptions (Option a, Option b, and Option c) with corresponding to how many participants selectedeach option. Student survey 100 90 80 70 60 50 40 30
approach and an innovative, two-strand theoretical framework comprised ofsocial theories of identity [6], [7], [8], [9] in one strand and critical theories, including VeteranCritical Theory [10] and Community Cultural Wealth [11], in the second strand.. In doing so, itaims to critically examine higher engineering education structures and interpretively exploreSVSM professional identity development in engineering programs at 2- and 4- year publicinstitutions in the western United States. The research plan is guided by two research questions:1. How do SVSM participate and persist in undergraduate engineering education? a) How do personal and professional assets combine to create SVSM community cultural wealth in engineering? b) How do SVSM
traditional wayby the same instructors resulted in only 45% of the students receiving a “B-” or higher grade forthe course. In the past 2 years, with new developed laboratory exercises, the number of studentswho received a “B-” or better increased to 65%. Moreover, 83% of students “agree” or “stronglyagree” that application-oriented and hands-on design labs and projects helped them to better learnthe course content. 86% “of the students agree” or “strongly agree” that laboratory exercisesincreased their interest in the subject. Such improvements in the course help students stay engaged,strengthen their understanding, and prepare for their future courses and career.IntroductionSimilar to the curriculum at many universities, our program has a basic
for children. The poster prominently featured and introduced the AIcharacters, Olivia, Emma, and Chris. This allowed the playersto familiarize themselves with the characters before diving into Fig. 2. Minimax decision tree illustrating the alternation between maximizerthe game. Each character had a unique identity and backstory. and minimizer nodes. Terminal nodes represent possible outcomes, withThis encouraged players to engage with them on a more decisions propagated upward to determine the optimal move.personal level. However, we intentionally omitted informationabout the characters' associated difficulty levels on the poster. B. Level of
-making product that cleans andobserve their projected effect on U.S. international student analyzes university data using Python libraries. Although ourenrollment. initial forecasts used ARIMA models, we are now transitioning The findings c an b e a pplied b y p olicymakers a nd recruiters to recurrent neural network (RNN) models to better captureto estimate economic returns, redistribute funding, or introduce complex, non-linear relationships.tax rebates. UNESCO can use the tool to organize programs andallocate funds for underrepresented regions. In the end, the tool The data driven
- skill learning projects, not necessarily student research projectsprogress. The classic 2015 publication had an illustration of which require new results. In any event, the skill learningadding noise to a ground-truth image, shown in Fig. 5 as B/W project students and research project students can be a singleimages of different noise levels [10]. learning community with faculty doing the organization. VI. DISCUSSION The faculty members aim to create a learning community
score of 88.56%, equivalent to a letter grade of B+. Table 1: Performance of ChatGPT-4 in CSE 174. Course Assessment Grade ChatGPT-4 Jamieson’s LLM Assessment Count Weight Score Prompt Taxonomy Final Exam 1 20% 86% PR; CoT; zero-shot Midterm Exam 1 1 15% 91% PR: CoT; zero-shot Midterm Exam 2 1 15% 88% PR; CoT; zero-shot Labs 10 15% 84.90% PR: CoT; zero-shot Quizzes 13 10% 85.71% PR: CoT; zero-shot Projects
engineering success. A 28-year study conducted by Budny etal. [5] found a clear correlation between engineering success and a strong understanding ofmathematical principles. Their research also revealed that students earning an A in precalculushad the same retention probability as those who started in Calculus I and earned at least a B,suggesting that mastering foundation material provides the necessary groundwork to obtain anengineering degree. Similar results were reported by Gardner et al. [6], who found that the gradesof first-year engineering students in their initial mathematics courses were significantlycorrelated with their retention in engineering programs.Bridge programs are a common intervention designed to enhance retention. These
-ended questions. These are as follows: 1) Overall, how would you rate your experience in our embedded systems courses that incorporated hands-on learning through the MISL-ASE board? A. Excellent B. Good C. Fair D. Poor 2) How confident do you feel in applying the skills acquired from the embedded systems courses to research projects related to embedded systems design? A. Very confident B. Confident C. Somewhat confident D. No confident 3) Which aspects of hands-on learning and related research projects were most beneficial to your understanding of embedded systems? (Select all that apply) A. Practical experiments with the MISL-ASE board B. Final course projects C. Conducting research
model; and 2) configuring a realistic lighting condition. Technicaldetails of these investigations will be explained in Section 4.3. Figure 2. The proposed i360oVR framework: (a) 3D reconstruction; (b) VR model development; (c) VR scene creations; (d) hotspot integration; and (e) i360oVR.Once the VR model of the cliff is developed, the next step is to create 360o virtual scenes asshown in Figure 2c. To this end, a virtual 360o camera is placed at pre-selected locations in theVR model of the cliff. Camera parameters are tuned such that 2:1-ratio 360o images of the cliffmodel can be rendered for each camera location. The demonstration of VR scene creation will beillustrated in Section 4.4. Thereafter, the rendered 360o images are
& Psm-MProjectiles Psm-P Inclined Plane Psm-P B field of a Psm-P wireThe authors completed the lessons, watched the interviews, and categorized the modes in thevideos independently and met to discuss the choice of sense-making modes for each of thelessons. The evolution and construction of the modes is illustrated in the figures below. Thesemodes are based on the interviews with the students and represent how they interacted with thelessons and the AR Scenes. Each of the modes start out with a PSM-P mode where
Figures 11a, b), and its losstangent never went above 0.01, providing confidence on the free space measurement technique. Asimilar process was followed to obtain the dielectric characteristics of the unknows sample. Thissample has a real part of the dielectric constant of approximately 2.7 and a loss tangent ofapproximately 0.02 (see Figure 12a, b) Figure 11 b: Teflon loss tangent Figure 11 a: Teflon real part of r Figure 12b: Unknown sample loss tangent Figure 12a: Unknown sample real part of In addition to the above sample project, there are several other projects such as time domainreflectometer measurements on MIPI D-PHY protocol for
the solar cell acts as a diode and illuminated condition in whichthe solar cell acts as a power generator as shown in Figure 1. The students submit the lab reportafter the lab session. Prior to the lab, students also learn the principle of the pn junction,semiconductors, and solar cells in the lectures.Figure 1. Engineering Summer Academy at Penn (ESAP) Nanotechnology students arelearning how to characterize (a) IV characteristics under dark condition and (b) theefficiency of the solar cell under the sunlight2.2 Angles for Solar Tracking SystemSolar panels utilizing solar tracking mechanisms automatically keep their light-receiving faceperpendicular to the sun's rays. Various types of solar-tracking devices have been reported toincrease the
the reflectionactivity was clearly needed.The literature described methods in which guided reflection can be used to promote learning, [7-11]. Ash’s and Clayton’s work [10] even describes a method by which the guided reflection neednot grow so large and lengthy to make it impractical as an in-class activity, it may be as simple as4 sentences, using prompts Ash and Clayton [10] describe as: a) What did I learn? b) How did I learn it? c) Why does it matter? d) What will I do in light of it?Having a short in-class reflection was preferred, as it is suspected that a longer, out-of-classreflection assignment would be subcontracted by the students to an LLM, whereas none has (asof yet) displayed the audacity to use an LLM to
awareness and promote a better work-life balance in both fields. Furthermore, thediscrepancy between expected and ideal sleep hours across both groups suggests a need for betterpreparation of students for the realities of their future careers.While the study employed a statistically sufficient sample size, the generalization of the findingsis not warranted. Additional studies can support the reliability of the results. Further studies caninclude additional students from both groups, conducting the study in other higher educationinstitutions, and addition of non-construction/engineering students. These potential studies canconfirm current findings and/or reveal additional patterns.References[1] H. G. Lund, B. D. Reider, A. B. Whiting and J. R
implemented to attract, advance, and advocate the participation of underrepresentedengineering students to a research collaboration effort between The University of Texas RioGrande Valley (UTRGV) and a National Laboratory. The purpose of the partnership between thesetwo entities is to meet the following goals: a) find innovative manufacturing techniques forweapons development, and b) prepare UTRGV students to conduct internships and be employedwith the National Laboratory. Similarly, the internal aim of UTRGV is to 1) support studentsuccess in engineering by promoting the participation of underrepresented minorities in researchvenues and foster academic inclusion, development, and mentorship; and 2) increase the numberof underrepresented students
Design. Energies(Basel), 15(1), 277–. https://doi.org/10.3390/en15010277 [6] Hagge P. Student Perceptions of Semester-Long In-Class Virtual Reality: Effectively Using“Google Earth VR” in a Higher Education Classroom. Journal of Geography in HigherEducation. 2021;45(3):342-360. doi:10.1080/03098265.2020.1827376 [7] Pande, P.; Thit, A.; Sørensen, A.E.; Mojsoska, B.; Moeller, M.E.; Jepsen, P.M. Long-termeffectiveness of immersive VR simulations in undergraduate science learning: Lessons from amedia-comparison study. Res. Learn. Technol.; 2021; 29, EJ1293535. [DOI:https://dx.doi.org/10.25304/rlt.v29.2482] [8] Christian, Salvador, C., & Christian, G. (2021). Virtual Reality (VR) in Superior EducationDistance Learning: A Systematic Literature
sensor for UV-VIS imagedata acquisition, a Raspberry Pi Model 3B+ for dual spectrum image fusion, analysis, presentation,and edge-cloud computing algorithms to provide rapid delivery of output data. This projectprovided the undergraduate Engineering and Biology students an opportunity to apply theirexisting technical knowledge, improve their time management, communication skills, and work asa team on a real-world problem.IntroductionThe Ultraviolet (UV) light accounts for 10% of the sun’s total output but it is completely invisibleto the human eye3,4. There are three ranges of UV wavelengths, classified as: UV-A, UV-B, andUV-C. Table 1 describes the UV wavelengths and their properties. Table 1. UV light wavelengths and