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 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
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
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
learning outcomes (SLOs) developed in the Electronics andComputer Engineering Technology and Mechanical Engineering Technology programs. TheSLO3 requires students to function effectively as a member as well as a leader on technical teams.The corresponding Performance Indicators (PIs) for SLO3 is (a) Use appropriate context,conventions, and mechanics, (b) Use credible sources, evidence, and structure, and (c)Demonstrate oral presentation skills. The senior design project presented in this paper is one ofthe eleven capstone projects completed in the 2024-2025 academic year for ETEC 4199-01. Wealso had ETEC 4199-02 and ETEC 4199-03 sections with several other capstone projects. Out ofeleven senior design projects in this section, only this project
holiday event, motivating students to explore furtheropportunities in technology and design.By the course’s end, each participant had gained practical experience in multiple CAD programsand fabrication machines, providing a comprehensive introduction to the digital manufacturingprocess. A B C D Figure 1 Pictures of P12-activity examples at H-BRS: A) technical drawing with Silhouette Studio with B) resulting folio-cut, C) laser-cut example with CAD file and D) hot-wire foam cutting example1.4.3. Evaluation of H-BRS’s P12-activitiesTo quantify the
more effective communication strategieswith the foci on a) communication contents (clear, well-articulated, and easy-to-understandinformation on the transfer process) and (b) delivery methods (early, frequent, and approachableto future transfer students), so that students at 2-year institutions have the tools and the resourcesto successfully transfer to a 4-year institution.AcknowledgementsThis work was funded by the National Science Foundation award #1817537. Any opinions,findings, and conclusions or recommendations expressed in this material are those of the authorsand do not necessarily reflect the views of the NSF.References[1]. Betz, A. R. B. King, B. Grauer, B. Montelone, Z. Wiley and L. Thurston. (2021) Improvingacademic self-concept
. The student commentedthat their calculated value was slightly higher than the value stated in their book; this led to aclass discussion about why that would be the case. (For the calculation, the student did notaccount for the altitude of the orbit and used the radius of the moon as orbital radius.) Figure 1: Example calculation from a student presentation (picture boxed out for copyright purposes)ResultsThe learning objectives of the project were assessed directly (through matching pre- and post-project questionnaires) and indirectly (through conversations with students). The pre-questionnaire (shown in Appendix B) was administered during class within one week of thestudents selecting their book
Louisville. He received his B.S. (2016), M.Eng. (2017), and Ph.D. (2020) in Electrical and Computer Engineering at the University of Louisville. His resDr. James E. Lewis, University of Louisville James E. Lewis, Ph.D. is a Professor in the Department of Engineering Fundamentals in the J. B. Speed School of Engineering at the University of Louisville. His primary research focus is Engineering Education and First-Year Programs. He also has interests in cryptography, and parallel and distributed computer systems.Dr. Angela Thompson P.E., University of Louisville Dr. Angela Thompson is an Associate Professor in the Department of Engineering Fundamentals at the University of Louisville. Dr. Thompson received her PhD in
contributions of resilience and mastery goals in predicting students' self-efficacy for learningperformance.Table 2: Hierarchical Regression Analysis Predicting Self-Efficacy for LearningPerformance Model Unstandardized SE β T p-value R2 Adjusted ∆R2 Variables coefficients B R2 Mastery Goal 0.287 0.099 0.23 2.913 0.004 0.316 0.302 0.316 Performance 0.144 0.073 0.15 1.963 0.051 Goal Resilience 0.024 0.004 0.388 5.492 0 ScoreMediation AnalysisFurthermore, a mediation analysis was conducted to examine the role of resilience scores inmediating the relationships
(Is there a need forenvironmental social justice?) before (a) and after (b) completing the module on environmentaljustice. The survey questions were: 1: There are people who have needs which are not being met,2: There are not people in the community who need help, 3: Community groups need our help, 4:I think people who are more fortunate in life should help less fortunate people with their needsand problems, 5: America does not have communities that need help3.2 Students realized the importance of social justice in engineering The module made the students aware of the importance of engineering, especiallyenvironmental engineering, in promoting social justice in the US. After completing the module,all of the respondents agreed that the
outcome depends on what they do andwhat others do (Nash, 1950). A game specifies 1. Players (decision-makers), 2. Strategies (actions each can take), 3. Pay-offs (numerical rewards or costs for every strategy combination). A solution concept—most famously the Nash equilibrium—predicts which strategies are stable when no player can gain by unilaterally switching (Nash, 1950).The classic Prisoners’ Dilemma (Axelrod & Hamilton, 1981)Two suspects are questioned in separate cells.Co-operate (C) = stay silent. Defect (D) = confess and incriminate the other. Prisoner B: C Prisoner B: D −5 yr, 0 yr (A loses, B Prisoner A: C −1 yr, −1 yr (both do okay
Understanding Self- Regulated Learning as Situated in Context,” in American Educational Research Association, Annual Meeting, 2005, pp. 11–15.[7] Gafoor, K., & Kurukkan, A. (2016). Self-Regulated Learning: A Motivational Approach for Learning Mathematics. International Journal of Education and Psychological Research (IJEPR), 5(3), 60-65.[8] C. A. Wolters, "Regulation of motivation: Evaluating an underemphasized aspect of self- regulated learning," Educational Psychologist, 38, 189–205, 2003.[9] B. J. Zimmerman, B. J., and D. H. Schunk, "Motivation. An essential dimension of self- regulated learning," in Motivation and self-regulated learning. Theory, research, and applications, D. H. Schunk, & B. J
students with moderate and severe disabilities: A review of the literature. Focus on Autism and Other Developmental Disabilities, 34(4), 195- 204. https://doi.org/10.1177/1088357619827932Browder, D. M., Spooner, F., Ahlgrim-Delzell, L., Harris, A., & Wakeman, S. (2008). A meta- analysis on teaching mathematics to students with significant cognitive disabilities. Exceptional Children, 74(4), 407-432. https://doi.org/10.1177/001440290807400401Browder, D. M., Trela, K., Courtade, G. R., Jimenez, B. A., Knight, V., & Flowers, C. (2012). Teaching mathematics and science standards to students with moderate and severe developmental disabilities. The Journal of Special Education, 46(1), 26-35. https
Engineering Education : An Examination of Engineering Undergraduates ’ Experiences with Microaggressions Targeting Race and Gender Modern Prejudice in Engineering Education : An Examination of Engineering Undergraduates ’ Experiences w,” no. 434, 2020.[9] B. Coley and K. Thomas, “‘The lab isn’t life’: Black engineering graduate students reprioritize values at the intersection of two pandemics,” Journal of Engineering Education, vol. 112, no. 2, pp. 542–564, 2023, doi: 10.1002/jee.20518.[10] E. Vahidi, M. Onyango, K. Thomas, K. Cross, and W. Gaskins, “A Systematic Literate Review of Racialized Stress, Distress, and Trauma for Black, Latin, and Indigenous Engineering Students,” in 2024 ASEE Annual Conference & Exposition
application of circuit analysis and design, computer programming, associated software, analog and digital electronics, microcontrollers, and engineering standards to the building, testing, operation, and maintenance of electrical/electronic(s) systems b application of natural sciences and mathematics at or above the level of trigonometry to the building, testing, operation, and maintenance of electrical/electronic systems c analysis, design, and implementation of one or more of the following: control systems, instrumentation systems, communications systems, computer systems, power systems or energy systems e utilization of differential and integral calculus, as a minimum, to
instructors reporting use in 2024[6]. Instructors who use AI-tools have been typically using the tools to outsource teaching tasks,such as course design, assessment development, and even grading [5]. Chatbot performance hashistorically improved quickly—ChatGPT had been able to improve from a B- exam performancein a typical MBA course to an A+ between November 2022 and January 2023 [7], forinstance—and that spending on these technologies continues to grow [8], these generative AItools will continue to improve and specialize into more fields.Response within higher education to ChatGPT and other generative AI tools has been decidedlymixed [9], with the initial instinct for some instructors and schools was to block access and try todetect AI-use as a
look at is: 2. Is there a difference in student academic performance when considering the time the course is offered?For Question 2, the data was analyzed for each of the sections from the four semesters todetermine how academic performance is related to class time. The student's final grades weregrouped into four categories based on the final grade earned in the course: A grades (including Aand A- grades), B grades (including B+, B, and B- grades), C grades (including C+, C, and C-grades), and Failing grades (including all remaining grades). The results for the academicperformance with regards to the class length are shown in Figure 3 for the design class andFigure 4 for the mechanic class. Figures 3 & 4 indicate the percentage of
used in engineering,including natural materials. a b Figure 1. Microstructures of (a) stainless steel[1] and (b) aeolian sandstone.This paper reports on a geology-based laboratory module for an introductory MSE course. Thislab occurred at the beginning of the term, so it could only require minimal course content. Theaim was to introduce students to MSE concepts, such as quantifying microstructures, whilereinforcing measurement error principles taught in prerequisite courses. The learning goals forthe lab were to: • Calculate measurement errors, • Analyze feature sizes and size distributions, and • Evaluate sources of uncertainty in microstructural analysis.Geological
functionalgrip, or 3) develop a solution for ambulatory Parkinson’s disease individuals toaid/prevent/reduce gait freezing. Project A concludes with a presentation, demonstration ofprototype, and written report. For Project B, students are asked to perform a feasibility study anddetermine if it is feasibility to design and develop a device/software/solution for one of the listedproblems: home oxygen tube management, pediatric pelvic floor dysfunction, pediatricwheelchair attachment to keep clothes and hands clean, adaptive tools to help those withdementia remain in home, adaptive tools to help those recovering from stroke, or a customproject with instructor approval. The deliverables for Project B include a written report andinitial design of the
various sketching tools on visual thinking in idea development,” Int. J. Technol. Des. Educ., vol. 27, no. 2, pp. 291–306, Jun. 2017, doi: 10.1007/s10798-015-9349-5.[19] A. Diaz Lantada, A. Hernández Bayo, and J. de J. Marquez Sevillano, “Promotion of professional skills in engineering education: strategies and challenges,” Int. J. Eng. Educ., vol. 30, no. 6(B), Art. no. 6(B), 2014.[20] S. Guendelman, S. Medeiros, and H. Rampes, “Mindfulness and Emotion Regulation: Insights from Neurobiological, Psychological, and Clinical Studies,” Front. Psychol., vol. 8, Mar. 2017, doi: 10.3389/fpsyg.2017.00220.[21] A. T. Rose, “Graphical Communication Using Hand-Drawn Sketches in Civil Engineering,” J. Prof. Issues Eng. Educ. Pract., vol
processing capacity allows experts to approach a problem in a reactionary, rather than systematic,way that engages intuitive processes to navigate the decisions of problem solving [20].One might assume that such abilities begin to develop while attending formal education, but developmentof these abilities is largely attributed to professional experience [4]. The importance of professionalexperience to intuition development may stem from the gap that exists between the kinds of problemsprofessional engineers and engineering students typically solve. Jonassen [21], Jonassen [22] provides atypology of problems to clarify different problem types using eleven categories: a) logical, b) algorithmic,c) story, d) rule-using, e) decision making, f
. 2, pp. 314–336, Mar. 2022.[7] M. C. Scott and B. Vogus, “Academic librarians and systematic reviews: trends and services,” Public Serv. Q., vol. 18, no. 3, pp. 202–208, 2022, doi: 10.1080/15228959.2022.2086664.[8] M. Phillips et al., “Systematic Reviews in the Engineering Literature: A Scoping Review,” IEEE Access, vol. 12, pp. 62648–62663, 2024, doi: 10.1109/ACCESS.2024.3394755.[9] F. Russell, L. Grbin, F. Beard, J. Higgins, and B. Kelly, “The Evolution of a Mediated Systematic Review Search Service,” J. Aust. Libr. Inf. Assoc., vol. 71, no. 1, pp. 89–107, Jan. 2022, doi: 10.1080/24750158.2022.2029143.[10] N. Tchangalova, E. G. Harrington, S. Ritchie, and S. Over, “Working Across Disciplines and Library