ScienceFoundation.References1. Aslani, P., Griffis, F. H., and Chiarelli, L. (2009). “Building information model: The role and need of the constructors.” 2009 Construction Research Congress, Seattle, WA, pp. 467-476.2. Bae, J.-W., and Kim, Y.-W. (2009). “Assessing the environmental impacts of lean supply system: A case study of rebar supply in high-rise condominium construction projects.” 2009 Construction Research Congress, Seattle, WA, pp. 1009-1018.3. Barak, R., Jeong, Y.-S., Sacks, R., and Eastman, C. M. (2009). “Unique requirements of building information modeling for cast-in-place reinforced concrete.” Journal of Computing in Civil Engineering, 23(2), pp. 64-74.5. Berwald, S. (2008). “From CAD to BIM: The experience of architectural education with
asked to evaluate the usefulness of theresearch using the aforementioned scale. Of the three EEWIE women who joined the RocketOwls, two students responded Strongly Agree and one student responded Not Applicable. Whenask to analyze the High Altitude Balloon (HAB) project, two students responded Strongly Agreeand one student responded Not Applicable. It can be assumed the student/s that responded “NotApplicable” were not members of the project, but responded to the question. The results fromthe survey indicate that projects had a positive influence on the students’ success.In general, undergraduate research has been shown to positively impact engineering and scienceeducation14. Though not specific to retention of students, the study shows that
. Reis, "Production Programming in the Classroom", Proceedings of the ACMSIGCSE Conference, Reno, Nevada, February 2003.[2] S. Gorka, J. Miller, B. Howe, "Developing Realistic Capstone Projects in Conjunction with Industry", Proceed-ings of the ACM SIGITE Conference on Information Technology Education, Destin, Florida, USA, October 2007.[3] D. Lange, R. Ferguson, P Leidig, "An Update on the Use of Community-Based Non-Profit Organizations in Cap-stone Projects", Proceedings of the ACM SIGCSE Conference on Innovation and Technology in Computer ScienceEducation, Darmstadt, Germany, June 2011.[4] M. Murray, "Implementing a Software Development Production Environment for Student Use: Advantages andChallenges", Journal of Computing Sciences in Colleges
faculty to TEACH them. There has been a rejection on the part ofthe students of ownership or responsibility for the learning process. The common complaintamong faculty is that the students seem to retain less and their ability to perform critical thinkingwith the material they retain is greatly diminished compared to students 20 years ago.This increased focus in the engineering educational system on learning styles has been paralleledby a growing phenomenon in the lower educational levels; home schooling. It is suggested thatit might be profitable to look to the home school community when considering this conundrum.In the early 1980’s, the general public had not heard of home schooling. Today home schoolingis a widely used and growing educational
- 0.1083 -2 R² = 0.9953 -2.5 -3 -3.5 -4 -4.5 Time, s Figure 5. Height Measurements with Time as the Feed Reservoir DrainedData ReductionExperimental Velocity through the ThroatThe velocity through the throat was calculated by dividing the volumetric flow rate from the feedreservoir by the cross-sectional area of the reservoir. The areas of the feed reservoir and venturithroat
workshops and curriculum guides can support the integration of technology and careerlearning into classroom science instruction. Encounters with working engineers, whether byvideo or in-person, provide the expertise and real world context necessary for raising engineeringcareer awareness in students and teachers. Overall, this pilot study supports conclusions thatvideo instruction can be beneficial and time effective ways for engineers to communicate theirwork for broader impacts in elementary school settings (Colston et al., 2017; Laursen &Brickley, 2011).ReferencesBrophy, S., Klein, S., Portsmore, M., & Rogers, C. (2008). “Advancing engineering education in P-12 classrooms.” Journal of Engineering Education, 97(3), 369–387. 10.1002/j
Materials in particular. A web based app that does not requireinstallation and could be reached from any device seems to be a convenient option.AcknowledgmentThis research is supported by the Center for Educational Research and Teaching Innovation(CERTI) at Missouri university of Science and Technology (Missouri S&T). The author thanksDiane Hagni, Angie Hammons, and Razmus Kerwin for their support in conducting this research.The author would like to thank Iman Mehdipour, a graduate student at Missouri S&T for hisvaluable contribution in analyzing the collected raw data as well as Jesse Serrano III, anundergraduate student at Missouri S&T for his help on developing instructional documents.Special thanks goes for Dr. Tim Philpot and Dr
Mechanical Engineers(ME 335) at a moderate sized research university in the Midwest U.S. ME students take this coursein their sophomore year. In spring 2017, students in this course have been given a couple ofintroductory lectures on modeling and simulation techniques using ADAMS software. Thissoftware is used in many industries for multi-body dynamics, crash and safety and othersimulations and is freely available for students. ADAMS based semester long projects weredesigned to accommodate ME 335 course contents and that outside of the students’ major(s) toinvolve real product operation cycles and to promote undergraduate research in engineering (URE)and self-directed learning readiness (SDLR). A dynamic rubric is also designed to empowerlearners to
semester (Fall 2008) utilizing the non-parametric Kolmogorov-Smirnov (K-S) two-sample test10 with no statistically different detected (D=0.15 with p=0.8).This result confirmed the original Kruskal-Wallis analysis on all three solo semester scores.Since the lab practicum score for the three solo semesters were not statistically different, theywere combined into a single distribution of lab practicum scores for the solo group. Thestatistical parameters for the lab practicum scores from the combined control semesters andcombined solo semesters are summarized in Table 1. Group Minimum 1st Quartile median mean 3rd Quartile Maximum n Control 0.0 32.5 53.5 53.9
this need. Within the Sligo programme however, there asan obvious absence of engineering-based module(s). The topics covered in two courses atVillanova (CHE8588 and CHE8589), delivered via DE, were deemed to adequately provide thisengineering element to the Sligo curriculum.Other benefits of merging the graduate students from Villanova and Sligo in these two Villanovacourses were identified, such as: • Cross cultural interactions – through the in-class discussion and out-of-class group projects that these classes employ, there is the potential for exchange of different approaches and perspectives on the value and availability of new bioprocess technology and biotechnology products (i.e. drugs, sensors etc
, Murray B, Marinello S. RR Interval Analysis for Detection of Atrial Fibrillation in ECG Monitors. 30th Annual International IEEE EMBS Conference, Vancouver, 2008. 5. Khan MG. Rapid ECG Interpretation. 3rd Ed. Totowa: Humana Press. 6. Sornmo L, Stridh M, Husser D, Bollmann A, Olsson SB. Analysis of Atrial Fibrillation: from electrocardiogram signal processing to clinical management. Philosophical Transcactions of The Royal Society, 2008. 7. Chang PC, Hsieh JC, Lin JJ, Yeh FM. Atrial Fibrillation Analysis Based on Blind Source Separation in 12- Lead ECG Data. ICMB, (2010):286-295. 8. Weissman N, Katz A, Zigel Y. A New Method ofor Atrial Electrical Activity Analysis from Surface ECG Signals Using
-assessment ispossible. This means that students become more self-critical as they participatedirectly in their own learning process. Team, group and class assessment isintegrated into every module of our programs (supported by active codespreadsheets, computer programs, often with embedded 3D objects, video-clipsand animations) that the students can interrogate to understand either thequestion(s) or the answers better.The important observation about millennial generation students is that all of thenoted attributes should be respected, and that the education system should adjustto delivering these customer expectations at a high quality level. In this paper 1some tested
Conference.Bates, N., Chin, M., & Becker, T. (2022). Measuring sex, gender identity, and sexual orientation. In Measuring Sex, Gender Identity, and Sexual Orientation. National Academies Press. https://doi.org/10.17226/26424Butterfield, A. E., McCormick, A., & Farrell, S. (2018). Building LGBTQ-inclusive chemical engineering classrooms and departments. Chemical Engineering Education, 52(2), 107– 113. http://search.ebscohost.com/login.aspx?direct=true&AuthType=ip,shib&db=eric&AN=EJ11 74630&site=ehost-live%0Ahttp://journals.fcla.edu/cee/article/view/105856Cech, E. A. (2014). Culture of disengagement in engineering education? Science, Technology, & Human Values, 39(1), 42–72. https://doi.org/10.1177
ListThe equipment and supplies used in the experiment were as follows: • 100 W, 115 V Sylvania Double Life Clear glass tungsten filament light bulbs, 2 • Omega Precision Fine Wire thermocouple (0.003 in (0.008 mm) diameter) • Omega HH12 thermocouple reader • Stopwatch • Porcelain ceramic light socket • EXTECH, Model DW-6060 wattmeter • Digital caliper • Laboratory ring stand • Mettler Toledo AB104-S analytical balance • STACO Energy Products, 120 V variable autotransformer • Transparent tapeExperimental ApparatusThe experimental apparatus (Figure 1) consisted of a light bulb, in its socket, attachedhorizontally to a standard laboratory ring stand. A thermocouple was taped to the bulb as shownin Figure 1. A variable voltage
positiveions (cations) will move towards the cathode, while the negative ions (anions) will move towardsthe anode. The battery cell described herein uses a zinc bar (Zn) as the anode that is submergedin a potassium hydroxide electrolyte solution. The cathode is a magnesium oxide powder(MgO2). The chemical reactions of the battery cell used for this lab are shown as Equations 7(anode) and 8 (cathode). Zn (s) + 2OH− (aq) → ZnO (s) + H2O (l) + 2e− (Eq. 7) − − 2MgO2 (s) + H2O (l) + 2e →Mg2O3 (s) + 2OH (aq) (Eq. 8)As electrons (e–) pass from the anode to the cathode, an electric current is produced. Thiscurrent is collected via a
the negative ions (anions) will move towardsthe anode. The battery cell described herein uses a zinc bar (Zn) as the anode that is submergedin a potassium hydroxide electrolyte solution. The cathode is a magnesium oxide powder(MgO2). The chemical reactions of the battery cell used for this lab are shown as Equations 7(anode) and 8 (cathode). Zn (s) + 2OH− (aq) → ZnO (s) + H2O (l) + 2e− (Eq. 7) − − 2MgO2 (s) + H2O (l) + 2e →Mg2O3 (s) + 2OH (aq) (Eq. 8)As electrons (e–) pass from the anode to the cathode, an electric current is produced. Thiscurrent is collected via a copper wire set in the cathode powder. The current is
. The paper consists of: anintroduction; a revision of the application of the Delphi method in the investigation ofsimilar fields; the design of the Delphi method application process to carry out theinvestigation; and conclusions.Keywords: Engineering curriculum, curriculum design, industry’s needs, Delphimethod.1 PhD candidate at the Universidad Politécnica de Valencia. Email: alisubbak@yahoo.com alalshu@doctor.upv.es Tel.: +34 649 311 380, +34 963 879 562, Fax: + 34 963 877 569 Universidad Politécnica de Valencia Camino de Vera, S/N C.P.:46022, Valencia Valencia, Spain.2 Ph.D. Department of Electrical & Computer Engineering, University of Hartford
platform with free useful information in the formof e-bulletins and e-newsletters [17]. These are added to web-based technologies to add to the pull strategy of the websites. [3]. Leek, S., P. Naudé, and P.W. Turnbull, Interactions, relationships and REFERENCES networks in a changing world. Industrial Marketing Management, 2003. 32(2): p. 87-90.[1]. Avramović, M., Information Communication Technology in The [4]. Naudé, P. and C.P. Holland
-human transference system encompasses user inter-action mechanisms, real-time control pathways, parameter sharing between local and cloud AImodels, and an ethical optimization process that integrates user satisfaction and privacy safeguards.This section outlines the principal equations that govern how user inputs and system states flowthrough the AI middleware, how control signals are assigned to local and cloud components, andhow experiential knowledge is updated across different domains.First, let us define the user interactions across multiple modalities, such as text or speech: (m) (m) S(t
optimal performance. These insights emphasize the importance ofengineering education programs that guide students in understanding how to select and integrateappropriate technologies based on specific application needs. In the long term, programs likeiEDGE will help in reshaping and cultivating a workforce that bridges the theory-practice divideand drives impactful advancements in edge computing and beyond.AcknowledgmentThis research is supported by National Science Foundation grants 2348711. Opinions expressedare those of the author(s) and do not necessarily reflect NSF’s views.References[1] Z. Sun, X. Zhang, T. Wang, and Z. Wang, “Edge computing in Internet of Things: A novelsensing-data reconstruction algorithm under intelligent-migration
in the Systems Engineering program in the department ofEngineering at the University of South Alabama. The six students that comprise the pilot classhave backgrounds in Computer Science, Artificial Intelligence, Electrical Engineering, CivilEngineering, Process and Control Engineering, and Forensics. Table 1 - Course Structure and ContentWeek Topic Sub-topic(s) Objectives 1 Motivation/Application Vocabulary Student shall be able to distinguish and Readings define the differences between Short Course intelligent digital twin
,assemblies, and drawings for the tracked vehicle.After the team uploaded their product data into Teamcenter, they began working with it in NX tocontinue designing the digital twin. Another significant feature of Teamcenter that the team utilizedin their design process was workflows. A workflow is a collaborative, step-by-step process thatmodels many basic business and design functions. Workflows can route an item for design reviewand approval, oversee the change management process, and track manufacturing and designprocesses. However, for this case study, the team employed a basic workflow that includedassigning a task to either a group or individual user, completing that task by the assigned user(s),and finalizing the workflow. A block diagram of
-assessment ispossible. This means that students become more self-critical as they participatedirectly in their own learning process. Team, group and class assessment isintegrated into every module of our programs (supported by active codespreadsheets, computer programs, often with embedded 3D objects, video-clipsand animations) that the students can interrogate to understand either thequestion(s) or the answers better.The important observation about millennial generation students is that all of thenoted attributes should be respected, and that the education system should adjustto delivering these customer expectations at a high quality level. In this paper 1some tested
[2] F. O. LEMOS, M. J. ANZANELLO, F. S. FOGLIATTO and J. L. D. RIBEIRO, Metodologia para levantamento de percepções da qualidade Production system Pull Push de ensino-aprendizagem em cursos de graduação em Engenharia de Produção. XV Simpósio de Engenharia de Produção. Bauru, SP, 2008.2. Factors and levels studied [3] O. A. BATALHA, Introdução à Engenharia de Produção. Campus: Rio de
a description of how the budget will be used. a. For continuing project proposals: How does your project build on last year’s project? (Recommended: use your previous project’s evaluations, outcomes, and/or impact.)4. Project Rationale: How does your project support broadening participation in engineering?5. Project Audience: Faculty, Staff, Undergraduate Students, Graduate Students, Community Partners, etc.6. Project Category: E.g., improved support of graduate or undergraduate education, departmental culture, understanding areas for improved student support, mentoring practices, and student recruitment practices7. Research Question(s): What question(s) do you seek to answer with this project?8. Metrics
instructor’smodule for use in four-year universities and community colleges. This module will preparefaculty to successfully implement COINS in order to enhance student learning, attract minorityand non-traditional students to engineering, increase retention, and stimulate interest byproviding real-world examples that better prepare students for upper division curriculum and forthe challenges that they will face on the job.The ultimate goal of this proposal is aimed at enhancing civil and construction engineeringcurricula, using an innovative learning approach that combines simulation and project-basedlearning in order to better prepare students to meet the ABET 2000 requirements.Bibliography1. Aaron, S., Crocket, J., Morrish, D., Basualdo, C
memory and a new programming environment15-17. Moreover, it offers a microSD card slot which can add up to 32GB extra storage space. A USB host port and a Linuxoperating system bring allow greater flexibility in expanding the robot‟s capabilities. Forexample, a wireless connection can be achieved through a Wi-Fi dongle instead of a Bluetoothconnection. Consequently, the new LEGO Mindstorms EV3 became a possible choice forupgrading the current lab to a new platform. Currently, most of the online evaluations on the newEV3s come from either technical reviewers18-22 or customers (e.g. parents23). How collegestudents perceive this new device is still unknown. According to the well-known ABETCriterion 3, Student Outcomes k, engineering graduates
Paper ID #49597A YOLO-Based Semi-Automated Labeling Approach to Improve Fault DetectionEfficiency in Railroad VideosDylan Lester, Marshall University Dylan Lester is a third-year Electrical and Computer Engineering student and research assistant at Marshall University, with a research focus on machine learning.Prof. Pingping Zhu, Marshall University Prof. Pingping Zhu is an assistant professor in the Department of Computer Sciences and Electrical Engineering at Marshall University.Dr. Husnu Saner Narman, Marshall University Dr. Husnu S. Narman is an Associate Professor in the Department of Computer Sciences and Electrical
errors, in turn, resulted inusers obtaining inaccurate responses. Examples of successful and unsuccessful problem solutionsare included below. Full solutions from ChatGPT are included in Appendix B.• Example problems for which ChatGPT provided correct responses: o Statics ➢ The bending moment on a beam is given by 𝑀 = −4𝑥 3 + 3𝑥 2 − 23𝑥 + 5 N.m, calculate the shear force at 𝑥 = 3 m. (Correct Answer: V = 113 N; ChatGPT answer: 113 units [whatever the units of the bending moment are]) o Dynamics ➢ The position of a particle is given by 𝑠[𝑡] = 𝑡 3 − 12𝑡 2 + 44𝑡 + 11 m, calculate the acceleration value at 𝑡 = 5 s. (Correct Answer: a = 6 m/s2; ChatGPT answer: acceleration at t=5s
easily used by others. complicated for other students. (1) (3) others. (2) Table 5: Rubric for the SBP-Analytica/Design Track Proficient Developing Beginning Organization The project/product is The project/product is not The project/product is not and neat or has fluency. quite neat or has fluency. neat or does not have Visualization Pictures/graphs/annotation Pictures/graphs/annotation fluency. Minimal s are used properly in the s are partially used in the Pictures/graphs/annotation