Supply Chain Forum: An International Journal (Vol. 21, No. 3, pp. 158-172). Taylor & Francis.2. Belhadi, A., Mani, V., Kamble, S. S., Khan, S. A. R., & Verma, S. (2024). Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation. Annals of Operations Research, 333(2), 627-652.3. Fernandez-Giordano, M., Stevenson, M., Gutierrez, L., & Llorens-Montes, J. (2022). Antecedents of a firm’s supply chain agility: the roles of a transactive memory system and supply network flexibility. Supply Chain Management: An International Journal, 27(5), 637-662.4. Giannakis, M., & Papadopoulos, T. (2016). Supply chain
the machine shop support given by Mr. Roy Visser. Financialsupport provided by the School of Engineering Graduate Program is acknowledged. We thankGrand Valley State University for lending the space, equipment, and funding necessary forrunning this study.References[1] United States Energy Information Administration. (2023, Mar 2). What is U.S. electricity generation by energysource? https://www.eia.gov/tools/faqs/faq.php?id=427&t=3[2] Shafiee, S., & Topal, E. (2009). When will fossil fuel reserves be diminished?. Energy policy, 37(1), 181-189.[3] Maghami, M. R., Hizam, H., Gomes, C., Radzi, M. A., Rezadad, M. I., & Hajighorbani, S. (2016). Power lossdue to soiling on solar panel: A review. Renewable and Sustainable Energy Reviews
: Messages for Improving Public Understanding of Engineering. Available: http://www.nap.edu/catalog.php?record_id=12187[3] S. M. Lord, "Work in Progress - Engineering students' disciplinary choices: Do race and gender matter?," in Proceedings of the IEEE/ASEE Frontiers in Education Conference, San Antonio, TX, 2009, pp. W1D-1 - W1D-2.[4] ASME Intl. (2013, March 30, 2013). About American Society of Mechanical Engineers - ASME. Available: https://www.asme.org/about-asme[5] B. L. Yoder. (2011, June 21, 2013). Engineering by the Numbers. Available: http://www.asee.org/papers- and-publications/publications/college-profiles/2011-profile-engineering-statistics.pdf[6] S. M. Lord, R. A. Layton, and M. W. Ohland
tragedies.References1. Daniell, James, and Armand Vervaeck. (2011). "Damaging Earthquake Database 2011- the Year in Review." CATDAT-Integrated Historical Global Catastrophe Database.2. OECD. (2008). "Costs of Inaction of Environmental Policy Challenges." Report ENV/EPOC(2007)17/REV2.3. Escaleras, M., N. Anbarci, and C. Register. (2007). "Public Sector Corruption and Major Earthquakes: A Potentially Deadly Interaction." Public Choice, Vol. 132, no. 1-2, pp. 209-30.4. Harajli, M. H., S. Sadek, and R. Asbahan. (2002). "Evaluation of the Seismic Hazard of Lebanon." Journal of Seismology, Vol. 6, no. 2, pp. 257-77.5. Elias, A., P. Tapponnier, S.C. Singh, G.C.P. King, A. Briais, M. Daeron, H. Carton, A. Sursock, E. Jacques, R
andstandard deviation in the grades to see if the test grades have changed with the introduction ofthe videos.Results Page 24.1253.4The first step was to evaluate the classes without videos (S12 and F12) against each other todetermine if there was a significant difference between the two classes. Then the two classestaught with the videos (S13 and F13) were evaluated to determine if those classes weresignificantly different. Table 1 shows the test averages and their corresponding standarddeviations. Table 1 Summary of Test Averages and Standard Deviations (s) Test 1 Test 1 Test 2
integrated curriculum in chemical engineering. Advances in Engineering Education, 2011. 2(4): p. 1-22.4. Everett, L.J., P.K. Imbrie, and J. Morgan, Integrated curricula: Purpose and design. Journal of Engineering Education, 2000. 89(2): p. 167-175.5. Cornwell, P.J. and J.M. Fine. Integrating mechanics throughout the sophomore year. in Proceeding of the 1999 ASEE Annual Conference 1999: American Society for Engineering Education.6. Posner, G.J., et al., Accommodation of a scientific conception: Toward a theory of conceptual change. Science Education, 1982. 66(2): p. 211-227.7. Vosniadou, S., A. Baltas, and X. Vamvakoussi, Reframing the conceptual change approach in learning and instruction. Reframing the
be acquired without the instructor’s presence. Table 1 : Schedule for a typical inverted class day Before Class In Class After Class preparation activity: short lecture finish application reading, video, tutorial, or assignments problem(s) activities prepare for next evaluation: online quiz or begin application class turned-in solution assignment(s
with faculty across the United States.” o “I appreciated hearing their stories and learning from them.” o “Seeing other peoples' curriculum work was constructive and helped provide ideas for future projects in various implementation styles.” Summary of ThemesDue to space limitations, only one theme is fully shared. The other themes (and sub-themes) aresummarized in Figure 3. Figure 3. Summary of Themes and Sub-ThemesLessons LearnedThere are three key lessons learned.First, of the six tools, faculty participants found three tools particularly helpful. • Peer Feedback Tuning Protocol (https://www.sotlaccelerator.com/s/Tool-2-Peer-Feedback- Tuning-Protocol.pdf): Participants commented on the
international students for diverse career paths help to make their academic journey morerewarding. To thrive, one must embrace these multifaceted transformative experiences with anopen mind, a willingness to learn, and resilience that will enrich the academic experience andprepare them for future success beyond the classroom. Finally, after creating a welcomingclassroom environment, if faculty members desire to enhance international students' experienceand their ability to thrive, there must be intentional relationship building to help the studentsbecome more comfortable asking for help when needed.LimitationsThis study utilized a limited sample size in a non-randomized survey; hence, the findings maynot be generalized.References 1. S. K. Gardner
Leadership, “Engineering Leadership Certificate Student Handbook,” Rice University, 2014.[5] L. W. Anderson and D. R. Krathwohl, A Taxonomy for Learning, Teaching, and Assessing: A Revision of Bloom’s Taxonomy of Educational Objectives. Longman, 2001.[6] L. J. Zachary, The Mentee’s Guide: Making Mentoring Work for You. Hoboken, NJ: Jossey-Bass, 2009.[7] D. Allen, Getting Things Done: The Art of Stress-Free Productivity, revised ed. New York, NY: Penguin Books, 2015.[8] K. Klenke, Qualitative Research in the Study of Leadership. Bingley, UK: Emerald Group, 2008.[9] S. R. Komives, J. E. Owen, S. D. Longerbeam, F. C. Mainella, and L. Osteen, “Developing a leadership identity: a grounded theory
help them form theirpersonal narratives as they prepare for interviews and careers after graduation, and as generalengagement grows, students will gain self-awareness of their professional skills and be able tobetter communicate them to employers.References[1] J. H. Callewaert, J. M. Millunchick, C. S. E. Woodcock, K. C. Jiang, and S. Edington, “Developing a Framework for Experiential Learning,” presented at the 2020 ASEE Virtual Annual Conference Content Access, Jun. 2020. Accessed: Jan. 16, 2024. [Online]. Available: https://peer.asee.org/developing-a-framework-for-experiential-learning[2] J. H. Callewaert, J. M. Millunchick, C. S. E. Jamison, and K. C. Jiang, “Assessing and Communicating Professional Competency Development
a career choice,” Journal of engineering Education, vol. 105, no. 2, pp. 312–340, 2016.[3] C. J. Wienhold and J. Branchaw, “Exploring biology: A vision and change disciplinary first- year seminar improves academic performance in introductory biology,” CBE—Life Sciences Education, vol. 17, no. 2, p. ar22, 2018.[4] T. L. Haynes, L. M. Daniels, R. H. Stupnisky, R. P. Perry, and S. Hladkyj, “The effect of attributional retraining on mastery and performance motivation among first-year college students,” Basic and Applied Social Psychology, vol. 30, no. 3, pp. 198–207, 2008.[5] M. A. Hutchison‐Green, D. K. Follman, and G. M. Bodner, “Providing a voice: Qualitative investigation of the impact of a first‐year engineering
not necessarily reflect the views of the NationalScience Foundation. The author also appreciates local support at South Dakota Mines throughthe E.R. Stensaas Chair for Engineering Education funds.References[1] K. Mathieu, M. Lande, and K. H. Muci-Kuchler, “Adopting a Common Product Design Process across the Undergraduate Mechanical Engineering Curriculum,” in Proceedings of 2023 ASEE Annual Conference, Baltimore, MD, 2023. https://doi.org/10.18260/1-2--42583[2] O. Isaacs-Sodeye and M. Lande, “Teaching with unfamiliar pedagogy for engineering design instructors,” in Proceedings of IEEE Frontiers in Education Conference (FIE), 2013, pp. 1447- 1449.[3] A. J. Duston, R. H. Todd, S. P. Magleby, and C. D. Sorensen
Conference on SoftwareEngineering Advances, EDUCAUSE, Association for Advancement of Computing in Education, InternationalSociety for Technology in Education, Society for Design and Process Science, American Society forEngineering Education, Human Computer Interaction International Conference, and International Academy,Research, and Industry Association) in USA, Canada, England, France, Germany, Spain, Italy, Portugaland Romania. Her work was also presented by co-authors at conferences in Brazil, Taiwan and S. Korea.Among Dr. Marghitu’s honors and awards are the following: 2011 AccessComputing Capacity BuildingAward, the 2012 Auburn University Access award, the 2012 Society for Design and Process ScienceOutstanding Achievement Award, the 2013
utilized to tackle thisever-growing issue due to its ability learn and classify complex data. AI can be described as twomain subfields: machine learning (ML) and deep learning (DL). ML leverages labeled data tobuild models for predicting labels on unlabeled data. DL relies on extensive unlabeled datasets touncover underlying patterns within the dataset. On the other hand, knowledge-based modelingand simulation (M&S) techniques utilize known models to generate data for the analysis of newand existing designs. M&S works well for simple systems but becomes increasingly difficult formore complex systems. The difficulty comes from the uncertainties associated with each addedvariable being modeled. To bridge the gap between AI and M&S, the
are using an approach that blends undergraduateresearch, interdepartmental collaborations, and a focus on experiential learning. We arecollaborating with the university Green Fund and the Environmental Health and Safety (EH&S)department to recycle materials, reach the campus community, and understand the environmentaland economic impacts of the study. The manuscript describes a summary of the projectdevelopment, a detail of project goals and current advances, and a summary of our researchobjectives as we integrate the practice of sustainability into the chemical engineering program.Motivation and Research QuestionThe Department of Chemical Engineering at the University of Texas at Austin has investedefforts and resources in the renovation
as an Analogy for CollegeThere are parallels between a student’s college experience and football, such as: Lows and highs – The lows might be season(s) long or might last only part of the game. Team work – Many of the CE students received coursework help from other students and general support from friends and family.Pervasive sports analogies may be annoying, but perhaps students absorb these models [25]. Iaspire to having my students view me as a coach rather than a ref (enforcing rules) or theopposing team (putting up roadblocks to prevent students from reaching their goal of success inthe course or earning their degree). Faculty should remember that our students may be facing anarray of challenges (personal health challenges
completion of a full cross-case analysis of all sixcase-studies which include primary (elementary) and secondary education contexts.AcknowledgementsWe are deeply grateful to our case-study coaches and students for sharing their time andexperience with us.References[1] For Inspiration and Recognition of Science and Technology (FIRST), "FIRST annual impact report: More than robots," 2022. [Online]. Available: https://firstinspiresst01.blob.core.windows.net/annual-report/annual-report/first-fy22-annual- impact-report.pdf[2] S. Evripidou, K. Georgiou, L. Doitsidis, A. A. Amanatiadis, Z. Zinonos, and S. A. Chatzichristofis, "Educational robotics: Platforms, competitions and expected learning outcomes," IEEE Access, vol
carry significantly more information but limited in distance to a fewhundred meters. Acoustic communication is the most versatile and widely used technique inunderwater environments due to the low attenuation (signal reduction) of sound in water.This is especially true in thermally stable, deep water settings. On the other hand, the use ofacoustic waves in shallow water can be adversely affected by temperature gradients, surfaceambient noise, and multipath propagation due to reflection and refraction. The much slower speed of acoustic propagation in water, about 1500 m/s (meters per second),compared with that of electromagnetic and optical waves is another limiting factor for efficientcommunication and networking [1]. Therefore, acoustic waves
or equipment.Students reviewed the operations manual to learn the operation of the HOBO® data loggers. Asa basic understanding was acquired from the manual, students next connected these instrumentsto a computer loaded with Onset’s HOBO® software to experiment with the capabilities of theinstruments. Along with adjusting the parameters in the data logger, the battery level and properoperation of each inventoried data logger was verified.The final instrument used by the students was a light intensity meter. This instrument is slightlydifferent from the HOBO®’s light intensity, as this instrument’s primary function is toaccurately measure light, whereas the HOBO® is used to gain a general understanding of arealighting use. A variety of light
Disagree Instructions and use of the virtual laboratory were clear and easy 49 0.0% 8.2% 4.1% 49.0% 38.8% to understand. The learning objectives of the virtual lab were clear. 49 2.0% 28.6% 16.3% 32.7% 20.4% The time and effort spent on the virtual laboratory was comparable to that which I typically spend on a homework 48 0.0% 37.5% 10.4% 20.8% 31.3% assignment. The virtual laboratory component improved my understanding of 49 0.0% 10.2% 26.5% 38.8% 24.5% fluid mechanics concepts. This method(s) of presenting information
internal measure) can represent a gamestate9. By dynamically adjusting difficulty, a game can adapt to different player abilities9, 10.Adapting the formalism and state4, 9, a score function at time t assigns a score s to a temporal game stateg: s: g →ℤ (3)where s ∊ Z and g = G(t). Thus, a score can provide a basic measure of temporal game state. FromSection 2, G(t) represents an abstract measure of temporal game state—state is an arbitrary representationof G’s components (Equation 1) at a specific time t. Thus, in Figure 2, state can replace score, usingEquation 3.For discrete systems (e.g., turn-based play), we can instead refer to time ti, score si
contributions to this work. Fall 2010 Mid-Atlantic ASEE Conference, October 15-16, 2010, Villanova UniversityBibliography1. Engineering Criteria 2000: Criteria for accrediting programs in engineering in the United States. Engineering Accreditation Commission, Accreditation Board for Engineering and Technology, Inc: Baltimore, MD, 1998.2. Shaping the future. Volume II. Perspectives on undergraduate education in science, mathematics, engineering, and technology. Advisory Committee to the National Science Foundation, Directorate for Education and Human Resources: Arlington, VA, 1998.3. Carr, S., "What are we waiting for? Put engineering first!" Excellence in Higher Education, 8(3), 1999.4. Belytschko, T., A
course instructors and in-class observations of students engagedin impromptu design exercises represent the qualitative measures to be employed in the study.The methods and procedures for data collection and analysis are detailed below.5. ConclusionIn this paper, the use of impromptu design as a vehicle for integrating design educationthroughout the engineering curriculum was discussed. Examples of impromptu design exercisescurrently being developed for a diverse range of classes across engineering disciplines werepresented along with a discussion about some of the challenges of developing an adequateassessment plan.Bibliography[1] A. J. Dutson, R. H. Todd, S. P. Magleby, and C. D. Sorenson. “A review of literature on teaching
://scholarworks.iu.edu/journals/index.php/josotl/article/view/3264.[3] J. Schinske and K. Tanner, “Teaching More by Grading Less (or Differently),” CBE-Life Sci. Educ., vol. 13, no. 2, pp. 159–166, Jun. 2014, doi: 10.1187/cbe.CBE-14-03-0054.[4] S. Toledo and J. M. Dubas, “A Learner-Centered Grading Method Focused on Reaching Proficiency with Course Learning Outcomes,” J. Chem. Educ., vol. 94, no. 8, pp. 1043– 1050, Jun. 2017, doi: 10.1021/acs.jchemed.6b00651.[5] S. B. Boesdorfer, E. Baldwin, and K. A. Lieberum, “Emphasizing Learning: Using Standards-Based Grading in a Large Nonmajors’ General Chemistry Survey Course,” J. Chem. Educ., vol. 95, no. 8, pp. 1291–1300, Jul. 2018, doi: 10.1021/acs.jchemed
253 600Students were asked to self-report their GPA. GPA was based on a scale of 4, with an “A” being a4.00, a “B” being a 3.00, a “C” being a 2.00, a “D” being a 1.00, and an “S” being a 0.00. Someclasses also used a “+” or “–” system. A “+” adds 0.33 to the base grade, while a “-” subtracts0.33. For example, a “B+” would quantitatively be a 3.33 (3.00 + 0.33), while a “B-” would be a2.77 (3.00 - 0.33).Data was gathered on students’ expected majors. Out of a total of 600 students, 311 (51.8%) weremechanical and/or aerospace engineering students, 114 (19.0%) were civil and/or environmentalengineering students, 102 (17.0%) were biomedical engineering students and 73 (12.2%) studentshad other majors. This data can be seen in Figure 2
Chebyshev type – I filter approximations are discussed. In theend, the derivation of S-parameters matrix for the BLC carried out using the well-known Even-Odd modenetwork analysis is presented. 1. INTRODUCTIONDuring the 5G investigations, eight modules have been built mostly based on the Fundamentals of Physics,Semiconductors and Circuit Theory including the Patch Antennas, BPF, Couplers, Transmitter (TX),Receiver ( RX) and Switches etc. The Switch between the Antenna and TX and/or RX must be equipped tohandle high power when connected to the TX, and LO-Power when connected to the RX. In order to meetthese requirements, the p-i-n diodes with forward and reverse biases have been used, respectively. Its
one metric (See Table5). For instance, Students 6, 7, 9 and 10 experienced changes for ToA in excess of 10%, with thefirst three experiencing sharp increases and the last showing a substantial decrease. Students 6and 7 also registered similar increases in nAch and GSE, respectively. Students 2 and 4experienced >10% declines in nAch, but Student 12 shows a noteworthy increase in GSE. Thesespikes might be part of the dataset’s background noise. Alternatively, they suggest a trend thatmay prove detectable by a larger study. They certainly beg a few direct questions. Why, forexample, did Student 6’s ToA rise by 25%? A qualitative study might have yielded insight intothis comparatively large change, and future work in this area could benefit
, reflectionassignments could be updated to urge students to reflect more on how the service learning andinterdisciplinary components affected their overall performance in the project and the requisitecontent knowledge that came from the project.Future studies can examine students’ motivations regarding interdisciplinary projects and howthey relate to teamwork effectiveness. Future work can also examine the effects of theinterdisciplinary project on the students’ teamwork effectiveness skills over the course of severalsemesters.AcknowledgmentThis material is based upon work supported by the National Science Foundation under Grants#1821658 and #1908743. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s
leaders in the specialty contractingsegment to be successful in their job. The competencies of top-performing site supervisors that aidproject success were investigated and information from the study can be used by employers toassess the performance of their workers and help construction companies devise skill developmentinitiatives to enhance the areas of weakness of their employees.LITERATURE REVIEWRecruiting workers with a specific mix of skills in the construction industry has been a challengeover the year. The different factors contributing to this challenge have been identified in previousresearch and literature. The scarcity of skilled people is one of the major causes of the wideningtalent gap. [18]’s study on the age distribution of