study. The data sources arethe winning design competition packages published on the competition website. For the years2015-2020, the annual ACRP design competition invited proposals in four categories: A. Airport Environmental Interactions, B. Runway Safety/ Runway Incursion/Runway Excursions, C. Airport Operations and Maintenance, and D. Airport Management and Planning.The winning student design submittals are announced around mid-summer every year andpublished on the ACRP website accessible to the public. Each design proposal has a 40-pagelimit excluding required appendices to address innovative solutions related to airport issues.Students may show “evidence of effective interaction with airport operators and
problem-based learning (PBL) sessions.Two perturbations required the F2F teaching to convert to online delivery: (a) the response to the2020 COVID-19 pandemic and (b) the department’s desire to begin offering the course insummer semesters. The conversion of a traditional F2F course to online instruction possesseschallenges to ensure mastery of learning outcomes are not jeopardized. Challenges includemaintaining engagement, enabling interaction between students, teaching math-intensivematerial virtually while preventing Zoom fatigue, and maintaining active learning strategies. Toaddress these challenges a novel initiative was developed to convert a traditionally-taught courseto its final form to a blended course consisting of asynchronous mini
interactive tools allowed the instructor to assess students’ understanding of course topics in real time and to adjust the exercises and lecture content accordingly. Figure 2. Screenshots of the iLearn course page. (a): The pre-recorded video section. (b): Weekly schedule sections.2) Eliminate traditional exams, increase the weight of labs and the term project in the final grade, and design a new tech interview-style coding exam. This one-hour exam contained one coding problem that was closely related to the lab exercises. Just like a tech interview, each student was assigned an individual breakout room (a Zoom feature) during the exam, worked on the coding problem using a Google doc shared
gender gap: A sentiment analysis,” Public Understanding of Science, vol. 28, no. 1, pp. 68-84, 2019.10. Geena Davis Institute on Gender in Media, “Portray Her: Representations of Women STEM Characters in Media,” The Lyda Hill Foundation & The Geena Davis Institute on Gender in Media, 2020.11. J. B. Browsh, “Revenue, Representation, and ‘Rooby-Roo’: Hanna-Barbera and the Business of Television Animation,” PhD dissertation, Dept. of Media Studies, Univ. of Colorado-Boulder, Boulder, CO, 2017.12. E. Whitelegg, R. Holliman, J. Carr, E. Scanlon, B. Hodgson, “Invisible Witnesses: Investigating Gendered Representations of Scientists, Technologists, Engineers, and Mathematicians on UK Children’s Television,” UK Resource Centre
4 4 8 B 2 0 3 5 5 3 3 2 C 2 0 4 5 4 3 2 2 D 2 3 5-Subgroup E 2 2 A 5 5 3 2 5-Subgroup 4 F 3 3 B 5 4 2 2 5-Subgroup G 2
coalition isn’t clear about how decisions about reviewing are made for this particular track, they decide one step can be another reveal. This time to the track organizer. (2) Possible Replaces – a) work with the track organizer to coordinate another reject + reveal move or b) withdraw the piece in order to protect the project.We want to offer three analytical notes to clarify how the 4Rs and the margin of maneuverabilitywork as an applied theory of inclusion:First, these moves are highly contextualized based upon the coalition members’ margin ofmaneuverability. The risks in these two moves (the reveal and possible replaces described above)are notable, and the authors’ privilege and positionality allow them to
: 10.1002/9781118594841.[8] Z. del Rosario, G. Iaccarino, and R. W. Fenrich, “Fast Precision Margin with the First-Order Reliability Method,” AIAA J., vol. 57, no. 11, pp. 5042–5053, Nov. 2019, doi: 10.2514/1.J058345.[9] M. H. Rheinfurth and L. W. Howell, “Probability and statistics in aerospace engineering.” NASA Marshall Space Flight Center, 1998.[10] C. J. Wild and M. Pfannkuch, “Statistical Thinking in Empirical Enquiry,” Int. Stat. Rev., vol. 67, no. 3, pp. 223–248, Dec. 1999, doi: 10.1111/j.1751-5823.1999.tb00442.x.[11] J. M. Watson, B. A. Kelly, R. A. Callingham, and J. M. Shaughnessy, “The measurement of school students’ understanding of statistical variation,” Int. J. Math. Educ. Sci. Technol., vol. 34, no. 1, pp. 1
thenetwork. Our software utilizes this API to provide complete support for tags. The tag CommandCenter, which is a module of our software, allows you to run every tag command possible. Inaddition, the tag Command Center also provides a map screen which will show the location ofevery tag within the campus.The RFID tags use RSSI signal strength values to convey distance data to the gateways (O.Mohamed, J. Wang, and A. D. B., 2011). Signal strength degrades over distance, so if multiplegateways are picking up a signal from a single tag, the gateway that receives the strongest signalwill most likely be the gateway closest to the tag. The way our system is designed to be used is:one gateway is placed in each room, preferably in the center (often mounted
Cambridge Handbook of Engineering Education Research, A. Johri and B. M. Olds, Eds., New York: Cambridge University Press, 2013, pp. 83–102, ISBN: 978-1-139-01345-1. DOI: 10.1017/CBO9781139013451.008.[11] B. Rittle-Johnson, “Promoting transfer: Effects of self-explanation and direct instruction,” Child Development, vol. 77, no. 1, pp. 1–15, Feb. 2006, ISSN: 0009-3920, 1467-8624. DOI: 10.1111/j.1467-8624.2006.00852.x.[12] R. A. Streveler, T. A. Litzinger, R. L. Miller, and P. S. Steif, “Learning conceptual knowledge in the engineering sciences: Overview and future research directions,” Journal of Engineering Education, vol. 97, no. 3, pp. 279–294, Jul. 2008, ISSN: 10694730. DOI: 10.1002/j.2168-9830.2008.tb00979.x.[13
grant from NSF in 2005. His honors include the NDSU Odney Award for Excellence in Teaching, 2008; Researcher of the Year, College of Engineering, NDSU, 2005; Water B. Booth Endowed Distinguished Professorship, NDSU, 2017; and Water Environment Federation Fellow, 2019.Mr. Amit Gajurel, University of Nevada, Las Vegas I am a Ph.D. student in Department of Civil and Environmental Engineering and Construction in Univer- sity of Nevada Las Vegas. I completed Master of Science in Tropical Hydrogeology and Environmental Engineering from Technical University of Darmstadt, Germany. I hold a Bachelors in Civil Engineering from Kathmandu University, Nepal. My primary fields of researches are disinfection byproducts, water
). Springer: Dordrecht.10. Lundqvist, E., Almqvist, J., & Östman, L. (2009). Epistemological norms and companion meanings in science classroom communication. Science education, 93(5), 859-874.11. Easton, L. B. (2008). From professional development to professional learning. Phi delta kappan, 89(10), 755-761.12. Loucks-Horsley, S., Hewson, P., Love, N., & Stiles, K. (2010). Designing professional development for teachers of mathematics and science. Corwin Publishing.13. Boyle, B., While, D., & Boyle, T. (2004). A longitudinal study of teacher change: What makes professional development effective?. Curriculum Journal, 15(1), 45-68.14. Bug, L.J. (2018). K-8 Teacher Blended Learning Professional Development and NGSS, and
the functionality necessary to create a game, and mimicked the experience ofdeveloping on the real Proteus.References 1. K. M. Kecskemety, A. B. Drown, and L. Corrigan. "Examining software design projects in a first- year engineering course: how assigning an open-ended game project impacts student experience." 2017 ASEE Annual Conference & Exposition. 2017. 2. M. A. Vernier, et al. "Design of a full-featured robot controller for use in a first-year robotics design project." 2014 ASEE Annual Conference & Exposition. 2014.
alaboratory report, preparing for an examination, or doing homework.Further Work:Collection of data (examinations, course grades, student, and instructor comments) andcomparison of traditional and the proposed structure will provide valuable performance andsuccess conclusions.References:[1] https://www.who.int/emergencies/diseases/novel-coronavirus-2019 (Last Accessed: 4th ofOctober 2021)[2] https://www.ccri.edu/catalog/cat1920/courses/engr/ (Last Accessed: 4th of October 2021)[3] https://zoom.us/ (Last Accessed: 4th of October 2021)[4] https://help.blackboard.com/Collaborate/Ultra (Last Accessed: 4th of October 2021)[5] https://www.blackboard.com/ (Last Accessed: 4th of October 2021)[6] B. Panoutsopoulos. “On a New Hybrid Laboratory Approach
, or isenthalps allowstudents to also survey the minimal or dramatic changes in any of the properties during such aprocess. This report presents features of the fully operating virtual labratory and presentsobservations from its initial use with students in their undergraduate introductorythermodynamics course.Introduction and motivationVery early in their introductory thermodynamics course, undergraduate mechanical engineeringstudents are typically faced with a barrage of information regarding a) the primarythermodynamic properties of pressure, temperature, specific volume, internal energy, etc., b) therelationships between these properties and the thermodynamic regimes of subcooled liquid,superheated vapor and two-phase saturated liquid
- gram committee member for IEEE Globecom, ICC, ICCCN and VTC conferences, and a reviewer for several international journals and conferences.Mr. Richard Brown Bankhead III, Seattle University Richard B Bankhead III is an Instructor and the Innovator in Residence for the Francis Wood, S.J. and Nick Arvanitidis, PhD Innovation Lab in the Electrical and Computer Engineering Department at Seattle University.Dr. Jennifer M. Dorsey, University of Texas at Austin Jennifer works as an educational research consultant in addition to her work as a Senior Research Analyst at the Charles A. Dana Center, a grant funded group at the University of Texas at Austin. Jennifer re- ceived her doctorate in the Culture, Community, and
higher-level learning goals while ensuring students leave with an enduringunderstanding of fundamental concepts. For this course, we emphasized the following content: A. Modeling of electrical and mechanical systems using ordinary differential equations. B. Understanding the unilateral Laplace transform, including its use in modeling, analyzing input-output systems, and solving governing equations. C. Understanding and analyzing canonical responses of first and second order systems and how they can be used to inform analysis of higher order systems. D. Connecting poles and zeros of transfer functions to system response and stability. E. Creating, manipulating, and analyzing block diagrams. F. Understanding basic
: https://pubmed.ncbi.nlm.nih.gov/24341158/. [Accessed Nov. 14, 2020].[4] B. Bauman, “Why Plastics Can Be Garbage for the Climate,” Yale Climate Connections, Apr. 4, 2020. [Online]. Available: yaleclimateconnections.org/2019/08/how-plastics-contribute-to-climate-change/. [Accessed Dec. 1, 2020].[5] B. Eskenazi, R. A. Etzel, K. Sripada, M. R. Cairns, I. Hertz-Picciotto, K. Kordas, J. P. M. Torres, H. W. Mielke, Y. Oulhote, L. Quirós-Alcalá, J. R. Suárez-López, and M. G. Zlatnik, “The International Society for Children’s Health and the Environment Commits to Reduce Its Carbon Footprint to Safeguard Children’s Health,” Environmental Health Perspectives, vol. 128, no. 1, Jan. 2020. [Online]. Available
Experiential Learning Model defines learning preferences in terms of both (a) howinformation is acquired (concrete experience or abstract conceptualization) and (b) how informationis processed (active experimentation or reflective observation)13. Many engineering students fall inthe range outside the boundary of traditional lecture 14: • concrete (how course material relates to the real world) • active (in an environment that allows them to fail safely)Active learning is an attempt to expand the single one-size fits-all lecture approach to teaching toone which allows more students to operate in their comfort zone at least part of the time. Includingdemonstrations and active experiments expands the lecture to include the active students
, 2020.[4] C. Dziuban, C. R. Graham, P. D. Moskal, A. Norberg, and N. Sicilia, “Blended learning: The new normal and emerging technologies,” International Journal of Educational Technology in Higher Education, vol. 15, pp. 1–16, 2018.[5] C. N. Loes, B. P. An, K. Saichaie, and E. T. Pascarella, “Does collaborative learning influence persistence to the second year of college?” Journal of Higher Education, vol. 88, pp. 62–84, 2017.[6] R. A. Streveler, T. A. Litzinger, R. L. Miller, and P. S. Steif, “Learning conceptual knowledge in the engineering sciences: Overview and future research directions,” Journal of Engineering Education, vol. 97, pp. 279–294, 2008.[7] D. Evenhouse, N. Patel, M. Gerschutz, N
results of this research, first-year and second-yearstudents found online learning as the worst outcome of the pandemic compared to social distancingand unemployment. Hence, integrating self-discipline training or courses into curriculumespecially for new college students will be a game changer during these unprecedented times.Imbedding more active learning elements, group projects and assignments, optional in-person labsand meetings, and breakout rooms activities to online courses besides sending weekly updates canstimulate students and mitigate the effect of social isolation.References[1] J. Crawford, K. Butler-Henderson, J. Rudolph, B. Malkawi, M. Glowatz, R. Burton, P. A. Magni, S. Lam, “COVID-19: 20 countries’ higher education intra
elements of mechatronics education in a minimal class time of three credit hours wasdeveloped. Since the course topics were well known, the the challenge was on developing aninstruction method that enables all intended topics to be covered without overwhelming studentsin their learning process. It is known that most students approach the learning process through one of the followingmethods 17,18 : (a) surface approach, which relies on memorization of the facts; (b) deep approach,which deeply probes into the facts and their limits; and (c) strategic approach, which mixes bothsurface and deep approaches with the purpose of scoring highest in the examination. Based onreview results of 17,19 , it was decided to design a curriculum that will lead
this work was provided by the USA National Science Foundation's ImprovingUndergraduate STEM Education (IUSE) program under Award No. 1836504. Any opinions,findings, and conclusions or recommendations expressed in this material are those of the authorsand do not necessarily reflect the views of the National Science Foundation.References[1] L. Gelles, S. M. Lord, G. D. Hoople, D. A. Chen, and J. A. Mejia, “Compassionate Flexibility and Self-Discipline: Student Adaptation to Emergency Remote Teaching in an Integrated Engineering Energy Course during COVID-19,” Education Sciences, vol. 10, no. 11, p. 304, 2020. https://doi.org/10.3390/educsci10110304[2] B. Momo, G. D. Hoople, D. A. Chen, J. A. Mejia, and S. M. Lord, “Broadening
class performance, as well as critiques from students. I identified severalteaching workshops to gain some instructional training and discussed attending them with mydepartment chair. Finally, I showed how attending the conferences has culminated in improvingmy teaching effectiveness.In my quest to be a student-centered instructor, I believe the SET is an essential data source thatcan be used to assess teaching effectiveness. Other data points exist that can complement SETs.For instance, discussions with other faculty members showed that they also found SETs helpful,but they did not use them in isolation. Peer evaluation of instruction was an additionalconsideration in assessing teaching effectiveness.References[1] B. Algozzine, J. Beattie, M
could change the course to virtual instruction for the same reason. Table 1: Categories of Social Distancing used in ARCE 106 Category Description of Precautions Needed for this Social Distancing Category A All virtual – no social distancing required B Outdoor environment – wearing masks; students passed university’s daily digital screening tool as reported on their smartphones C Indoor lab with sufficient ventilation to simulate outdoor environment– same as B and lab must have sanitation stations and appropriate signage D Indoor classroom where students will remain six feet apart – same as C
are brieflydiscussed for the benefit of the CE students. The textbook used also has FE style practicequestions for students to review if desired.This is not to say that teaching the theory behind concepts such as equivalency or return oninvestment is not essential or done in the course. Engineers must be taught to go beyond the“calculations” and they must be able to draw conclusions that help business owners make goodeconomic decisions. This requires that they can answer such questions as, “What does that IRRmean to my business?” We place a strong emphasis on drawing conclusions and making adecision…not just providing a number for NPV or IRR or a B/C ratio. This is what engineersdo…solve problems and make decisions… so a solid understanding
Paper ID #34739Deep Learning at a Distance: Remotely Working to Surveil SharksGrace Nolan, California Polytechnic State University, San Luis Obispo Grace is a third year Computer Science student and Undergraduate Researcher at Cal Poly SLO. Her experience and areas of interest are in artificial intelligence and UI/UX design.Prof. Franz J. Kurfess, California Polytechnic State University, San Luis Obispo Franz J. Kurfess is a professor in the Computer Science and Software Engineering Department, California Polytechnic State University, San Luis Obispo, where he teaches mostly courses in Artificial Intelligence, Human
Conference and Exposition, 2013.[12] H. B. Carlone and A. Johnson, “Understanding the science experiences of successful women of color: Science identity as an analytic lens,” J. Res. Sci. Teach., vol. 44, no. 8, pp. 1187–1218, Oct. 2007.[13] H. G. Murzi and L. D. McNair, “Comparative dmensions of disciplinary culture,” in ASEE Annual Conference and Exposition, 2015.[14] M. Eliot and J. Turns, “Constructing professional portfolios: Sense-making and professional identity development for engineering undergraduates,” J. Eng. Educ., vol. 100, no. 4, pp. 630–654, 2011.[15] D. M. Riley, “Aiding and ABETing: The bankruptcy of outcomes-based education as a change strategy,” in ASEE Annual Conference and Exposition
Paper ID #35527Paper: Efficacy of teaching entrepreneurial mindset using a game-likeactivityDr. Anoop Singh Grewal, Arizona State University Anoop Grewal (agrewal6@asu.edu) is a lecturer at Arizona State University in the Ira A. Fulton Schools of engineering since 2014. He received his doctorate in Mechanical and Aerospace engineering (in the field of Theoretical and Applied Mechanics) from Cornell University. His research background is in robotics but his passion lies in engineering education. At ASU he is part of the instructional team for ”Introduction to Engineering”, a multidisciplinary project based course. He also
. DOI: 10.1177/0047239516661713. [4] Li, C., & Irby, B. (2008). An Overview of online education: Attractiveness, benefits, challenges, concerns, and recommendations. College Student Journal, Part A, 42, 449– 458. [5] Luyt, I. (2013). Bridging spaces: Cross-cultural perspectives on promoting positive online learning experiences. Journal of Educational Technology Systems, 42, 3–20. [6] McInnery, J. M., & Roberts, T. S. (2004). Online learning: Social interaction and the creation of a sense of community. Educational Technology & Society, 7, 73–81. [7] Niess, M., & Gillow-Wiles, H. (2013). Developing asynchronous online courses: Key instructional strategies in a social metacognitive constructivist
]. ABET describes student outcomes as a collection of skills that engineering graduates mustpossess for success in the professional field. ABET has recently shifted from the earlier (a) to (k)scheme to a new (1) to (7) classification of student outcomes. However, this paper follows theprevious scheme, as the new one is still in a state of flux in terms of adaptation. Targeting moreaccurate and meaningful assessment, the Mechanical Engineering faculty at our department helda long series of deliberations, and sub-divided the ABET students outcomes (SOs) intoperformance indicators (PIs). For example, ABET SO (b) “an ability to design and conductexperiments, as well as to analyze and interpret data” was divided into three PIs: (b1) “ability todesign