switch, it informs Core S witch Core S witch all the access/ToR to route the packets accordingly. An algorithm is used to provide the solution called Edmonds algorithm [11]. Aggregation Layer Switch Aggregation Layer Switch Core S witch Aggregation Switch Aggregation
mobile robot motion planning methods: from clas- sical motion planning workflows to reinforcement learning-based architectures,” Journal of Systems Engineering and Electronics, vol. 34, no. 2, pp. 439–459, 2023. [2] E. W. Dijkstra, “A note on two problems in connexion with graphs,” Numerische Mathematik, vol. 1, no. 1, pp. 269–271, 1959. [Online]. Available: https://link.springer.com/article/10.1007/BF01386390 [3] P. E. Hart, N. J. Nilsson, and B. Raphael, “A formal basis for the heuristic determination of minimum cost paths,” IEEE Transactions on Systems Science and Cybernetics, vol. 4, no. 2, pp. 100–107, 1968. [4] S. Koenig and M. Likhachev, “D* lite,” in Proceedings of the AAAI Conference on Artificial Intelli- gence
effective. While the game is still in development, the proposed design representsgreat potential to improve learning in a core engineering course.References[1] R. Austin and B. Hunter, “ict policy and implementation in education: Cases in canada, northern ireland and ireland,” European Journal of Education, vol. 48, no. 1, pp. 178– 192, Feb. 2013. doi:10.1111/ejed.12013[2] O. S. Kaya and E. Ercag, “The impact of applying challenge-based Gamification Program on students’ learning outcomes: Academic achievement, motivation and flow,” Education and Information Technologies, vol. 28, no. 8, pp. 10053–10078, Jan. 2023. doi:10.1007/s10639-023-11585-z[3] L. Jaramillo-Mediavilla, A. Basantes-Andrade, M. Cabezas-González
1Exploring Systems Performance using Modeling and Simulation – Project-based Study and TeachingAbstractModeling and Simulation (M&S) provides a risk-free environment allowing the users toexperiment in a computer-generated virtual platform and analyze the what-if scenarios foreffective decision support systems. Due to its pervasive usefulness, the concept of M&S is widelyused across many sectors, including manufacturing, warehouse operations, supply chain, logistics,transportation, mining, and many more. The field of M&S requires computer-intensive andsoftware-based training, which is very different from teaching in a regular classroom setting.Hence, we develop a three-stage (mimic-guide-scaffold
Concepts and Selection (Individual Work) Week 12 - Risk and Critical Thinking (Individual Work) Weeks 13-15 Project Work (Group Work)Students were introduced to the Python language with an online tutorial guide supported by asimulator [16]. Given that the objective was not to teach a programming language, but to havethem deploy design functionality, they were allowed to access other resources and even usesource code from websites. They were given assignments for a number guess game to providethe concepts of loops and if statements. A following assignment had them write a program toflash the S-O-S pattern in Morse code on an LED. Surprisingly, many of the students providedunique and functional solutions, even though they were allowed to
Paper ID #37240WIP: ASEE Year of Impact on Racial Equity: 90 Day EquityChallengeJeremi S London (Assistant Professor) Associate Professor of Engineering Education at Virginia Tech Chair of ASEE's CDEI during the Year of Impact on Racial EquityYareni P Lara-rodriguez (Ms.) Yareni holds a manufacturing engineer degree from the Autonomous University of Nuevo Leon (UANL), Mexico. She has worked in the Applied Optimization Group at the University of Puerto Rico at Mayagüez (UPRM) as part of her research internship in the Department of Industrial Engineering. Afterwards, she earned a master’s degree from the
Foundation, National Center for Science and Engineering Statistics.“Women, Minorities, and Persons with Disabilities in Science and Engineering: 2021,” 2021.[Online]. Available: www.nsf.gov/statistics/wmpd/[2] J. M. Krogstad and L. Noe-Bustamante, “Key facts about U.S. Latinos for National HispanicHeritage Month,” Pew Research Center, Sep. 09, 2021. https://www.pewresearch.org/fact-tank/2021/09/09/key-facts-about-u-s-latinos-for-national-hispanic-heritage-month/.[3] Hispanic Association of Colleges and Universities, “2021 Hispanic higher education andHSIs Facts.” hacu.net. https://www.hacu.net/hacu/HSI_Fact_Sheet.asp (accessed January 18,2022).[4] Excelencia in Education, “25 Years of Hispanic-Serving Institutions: A Glance on Progress,”2020
before I ever started the program. There are only a few Fairly supportive Accessibility to the academic required courses advisor is critical. (S)He should make time to tend to advisee needs, academically, professionally, and personally. Very structured. Courses Somewhat supportive He's ok, by big research build on a set, specific university standards. He sequence for any
]. There are two components of the framework, instructional complexityand structural complexity [2]. Instructional complexity refers to the latent characteristics of thecurriculum, such as the quality of instruction. Currently, the instructional complexity is proxiedby pass/fail rates; little work has been done to expand this metric, with some exceptions likeHilliger et al.’s [12] mixed methods grounded theory study on what makes engineering coursesdemanding. Still, pass/fail rates appear sufficient for simulation studies [2,8].Next, structural complexity involves representing a plan of study as a network, where eachvertex is a course and the edges connecting them are the pre- and corequisites. Each course isassigned a delay factor, the longest
on this course redesign. Anecdotally,the changes which have been piloted in flipping the order of introduction of content and activelearning activities during instructor-led class sessions have thus far been very well received. Thework is being embraced and enthusiastically incorporated into the AY22-23’s version of thecourse. As shown in figure 1 the control portion of the study will run during the Spring ’22 term.The impact of the redesign will be measured when comparing these results to those gatheredduring AY22-23 across the five above-mentioned methods. The findings will be analyzed andincluded into a larger body of work focusing on the importance of teaching decision making inproblem-solving in STEM courses.The hope for this study is
methods in STEM education assessment topromote inclusivity, engage learners, and empower underrepresented and marginalizedcommunities. Such research can then inform future pedagogical practices, curriculum design,evaluation plans, and resource allocation to contribute to a more inclusive and diverse STEMlearning environment and resultantly, the future STEM workforce.ReferencesBattel, K., Foster, N., Barroso, L. V., Bhaduri, S., Mandala, K., & Erickson, L. (2021, October).“We Make the Village”-Inspiring STEM Among Young Girls and the Power of CreativeEngineering Education in Action. In 2021 IEEE Frontiers in Education Conference (FIE) (pp. 1-7). IEEE.Bevan, B. B., Barton, A. C., & Garibay, C. (2018). Why broaden perspectives on
learning with projectmanagement modules [4]. This research investigates the use of VR as an educational accessorywith the use of a VR headset (the Oculus Rift S), added with conventional classroom guidancefrom an educator. It also introduces undergraduate Construction Management (CM) students at alarge four-year university in Midwestern USA to the world of simulated VR and simultaneouslyassesses both their attitude to this hybrid learning and their academic performance and knowledgeperception regarding MEP (mechanical, electrical and plumbing) systems in the course material.The tentative findings focus on whether the students are positively impacted by this new hybridmethod of knowledge transfer, which has realms of possibilities in this new era
the critical to quality (CTQ) characteristics inprocesses and aims at reducing cost by reducing variability and achieving consistencyin performance (2). Any organization applying Six Sigma to reduce variation from itsbusiness processes will, after a certain period of time, realize that the benefits begin tofall. Similarly, any organization applying Lean will notice a gradual decline in thereturns after a certain period of time. Reducing waste alone cannot improve theprocess entirely and similarly reducing variation still leaves behind waste in businessprocesses (3).Lean theory proposes that work processes should be designed as a single, continuousflow containing all of the steps which incrementally add value in the eyes of thecustomer(s) and
]. Table 1: PDSA Details Phase Description Plan a change or test aimed at improvement Plan (P) by stating objective, questions, and predictions Carry out the change or run the experiment Do (D) and document problems and issues Analyze data graphically and statistically. Use earlier analysis to build a temporal Study (S) picture. Compare to prediction (expectations
various learning styles by individual learners can be catered to by drifting awayfrom typical scholastic activities: lecture – reading – theory-reinforcing calculation exercises –examination. The 21 learning activities listed in Table 2 can address most of the eight MI.Course evaluations will be undoubtedly more favorable if every student finds his/her favoriteniche activities during the course.QFD for Defining Course ActivitiesQuality Function Deployment (QFD) technique parallels engineering procedures used forexamining specifications and performances of products and processes 10, 11. Developed in the1970’s in Japan and used in Kobe Shipyard of Mitsubishi Heavy Industries, QFD methodologystemmed from quality improvement tables and was originally
teacher assigned ID andpassword (Fig. 5). After that s/he can select any module s/he likes to work on (Fig. 6), in thisstep, the program will tell the student how many time s/he has already tried. If the maximumtrial time is met, the system will not allow her/him to continue on this particular module. Page 14.643.7 Figure 4: Programming logic for accessing the database. Figure 5: GIVE model log in system Figure 6: Module selectionFigure 7(a) gives the overall picture of the course module. In Fig. 7(b) a movie clipcorresponding to the question is playing. In the movie clip, important aspects are highlighted
criteria are deemed a necessary aspect in educating the “Engineer of 2020.”2Our interdependent global society requires engineering skills to address issues related to health,security, and the environment, as well as international commerce.3As a major RAND research study concluded in the 1990’s, both universities and corporationsnow believe that students must understand the global nature of economics, speak otherlanguages, and be able to assess decisions in more than one culture. The research resultssuggested that universities must do more than “tinker with the edges of the curriculum.” Acomprehensive approach is needed, and relevant work experiences should be a primecomponent.4Work abroad experiences allow students to prepare for the global
-dirty prototypes to gain quick feedback. Functionalprototypes are built for benchmarking purposes while at the same time verifying whether theproposed solutions actually resolve the issue(s). Through the design-build-test process, it isexpected that students would develop the knowledge and experience of the “subject matterexperts”, and thus various activities at the project planning stage will become more meaningful.Using the test result(s) of functional prototypes, the team(s) will revise their solution(s) anddevelop a project plan to scale up their proposed solution(s), either with a product productionline or a service model. The paper will conclude by discussing the outcome of this approach,identify possible limitations, and provide
. Atman and K. M. Bursic, “Verbal Protocol Analysis as a Method to Document Engineering Student Design Processes,” Journal of Engineering Education, pp. 121- 132, 1998.[2] C. J. Atman, R. S. Adams, M. E. Cardella, J. Turns, S. Mosborg and J. Saleem, “Engineering Design Processes: A Comparison of Students and Expert Practitioners,” Journal of Engineering Education, pp. 359-379, 2007.[3] C. J. Atman, M. E. Cardella, J. Turns and R. Adams, “Comparing freshman and senior engineering design processes: an in-depth follow-up study,” Design Studies, pp. 325- 357, July 2005.[4] G. Mathews, M. Zeidner and R. D. Roberts, Emotional Intelligence, Cambridge: The MIT Press, 2002.[5] R. S. Adams and C. J. Atman, “Cognitive Processes
Paper ID #22808Gamification in Computer Science Education: a Systematic Literature Re-viewMrs. Mourya Reddy Narasareddy Gari, North Dakota State University I am Ph.D student at North Dakota State University. My research work is to see how different Learning strategies affect the student learning.Dr. Gursimran Singh Walia Gursimran S. Walia is an associate professor of Computer Science at North Dakota State University. His main research interests include empirical software engineering, software engineering education, human factors in software engineering, and software quality. He is a member of the IEEE Computer Society
and for the motion of a system of 1 or 2 rigid accelerations (linear and rotational) of 2 or 3 bodies moving in the plane. (Includes use of interconnected rigid bodies. P1.) R3 – Apply ode45 to solve equations of motion Supplemental Skills (must pass all R skills before S skills improve grade) S1 – Analyze oblique impact between two S1.1 – Analyze oblique impact between two rigid bodies. rigid bodies. S2 – Solve for the kinetics of mass flow S1.2 – Utilize principles of energy and systems. momentum to solve for the motion of a S3 – Determine the angular momentum of a system of 1 or 2 bodies. rigid body moving in 3D
spectral irradiance. Figure 4: Solar and white LED spectral distribution7. Student Feedback and Assessment MethodThe following survey questions were given to students and the results are shown below eachquestion. A five-point Likert scale was used (1: Strongly Disagree, 2: Disagree, 3: Neutral, 4:Agree, 5: Strongly Agree). Students were asked to assess how well the outcomes were met. Thetotal number of students who completed the survey was 21. Learning Outcomes: By the end of the lab, students should be able to: 1) Understand that a solar panel can produce an output voltage and current (or energy) when facing a light source. 1: S. D. 2: D 3: N 4: A 5: S. A. Avg. Avg
focused on building robots that can workin hazardous environments, but they also learned about different majors that explore roboticsconcepts in manufacturing, as well as the application of hydraulics for flood gates.AcknowledgmentThe project team wants to acknowledge Virginia Space Grant Consortium for its partnership inand continuous funding for the ODU BLAST program. 7References:[1] R. S. Andersen, S. Bøgh, T. B. Moeslund, and O. Madsen, "Intuitive task programming of stud welding robots for ship construction," in Industrial Technology (ICIT), 2015 IEEE International Conference on, 2015, pp. 3302-3307: IEEE.[2] S. Pfeiffer, "Robots, Industry 4.0 and humans, or why assembly work
/10573560308223[11] D. H. Schunk (1991). Self-efficacy and academic motivation, Educational Psychologist, vol.26(3-4), pp. 207-231, DOI: 10.1080/00461520.1991.9653133[12] D. H. Schunk & C. A. Mullen (2012). Self-efficacy as an engaged learner. In S. L.Christenson, A. L. Reschly, & C. Wylie (Eds.), Handbook of research on student engagement (pp.219-235). New York, NY, US: Springer Science + Business Media, http://dx.doi.org/10.1007/978-1-4614-2018-7_10[13] E. Skinner & M. J. Belmont (1993). Motivation in the classroom: Reciprocal effect of teacherbehavior and student engagement across the school year, Journal of Educational Psychology, vol.85(4), Dec, 1993, pp. 571-581, DOI: 10.1037/0022-0663.85.4.571[14] E. Kahu (2013). Framing student
and for the motion of a system of 1 or 2 rigid accelerations (linear and rotational) of 2 or 3 bodies moving in the plane. (Includes use of interconnected rigid bodies. P1.) R3 – Apply ode45 to solve equations of motion Supplemental Skills (must pass all R skills before S skills improve grade) S1 – Analyze oblique impact between two S1.1 – Analyze oblique impact between two rigid bodies. rigid bodies. S2 – Solve for the kinetics of mass flow S1.2 – Utilize principles of energy and systems. momentum to solve for the motion of a S3 – Determine the angular momentum of a system of 1 or 2 bodies. rigid body moving in 3D
school after decision to go to school hearing the graduate presentation school (Yes) SLCC 54 11 37 6 21% (F only) SLCC 87 28 42 17 32% (S only) SLCC 14 4 6 4 28% only Chemical Engineering (F,S) SLCC and 163 64 51 48 39% UoU (F,S,J,Sr)Table 1: Categories of and number of students surveyed and the results for each categoryKey: (F
ls dg s kil le
, Page 26.328.4Helping other people, Having others working under my supervision, Having job security,Working with people rather than objects, Inventing new things, Developing new knowledge andskills, Having lots of family time, Having lots of time for myself/friends, Making my owndecisions, Having an easy job, Having an exciting job, Making use of my talents/abilities,Working in an area with lots of job opportunities. Characteristics were rated on a scale of 1 to 6,where 1 = Not at all important and 6 = Very important. (For more information on the PRiSEproject and survey methodology, see 26, 27)Occupational DataThe most recent available occupational statistics were obtained from the U. S. Bureau of LaborStatistics (BLS). These include 2013
Educ., 12, 248-251.19. Kesidou, S. and Duit, R. (1993). Students’ conceptions of the second law of thermodynamics – aninterpretive study. J. Res. Sci. Teach., 30(1), 85-106.20. Kaper, W. H. and Goedhart, M. J., (2002a). Forms of energy, an intermediary language on the road tothermodynamics? Part I. Int. J. Sci. Educ., 24, 81-95.21. Kaper, W. H. and Goedhart, M. J., (2002b). Forms of energy, an intermediary language on the road tothermodynamics? Part II. Int. J. Sci. Educ., 24, 119-137.22. Roberts, I. F. and Watts, D. S., (1976). The teaching of thermodynamics at preuniversity level. Phys.Educ., 11, 277-284.23. Mettes, C.T., Pilot, A. Roosink, H.J. and Kramers-Pals, H., (1981b). Teaching and learning problemsolving in science, part II: learning