PlayDoh container lidstaped to the motor hubs to act as wheels. Thelight sensor is mounted to the back of thevehicle with the aforementioned piece ofcardstock leaning against it to shade it. Once thelight sensor was exposed to light, it began tomove forward. On the front of the vehicle was afeature designed to insert itself into a receptacleon the next robot. Page 23.956.6 Fig. 3. Group 1's robot. (Photo by author) Fig. 4. Group 2's robot. (Photo by author)The fifth group’s robot was a drag sled, shown Fig. 5. Group 4's Robot. (Photo by author)in figure 7. In the receptacle feature on
price model was developed when I worked for Unocal Corporation in the1980’s. It is based on theories developed in finance and engineering economy that are similar tothe “discounted cashflow” method of stock evaluation (Rahgozar, 2008, Becchetti et all, 2004,Rawley et al 2006). When at Unocal, my colleagues and I in the strategic planning departmentbuilt a model to forecast the stock price of Unocal during the take over fight with T. BoonePickens (McCoy, 1985). We used the model to predict the change in the stock price asinformation was relayed to the investment community. It was very accurate and was extremelyhelpful in the take over defense.The point of this project, as it was in the case of Unocal’s stock price model, is not to develop amodel
(STEM) has become a majorconcern in the United States in recent years21,22. It is widely accepted that the United States’leadership position in the world relies largely on its scientific and technical expertise. In thistechnological era, as the demand for the workforce in the STEM fields continues to grow, moreinvestments must be made in STEM education to prepare enough scientists and engineers whowill create the innovations vital for the success of the U.S. economy. However, the currentoutput from the U. S. educational system is struggling to meet this exponentially increasingdemand for scientists and engineers25. The impending wave of retiring baby boomer STEMprofessionals will worsen the situation in the next few years44. The shortage in
could increasethe number of students in engineering if attraction rates were higher (or abstention lower).Examining alternate pathways such as the ones explored here can lead to a better understandingof how students enter and exit engineering, which can permit a more comprehensive view of theengineering student body, who composes it, how to attract and retain such students and how wemight engender a more diverse student body.AcknowledgementsThis work is supported by the National Science Foundation (NSF) through awards 0811194 and0935157. The opinions expressed in this article are those of the authors and do not necessarilyreflect the views of the NSF.References1 Ohland, M.W., Sheppard, S., Lichtenstein, G., Eris, O., Chachra, D. & Layton
, have been themajor driving force of this movement. Correspondingly, we developed industry-like activities andproject scenarios for collaborative student teams, using existing and newly acquired Internet-basedComputer Numerical Control (CNC) machines, industrial robots and quality assurance systemsthat include cutting-edge, production equipment such as high speed computer numerical controlmilling machine(s) and ABB IRB120 6-Axes industrial robot.Renishaw QC20-W (Wireless) Ballbar SystemThe Renishaw QC20-W Ballbar and the software package is used to measure geometric errorspresent in a CNC machine tool and detect inaccuracies induced by its controller and servo drivesystems. Errors are measured by instructing the machine tool to “Perform a
research, will be to establish learningoutcomes and measures. In order for this project to be useful to future instructors, knowledgeabout what to expect and how to measure the success of their students will be important. Ourgoal is to provide the student with a learning environment that stimulates and enhances learning,knowing what to expect will be invaluable to the instructor of the course.References[1] T. H. Laine and R. S. N. Lindberg, “Designing Engaging Games for Education: A Systematic Literature Review on Game Motivators and Design Principles,” IEEE Transactions on Learning Technologies, 13(4), pp. 804-821, 2020.[2] M. J. Mayo, “Games for Science and Engineering,” Communications of the ACM, 50(7), pp. 31-35, 2007.[3
and do not necessarily reflect the official policy or position of theUnited States Military Academy, Department of the Army, DoD, or U.S. Government.References[1] S. Nicholson, “Creating Engaging Escape Games for the Classroom,” Child. Educ., vol. 94, no. 1, pp. 44–49, 2018, [Online]. Available: https://doi.org/10.1080/00094056.2018.14203.[2] E. Ozcelik, N. E. Cagiltay, and N. S. Ozcelik, “The effect of uncertainty on learning in game-like environments,” Comput. Educ., vol. 67, pp. 12–20, 2013, doi: 10.1016/j.compedu.2013.02.009.[3] R. Garris, R. Ahlers, and J. E. Driskell, “Games , motivation , and learning : A research and practice model,” Simul. Gaming, vol. 33, no. 4, pp. 441–467, 2002, doi: 10.1177
theuncertainties surrounding climate change. These projects will provide a direct assessment of theknowledge, skills, and abilities of the students that will provide a more robust insight into theefficacy of the proposed methodology for integrating climate change in engineering education.AcknowledgementThis material is based upon work supported by the National Science Foundation under Grant No.(NSF grant number 2219532). Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation.References[1] M. J. Martin et al., “The climate is changing. Engineering education needs to change as well,” J. Eng. Educ., vol. 111, no. 4, 2022
a group of ... (select only one) 22. In this course, I learn how to use ANSYS mostly from (select only one) 23. In this course, I learn how to code the FE method mostly from (select only one) 24. In the future, the number of mini projects should be (select only one) 25. The difficult issues of the teamwork are (you may select more than one) 26. The most difficult part of the course to learn is (select only one) ... 27. When working on mini projects, I prefer to work with (select only one) ... 28. My favorite task(s) in mini projects have been ... 29. In the future, I would like to study FE simulation for the following topics (you may check more than one)Results and DiscussionQuestions 1 to13 are relevant to the
said to be stationary allows the correlationbetween any two values of y taken from different time periods to depend on the difference aparton time between the two values for all t≠s. We first test whether the series used in theregression process is a difference stationary or a trend stationary. The Augmented Dickey-Fuller 𝑛(ADF) test is used to determine a unit root for the yt in the following equation ∆𝑦 = 𝛽1 + 𝛼𝑦 𝑡−1 + γ ΣΔy 𝑡−1 + ε 𝑡 𝑡=1 (2)where yt represents all variables (in the natural logarithmic form) at time t, Δ is the firstdifference operator. β1 is a constant, n is the
, 2009. Accessed: Jan. 26, 2024. [Online]. Available: https://www.proquest.com/openview/75686b894eb3100e05681fc2768fcfba/1[3] J. H. Robbins and D. M. Schmitt, “Who is leading us toward quality professional development? ,” in American Association of Colleges for Teacher Education, Chicago. Accessed: Jan. 26, 2024. [Online]. Available: https://files.eric.ed.gov/fulltext/ED367632.pdf[4] S. A. Woods, N. Diprose, M. Murphy-Diprose, and G. Thomas, “Effective interim leadership and management: development of a cyclical model of interim assignments,” Journal of Organizational Effectiveness, vol. 7, no. 2. Emerald Group Holdings Ltd., pp. 173–190, Jul. 17, 2020. doi: 10.1108/JOEPP-10-2019-0094.[5] K. W
problem for sufficiently large numbers, for most introductory C programming this is not aproblem. For example, strlen returns an unsigned integer. This means the following code can leadto a compiler warning.f o r ( i n t i = 0 ; i < s t r l e n ( ” H e l l o ” ) ; i ++)Some other issues were the sluggishness of every operation. Running Ubuntu inside a virtualmachine is taxing on the graphics card, and the slow build times of catch2 was a frequent complaint.Novice students tend to write relatively small programs, so the additional compile time can slowdown their development cycle.In subsequent iterations, students running Windows were instructed to use Windows Subsystem forLinux (WSL) instead of a hypervisor. Visual Studio Code (and CLion) both
. AcknowledgmentsThis work was supported through funding by the National Science Foundation (NSF CAREER#2045392). Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation. Additionally, the authors gratefully acknowledge the anonymous reviewersfor their constructive feedback, which helped us to sharpen the paper. References[1] S. A. Bjorklund, J. M. Parente, and D. Sathianathan, “Effects of faculty interaction and feedback on gains in student skills,” J of Engineering Edu, vol. 93, no. 2, pp. 153-160, 2004.[2] E. K. Briody, E. Wirtz, A. Goldenstein, and E. J. Berger, “Breaking
the systemic investment of time to address the challenge of teachingfor tenure-track faculty members, particularly new faculty who can receive shared resources,teaching approaches, and mentoring to teach engineering courses. On the other hand, otherfaculty members addressed the role of engineering departments on complex issues for teachinglarge class size undergraduate engineering classes. A faculty member pointed out that“Requirements of teaching personnel, space, and equipment for specific classes should beclearly spelled out and agreed on by the department(s)." Although teaching has been morevalued in this college of engineering in recent years, compared to research, college ofengineering and individual engineering departments will need to
. 5Acknowledgments We thank the Petit Family Foundation's Haley's Hope and Michaela's Miracle MSMemorial Fund; Balvi Filantropic Fund; TexAire Heating and Air Conditioning; The HomeDepot; and the University of Connecticut School of Medicine, College of Engineering, andSchool of Nursing for financial support, discounted materials, and/or donations of materials.References[1] B. U. Lee, "Minimum sizes of respiratory particles carrying SARS-CoV-2 and the possibilityof aerosol generation", Int. J. Environ. Res. Public Health, vol 17 (19), pp 1–8, 2020.[2] S. Karimzadeh, R. Bhopal, H.N. Tien, "Review of infective dose, routes of transmission, andoutcome of COVID-19 caused by the SARS-COV-2: comparison with other respiratory viruses",Epidemiology and
variety of instructional modes. Future studies could benefit from a designwhere students experience each mode of instruction for different subjects to provide a moreaccurate measure of preference and performance. Such research would offer a deeperunderstanding of how different instructional modes influence learning outcomes and couldpotentially inform more effective educational practices. References[1] Freeman, S., et al. 2014. Active learning increases student performance in science,engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23),8410-8415.[2] Prince, M. 2004. Does active learning work? A review of the research. Journal ofEngineering Education, 93(3), 223-231.[3
for lab instructors to assist their lab development, assignments, assessments, andfeedback, and the student’s guide, designed to support students in writing lab reports. Theinstructor’s guide has six modules, while the student’s has thirteen. Each module has a separateweb page with graphics and example files. Figure 1 shows module page examples from eachguide.After collecting all the written lab instructional materials from the participating lab courses, wereviewed them quantitatively to identify which module(s) from the guides were used for each labcourse in the experiment year. This approach showed how participating lab instructors used ourmodules to update their lab writing instructions. We also conducted a qualitative analysis tocompare
qualitative results. A more detailedexplanation of the number and types of questions can be seen below in Figure 4, as well as thefour complete student surveys found in Appendix 1. Figure 4: Assessment strategy during each sample semester of CE350: Infrastructure Engineering, dividing the entire course into two even groups to get a balance of responses both before and after the lesson.Students in “Group 2” were presented with a shorter, qualitative-focused survey before thelesson. Unlike Group 1, Group 2’s initial questions were only meant to gauge studentknowledge of the material before the demonstrator lesson. In this way, Group 2 was used as acontrol group to prevent all students from seeing the qualitative questions
mitigated.Second, the question of “What language should we teach our course in?” is asked of CS1 andCS2 instructors all the time. Courses can and do change their language(s) of choice based on thechanging needs of students. While the findings here suggest that a change in language may notcreate many challenges to students in downstream classes, it is important to recall the limitationsof this study. Many students have self-selected into pathways that indicate they are stronglyprepared to pick up a new language without much trouble. Not all students will be able to do thiswith ease. Nor are computing languages structured in the same way. An AP student with abackground in Java may transition better to a course in C++ than a CS1 student with abackground in
#1915615, titled “Adapting an Experiment-centric Teaching Approach to Increase StudentAchievement in Multiple STEM Disciplines”. It should be noted that the opinions, results andconclusions or recommendations expressed are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.References[1] F. Commodore, M. Gasman, C. Conrad, and T.-H. Nguyen, “Coming Together: A Case Study of Collaboration Between Student Affairs and Faculty at Norfolk State University,” Front. Educ., vol. 3, May 2018, doi: 10.3389/feduc.2018.00039.[2] O. S. Tan, Problem-based Learning Innovation: Using Problems to Power Learning in the 21st Century. Thomson, 2003. [Online]. Available: https://books.google.com
study. There are likely learning opportunities availableregarding the reach and impact of the podcast for student creators possible with these tools.Nevertheless, this work has shown success in asynchronously delivering a nature-inspiredpodcast creation curriculum. The project will continue to be included as an asynchronousenrichment component to the Industrial Controls course used in this study.6. References• [1] S. Protopsaltis and S. Baum, "Does online education live up to its promise? A look at the evidence and implications for federal policy," Center for Educational Policy Evaluation, pp. 1-50, 2019.• [2] D. T. Altindag, E. S. Filiz, and E. Tekin, "Is online education working?," National Bureau of
lectures as an alternative to traditionallectures, finding that such interactive tools enhanced student understanding of key conceptscompared to traditional passive learning environments [10]. Julie Linsey and her team in 2009used pre/post lecture quizzes to evaluate active learning tools in an engineering mechanics course,observing measurable increases in learning outcomes compared to standard lectures [11].Similarly, Jeffrey S. Nevid and colleagues in 2009 employed mastery quizzes before and after thelecture in an introductory psychology course, demonstrating their effectiveness as a pedagogicaltool to focus student attention on important lecture concepts and predicting course examinationperformance [12].The beneficial impacts of pre-post
result of achieving the stated learningobjectives for transportation concepts, ECP has positively impacted transportation engineeringstudents' understanding of transportation concepts. ECP has demonstrated that students betterunderstand the modules' expected learning outcomes.AcknowledgmentThis study is part of the work that was supported by the National Science Foundation Grant #1915615, titled “Adapting an Experiment-centric Teaching Approach to Increase StudentAchievement in Multiple STEM Disciplines”. It should be noted that the opinions, results andconclusion or recommendations expressed are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.References[1] S. Zhu, F. Xie, and D. Levinson
, S, and T-gates and analyzing the results. 2. Create Quantum-Dice game using Qiskit applying Hadamard gate to create a superposition state. 3. Create a Quantum Coin-Flip game, Quantum Tic-Tac-Toe, and Quantum Rock-Paper Scissors game using different quantum gates. Students should use IBM Quantum Simulator 4. Create quantum search Algorithm using simple Grover Search Algorithm and analyzing the results 5. Using IBM Qiskit, implement QFT Algorithm on different states such as a five-qubit state of ‘10110’ 6. Using the Provider Object, find how many quantum systems do they have access to for 5 or more qubits. 7. Using IBM Simulator, create and draw a schedule with Gaussian Waveform from the
outside of the US educational system.The instances in which the authority figure refused to discuss theories and class materialshappened during his time in Saudi Arabia, within the ME education system. A similar experiencewas mentioned by Student 102: Interviewer: “You mentioned that there was a difference between studying back home and then studying here in the us. When it comes to the professors back home and the professors here, what do you think is the main difference? Student 102: “You won't be given the opportunity to ask questions there … Back home, if you are allowed to ask a question, that question would be either answered with yes or no, and that's it.”Student 102’s experience with questioning
Education, vol. 35, no. 4, pp. 601-635, 2013.[7] J. P. Smith III, A. A. DiSessa, and J. Roschelle, "Misconceptions reconceived: A constructivist analysis of knowledge in transition," The journal of the learning sciences, vol. 3, no. 2, pp. 115- 163, 1994.[8] J. H. Wandersee, J. J. Mintzes, and J. D. Novak, "Research on alternative conceptions in science," Handbook of research on science teaching and learning, vol. 177, p. 210, 1994.[9] S. Vosniadou, "Conceptual change research: An introduction," in International Handbook of Research on Conceptual Change: Routlege, Taylor and Francis, 2013, pp. 1-8.[10] C. A. Chinn and W. F. Brewer, "The role of anomalous data in knowledge acquisition: A theoretical
ina while loop, running it repeatedly until the stop button is pressed. In this mode, the VI continuouslymonitors its inputs and adjusts its output(s). This feature makes the VI resemble a live instrument,rendering “what if” type explorations much more real. In a static environment like that of Fig. 1,“what if” type questions may be explored by typing the command string over and over with variousparameters, but the immediacy is lost. The allusion to an instrument responding to the user’s inputsis lost, diminishing the joyful interaction with the program.Allusivity in ProgrammingMany processes in communication systems, digital signal processing and control systems aredescribed with block diagrams. Therefore, programming environments that use
the columns of the matrix S1T V :, nelement 1: nspeciesspan N(A). Thus, equation (1) becomes, T T S1 dc dcT S1 0 S1 0, (4)where the implication is supported by the fact that dc can be any element of N(A), which is aconsequence of the detailed balancing principle. The MATLAB implementation is simple, i.e., [U,S,V]=svd(A); S1 = V(:,Nel+1:end)’.Note that the vector μ contains the unknown mole fractions X, in fact, ˆ ˆ / RT g 0 / RT log X log p / p0 ,where g0 ≡ h
s Vpbest Xk r Vini XFigure 2 Position update of a PSO particle (r, s and t are some constants)i) Initialize a population (array) of particles with random positions and velocities of d dimensions in the problem space.ii) For each particle, evaluate the desired optimization fitness function in d variables.iii) Compare particle’s fitness evaluation with particle’s pbest. If current value is better than pbest, then set pbest value equal to the current value and the pbest location equal to the current location in d-dimensional space.iv) Compare fitness evaluation with the population’s overall previous best
1. Barcala, M., Ahmed, S.M., Caballero, A. and Azhar, S. 2003. The 4D-CAD: a powerful tool to visualize the future. Proceedings of the Second International Conference on Structural and Construction Engineering, 23-26 September, 2003, Rome, Italy. Vol. 3, pp. 1979-1982. 2. Berglund, A., Mats, D., Hedenborg, M., and Tengstrand, A. 1998. Assessment to increase students’ creativity: Two case studies. European Journal of Engineering Education, March 1998. Vol. 23. Issue 1 pp. 45- 55. 3. Berver, E., Jerse J.O., Fowler D.W., and Wheat, H.G. 2003. Laboratory and field observations of composite – wrapped reinforced concrete structures. Proceedings of the Second International Conference on Structural and Construction Engineering, 23