labPart A: Half-wave Rectifier CircuitIn the first part of lab, students learn about the half-wave rectifier circuits input and outputresponses with three different load conditions: A) The load is only a light bulb, B) The load isthe motor that they build, and C) The load is the light bulb parallel to the motor.A 3D printer box was provided for the four diode installations in rectifier circuits, as shown inFigure 4. This box increases the safety of the lab environment. This approach offers a superioralternative to traditional breadboards, which may not provide adequate protection againstaccidental contact with diodes. Students apply a half-wave rectifier circuit in Fig 4. a, where theload is only a light bulb, and measure the input and output
spring characteristic curve. This choice aimed to contextualize theconcept being taught, establishing a connection between the students and a familiar non-linear material. There were four types of elastic tubes that were provided to the students,each color can be associated to a specific level of resistance: a) The minimum resistance –yellow one b) Low-intermediate resistance – blue one c) Upper-intermediate resistance – redone, and d) The maximum resistance – black one, according to the manufacturer. Thepurposed activity can be divided into four stages: pre-class, during class, post-class, andstudent´s perception. The pre-class and post-class activities (equal for both phases) involveda quiz about elastic force and energy. This quiz included
, featuring a circuit configuration where a 12-volt battery isconnected to two bulbs arranged in series. However, a switch located at point A remains open. Inthis scenario, students are tasked with comprehending that an open switch prevents any currentflow within the circuit. The problem prompt requests explicitly the determination of the potentialdifference between points A and B. Given that point B is directly linked to the negative terminalof the battery, while point A is directly connected to its positive terminal, the potential differencebetween points A and B equates to the battery's voltage, which is 12 volts.To grasp this concept, students must recognize that the potential difference across its terminals iszero in the absence of current flow
on this positive interest from students, a committee of faculty who taught in math andsciences was convened to develop the program. Because of the institution’s historical strengths inthe sciences, the committee recommended that the institution offer a B. S. in EngineeringScience, which was subject to the same ABET criteria as B.S. programs in Engineering andEngineering Physics.[7] It was also believed that the program named Engineering Sciencewould be better accepted at a liberal arts institution where a degree such as engineering might beviewed by some as a strictly vocational major. The intent of the degree to equip students with abroad and general engineering background also reflected key principles of the liberal artsapproach.The
Paper ID #41064Smart Spirometer: A Project-Based Learning ExperienceProf. Bala Maheswaran COE Distinguished Professor, Northeastern University Bala Maheswaran, PhD COE Distinguished Professor Northeastern University 367 Snell Engineering Center Boston, MA 02115Lindsey Evelyn Adamchik, Northeastern UniversityKyle Murrah, Northeastern UniversitySabina Perry, Northeastern UniversityMiss Kiersten Alexandra Tomas, Northeastern UniversityDr. Haridas Kumarakuru, Northeastern University Haridas Kumarakuru, PhD, MInstP Department of Physics, College of Science, Northeastern University, 360 Huntington Ave, Boston, MA 02115 E.Mail
Paper ID #41071Development of Modeling and Communication Skills through a Project-BasedLearning Approach in the Physics LaboratoryProf. Rodrigo Cutri, Maua Institute of Techonology Cutri holds a degree in Electrical Engineering from Maua Institute of Technology (2001), MSc (2004) ˜ Paulo. He is currently Titular Professor and Ph.D. (2007) in Electrical Engineering - University of SAo of Maua Institute of Technology,AIRTON EIRASDr. Octavio Mattasoglio Neto Neto Undergraduate in Physics (1983), Master in Science (1989) and Phd in Education (1998) all of them from
building a CAT platform begins with the calibration of item parametersand the estimation of person parameters, following the principles outlined in various ItemResponse Theory (IRT) models [31,32]. These models involve one to four parameters that describecharacteristics of logistic curves. For instance, three-parameter (3PL) IRT models describe thelogistic curve using three item parameters, 'a', 'b', and 'c'. The 'a' parameter represents itemdiscrimination, the 'b' parameter represents item difficulty, and the 'c' parameter represents theguessing parameter, along with person parameters represented by 'θ' for ability1 as a latent trait. Parameters for each item are initially calibrated through pretesting where large numbers ofstudents answer
. The interaction radius R is also mirrored on theopposite side, which is why particles at the other end of the simulation area also affect thebehavior of the particle approaching the boundary [9].Boids modelThe boids model, created by Craig Reynolds [5], is based on three basic rules of behavior thatare assigned to each individuum in the swarm: separation, alignment, and cohesion. These areshown schematically in Figures 3 (a) to (c). (a) Separation (b) Alignment (c) Cohesion Figure 3: Visualization of the computational rules for the boids modelThe rule of separation states that each individual boid wants to maintain a minimum distancefrom their neighbors – the protected range, represented
] Kasey verbally indicated, “Isn’t it just the opposite ...No, it’s not the opposite way. Its um something like… I don’t know?” However, while she wassaying this, she made a loose fist with her right hand while pointing her thumb upwards (Figure3a) reminiscent of the Right-Hand Rule which indicates how a magnetic field curls around acurrent carrying wire. This gesture may have represented implicit knowledge that Kasey hadaccess to but could not verbalize.Fig 3. Kasey (a) describing the relationship between current and magnetic field, (b) describingthe direction of the arrows in the MARVLS app, (c) manipulating the Merge cube, (d) describingthe direction of the magnetic field, (e) describing the relationship between current and magneticfield
be privileged over the theory.Regarding the survey, information (data, charts) from the CANVAS platform wascollected, which was then consolidated and analyzed in Excel spreadsheets.Results and discussionDescriptive questionsIn the four sections, there was a response rate of 25% from the students (55 in total). Theresults will be presented in the different sections of the survey below. We will start with themultiple-choice questions. The results are shown in Figure 1.Figure 1. Descriptive statistics of students: a) the highest level of education attained beforeentering the program, b) their current employment, and c) their plans after graduation.The first question pertained to the respondent's level of education when entering theprogram
/jupyter/wiki/Jupyter- kernels.[5] J. W. Johnson, "Benefits and Pitfalls of Jupyter Notebooks in the Classroom," in SIGITE '20: Proceedings of the 21st Annual Conference on Information Technology Education,, 2020.[6] L. A. B. e. al., "Teaching and Learning with Jupyter," 2019. [Online]. Available: https://jupyter4edu.github.io/jupyter-edu-book/.[7] Y. Z. a. H. V. Abdulmalek Al-Gahmi, "Jupyter in the Classroom: An Experience Report," in Proceedings of the 53rd ACM Technical Symposium on Computer Science Education, Providence, RI, 2022.[8] "UW-IT JupyterHub for Teaching," 2024. [Online]. Available: https://itconnect.uw.edu/tools-services-support/teaching-learning/jupyterhub-for- teaching/.[9
Paper ID #43666Exploratory Literature Review of Education Theories Guiding Engineeringand Physics OutreachDr. Emmabeth Parrish Vaughn, Austin Peay State University Dr. Emmabeth Vaughn is an Assistant Professor in the Physics, Engineering, and Astronomy Department at Austin Peay State University. Before join faculty at Austin Peay, she worked in industry as a Product Development Engineer for a commercial roofing manufacturer. She holds a bachelors degree from the University of Tennessee in Materials Science and Engineering. She earned her PhD from the University of Pennsylvania, where her thesis topic was Nanoparticle
deeplearning. It is likely that the integration of deep learning courses into undergraduate engineeringprograms will be a growing trend in response to the increasing importance of AI and ML indiverse engineering disciplines.AcknowledgmentThis research was partially funded by National Science Foundation Award AGS-2414513 and theNIH R-25 Program.References[1] J. Clerk Maxwell, “On governors,” Proceedings of the Royal Society of London, Vol. 16 (1867-1868), pp. 270-283.[2] Mayr, O., 1971. “Victorian physicists and speed regulation: An encounter between science and technology.” Notes and records of the Royal Society of London, 26(2), pp.205-228.[3] Edwards, P. A.; McKay, B. J.; Sink, C. W. First year chemistry laboratory calculations on a
: EJ985818. [Online]. Available: https://eric.ed.gov/?id=EJ985818[17] M. A. Mathison (Editor), Sojourning in disciplinary cultures: a case study of teaching writing in engineering. Utah State University Press, 2019.[18] R. W. Hendricks and E. C. Pappas, “Advanced engineering communication: An integrated writing and communication program for materials engineers,” Journal of Engineering Education, vol. 85, no. 4, pp. 343–352, 1996. [Online]. Available: https://onlinelibrary.wiley.com/doi/10.1002/j.2168-9830.1996.tb00255.x[19] R. S. Harichandran, J. Nocito-Gobel, E. Brisart, N. O. Erdil, M. A. Collura, S. B. Daniels, W. David Harding, and D. J. Adams, “A comprehensive engineering college-wide program for developing technical
Paper ID #43906Engaging University Students in Practical Physics Labs through MotivationalActive LearningOluwapemiisin Gbemisola Akingbola, Morgan State University A Graduate Student of Electrical Computer Engineering at Morgan State University. Specialization in smart and connected systems, signal intelligence and network security.Mr. Pelumi Olaitan Abiodun, Morgan State University Pelumi Abiodun is a current doctoral student and research assistant at the department of Civil Engineering, Morgan State University, Baltimore, Maryland. Pelumi got his BSc and MSc degree in Physics from Obafemi Awolowo University, where he
Paper ID #43823Improving an Online and Self-instruction Course: Students Expectancy andAuto-regulationMr. Carlos Pineida, Universidad Andres Bello, Chile Carlos Pineida has dedicated over 20 years to teaching physics. He earned a Master’s degree in University Teaching, focusing on developing experimental skills in students and fostering their scientific thinking. Carlos has had the privilege of inspiring numerous students in the fascinating world of science. He is currently a faculty member at the University Andres Bello in Chile, teaching physics within the Faculty of Engineering. He specializes in courses for the first