as well, as a focal pointof our design was availability and convenience. Thus, we arrived at a prototype that is 1) cheapand easy to build, 2) relatively small and easy to install, 3) interchangeable with most plumbingsystems in bathrooms and kitchens, resizability would also account for this, 4) environmentallyconscious materials. Our device is a water wheel that can be fitted onto many different types ofpipes, and produces a small amount of energy. We believe that with many of these within a buildingwe would be able to generate a reasonable amount of energy for utilization for any purpose.IntroductionToday, people are using electricity more than ever, and as climate change is increasingly creepingup on us, finding new sustainable sources
this topic. Our work addresses this gapby designing a novel immersive technique for visualizing relativistic effects and comparing thistechnique to existing non-immersive methods of instruction.IntroductionAlbert Einstein’s theory of general relativity (GR) is currently the leading theory to explaingravity, one of the four fundamental forces of physics. First proposed in 1915, GR has sincebeen validated by numerous experiments, including the detection of gravitational waves thatcaptured the public’s attention in 2015 [1], [2]. In addition to the significant contribution ofGR to our understanding of the universe, it also finds practical application in our daily livesthrough the GPS that allows us to navigate with our phones. Unfortunately, GR
traditional daytime undergraduate curriculum. By"compressed version," we mean teaching the same program as the daytime undergraduateprogram, with the same level of demand, but in a shorter period and without makingsignificant adaptations to the reality of "working students."At least initially, there exists a perception that generally, only a minority of students enteruniversity driven by intrinsic motivation [1], and an even smaller portion envisions a careeras an academic or researcher [2]. Typically, motivations tend to be more pragmatic,especially acquiring a degree and the necessary learning to gain access to employment orundertaking ventures that allow them to make a living. Working students aim to obtain aprofessional degree that offers them
related to electricity using PhET simulations?MethodologyThis research uses quantitative methodology. Students participated in assessments using aninventory focused on electrical concepts, and a survey was conducted to assess perceptions ofusing PhET interactive simulations as a teaching resource.Context and participantsThis study was conducted in a one-semester general physics course at the university level in aprivate university in Chile. The main topics covered in the course are kinematics,thermodynamics, electric circuits, and waves. Lecture time is in-presence modality (3 hours perweek), and the workshop is offered online (1.5 hours per week). Workshops are not mandatory;thus, the sessions are recorded. However, students must attend or
CAT, thesystem generates a final estimate of the examinee's ability. In line with the objective of CD-CATto ascertain students’ skill mastery, post-CAT responses are analyzed through the CDM DINAmodel to evaluate mastery and non-mastery statuses. To illustrate the operational efficacy andmechanics of the CD-CAT system, Figure 1 illustrates the proficiency estimation over the first 18questions of a theoretical student taking the MCD. Figure 2 shows the CD-CAT process in LASSO.Figure 3. Example of a potential student report from the MCD.9Discussion The deployment of the MCD using a CD-CAT framework and delivered on the LASSOplatform marks a significant evolution in educational assessments. CAT's ability to adjust questiondifficulty in
motivated and had less anxiety with enhanced critical thinking.IntroductionEducators are saddled with the responsibility of ensuring every learning objective is met whilecreating an engaging student environment [1]. Educators must ensure that every experiment isdesigned with practical applications in mind and implemented in a safe environment. This aids theinstructors in facilitating critical thinking amongst the learners, ensuring that they can proffersolutions to essential questions. These guides and resources are models that support progressivelearning and peer-to-peer collaborations. Also, they can foster an inclusive learning atmosphereand encourage continuous improvement. Laboratory sessions are an integral part of the richlearning experience
suitability andusefulness of the videos. The survey was constructed with references to questions used in twopreviously validated surveys by [1] and [2]. Table 1 outlines the Likert-type survey questions.Table 1. Likert-type survey items were used, with informative questions marked in blue. Flipped classroom materials help to improve the understanding of the theoretical parts of theQ1 lesson.Q2 Flipped classroom materials are an important aid in understanding problem-solving. I review the flipped classroom materials before the question-and-answer session in whichQ3 the respective content is covered. After the question-and-answer session, I review the flipped classroom
are consistent across all courses within this area of general education core. Table 1. Natural-Scientific Inquiry Learning Outcomes LO In this course, you will cultivate the following Habits of Mind: 1 Describe, evaluate, and communicate experimental results using appropriate technical, qualitative, and quantitative skills. 2 Analyze and interpret data or theories about natural phenomena, using pertinent scientific terminology, principles, and theories. 3 Synthesize theory, observation, and experimentation to understand the natural world through laboratory simulation, or field experience. 4 Assess science-related content in popular discourse, daily
theteaching and learning of a physics course through the students' perception. The modifiedILD has the same three stages as the original ILD, with two main differences in whoperforms the experiment and when it is performed. Specifically, the three phases in themodified ILD are 1) predict, 2) experiment (by students working in groups, not theinstructor), and 3) reflect (in groups, not individually). The first phase, prediction, beginswith the analysis of a physical situation in which students have to predict the behavior ofthe situation based on the knowledge imparted in the session by the instructor. This occursat the end of the instructor's exposition. The second phase occurs in the laboratory sectionof the course and relates to students' experience
non-academic triggers.The study tends to find a threshold for impact based on efforts outside of the regular classroomactivities and other non-academic factors.INTRODUCTIONIn higher education, efforts and resources are been put into best practices of teaching andlearning in order to improve students’ learning outcome. Such efforts include different teachingand learning tools, approaches and modalities [1 - 11]. Students’ quality and instructor’steaching skills also play a role. However, studies have shown that students’ motivation [12 - 16],class attendance and absences [17 - 26]; not completing work [27], and employment duringschool [28 - 35] are inevitable factors that affect students learning outcome. Studies on studytime have been
method as opposed tothe ECP lab where each student took stock of what was happening as the bob moved back andforth and how to minimize and identify errors, this lowers the students' technical proficiency in thenon-ECP mode. Figure 2d shows the lecturer extensively writing on the board to explain theexperiment in depth. Along the way, it became apparent that the students were getting tired of thelengthy write-ups. As such, the instructor moved to walk them through the setup.Figure 1 (a-c): ECP mode experimental display and the laboratory manual for the non-ECP mode Figure 2 (a-d): non-ECP mode experimental setup and the simulationResults and Discussion The impact of ECP on student learning and key constructs related to students
Analytical Calculus I 4MA 113 Analytical Calculus II 4 MA 113 Analytical Calculus II 4MA 211 Analytical Calculus III 4 MA 211 Analytical Calculus III 4MA 212 Differential Equations 4 MA 212 Differential Equations 4MA 311 Probability and Statistics 3 MA 311 Probability and Statistics 3CH 101 General Chemistry I 3 CH 101 General Chemistry I 3CH 103 General Chemistry I Lab 1 CH 103 General Chemistry I Lab 1CH 102 General Chemistry II 3 Technical Elective
students to use Python code to complete initial analysis of data and to performcalculations related to the implementation of the activity. This paper will discuss several issuesassociated with the use of JN as the laboratory notebook. Student preparation prior to the classand their mastery at the end will be discussed along with the implementation of this approach.This is a work in progress.Introduction Students in the Engineering Physics program at the University of Central Arkansas arerequired to take an electronics course during their 2nd year. During the spring semester of 2022students were introduced to the use of Jupyter Notebooks (JN) as a tool for automating datacollection and analysis [1]. A JN is a web-based platform that allows
engineering curriculum inelectrical and computer engineering, mechanical engineering, and general engineering in order tolearn about emerging needs that the board observes in their areas of expertise. After consultationwith these stakeholders, we made the following list, given in Table 2, of learning objectives andoutcomes aligned with ABET criteria. These serve as a guide for those who wish to implement aPyTorch rich ML course in their undergraduate curriculum.Table 2. Course Learning Objectives. Learning Objective Specific Goals 1. Master Fundamental Define and explain key deep learning concepts, including neural Deep Learning Concepts networks, activation functions, loss functions, and optimization
with specific outreach goals. Ultimately, the varied learning, social, and logicalmodels being used to shape engineering and physics outreach which can aid in programtransferability are showcased along with how pedagogical theories can advance the goals ofengineering and physics outreach programs.Introduction Motivated by a desire to introduce new solvers into the world, there is a national push toincrease the number of students pursuing and obtaining science, technology, engineering, andmathematic degrees. University-driven outreach to preschool through 12th grade students is oneway to encourage this next generation. Outreach programs exist from single day events [1] toweek long summer camps, to more continuous STEM clubs [2]. Many
survey approaches were likely to underestimate the presence ofwriting, particularly for less formal genres such as lab or design notebooks, writing-to-learnactivities, and problem sets. We therefore focused our analysis on course materials from therequired courses and the writing-intensive courses in one physics department.2 Methods2.1 Undergraduate Curriculum and Data CollectionThe undergraduate physics curriculum at University of Illinois Urbana-Champaign is designedwith a core of required classes and two flexible clusters, Fig. 1, allowing different physics tracksto share the same general curriculum. Students are required to take an advanced compositioncourse, though this need not be in their field. In the year under analysis
learn their application on a light bulb and the DC motor built by students. 4. Obtain practical techniques for reducing noise while measuring motor output voltage. 5. Utilize an oscilloscope to visualize and analyze the input and output of rectifier circuits.Assessment methods involve prelab quizzes and post-lab reports to evaluate student learningoutcomes. The prelab quiz requires building a low-cost DC motor and improving its performancebefore the lab session. Each student built the DC motor, and in the lab, they verified the motor'sfunctionality. Next, they constructed half- and full-wave rectifier circuits that operated from a 9-14 volt AC voltage from an AC power generator source. Initial testing of the rectifier circuitinvolves
project is a stand-alone computer program that runs on Windows operatingsystems and fulfills the required project task. At the end of the semester, each team presentsits solution to the entire class and submits all required project documents (technical report,minutes of meetings and an instruction manual for the program).The project task, which is described in this paper, was the creation of a computer program thatsimulates and visualizes the dynamics of a flock of birds as realistically as possible. As a firststep, a swarm based on the Vicsek model should be generated. Particular attention should bepaid to the visualization of the individual particles, which were to be displayed as smallarrows. In addition, the user should be given the option to
Physics & Astronomy at Siena College. In addition to teaching physics and electronics courses for the department, she’s also served as the director of informal STEM programs at Siena. She’s developing MARVLS (Manipulable Augmented Reality Models to Learn Spatially) for general physics, plasma physics, chemistry, and engineering. MARVLS Apps are available on the App and Google Play Store. In 2022, she received an NSF grant to develop and study the impact of using MARVLS in the physics classroom. She started a small business called MARVLS, LLC. ©American Society for Engineering Education, 2024 Embodied Learning with Gesture Representation in an Immersive Technology
extra-class use 1 (2%)It can be observed that the greatest difficulty was in theoretical complexity, but this onlyaccounted for 10% of the respondents. In general, the students expressed the followingperceptions:"The semester project helps me in the practical understanding of physical phenomena.""Applying the learned concepts was fascinating.""The project development provided an efficient means to put theory into practice in anautonomous manner.""Reading papers and using them to define the experiment setup, collect data, and performaccurate analysis was a valuable experience.""The project proposal presented a new challenge to the group, enhancing our ability to readscientific documents.""Despite being time
: h.kumarakuru@northeastern.edu Hari has 18+ years of educational leadership experience amplifying academic and scientific endeavours in the higher education setting that has brought him to four separate continents. He capitalizes on his in-depth competencies in curriculum implementation, instructional delivery, scientific research, technical writing, and student mentoring to provide students with the tools for academic and professional success. Since 2007, he has had the privilege of mentoring numerous undergraduate and master’s students, a pursuit he is most passionate about. He has applied his established teaching skills to a wide range of undergraduate courses in general physics, engineering physics, electronics for
table 1: a) they had to answer if the spring on their table waslinear or not for the analyzed range, b) which elastic was the most resistant one and c) thecause of the different resistance forces in the tested elastic tubes.To compare the results, we considered only the answers from students who responded toboth the pre-class and post-class quizzes. Cases where students answered only one of thequizzes were disregarded. The analysis of the pre-class and post-class quizzes is divided intotwo parts: a general view of the grade marks and a question-by-question analysis. In the caseof the last three questions about comprehension of discussions and data interpretation, asimple statistic was performed.General viewFigure 5 shows the number of students
students, the challenge should be relevant and simulate an actual situationin the professional field they are pursuing; b) Through the solution, students develop the desiredlevel of competency mastery, and c) students should realize that to generate a solution, they needthe disciplinary knowledge provided in the course. Our educational model delivers this in whatwe call a learning block [1].In this contribution, we present the design of the Modeling the Movement courses as the contextof this study. We describe the methodology and report an overview of students' perception of thecourse in general, each of the modules, and the challenge. We discuss the results highlighting theaffordances of the course design and the areas for improvement.Context of
physictasks that were integrated each week. (See Table 1). Finally, in lab 5, the teams designed theirfinal flowcharts using concepts learned from the lab completed over the previous three weeksand wrote a technical report for the client. This report required the teams to reflect about their CTand ED process by analyzing the evolution of their flowchart throughout the five lab sessions. Table 1. Main tasks performed by the students throughout the first ED challenge. Lab # CT & ED Tasks Hands-on Physics Tasks 0 • Jupyter Notebook - a tutorial • None 1 • Presenting the ED problem: To develop • Uniform 1-D motion: Position update an
Physicslaboratory, there are three types of activities: a) Weekly laboratory experiments, b) AppliedPhysics Seminars and c) Problem learning projects. This work is focused on Applied PhysicsSeminars where students by using a simulator software "Speed Calculations for TrafficAccidents" – SCTA study the process of collision in a real situation, developing a role similarto the one performed by a forensic investigator where by means of the skid mark and type ofpavement he can estimate the initial vehicle speed. In the Physics laboratory, teams of studentsmust: 0) Read the original paper about "Speed Calculations for Traffic Accidents" and payattention for general teacher’s explanation during class laboratory, 1) Use Design Thinkingmethodology for project
Cell/Diesel Generator Energy System for Dubai Ferry," 2019 Advances in Science and Engineering Technology International Conferences (ASET), 2019, pp. 1-5, doi: 10.1109/ICASET.2019.8714292.[10] A. Dicks, "Hydrogen generation from natural gas for the fuel cell systems of tomorrow," Journal of Power Sciences, vol. 61, no. 1-2, pp. 113-124, Apr. 1996, doi: 10.1016/S0378- 7753(96)02347-6.[11] A. Salazar Llinas, E. Ortiz-Rivera, and J. Gonzalez-Llorente, "Dynamic Power Control of a PV-Fuel Cell Hybrid Energy System Used in DC Motors Applications," 2014 IEEE Green Technologies Conference. 49-53. 10.1109/GREENTECH.2014.19.[12] M. Perez, Ph. Rogers, J. Buchert, D. Sullivan, and T. Emami, "Design and Efficiency Analysis of a
. In addition, the interference caused by ambient wind should be kept as low aspossible [8].The aerodynamic drag force depends, in general, on many factors including the density andvelocity of the fluid (i.e., air in the case of a road vehicle) and the geometry of the body in theflow. The dimensionless Reynolds number of the fluid, which represents the ratio betweeninertial and viscous forces, plays a key role in determining the drag force. It is defined by ρ lvr R= , (1) µwhere ρ is the density of the fluid, μ its viscosity, l a characteristic length of the
Constructive 1. Almost never (<10% of the time) 2. Rarely (~30% of the Indicate the frequency with which you carried out the time) following activities during this course. Taking into account 3. Sometimes (~50% of that, on average, this course has 30 sessions during the the time) semester counting lectures and workshop. 4. Frequently (~70% of the time
ideal (lossless transmission line) [S] parametermatrix, given in [10,11] as design expressions of impedances shown in Figure 9 taken from [5].3.1 Distributed Model of WPD with ResultsFigure 10. ADS Model with MicrostripsFigure 11. Schematic of Optimized WPD in ADSFigure 12. ADS Simulated Frequency Response3.2 Branch Line CouplerAnalysis of generic Directional coupler or a basic 4 port Coupler [10-14] is presented below:.Figure 13. Portrait of 4 Port Coupler(a). Conventional Coupler (b) Branch Line CouplerFigure 13 depicts standard 4 port coupler while the general form of S- parameter matrix for a 4 port couplernetwork is given in [10] as 1
jobs they are likely to pursue directly aftertheir studies, (b) demonstrating the relevance of course content to their future careers, and (c)improving their professional networks by requiring them to connect with a professional. I thencaptured quantitative and qualitative data about students’ perception of the value of theassignment to these goals. Student responses to the four Likert scale (1 to 4) questions aredepicted in Table 1. The means of student responses show that students generally felt like theassignment was productive and addressed the sub-goals well.Table 1. Tables 2 to 5 provide the student responses in higher resolution, providing the number ofstudents who selected each Likert scale rating. These data again show that