Displaying all 15 results
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- Engineering Physics and Physics Division (EP2D) Technical Session 1
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- 2025 ASEE Annual Conference & Exposition
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- CARLOS PINEIDA, Universidad Andres Bello, Chile.; Angeles Dominguez, Tecnologico de Monterrey, Monterrey, Mexico (ITESM); Universidad Andres Bello, Santiago, Chile (UNAB); Genaro Zavala, Tecnologico de Monterrey, Monterrey, Mexico; Universidad Andres Bello, Santiago, Chile
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inclusion of 3D printing and advanced data analysissoftware in physics labs to enrich educational outcomes.Keywords: Physics Education Research, Educational Innovation, STEM Education, Kinematics,Experimental Physics, 3D Printing Technology, Tracker SoftwareINTRODUCTIONPhysics education research has increasingly highlighted the need for improvements in laboratoryinstruction, particularly in fostering conceptual understanding and experimental design skills [1]and [2]. Holmes and Wieman argue that traditional introductory physics labs often fail toreinforce conceptual learning effectively [3]. Additionally, model-based reasoning has beenidentified as a crucial component in experimental physics learning [4]. This study contributes tothis ongoing
- Conference Session
- Engineering Physics and Physics Division (EP2D) Technical Session 1
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- 2025 ASEE Annual Conference & Exposition
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- Carlo Bato Galicia, Cebu Institute of Technology – University; Justine Carbonilla Mercado
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skills and competencies are highly indemand, and these skills and competencies are mostly found and taught in the science educationdiscipline. And one of these disciplines is physics education, which deals with the fundamentalsof the interaction of energy and matter, as well as engineering and technology. The teaching andlearning mechanisms in physics for engineering students involve innovative approaches aimed atenhancing conceptual understanding and promoting deep learning. Research emphasizes the shiftfrom traditional teaching methods to more interactive and inquiry-based strategies to engagestudents effectively [1]. Interactive simulations play a crucial role in teaching physics, particularlyelectrostatics, as they significantly improve
- Conference Session
- Engineering Physics and Physics Division (EP2D) Technical Session 1
- Collection
- 2025 ASEE Annual Conference & Exposition
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- Rodrigo Cutri, Maua Institute of Techonology; Octavio Mattasoglio Neto, Instituto Mauá de Tecnologia; Nair Stem, IMT
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a weather conditions experiment, a decision tree could be usedto predict whether certain weather conditions indicate the feasibility of outdoor activitiesor not.Figure 1: Example of weather conditions´ decision tree to decide whether stay home ornotSource: Chat GptLinear Regression: This technique is essential for predicting continuous values fromindependent variables. In Physics experiments, such as studying the relationship betweenspeed and time, linear regression can be used to fit a function to experimental data andpredict future behaviors, such as the speed of an object at a specific moment.Figure 2: Velocity of Honda WR-V car as function of timeSource: the authorsClustering: Clustering groups similar data together, facilitating the
- Conference Session
- Engineering Physics and Physics Division (EP2D) Technical Session 1
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- 2025 ASEE Annual Conference & Exposition
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- Jiwon Kim, Purdue University at West Lafayette (COE); Alfa Satya Putra, Purdue University at West Lafayette (COE); Muhsin Menekse, Purdue University at West Lafayette (PWL) (COE); Eesha tur razia babar, University of California, Irvine; Ahmed Ashraf Butt, University of Oklahoma; Saira Anwar, Texas A&M University
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. Menekse received four Seed-for-Success Awards (in 2017, 2018, 2019, and 2021) from Purdue University’s Excellence in Research Awards programs in recognition of obtaining four external grants of $1 million or more during each year. His research has been generously funded by grants from the Institute of Education Sciences (IES), the U.S. Department of Defense (DoD), Purdue Research Foundation (PRF), and the National Science Foundation (NSF).Eesha tur razia babar, University of California, Irvine Eesha Tur Razia Babar holds a master’s degree in Electrical and Computer Engineering from the University of California, Irvine. She completed her undergraduate studies in Electrical Engineering at the University of
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- Engineering Physics and Physics Division (EP2D) Technical Session 1
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- 2025 ASEE Annual Conference & Exposition
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- Cherish Bauer-Reich, University of Jamestown; Jakob DeLong, University of Jamestown; Wesley Newton, University of Jamestown
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the change betweenpre- and post-test scores, although this may be a result of the low number of questions in thatcategory. All three categories contributed to post-test measurements on the CSEM andaccounted for some of the change seen in all three types of post-test measurements.Introduction One of the most commonly used assessment tools is the Force Concept Inventory (FCI).[1] Since its introduction in 1992, it has been used as a learning assessment tool for physicsclasses worldwide, while its use has been heavily studied. During this time, researchers haveevaluated the tool to understand whether there are some questions on the test that may be biaseddue to gender or present hurdles to those for whom English is not their primary
- Conference Session
- Engineering Physics and Physics Division (EP2D) Technical Session 2
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- 2025 ASEE Annual Conference & Exposition
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- Rodrigo Cutri, Maua Institute of Techonology; Octavio Mattasoglio Neto, Instituto Mauá de Tecnologia; Nair Stem, IMT
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theeffectiveness of immersive (panoramic) videos with hotspots as pre-class materials withinthe flipped classroom approach. This paper presents the implementation of thistechnology in a classic physics experiment on oblique launches, conducted withapproximately 400 first-year engineering students at XXXXXX. These students weredivided into laboratory classes, working in teams of 3 to 4.The paper tests the hypothesis that an immersive video—explaining in detail theexperimental apparatus, the concepts involved, and the experimental procedure throughhotspots—before the class, would promote greater autonomy in modeling and executingthe experiment. The proposal aimed at analyzing: 1. The increase in student engagement with the flipped classroom methodology
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- Engineering Physics and Physics Division (EP2D) Technical Session 2
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- 2025 ASEE Annual Conference & Exposition
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- Joseph Pierre Anderson, Carthage College
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. Overall, the students’ increasedidentification as scientists raised the stakes of instruction in experimental methods, laboratoryand publishing ethics, and technical writing. This increase in identification as a professionalscientist or engineer helps the students to gain authentic practice in these skills in a controlledenvironment and build their confidence for when these skills are needed in their future careers.The publicly available end product of the course, now published online as Physics in Progressissue 1, served as a motivating factor and now serves as a time capsule containing writingartifacts that students take pride in and can share in portfolios or as otherwise appropriate.IntroductionAt what point does one cease to be an
- Conference Session
- Engineering Physics and Physics Division (EP2D) Poster Session
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- 2025 ASEE Annual Conference & Exposition
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- Pavel Navitski, Oral Roberts University; Elena Gregg Dr, Oral Roberts University; Wesley David Klehm, Oral Roberts University; Gabriel Pendell, Oral Roberts University
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,ranging from hydrogen (1 proton) to iron (26 protons and 28 neutrons). These findings havesince established cosmic particles as a subject of significant scientific interest. Today, it isestimated that approximately 13% of the ionizing radiation affecting Earth’s biosphere originatesfrom extra-solar cosmic rays.Among these particles are muons—charged particles with a mass approximately 200 timesgreater than that of electrons. Muons decay via the weak interaction μ±→e(±) ν ῡ with anaverage lifetime of 2.2 microseconds, making them longer-lived than many subatomic particles.These muons are primarily generated in the upper atmosphere through collisions between cosmicrays and atmospheric molecules, which produce pi mesons (pions) that subsequently
- Conference Session
- Engineering Physics and Physics Division (EP2D) Technical Session 3
- Collection
- 2025 ASEE Annual Conference & Exposition
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- Bala Maheswaran, Northeastern University; Meghna Sridhar, Northeastern University; Alexander Sebastian Aschinberg, Northeastern University; Reid Beland, Northeastern University; Siddharth Athota, Northeastern University
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discusspotential improvements for future iterations and highlight the educational benefits of theengineering process and iterative testing.IntroductionProsthetic technology, which dates to around 950 BC, has long played a crucial role in improvingthe lives of individuals with physical disabilities, including those with missing limbs. Over thecenturies, prosthetics have evolved from basic designs to highly sophisticated systems that enhancemobility and functionality. Recent developments have led to the creation of fully functionalprosthetic robotic arms that closely mimic natural limb movements, significantly enhancing userautonomy [1]. Additionally, the incorporation of multimodal embedded sensor systems hasimproved the dexterity and responsiveness of
- Conference Session
- Engineering Physics and Physics Division (EP2D) Technical Session 3
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- 2025 ASEE Annual Conference & Exposition
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- Tooran Emami Ph. D., United States Coast Guard Academy
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- Engineering Physics and Physics Division (EP2D)
understanding of three-phase power systems.Numerous outstanding textbooks are available that delve into the fundamentals of electricalengineering circuits, electrical power systems, and electrical machinery [1], [2], [3], [4], [5], and[6]. These resources provide a comprehensive understanding of essential theoretical concepts.Furthermore, many universities globally have embraced laboratory-based software to enrich theeducational experience in electrical machines and three-phase systems, fostering a more hands-on approach to learning. Sarkar et al. introduced a teaching model as a learning model, guidinglearners to acquire knowledge, skills, and attitudes effectively [7]. This paper aims to design asuccessful instructional model with three phases: pre
- Conference Session
- Engineering Physics and Physics Division (EP2D) Technical Session 2
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Andi Pina, Rochester Institute of Technology; Shams El-Adawy, University of Colorado Boulder; Michael James Verostek Jr, Rochester Institute of Technology; Heather Lewandowski, University of Colorado Boulder; Benjamin M Zwickl, Rochester Institute of Technology
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stakeholders in QISE education for amore diverse QISE workforce. We suggest strategies based on the findings of this study such asintegrating QISE into existing engineering courses, investing in the development of QISE coursesand programs at non-PhD-granting institutions, and making courses with QISE content accessibleto students from a variety of majors.IntroductionIn recent years, quantum technology has emerged as a federal priority driving investment inQuantum Information Science and Engineering (QISE) research and education. The NationalQuantum Initiative (NQI) Act was one of the first pieces of legislation in the US to establish thepriority [1]. Although it emphasized primarily the need for financial investment in research, theNQI act also calls
- Conference Session
- Engineering Physics and Physics Division (EP2D) Technical Session 2
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Rodrigo Alonso Vergara, Universidad Andres Bello; Genaro Zavala, Tecnologico de Monterrey, Monterrey, Mexico; Universidad Andres Bello, Santiago, Chile
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disciplines, highlighting the foundational role of physics in shaping theseperceptions and skills [1]. Furthermore, the relationship between physics and mathematics isemphasized in educational frameworks that aim to enhance student's understanding of bothsubjects, facilitating a more cohesive learning experience [2] [3]. This interconnectedness isessential for engineering students, as they often encounter complex problems requiring a solidgrasp of physics and mathematical principles.However, several studies have pointed out that students often perceive these subjects aschallenging, affecting their motivation and performance. Research indicates that students usuallyview physics as one of the more difficult subjects within the STEM (Science, Technology
- Conference Session
- Engineering Physics and Physics Division (EP2D) Poster Session
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- 2025 ASEE Annual Conference & Exposition
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- Daniela Topasna, Virginia Military Institute
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NILdesktop equipment; selection of a template; making the sample; characterization of samples byoptical microscopy and scanning electron microscopy; lab report; literature search exercise;classroom presentation. In addition, students learn about career opportunities related tonanoimprint lithography and semiconductor industry. The course activities are well aligned withthe ABET general criteria for engineering that include requirements for both basic science andbroad education components, instruction on modern equipment, and development of leadership,and written and oral communication skills.IntroductionThe CHIPS and Science Act of 2022 [1] has provided funding specific for the development andin support of domestic semiconductor and
- Conference Session
- Engineering Physics and Physics Division (EP2D) Technical Session 2
- Collection
- 2025 ASEE Annual Conference & Exposition
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- Taiwo Raphael Feyijimi, University of Georgia; Landon Todd Smith, University of Georgia
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self-efficacy and attitudes toward physics) in the developmentof spatial reasoning skills among secondary school students. The research addressed three corequestions: (1) How do educational environments, indicated by school types, influence spatialreasoning development? (2) What is the predictive power of physics performance on spatialreasoning abilities? (3) How do students’ self-efficacy and attitudes toward physics, influenced bypersonal and teacher factors, impact their spatial reasoning performance?This study employed a quantitative approach using penalized regression models (Lasso and Ridgeregression) to identify key predictors of spatial reasoning performance. The sample consisted of251 senior secondary school physics students from
- Conference Session
- Engineering Physics and Physics Division (EP2D) Technical Session 3
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- 2025 ASEE Annual Conference & Exposition
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- Octavio Mattasoglio Neto, Instituto Mauá de Tecnologia; Thiago de Assis Augusto, Maua Institute of Technology; Fabio Sadao Sato
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article as supporting text. The combination of hands-on practice andsubsequent research equips students with enough information to discuss the phenomenon.Learning outcomes are assessed through a group presentation about the phenomenon to classmatesand instructors. This project-based learning (PBL) methodology was previously discussed byCutri, Eiras and Mattasoglio Neto [1]. In summary, the authors reported that the laboratorypractices enhance student's understanding of theory in addition to reading and interpreting ascientific article and reproducing an experiment reported in that scientific article. During projects,students act more independently and develop skills to experiment and research, to collect, interpretand use data, and, consequently