The Atwood machine experiment assisted by smartphone acceleration sensor for enhancing classical mechanics experiments

Listiaji, Prasetyo; Darmawan, Melissa Salma; Dahnuss, Dodi

doi:10.1088/1742-6596/1918/2/022009

Cited by 6 publications

(7 citation statements)

References 16 publications

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“…This topic focuses on how physics learning or "course" can be delivered through real [125,[322][323][324][325][326] or virtual "laboratory" [327][328][329][330][331] in conducting the physics experiment (refers to "activity" and "practicum"). Several papers also have developed their own physical measurement "tool" and data acquisition using microcontrollers, trackers, or smartphones [124,[332][333][334][335][336][337] that could be employed to enhance students' experience within physics laboratories. Eventually, through this channel, PER studies also consider addressing their learning transformation to improve "understanding" of physics [338,339].…”

Section: Topic 8: Physics Laboratorymentioning

confidence: 99%

Thematic Analysis of Indonesian Physics Education Research Literature Using Machine Learning

Santoso

Istiyono

Haryanto

et al. 2022

Data

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Abundant physics education research (PER) literature has been disseminated through academic publications. Over the years, the growing body of literature challenges Indonesian PER scholars to understand how the research community has progressed and possible future work that should be encouraged. Nevertheless, the previous traditional method of thematic analysis possesses limitations when the amount of PER literature exponentially increases. In order to deal with this plethora of publications, one of the machine learning (ML) algorithms from natural language processing (NLP) studies was employed in this paper to automate a thematic analysis of Indonesian PER literature that still needs to be explored within the community. One of the well-known NLP algorithms, latent Dirichlet allocation (LDA), was used in this study to extract Indonesian PER topics and their evolution between 2014 and 2021. A total of 852 papers (~4 to 8 pages each) were collectively downloaded from five international conference proceedings organized, peer reviewed, and published by Indonesian PER researchers. Before their topics were modeled through the LDA algorithm, our data corpus was preprocessed through several common procedures of established NLP studies. The findings revealed that LDA had thematically quantified Indonesian PER topics and described their distinct development over a certain period. The identified topics from this study recommended that the Indonesian PER community establish robust development in eight distinct topics to the present. Here, we commenced with an initial interest focusing on research on physics laboratories and followed the research-based instruction in late 2015. For the past few years, the Indonesian PER scholars have mostly studied 21st century skills which have given way to a focus on developing relevant educational technologies and promoting the interdisciplinary aspects of physics education. We suggest an open room for Indonesian PER scholars to address the qualitative aspects of physics teaching and learning that is still scant within the literature.

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Section: Topic 8: Physics Laboratorymentioning

confidence: 99%

Thematic Analysis of Indonesian Physics Education Research Literature Using Machine Learning

Santoso

Istiyono

Haryanto

et al. 2022

Data

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“…Various methods have been employed to modernize the Atwood machine, including one approach by [10] that utilized the acceleration sensor on a smartphone. In this method, the smartphone was attached to one end of a string while a weight was attached to the other end.…”

Section: Introductionmentioning

confidence: 99%

“…Both [10] and [11] have made good innovations for improving the performance of Atwood machines in experiments, in terms of the experiment results and ICT utilization. However, these two innovations still need to be improved, particularly in terms of practicality.…”

Section: Introductionmentioning

confidence: 99%

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Atwood machine automation using Arduino and LabVIEW

Indratno,

Prasetya,

Prabowo

et al. 2024

Phys. Educ.

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The Atwood machine is an apparatus used in physics experiments to visualize the concept of Newton’s Second Law of Motion. However, the data collection on the Atwood machine, which is still done manually using a stopwatch, may cause errors and can be time-consuming. To improve the efficiency and accuracy of the experiment, this research developed Atwood machine automation using Arduino Uno microcontroller. The automation enables automatic release of weights and automatic data collection through a graphical user interface developed using LabVIEW. The experiment using the automated machine obtained satisfactory results in verifying the earth’s gravitational acceleration. Therefore, this machine can be used in physics learning, especially in physics experiment. The automation also enables remote utilization through internet connection, thus allowing easier and wider access for users.

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“…Smartphones provide many censor features such as light, acceleration, magnetometer, pressure, and gyroscope censors [3][4][5][6]. Most of the experiments developed are on the topic of mechanics [7][8][9][10]. Meanwhile, the optical experiments using smartphones have not been widely researched.…”

Section: Introductionmentioning

confidence: 99%

Simple fluorescence imaging to identify the purity of olive oil: an activity in an optics course

Listiaji¹

2021

Phys. Educ.

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The current pandemic era demands distance learning, including physics experiments on the topic of optics. One of the optical phenomena that needs to be explained in optic courses is fluorescence. This study offers a simple home experiment regarding the application of fluorescence, namely to identify the purity of olive oil using simple fluorescence imaging. This fluorescence imaging experiment used a 532 nm green laser as a beam source and a smartphone camera as an image capture detector. Olive oil samples were mixed with mineral oil to obtain various variations of olive oil purity. When the sample was induced with a laser, the laser beam path changed colour to orange due to fluorescence phenomena. This fluorescence effect was then captured in the form of images. Fluorescence intensity converted from the Grey value of the laser beam path image. The experimental results show a linear relationship between fluorescence intensity and olive oil purity with a determination coefficient R 2 = 0.98. This experiment can be an offer to explain the application of fluorescence with activities carried out independently by tertiary-level physics students in their respective homes. This fluorescent imaging procedure can also be related in terms of its application in olive oil quality control.

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The Atwood machine experiment assisted by smartphone acceleration sensor for enhancing classical mechanics experiments

Cited by 6 publications

References 16 publications

Thematic Analysis of Indonesian Physics Education Research Literature Using Machine Learning

Thematic Analysis of Indonesian Physics Education Research Literature Using Machine Learning

Atwood machine automation using Arduino and LabVIEW

Simple fluorescence imaging to identify the purity of olive oil: an activity in an optics course

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