Cover Image

Classical mechanics experiment using smartphone sensors to train science process skills

Science process skills are indispensable for science students at various levels of education. Science process skills can be trained through experimental activities. In the current pandemic era, experimental activities must allow science students to do it independently in their respective homes witho...

Full description

Saved in:
Bibliographic Details
Main Authors: Prasetyo Listiaji, Prasetyo Listiaji, Novi Ratna Dewi, Novi Ratna Dewi, Arka Yanitama, Arka Yanitama, Abdul Rahman, Nor Farahwahidah
Format: Conference or Workshop Item
Published: 2023
Subjects:
H Social Sciences (General)
Online Access:http://eprints.utm.my/108020/
http://dx.doi.org/10.1063/5.0125916
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.108020
record_format eprints
spelling my.utm.1080202024-10-16T07:49:44Z http://eprints.utm.my/108020/ Classical mechanics experiment using smartphone sensors to train science process skills Prasetyo Listiaji, Prasetyo Listiaji Novi Ratna Dewi, Novi Ratna Dewi Arka Yanitama, Arka Yanitama Abdul Rahman, Nor Farahwahidah H Social Sciences (General) Science process skills are indispensable for science students at various levels of education. Science process skills can be trained through experimental activities. In the current pandemic era, experimental activities must allow science students to do it independently in their respective homes without going to campus laboratories. Smartphone sensors have the potential to be used as tools in science experiments because they are easy and flexible to do anywhere. This research was focused on developing classical mechanics experiments using smartphone sensors to train science process skills. Development was carried out using the ADDIE model. The product was an experimental handbook intended for science students at universities. The experimental handbook was developed based on the science process skills approach. The results of expert validation on handbook obtained valid criteria. The product was implemented in the Fundamental Physics course in the Science Education Study Program. In the implementation stage, science process skills of science students obtained results 15.38 % low, 65.38 % medium, and 19.24 % high. Based on these results, classical mechanics experiments using smartphone sensors can train science process skills. Science students can acquire science process skills through experiments they do at home. So that classical mechanics experiments using smartphone sensors can be an offer to be applied in universities during the pandemic era. 2023 Conference or Workshop Item PeerReviewed Prasetyo Listiaji, Prasetyo Listiaji and Novi Ratna Dewi, Novi Ratna Dewi and Arka Yanitama, Arka Yanitama and Abdul Rahman, Nor Farahwahidah (2023) Classical mechanics experiment using smartphone sensors to train science process skills. In: 8th International Conference on Mathematics, Science and Education, ICMSE 2021, 5 October 2021-6 October 2021, Virtual, Online, Semarang, Indonesia. http://dx.doi.org/10.1063/5.0125916
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic H Social Sciences (General)
spellingShingle H Social Sciences (General)
Prasetyo Listiaji, Prasetyo Listiaji
Novi Ratna Dewi, Novi Ratna Dewi
Arka Yanitama, Arka Yanitama
Abdul Rahman, Nor Farahwahidah
Classical mechanics experiment using smartphone sensors to train science process skills
description Science process skills are indispensable for science students at various levels of education. Science process skills can be trained through experimental activities. In the current pandemic era, experimental activities must allow science students to do it independently in their respective homes without going to campus laboratories. Smartphone sensors have the potential to be used as tools in science experiments because they are easy and flexible to do anywhere. This research was focused on developing classical mechanics experiments using smartphone sensors to train science process skills. Development was carried out using the ADDIE model. The product was an experimental handbook intended for science students at universities. The experimental handbook was developed based on the science process skills approach. The results of expert validation on handbook obtained valid criteria. The product was implemented in the Fundamental Physics course in the Science Education Study Program. In the implementation stage, science process skills of science students obtained results 15.38 % low, 65.38 % medium, and 19.24 % high. Based on these results, classical mechanics experiments using smartphone sensors can train science process skills. Science students can acquire science process skills through experiments they do at home. So that classical mechanics experiments using smartphone sensors can be an offer to be applied in universities during the pandemic era.
format Conference or Workshop Item
author Prasetyo Listiaji, Prasetyo Listiaji
Novi Ratna Dewi, Novi Ratna Dewi
Arka Yanitama, Arka Yanitama
Abdul Rahman, Nor Farahwahidah
author_facet Prasetyo Listiaji, Prasetyo Listiaji
Novi Ratna Dewi, Novi Ratna Dewi
Arka Yanitama, Arka Yanitama
Abdul Rahman, Nor Farahwahidah
author_sort Prasetyo Listiaji, Prasetyo Listiaji
title Classical mechanics experiment using smartphone sensors to train science process skills
title_short Classical mechanics experiment using smartphone sensors to train science process skills
title_full Classical mechanics experiment using smartphone sensors to train science process skills
title_fullStr Classical mechanics experiment using smartphone sensors to train science process skills
title_full_unstemmed Classical mechanics experiment using smartphone sensors to train science process skills
title_sort classical mechanics experiment using smartphone sensors to train science process skills
publishDate 2023
url http://eprints.utm.my/108020/
http://dx.doi.org/10.1063/5.0125916
_version_ 1814043580442869760
score 13.211869

Similar Items