Smartphone Sensor-Based Physics Module for Hands-On Learning in Waves and Optics

The limited laboratory equipment in many schools hinders students in conducting physics experiments, so that learning is more theoretical and less supportive of practice-based understanding. This study aims to develop a smartphone sensor-based physics experiment module on wave and optical materials that is valid, practical, and effective, and allows students to conduct experiments flexibly and independently. This research uses the Research and Development (R & D) method with the Borg & Gall model. Validation by media and material experts showed that this module has met the eligibility standards, with a score of 3.67 (73.4%) for media aspects and 3.56 (71.2%) for material aspects. The practicality test showed that this module can be used well in experimental learning, with a score of 3.48 (69.6%) in the “Good” category. Evaluation of effectiveness through comparison of pre-test and post-test showed an increase in learning outcomes with an N-gain of 0.55 (medium category). These results indicate that the integration of smartphone sensors in physics experiments can be an alternative solution for schools with limited laboratory facilities. This module offers a more flexible, accessible and technology-based learning approach. Future research can develop similar modules for other physics materials and evaluate their effectiveness in various learning scenarios.

Authors

Institutions

Publication Details

Journal
Jurnal Penelitian Pendidikan IPA
Published
2025-03-25
DOI
https://doi.org/10.29303/jppipa.v11i3.10240
Primary Topic
Mobile Learning in Education
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smartphone Sensor-Based Physics Module for Hands-On Learning in Waves and Optics

Febrian Andi Hidayat, Endra Putra Raharja, Edi Sutomo, Asih Kasan et al.
Jurnal Penelitian Pendidikan IPA
Mobile Learning in Education
article

Smartphone Sensor-Based Physics Module for Hands-On Learning in Waves and Optics

Febrian Andi Hidayat, Endra Putra Raharja, Edi Sutomo, Asih Kasan, Nia Mangkasa
article en

Abstract

The limited laboratory equipment in many schools hinders students in conducting physics experiments, so that learning is more theoretical and less supportive of practice-based understanding. This study aims to develop a smartphone sensor-based physics experiment module on wave and optical materials that is valid, practical, and effective, and allows students to conduct experiments flexibly and independently. This research uses the Research and Development (R & D) method with the Borg & Gall model. Validation by media and material experts showed that this module has met the eligibility standards, with a score of 3.67 (73.4%) for media aspects and 3.56 (71.2%) for material aspects. The practicality test showed that this module can be used well in experimental learning, with a score of 3.48 (69.6%) in the “Good” category. Evaluation of effectiveness through comparison of pre-test and post-test showed an increase in learning outcomes with an N-gain of 0.55 (medium category). These results indicate that the integration of smartphone sensors in physics experiments can be an alternative solution for schools with limited laboratory facilities. This module offers a more flexible, accessible and technology-based learning approach. Future research can develop similar modules for other physics materials and evaluate their effectiveness in various learning scenarios.

Jurnal Penelitian Pendidikan IPAVol. 11(3)
Universitas Muhamadiyah Sorong (ID)
Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi
Openalex Percentile: Top 90%
Mobile Learning in Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.