Proceedings of the 1st Nusa Tenggara International Conference on Chemistry (NITRIC 2022)

Development of Augmented Reality-Based Online Learning Media to Improve Students’ Mental Models on the Topic of Environmental Pollution

Authors
Wildan1, Saprizal Hadisaputra1, Lalu Rudyat Telly Savalas1, Baiq Dwi Laksmiwati1, Supriadi1, *
1Department of Chemistry Education, Faculty of Teacher Training and Education, University of Mataram, Mataram, Indonesia
*Corresponding author. Email: supriadi_fkip@unram.ac.id
Corresponding Author
Supriadi
Available Online 14 April 2023.
DOI
10.2991/978-94-6463-130-2_20How to use a DOI?
Keywords
Augmented Reality; Mental model; Environmental pollution
Abstract

The purpose of this study was to develop online learning based on augmented reality (AR) technology related to environmental pollution and its effect on the mental model of students of the Chemistry Education Study Program, FKIP University of Mataram. The results of this study are expected as a first step to produce graduates who have a complete mental model, so that they are able to analyze the problem of environmental pollution in everyday life in detail. This research develops augmented reality-based online learning media using 4D design (Define, Design, Develop, Disseminate). The media that has been developed is tested for validation by four validators. In addition, an effectiveness test was also conducted through a field test. The effectiveness test was carried out using a quasi-experimental method with a pre-test and post-test one group design. Collecting data with a mental model description test that includes three levels of representation in chemistry, namely macroscopic, submicroscopic, and symbolic. Mental model tests were carried out before and after using AR media. Mental model data are analyzed using t-test. In addition, the data collection method also uses questionnaire to measure practicality of the product. The product is valid, practical, and effective with a validity score of 0.81, a practicality score of 84.39%. The product can develop students’ mental models from initial type to scientific category. Based on the t test, AR media can significantly improve students’ mental models with a significance value of 0.03.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 1st Nusa Tenggara International Conference on Chemistry (NITRIC 2022)
Series
Atlantis Highlights in Chemistry and Pharmaceutical Sciences
Publication Date
14 April 2023
ISBN
10.2991/978-94-6463-130-2_20
ISSN
2590-3195
DOI
10.2991/978-94-6463-130-2_20How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Wildan
AU  - Saprizal Hadisaputra
AU  - Lalu Rudyat Telly Savalas
AU  - Baiq Dwi Laksmiwati
AU  - Supriadi
PY  - 2023
DA  - 2023/04/14
TI  - Development of Augmented Reality-Based Online Learning Media to Improve Students’ Mental Models on the Topic of Environmental Pollution
BT  - Proceedings of the 1st Nusa Tenggara International Conference on Chemistry (NITRIC 2022)
PB  - Atlantis Press
SP  - 194
EP  - 204
SN  - 2590-3195
UR  - https://doi.org/10.2991/978-94-6463-130-2_20
DO  - 10.2991/978-94-6463-130-2_20
ID  - 2023
ER  -