Augmented reality learning media based on tetrahedral chemical representation: How effective in learning process?
Sri Yamtinah 1 * , Elfi Susanti VH 1 , Sulistyo Saputro 1 , Sri Retno Dwi Ariani 1 , Ari Syahidul Shidiq 1 , Dwi Retno Sari 1 , Deiya Gama Ilyasa 1
More Detail
1 Department of Chemistry Education, Universitas Sebelas Maret, Surakarta, Central Java, INDONESIA* Corresponding Author

Abstract

The implementation of technology in the era of Society 5.0 runs massively in the world of education. One of them is in the form of augmented reality (AR) learning media. AR technology that can visualize abstract chemical topics in line with the concept of tetrahedral chemical representation. Therefore, this study aims to design and test the effectiveness of AR learning media based on tetrahedral chemical representation. This study used research and development methods with ADDIE (analysis, design, development, implementation, and evaluation) model. The topic of chemical equilibrium chemistry was chosen in this study to develop AR media. This research was conducted in three representative schools in Surakarta, Central Java, Indonesia. A total of 168 students from three representative schools (66 male and 102 female) participated as subjects in the Implementation stage. In addition, a multiple-choice instrument with 24 parallel questions on the pre- and post-test was used to determine the effect of the developed media on the experimental and control classes. The results showed that the design of AR learning media based on tetrahedral chemical representations was successfully developed and proved effective in improving learning outcomes. Student response sheets are given after using the media to find user experience regarding the strength and weaknesses of AR media.

License

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

EURASIA J Math Sci Tech Ed, 2023, Volume 19, Issue 8, Article No: em2313

https://doi.org/10.29333/ejmste/13436

Publication date: 01 Aug 2023

Online publication date: 23 Jun 2023

Article Views: 987

Article Downloads: 708

Open Access References How to cite this article