Research trends of augmented reality in biology learning: A systematic literature review from 2020-2024

Dika Agustia Indrati; Feliksitas Angel Masing

doi:10.21009/biosferjpb.53911

Authors

Dika Agustia Indrati Biology Education, Faculty of Teacher Training and Education, Universitas PGRI Ronggolawe, Indonesia
Feliksitas Angel Masing Biology Education, Faculty of Teacher Training and Education, Universitas Timor, Indonesia

DOI:

https://doi.org/10.21009/biosferjpb.53911

Keywords:

Augmented Reality, Biology Learning, Research Trends

Abstract

This study is a systematic literature review (SLR). The purpose of this study is to determine research trends related to the use of augmented reality (AR) in biology learning from 2020 to 2024. The method used is the PRISMA method. The database used for article searches is Google Scholar. The keywords used in the article search are "augmented reality," "biology education," and "biology learning". From the search results, 300 articles were obtained. Then, these articles were selected according to the inclusion and exclusion criteria, resulting in 57 articles being reviewed. The reviewed article is an article that comes from both national and international journals. The findings reveal that the trend of research related to the use of augmented reality in biology learning has experienced a significant increase. The highest number of articles related to augmented reality were published in 2024. The trend of the most commonly used research methods is the quantitative method. Cells, viruses, the human skeletal system, and the human digestive system are the most commonly used topics in developing augmented reality for biology learning. Based on the dependent variables examined in this SLR study, the most investigated variables are students' cognitive learning outcomes, motivation, and critical thinking skills. In terms of data collection instruments, the most commonly used instrument is the test instrument. Through this SLR, we hope that future studies related to augmented reality will continue to develop considering the rapid advancement of technology. For researchers, they can develop AR research using qualitative or mixed methods to obtain more detailed information or develop other research methods such as CAR or DDR, as they are not yet widely encountered.

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