Research Article
Virtual Laboratory Based on Discovery Learning to Train an Analyzing-Interpreting Data: A Systematic Review
@INPROCEEDINGS{10.4108/eai.19-12-2020.2309155, author={Trijayanti P and Nurfina Aznam and Krisma Haryuniati}, title={Virtual Laboratory Based on Discovery Learning to Train an Analyzing-Interpreting Data: A Systematic Review}, proceedings={Proceedings of The 6th Asia-Pacific Education And Science Conference, AECon 2020, 19-20 December 2020, Purwokerto, Indonesia}, publisher={EAI}, proceedings_a={AECON}, year={2021}, month={8}, keywords={virtual laboratory discovery learning analyzing-interpreting data abilities}, doi={10.4108/eai.19-12-2020.2309155} }
- Trijayanti P
Nurfina Aznam
Krisma Haryuniati
Year: 2021
Virtual Laboratory Based on Discovery Learning to Train an Analyzing-Interpreting Data: A Systematic Review
AECON
EAI
DOI: 10.4108/eai.19-12-2020.2309155
Abstract
Virtual laboratories based on discovery learning are an alternative source to support the distance learning process during the current pandemic. The study aims to provide an overview of how virtual laboratories based on discovery learning can be applied to the ability to analyze and interpret student data. The method used is a systematic review. The articles used are from Google Scholar and ERIC, then the search findings are directed to national and international journals published in 2010-2020. The number of articles used was 26 articles based on relevant research sources. The results of the analysis show that a virtual laboratory based on discovery learning can improve students' data analyzing-interpreting abilities through practicum simulations with scientific methods. Experimental simulations are carried out independently so that learning is more than meaningful. Students display data as proof to support their conclusion.