Virtual Laboratory Based on Discovery Learning to Train an Analyzing-Interpreting Data: A Systematic Review

P, Trijayanti and Aznam, Nurfina and Haryuniati, Krisma (2021) Virtual Laboratory Based on Discovery Learning to Train an Analyzing-Interpreting Data: A Systematic Review. In: AECON 2020, 19-20 December 2020, Purwokerto, Indonesia.

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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: virtual laboratory discovery learning analyzing-interpreting data abilities
Subjects: H Social Sciences > H Social Sciences (General)
Depositing User: EAI Editor IV
Date Deposited: 12 Nov 2021 14:29
Last Modified: 12 Nov 2021 14:29
URI: https://eprints.eudl.eu/id/eprint/8286

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