Open Access
Meta-Analysis of Inquiry Learning Models in Physics Learning
Author(s) -
Sharvina Yudatika,
Mukhayyarotin Niswati Rodliyatul Jauhariyah
Publication year - 2021
Publication title -
jurnal ilmiah pendidikan fisika
Language(s) - English
Resource type - Journals
eISSN - 2549-9963
pISSN - 2549-9955
DOI - 10.20527/jipf.v5i3.3993
Subject(s) - mathematics education , data collection , physics education , value (mathematics) , computer science , data science , psychology , mathematics , machine learning , statistics
This study aims to analyze the effect of inquiry in physics learning which can be viewed in terms of education, results, materials, and research on the learning media used. The method used is Meta-Analysis with the research flow, namely determining the research topic, setting data criteria, searching for data, classifying data, analyzing and drawing conclusions. Data collection techniques using secondary data from 23 relevant articles from previous scientific publications. The data analysis technique uses effect size. The results of this meta-analysis conclude that the application of the inquiry learning model has a significant effect on physics learning, with an effect size value of 1.216. The application of inquiry in physics learning has a considerable impact if applied to the elementary school education level by producing outputs that increase understanding of concepts, use light subjects, and help learning media in worksheets.