Cargando…
A meta-analysis of Geogebra software decade of assisted mathematics learning: what to learn and where to go?
Today, hundreds of studies on mathematics learning have been found in various literature, supported by the use of GeoGebra software. This meta-analysis aims to determine the overall effect of using GeoGebra software and the extent to which study characteristics moderate the study effect sizes to con...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8113830/ https://www.ncbi.nlm.nih.gov/pubmed/34013086 http://dx.doi.org/10.1016/j.heliyon.2021.e06953 |
_version_ | 1783690944843874304 |
---|---|
author | Juandi, Dadang Kusumah, Yaya S. Tamur, Maximus Perbowo, Krisna S. Wijaya, Tommy Tanu |
author_facet | Juandi, Dadang Kusumah, Yaya S. Tamur, Maximus Perbowo, Krisna S. Wijaya, Tommy Tanu |
author_sort | Juandi, Dadang |
collection | PubMed |
description | Today, hundreds of studies on mathematics learning have been found in various literature, supported by the use of GeoGebra software. This meta-analysis aims to determine the overall effect of using GeoGebra software and the extent to which study characteristics moderate the study effect sizes to consider the implications later. This study analyzed 36 effect sizes from 29 primary studies identified from ERIC documents, Sage Publishing, Google Scholar, and repositories from 2010 to 2020, and a total of 2111 students. In order to support calculation accuracy, a Comprehensive Meta-analysis (CMA) software was used. The effect size is determined using the Hedges equation, with an acceptable confidence level of 95%. It is known that the overall effect size of using GeoGebra software on the mathematical abilities of students is 0.96 based on the estimation of the random-effect model, and the standard error is 0.08. These findings indicate that, on average, students exposed to GeoGebra-based learning outperformed math abilities, which was initially equivalent to 82% of students in traditional classrooms. This study considers the five characteristics of the study. It showed that the GeoGebra software used was more effective in sample conditions less than or equal to 30. Providing classrooms with sufficient numbers of computers allowed students to use them individually, which was necessary to achieve a higher level of effectiveness. GeoGebra software is more effective when the treatment duration is set to less than or equal to four weeks. These findings help educators consider the characteristics of studies that moderate effect sizes using the GeoGebra software in the future. |
format | Online Article Text |
id | pubmed-8113830 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-81138302021-05-18 A meta-analysis of Geogebra software decade of assisted mathematics learning: what to learn and where to go? Juandi, Dadang Kusumah, Yaya S. Tamur, Maximus Perbowo, Krisna S. Wijaya, Tommy Tanu Heliyon Research Article Today, hundreds of studies on mathematics learning have been found in various literature, supported by the use of GeoGebra software. This meta-analysis aims to determine the overall effect of using GeoGebra software and the extent to which study characteristics moderate the study effect sizes to consider the implications later. This study analyzed 36 effect sizes from 29 primary studies identified from ERIC documents, Sage Publishing, Google Scholar, and repositories from 2010 to 2020, and a total of 2111 students. In order to support calculation accuracy, a Comprehensive Meta-analysis (CMA) software was used. The effect size is determined using the Hedges equation, with an acceptable confidence level of 95%. It is known that the overall effect size of using GeoGebra software on the mathematical abilities of students is 0.96 based on the estimation of the random-effect model, and the standard error is 0.08. These findings indicate that, on average, students exposed to GeoGebra-based learning outperformed math abilities, which was initially equivalent to 82% of students in traditional classrooms. This study considers the five characteristics of the study. It showed that the GeoGebra software used was more effective in sample conditions less than or equal to 30. Providing classrooms with sufficient numbers of computers allowed students to use them individually, which was necessary to achieve a higher level of effectiveness. GeoGebra software is more effective when the treatment duration is set to less than or equal to four weeks. These findings help educators consider the characteristics of studies that moderate effect sizes using the GeoGebra software in the future. Elsevier 2021-05-03 /pmc/articles/PMC8113830/ /pubmed/34013086 http://dx.doi.org/10.1016/j.heliyon.2021.e06953 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Juandi, Dadang Kusumah, Yaya S. Tamur, Maximus Perbowo, Krisna S. Wijaya, Tommy Tanu A meta-analysis of Geogebra software decade of assisted mathematics learning: what to learn and where to go? |
title | A meta-analysis of Geogebra software decade of assisted mathematics learning: what to learn and where to go? |
title_full | A meta-analysis of Geogebra software decade of assisted mathematics learning: what to learn and where to go? |
title_fullStr | A meta-analysis of Geogebra software decade of assisted mathematics learning: what to learn and where to go? |
title_full_unstemmed | A meta-analysis of Geogebra software decade of assisted mathematics learning: what to learn and where to go? |
title_short | A meta-analysis of Geogebra software decade of assisted mathematics learning: what to learn and where to go? |
title_sort | meta-analysis of geogebra software decade of assisted mathematics learning: what to learn and where to go? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8113830/ https://www.ncbi.nlm.nih.gov/pubmed/34013086 http://dx.doi.org/10.1016/j.heliyon.2021.e06953 |
work_keys_str_mv | AT juandidadang ametaanalysisofgeogebrasoftwaredecadeofassistedmathematicslearningwhattolearnandwheretogo AT kusumahyayas ametaanalysisofgeogebrasoftwaredecadeofassistedmathematicslearningwhattolearnandwheretogo AT tamurmaximus ametaanalysisofgeogebrasoftwaredecadeofassistedmathematicslearningwhattolearnandwheretogo AT perbowokrisnas ametaanalysisofgeogebrasoftwaredecadeofassistedmathematicslearningwhattolearnandwheretogo AT wijayatommytanu ametaanalysisofgeogebrasoftwaredecadeofassistedmathematicslearningwhattolearnandwheretogo AT juandidadang metaanalysisofgeogebrasoftwaredecadeofassistedmathematicslearningwhattolearnandwheretogo AT kusumahyayas metaanalysisofgeogebrasoftwaredecadeofassistedmathematicslearningwhattolearnandwheretogo AT tamurmaximus metaanalysisofgeogebrasoftwaredecadeofassistedmathematicslearningwhattolearnandwheretogo AT perbowokrisnas metaanalysisofgeogebrasoftwaredecadeofassistedmathematicslearningwhattolearnandwheretogo AT wijayatommytanu metaanalysisofgeogebrasoftwaredecadeofassistedmathematicslearningwhattolearnandwheretogo |