Meta-Analysis: Effectiveness of ICT-Based Learning Learning Model on Students' Mathematical Ability
DOI:
https://doi.org/10.61193/jmset.v1i1.68Keywords:
meta-analysis, ICT, mathematical abilityAbstract
The purpose of this study is to determine the effectiveness of the ICT learning model on students' mathematical potential. The type of research used is meta-analysis. The Publish or Perish (PoP) database and Google Scholar are reviewed to achieve appropriate research within the scope of the research. By inputting keywords that have existed in this database, approximately 200 articles have been found that have been published around 2014 to 2023 and have been researched for research goals. Based on the inclusion conditions, 22 articles have met the suitability requirements for research. The software used as an analysis tool is the Comprehensive Meta-Analysis (CMA) version 3.7, and the effect size index of the Hedges-g Coefficient equation is obtained from the determination through the estimation of the random-effect design. The results of the study found that the overall effect measure of ICT use on students' mathematical ability was 0.498, with a confidence level of 95%. These findings indicate that the use of ICT in Indonesia or abroad is still quite effective because it has a positive impact on students' mathematical skills. Thus, the application of ICT has a greater effect on mathematical abilities than conventional approaches.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Skalosia: International Journal on Mathematics Education

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Journal on Math and Science Educational Technology (e-ISSN 3124-6834) is licensed under a Creative Commons Attribution 4.0 International License.
CC BY-SA 4.0
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
