The utilization of computer-assisted mathematics education integrated into project-based learning to optimize Indonesian students' mathematics achievement: A systematic review and meta-analysis
Dadang Juandi 1 * , Suparman Suparman 1 , Amelia Defrianti Putri 1 , Jarnawi Afghani Dahlan 1 , Dadan Dasari 1
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1 Department of Mathematics Education, Universitas Pendidikan Indonesia, INDONESIA* Corresponding Author

Abstract

In the last six years, computer-assisted mathematics education (CAME) in project-based learning (PBL) has been conducted in a relatively large part of the learning environment. However, using CAME in the PBL has an inconsistent effect on Indonesian students’ mathematics achievement. A meta-analytic review was used to estimate and examine the effectiveness of CAME integrated into PBL on students’ mathematics achievement across class capacity, educational level, mathematics content, and computer technology. 13 empirical studies published during 2019 – 2024, generating 17 units of effect size and involving 1,313 students were included to this review as the data. Some analyses were applied to analyze the data, including sensitivity, publication bias, Z test, and Q Cochrane test using Comprehensive Meta-Analysis (CMA) software. Results showed that utilizing CAME in the PBL environment had a significant positive, strong effect (g = 1.018; p < 0.01) on the mathematics achievement of Indonesian students. Additionally, several factors, such as educational level, mathematics content, and computer technology, significantly differentiated students’ mathematics achievement in the PBL environment but vice versa for class capacity. This meta-analytic review implies that using CAME integrated into PBL can be one of the effective interventions to optimize students’ mathematics achievement.

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Review Article

INT ELECT J MATH ED, Volume 20, Issue 4, November 2025, Article No: em0853

https://doi.org/10.29333/iejme/16899

Publication date: 01 Oct 2025

Online publication date: 10 Sep 2025

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Article Downloads: 7

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