Journal of Physics Education and Science
Vol. 1 No. 1 (2023): December

Analisis Meta dengan Machine Learning: Tingkat Efektivitas Projectbased Learning untuk Meningkatkan Pemahaman Konsep Fisika

Sasikirana, Lituhayu (Unknown)
Fatin , Rahma Nabila (Unknown)
Setiaji , Bayu (Unknown)



Article Info

Publish Date
08 Dec 2023

Abstract

This article proposes a meta-analysis using a quantitative approach to evaluate the effectiveness of Project-Based Learning (PjBL) in enhancing the understanding of physics concepts. By summarizing findings from 19 studies conducted in various countries, grade levels, and educational levels, this article aims to provide a comprehensive insight into the extent to which PjBL can be an effective learning approach. The analysis results reveal a diversity of effect sizes, with some studies indicating a positive impact and others indicating challenges in implementing PjBL. Moderator analysis highlights significant differences between studies conducted in Asia and Non-Asia, as well as at specific grade levels. Despite varying results, overall, PjBL can be considered effective in improving the understanding of physics concepts. By exploring recommendations and implications from this analysis, this article contributes to the development of the PjBL approach in the context of physics education in the future.

Copyrights © 2023






Journal Info

Abbrev

physics

Publisher

Subject

Chemistry Education Physics Other

Description

The Journal of Physics Education and Science ISSN 3031-3465 is a scholarly publication committed to advancing the understanding and practice of physics education and research. Dedicated to fostering excellence in physics education, JPES provides a platform for educators, researchers, and ...