Systematic Literature Review: Research Trend Analysis on Problem-Based Learning and Computational Thinking in Mathematics Learning
DOI:
https://doi.org/10.30998/0wn51w29Keywords:
Systematic Literature Review, Problem Based Learning, Computational Thinking, MathematicsAbstract
The purpose of this study is to analyze trends and characteristics of related research. Problem-Based Learning (PBL) and computational thinking (CT) in mathematics learning. The background of this research is grounded in the importance of 21st century of higher-order thinking skills, contrasting with the currently limited research integrating PBL and CT. The method used in this research is a Systematic Literature Review (SLR) with reference to the PRISMA guidelines. Data were collected from Google Scholar, Publish or Perish, Garuda, and Sinta databases, appliying inclusion criteria for the 2022-2026 period, a total of 20 relevant articles were selected. The results of this study show that the trend of PBL and CT research is increasing, although the trend is not stable each year. Most of these studies employ a qualitative approach, focusing primarily on elementary and secondary education. In addition, the results show that PBL improves students' critical thinking and problem-solving skills, while CT helps build students' systematic thinking patterns. However, research that combines PBL and CT is not much. In addition to providing an overview of research trends, this study provides a basis for developing learning models that combine PBL and CT in mathematics learning. Therefore, this reseach is expected to yield a significant impact by mapping current research trends and identifying existing gaps. It serves as a practical framework for mathematics educators to design lessons that integrate PBL with CT and as a guideline for future researchers to explore uncharted research gaps.
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