The Excellence of Guided Discovery Learning on Mathematical Knowledge-Based, Skill-Based, and Attitude

Abstract

Guided discovery learning is one of the constructivist-based learning models that can be used in mathematical learning. The syntax of guided discovery learning is giving stimulus, identifying a problem, collecting information, processing information, verifying, and drawing a conclusion. There have been many studies that have examined the guided discovery learning model and proved its superiority. This study is a meta-synthesis research that examines some relevant studies. The purpose of this study is to combine and compare the findings of research to formulate the excellences of guided discovery learning model. There are 16 research findings from some countries that were reviewed for this study. The results of this study show that the guided discovery learning model has the advantages in improving mathematical knowledge, mathematical skills, and mathematical attitude. Mathematical knowledge can be mathematics learning achievement, cognitive ability, conceptual understanding, and mathematical reasoning. The examples of mathematical skills that can be improved by implementing this learning model including critical and creative thinking skills. Other advantages of this learning model can be seen from the mathematical attitude, such as self-confidence, STEM attitude, interest in math, and the will to get the best result in mathematics. Several noteworthy limitations of this study were discussed.