
Learning Trajectory for Teaching Division using RME Approach at Elementary Schools
Author(s) -
Ahmad Fauzan,
Y. Yerizon,
Rendy Novri Yolanda
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1554/1/012079
Subject(s) - mathematics education , division (mathematics) , integer (computer science) , class (philosophy) , cobb , data collection , computer science , descriptive statistics , parametric statistics , mathematics , arithmetic , statistics , artificial intelligence , biology , genetics , programming language
The research aimed to develop learning trajectory (LT) to teach the topic of integer division based on Realistic Mathematics Education (RME) which is valid, practical and effective through research on the development of Gravemeijer & Cobb types. The trial subjects were the third-grade of elementary school students in Padang. The research was supported by data collection techniques in the form of document analysis, observation, interviews, questionnaires, and tests. Data analysis was performed using descriptive statistics and parametric statistics. The results showed that the LT developed to teach the topic of integer division using RME helped the teacher in learning. LT describes the characteristics of RME and facilitates students in a class. Besides, LT can help students to find integer division algorithms. Students are more confident in using their strategies for solving the contextual problems so that students’ mathematical problem-solving abilities also develop.