MSCEIS 2019
Submission Management System
Main Site
Submission Guide
Register
Login
Participant List
Abstract List
Paper List
Access Mode
Contact
:: Abstract ::

<< back

Design an Algebra Learning Sequence Based on Realistic Mathematics Education Theory: The Case of Linear Equation in One Variable using Balance-Scales Model
Ririn Sispiyati, Al Jupri, Dian Usdiyana

Departemen Pendidikan Matematika, FPMIPA, Universitas Pendidikan Indonesia


Abstract

The use of the balance-scale model for the learning of equation topic has often been used. However, based on limited observations, the use of the model has not been systematic and less based on learning theory. This study aims to design teaching materials about linear equations in one variable with a model of balance-scales based on realistic mathematics theories intended for junior high school students. For this purpose, we used design research, particularly the preliminary design phase. First, we compiled the material based on curriculum and mathematics textbooks. This practical view was used as consideration in designing a learning sequence. Second, the practical learning sequence was revised based on the theory of realistic mathematics education. This theory was used because it gives meaningful mathematics learning to the students. Third, we organized a focus group discussion to review and improve the design intend to produce a learning sequence that can further be used for the teacher for the teaching experiment. The results included learning sequence in the form of learning materials on the topic of linear equations in one variable with a balance-scale model. We conclude that the designed learning sequence for this topic provides more meaningful than conventional learning for the students.

Keywords: Realistic Mathematics Education, Balance-Scales Model, linear equation in one variable

Topic: Mathematics Education

Plain Format | Corresponding Author (Ririn Sispiyati)

PermaLink

MSCEIS 2019 - Submission Management System

Powered By Konfrenzi 1.832K-Build2 © 2025 All Rights Reserved