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Mathematical Representation Ability of Middle School Students through Model Eliciting Activities with STAD Type
Author(s) -
Zairisma Zairisma,
Vina Apriliani,
Johan Yunus
Publication year - 2020
Publication title -
desimal jurnal matematika
Language(s) - English
Resource type - Journals
eISSN - 2613-9081
pISSN - 2613-9073
DOI - 10.24042/djm.v3i2.5751
Subject(s) - representation (politics) , class (philosophy) , mathematics education , simple random sample , test (biology) , population , type (biology) , sampling (signal processing) , computer science , mathematics , artificial intelligence , ecology , demography , filter (signal processing) , sociology , politics , political science , law , computer vision , biology , paleontology
The ability of mathematical representation is one of the abilities that must be possessed by students in learning mathematics. In fact, students 'mathematical representation ability is still relatively low, so we need a learning model that can improve students' mathematical representation abilities, namely Model Eliciting Activities (MEA) with STAD type. The purpose of this study is to compare the mathematical representation ability of students taught using MEA with STAD type and those taught with conventional learning. The approach to be used is a quantitative approach with a quasi-experimental research method and using a control group pretest-posttest design. The population in this study were all VII grade students. Sampling was done using simple random sampling, which consisted of two classes, class VII 1 as the experimental class and class VII 2 as the control class. Data collection is used by using a mathematical representation ability test sheet. The data analysis technique used is independent t-test. Based on these analysis it can be concluded that the mathematical representation ability of students taught using MEA with STAD type is better than conventional learning.

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