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IndoMath
Article . 2019 . Peer-reviewed
License: CC BY NC SA
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IndoMath
Article
License: CC BY NC SA
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IndoMath
Article . 2019
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Pengaruh Model Pembelajaran Generatif Terhadap Kemampuan Koneksi Matematis Siswa Kejuruan

Authors: Yohanes Gunawan; Alberta Parinters Makur; Emilianus Jehadus;

Pengaruh Model Pembelajaran Generatif Terhadap Kemampuan Koneksi Matematis Siswa Kejuruan

Abstract

This study aimed to compare the mathematical connection ability of students who took mathematics learning with generative learning models and direct learning models. This quasi-experimental study used the posttest-only control group design. The population in the study was 212 people in class X TKJ SMK Informatics Santu Petrus Ruteng spread across six classes, and two classes were chosen as research samples using simple random sampling. The results of the calculation of the normality and homogeneity test as the prerequisite for the t-test showed that the data from the two groups are normally distributed with homogeneous variance. Then the hypothesis test is done using t-test to see the mathematical connection ability. Based on the analysis of the data obtained that the mathematical connection ability of students who use generative learning models is higher than those using direct learning models.

Keywords

QA1-939, generative learning model, mathematical connection ability, Mathematics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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