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Application Of The Teams Games Tournament Cooperative Learning Model To Improve Learning Outcomes Of Fraction Theory Mathematics In Class 2 Elementary Schools

Authors: Tatu Maftuhah Royani; Rochmat Rochmat; Yosep Farhan;

Application Of The Teams Games Tournament Cooperative Learning Model To Improve Learning Outcomes Of Fraction Theory Mathematics In Class 2 Elementary Schools

Abstract

One of the fields of science studied from the elementary school level is mathematics. Fractions are mathematics learning material that begins to be studied at level/grade II. Fractions are one of the materials that are considered difficult for students. This can be seen from the student learning outcomes that are not in accordance with the criteria for achieving the learning objectives of fractions. Many students have difficulty solving problems related to fractions because they do not understand the concept of fractions. This study aims to determine the effective learning process through the application of the Teams Games Tournament type of cooperative learning model in improving the learning outcomes of fraction material in class II students of Islamic Elementary School Nurul Iman. Data collection was carried out using the individual test method and observation sheets. The results showed that by applying the Teams Games Tournament cooperative learning model to fractional material, students could improve their understanding of the concept of fractions. As much as 80% of students meet the criteria for achieving the learning objectives of fractional material. This shows that the application of the Teams Games Tournament type learning model is effective.

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citations
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
Average
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