Understanding of Science Concepts Through SETS Guided Discovery Approach Using Two-Tier Test Toward 4th Elementary School

DOI

10.2991/assehr.k.200620.067How to use a DOI?

Keywords

adjacent sets, concept understanding, guided discovery, two-tier tests

Abstract

This study aims to determine and analyze students’ understanding of concepts using the SETS Guided Discovery model by using the Two-Tier Test. This study uses an experimental research design. Samples were taken by purposive sampling technique, obtained Payak Elementary School as an experimental class and Eggplant Elementary School as a control class. Research data obtained from tests and observations. Data analysis used t-test analysis with PASW Statistics 18 software. The results showed an increase in students’ understanding of concepts after the guided discovery of learning conducted by SETS approach on theme 3 sub themes 1 with the t test sig <0.05. Analysis using a two-tier test resulted in a level of understanding of students’ concepts, namely understanding of the concept 66.67%, misunderstanding of type 1 concepts 12.22%, misunderstanding of type 2 concepts 8.51%, and not understanding the concept of 12.60%. Students who understand the concept have six indicators of good understanding, namely interpreting (interpreting), giving examples (exemplifying), classifying (classifying), attracting inference (inferring), comparing (comparing) and explaining (explaning). The lowest indicator of concept understanding is interpreting and the highest competitor is explaining.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Riza Permadi
AU  - Sudarmin
AU  - Mulyono
PY  - 2020
DA  - 2020/06/23
TI  - Understanding of Science Concepts Through SETS Guided Discovery Approach Using Two-Tier Test Toward 4th Elementary School
BT  - Proceedings of the International Conference on Science and Education and Technology (ISET 2019)
PB  - Atlantis Press
SP  - 345
EP  - 349
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200620.067
DO  - 10.2991/assehr.k.200620.067
ID  - Permadi2020
ER  -