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Development of science learning devices contexstual problem based learning (CPBL) based in improving problem solving skills for 4th grade elementary school

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Published under licence by IOP Publishing Ltd
, , Citation A Agustoni et al 2021 J. Phys.: Conf. Ser. 1839 012029 DOI 10.1088/1742-6596/1839/1/012029

1742-6596/1839/1/012029

Abstract

Problem solving skill are very much needed in the life of the 21st century. However, it is indicated that problem solving skills with the learning model so far have not significantly improved. This study aims to improve problem-solving skills for grade 4 elementary school by using natural science learning tools based on contextual problem based learning (CPBL) on theme 2 sub-theme 3 on alternative energy that is valid, practic and effectiv. Design research was quantitative descriptive and carried out by grade IV students of SD Muhammadiyah 6 Genteng, Banyuwangi Regency involving 70 students. Research of development using a 4-D development model research design consisting of 4 stages: define, design, develop and dissemination. Processing in this study used the SPSS 17 program. After conducting research on the experimental class and control class, the data obtained from student learning outcomes in the form of pre-test and post-test data. The data will be processed using SPSS 17 to determine whether there is an effect of developing CPBL-based science learning tools on problem solving skills in class IVSD. The influence test using the independent t-test first checked the assumptions of normality and homogeneity of the pre-test and post-test data. The normality test in this study used the Shapiro-Wilk test, while the homogeneity test used the Levene test, it was found that the Sig. in the Shapiro-Wilk column for the experimental class is 0.135, because 0.135> 0.05, the pre-test data for the experimental class is normally distributed. Furthermore, the Sig value is obtained. in the Shapiro-Wilk column for the control class is 0.214, which the pre-test for the control class is also normally distributed because 0.214> 0.05. The assumption for the normality of both data is fulfilled. The analysis was carried out using a mix method, namely combining statistical data with descriptive data in the form of lesson plans, worksheets, Learning Result Test, and problem solving abilities. The results showed that all indicators were categorized as good and very good. It can be concluded that the problem solving indicators of alternative energy source materials show significant results.

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10.1088/1742-6596/1839/1/012029