Multimedia learning modules (MLMs) based on local wisdom in physics learning to improve student diagram representations in realizing the nature of science

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Abstract

This research was conducted to determine the feasibility of the instrument diagram representation test and the effectiveness of Multimedia Learning Modules (MLMs) integrated local wisdom in physics learning activities. The study design used a pretest-posttest control group design. The research instrument consisted of tests and non-tests. The test instrument was in the form of five items arranged according to the diagram representation indicators, namely drawing diagrams and their components and performing mathematical calculations according to the diagram explanation. The non-test instrument is a questionnaire study of test instruments. The validation of the test instrument was carried out using Aiken's V. The data analysis techniques used the General Linear Model (GLM) with a significance level of 0.05 to test the effectiveness of integrated local wisdom MLMs in improving student diagram representation. The results showed that the overall item items were declared valid with Aiken's V score in the range of 0.88 to 0.92 and the integrated local wisdom MLMs were effectively used in physics learning activities to improve student diagram representation based on Mean Difference (MD) values of-54,449.

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Warsono, Nursuhud, P. I., Darma, R. S., Supahar, & Oktavia, D. A. (2020). Multimedia learning modules (MLMs) based on local wisdom in physics learning to improve student diagram representations in realizing the nature of science. International Journal of Interactive Mobile Technologies, 14(6), 148–158. https://doi.org/10.3991/IJIM.V14I06.11640

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