Multimedia Learning Modules (MLMs) Based on Local Wisdom in Physics Learning To Improve Student Diagram Representations in Realizing the Nature of Science

Multimedia Learning Modules (MLMs) Based on Local Wisdom in Physics Learning To Improve Student Diagram Representations in Realizing the Nature of Science

diagrams

test instruments

local wisdom

multimedia learning modules

representations

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. Non-test instrument is a questionnaire study of test instruments. The validation of the test instrument was carried out using Aiken's V. 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.

Warsono, Warsono

Nursuhud, Puji Iman

Darma, Rio Sandhika

Supahar, Supahar

Oktavia, Danis Alif

Setiyadi, Ahdika

Kurniawan, Mas Aji

International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 06 (2020); pp. 148-158

1865-7923

International Association of Online Engineering (IAOE), Vienna, Austria

2020-04-17

Copyright (c) 2020 Puji Iman Nursuhud, Rio Sandhika Darma, Warsono Warsono, Supahar Supahar, Danis Alif Oktavia, Ahdika Setiyadi, Mas Aji Kurniawan

application/pdf

eng

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

Peer-reviewed Article