THE EFFECTIVENESS OF MOBILE LEARNING APPLICATIONS IN NATURAL SCIENCE LEARNING IN POST-PANDEMIC COVID-19
Inestha Louk1, a) , Didi Teguh Chandra2, b) and Parsaoran Siahaan3, c)

1 Natural Science Education, School of Postgraduate, Universitas Pendidikan Indonesia.
2,3Physics Education Department, Universitas Pendidikan Indonesia.


Abstract

Mobile learning applications as online learning media in post-pandemic Covid-19 that hit the world have been used in almost all countries, including developing countries such as Indonesia. All learning uses mobile learning applications, including natural science learning. So science teachers are required to use valid and effective mobile learning applications to improve student learning outcomes in natural science learning during online learning. Therefore, this study aims to produce a valid and effective science mobile learning application for use by grade IX students in online natural science learning. The study was conducted in a limited trial in terms of the results of the validation of the mobile learning application, student perceptions, and student learning outcomes. The research design used is the ADDIE development model which includes (1) analysis, (2) design, (3) development, (3) implementation, and (4) evaluation. Collecting data using expert judgment, questionnaires to determine student perceptions, and pretest-posttest to determine the effectiveness of mobile learning applications on student learning outcomes. Research respondents consisted of 31 students in the control class and 32 students in the experimental class. The results showed that the mobile learning application was valid, students^ perceptions of the mobile learning application based on the questionnaire obtained 86% of the practical category and the effectiveness of the mobile learning application seen from the experimental class student learning outcomes was better than the control class, namely the average student n-gain value. the experimental class is 0.71 and the control class is 0.60.

Keywords: mobile learning, natural science

Topic: Computer Science Education

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