Digital Mind Mapping Learning Model to Increase Student Creativity

DOI

10.2991/assehr.k.220108.018How to use a DOI?

Keywords

Civic Education Online Learning; Digital Learning; Digital Mind Mapping; Student Creativity

Abstract

This study aims to empirically test the effectiveness of civic education learning using digital mind mapping learning model to the creativity of learners. The sample of this study is students of class XI Science 1 Majalengka 1 Senior high school as an experimental class. This study uses quantitative approach with quasi method of pretest–posttest design experiment, data collection is conducted with research instruments in the form of pretest-posttest questions in experimental classes and control classes, measurement instruments of student creativity and questionnaires that refer to indicators of student creativity. Data analysis using Normalized Gain statistical test with statistical test hypothesis testing. The results showed an increase in the category of creativity of learners in the results of pretest-posttest in experimental classes that use digital mind mapping learning models, there was an increase in the low category of creativity of learners in the results of pretest-posttest tests in the control class using mind mapping models, there were differences in creativity skills seen from N-Gain in pretest–posttest test results in experimental classes and control classes, Digital mind mapping learning model is effective to increase the creativity of learners in civic education learning.

Copyright

© 2022 The Authors. Published by Atlantis Press SARL.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - Fajar Bagja Gumilar Winata
AU  - Rahmat Rahmat
PY  - 2022
DA  - 2022/01/21
TI  - Digital Mind Mapping Learning Model to Increase Student Creativity
BT  - Proceedings of the Annual Civic Education Conference (ACEC 2021)
PB  - Atlantis Press
SP  - 101
EP  - 106
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220108.018
DO  - 10.2991/assehr.k.220108.018
ID  - Winata2022
ER  -