COMPTON: Jurnal Ilmiah Pendidikan Fisika
Vol 12 No 2 (2026): Compton: Jurnal Ilmiah Pendidikan Fisika

Application of deep learning by gamification media to improve science understanding and collaboration

Zainal Ihza Fahreza (Unknown)
Elvin Yusliana Ekawati (Sebelas Maret University)



Article Info

Publish Date
26 Aug 2026

Abstract

Deep Learning is a learning approach with many educational benefits, including in-depth understanding, critical, reflective, creative, and applicative thinking processes. This approach encourages students not only to memorize facts but also to integrate new knowledge with existing knowledge, in addition to active student involvement through social and emotional interactions, and improve skills such as problem solving, innovation, and collaboration. Three aspects of Deep Learning related to meaningful learning, mindful learning, and joyful learning are very suitable for improving students' understanding of science and collaboration skills. This study uses a classroom action research method with the Kurt Lewin model, which describes action research as a spiral process that includes one cycle consisting of four steps, namely planning, action, observation, and reflection. The study results showed that applying Deep Learning assisted by gamification evaluation media on the material of quantities and measurements in physics can improve students' understanding of science and collaboration. The increase in understanding of science, which was initially an average of 57 with a completeness of 46%, to an average of 87.2 with a completeness of 94%. Meanwhile, in collaboration skills, there was an increase, which initially had a completeness of 52% to 93%.

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Journal Info

Abbrev

COMPTON

Publisher

Subject

Education Physics

Description

The journal reports significant new findings related to physics and education physics, including: learning media development, learning methods development, learning methods implementation and several application of ...