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All Journal PEDAGOGIC: Indonesian Journal of Science Education and Technology
Intang, Andi Bunga
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Education Environmental Science Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Penerapan Pendekatan Deep Learning Melalui Variasi Model Pembelajaran Aktif pada Materi Wawasan Nusantara dalam Pembelajaran Pendidikan Pancasila Kelas VIII.8 UPT SPF SMP Negeri 26 Makassar Intang, Andi Bunga; Baharsa, Pratiwi; Abustang
PEDAGOGIC: Indonesian Journal of Science Education and Technology Vol. 6 No. 5 (2026): PEDAGOGIC: Indonesian Journal of Science Education and Technology (In-Press)
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/ijset.v6i5.7451

Abstract

This study aims to describe the implementation of a Deep Learning approach using various active learning models for the topic of Wawasan Nusantara (Archipelagic Insight) within the Pancasila Education subject for class VIII.8. The research was conducted over seven sessions as part of the Guided Field Experience Practice (PPL) of the Teacher Professional Education (PPG) program at UPT SPF SMP Negeri 26 Makassar. A descriptive approach utilizing both qualitative and quantitative data was employed, following a reflective cycle design comprising planning, acting, observing, and reflecting. The learning models implemented included Discovery Learning, Cooperative Learning, Student Teams Achievement Divisions (STAD), Talking Stick, and Problem-Based Learning (PBL). Data were gathered through participant observation, student worksheets (LKPD), formative assessments, and reflective journals from both the teacher and the 30 participating students. The results indicate a gradual improvement in formative assessment scores (from 68.0 to 89.0), learning mastery (from 56.7% to 93.3%), and active participation (from 65.0% to 96.0%). An N-Gain score of 0.80 signifies an improvement in the high category. These findings demonstrate that the use of varied active learning models within a Deep Learning framework correlates with increased student engagement and understanding throughout the learning process.
Co-Authors Abustang Baharsa, Pratiwi