Pengaruh Modul Ajar IPA Eksperimen SD Berbasis Pendekatan Deep Learning Terhadap Kemampuan Proses Sains Mahasiswa PGSD

Abstrak

This study aims to determine the effect of elementary science experiment teaching modules based on the Deep Learning approach on the science process skills of PGSD students. Deep Learning is an in-depth learning approach that emphasizes meaningful understanding through reflection, critical thinking, and metacognition. This research employed a quasi-experimental method with a pretest-posttest control group design involving 60 PGSD students divided into experimental and control groups. The experimental group used Deep Learning-based teaching modules, while the control group used conventional modules. Science process skills measured include observing, classifying, measuring, communicating, inferring, and experimenting. Data were analyzed using independent sample t-test. The results showed that the experimental group's average science process skills score (82.5) was significantly higher than the control group (71.3) with p-value less than 0.05. The Deep Learning approach enables students to understand science concepts more deeply through structured reflection and critical analysis of experimental activities. This study concludes that Deep Learning-based teaching modules effectively improve PGSD students' science process skills and can be applied in elementary science learning.