Perbandingan Pendekatan Saintifik Dengan Pendekatan Deep Learning Pada Pembelajaran Matematika

Abstract

This study aims to compare the scientific approach and deep learning approach in learning mathematics. Mathematics learning is a crucial aspect of education that develops the ability to think logically, analytically and creatively, but many students still face difficulties in understanding and applying mathematical concepts. The scientific approach, which emphasizes the scientific process through observation, hypothesis, experimentation and data analysis, has been popular and effective in improving deep understanding and critical thinking skills. However, this approach tends to focus on procedural processes and requires more time and resources. On the other hand, deep learning approaches, which center on understanding deeper and more complex concepts and developing higher-order thinking skills, including artificial intelligence (AI), are gaining more attention. This research uses a descriptive qualitative method with a literature review to analyze data from various sources. The results show that the scientific approach helps students actively think critically and systematically, while deep learning proves more effective in long-term concept retention and knowledge transfer through personalized, project-based, fun learning, as well as utilizing AI in assessment and question generation. This comparison highlights the strengths and weaknesses of each approach, with the scientific approach focusing on critical thinking and systematic learning.