Applying Deep Learning to Enhance Conceptual Understanding in Islamic Education within Digital Learning Environments
Keywords:
Deep Learning, Conceptual Understanding, Islamic Education, Digital Learning EnvironmentsAbstract
This study explores the application of curriculum deep learning strategies to enhance students' conceptual understanding in Islamic education within digital learning environments. The research addresses the challenges posed by traditional learning methods, which often fail to engage students deeply and promote critical thinking. Using a mixed-method approach involving 51 elementary school students, the study evaluates the effectiveness of digital tools combined with deep learning pedagogy. The results show a significant improvement in students' conceptual understanding, with post-test scores increasing by an average of 35% compared to pre-test scores. Qualitative data revealed that students found digital learning more engaging and effective in fostering comprehension, although issues like internet connectivity posed challenges. Teachers also highlighted the potential of deep learning strategies but emphasized the need for professional development to optimize digital integration. The findings bridge theoretical and empirical gaps, demonstrating that combining curriculum deep learning with digital tools offers a transformative approach to Islamic education. This study concludes that such integration enhances student engagement, critical thinking, and knowledge retention, making it a viable method for modern educational contexts.
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Copyright (c) 2025 Juharoh Juharoh, Arief Sukino, Sumin (Author)
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