Application of Deep Learning in Improving Technology Learning System
Keywords:
Artificial Intelligence, Deep Learning, Digital Education, Educational Technology, Learning SystemsAbstract
This study aims to explore the application of deep learning techniques in enhancing technology-based learning systems in Indonesia. With the rapid integration of artificial intelligence in educational settings, this research focuses on how deep learning can improve learning outcomes, engagement, and efficiency in both online and traditional learning environments. The research employs an experimental methodology, using machine learning algorithms such as Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) to personalize learning experiences for students in various educational levels. Data were collected from several case studies in Indonesian educational institutions, and the results were analyzed using both qualitative and quantitative methods to evaluate the effectiveness of deep learning in improving student performance and engagement. The findings reveal that the integration of deep learning not only enhances student learning outcomes but also fosters more interactive and adaptive learning environments. This research contributes to the advancement of educational technology by demonstrating how AI-driven learning systems can address the challenges faced by traditional educational models and offers valuable insights for the future development of AI-based learning tools in Indonesia.
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