Design and Digital Platform for Online Education Based on Machine Learning

Currently, emerging technologies are the main focus, and information data is its most basic element. Applying digital technology and digital thinking to the entire process of education management to support scientific educational decision-making is of great significance for promoting the transformation and upgrading of education management in China. This article starts from the demand of digital transformation for scientific decision-making, based on the idea of “data-driven decision-making”, intelligently reconstructs and processes the educational decision-making process, and explores its intelligent solution mechanism. This article explores the design and application of a digital platform for online education based on machine learning (ML). By integrating digital technology and data-driven decision-making concepts, educational management has been intelligently restructured to support scientific educational decision-making. The study improved the efficiency and accuracy of teaching content management and learning resource recommendation by designing a self-learning communication platform and personalized recommendation system (with a recommendation accuracy of at least 0.76 for different total resources). The experimental results show that the platform performs excellently in content management, personalized recommendations, and user satisfaction. Teachers and students have high overall satisfaction ratings for the platform, and the performance and stability of the system have also been verified. Research has shown that digital platforms play an important role in promoting and implementing online education.