This paper starts from the specific activities of online learning under the background of big data, to perform data mining and analysis on learning trajectory left by different learners in the online learning context. In specific application, the learners\' behavior of online foreign language learning platform is analyzed, the massive real-time data generated by the learners in the platform learning are mined, and the immersive personalized online learning environment is constructed from the aspects of learning behavior guidance. Finally, the case of online learning based on big data environment is designed to explore the intensive thinking and behavior of learners, to describe the behavior characteristics of users through learning proximity, frequency and length of the platform, and to complete the classification index system based on user behavior. Cluster analysis, recommendation analysis and correlation analysis are performed for online learning behavior in big data environment, which provides suggestions and enlightenment for the platform users to evaluate and intervene in learning, and for teachers to make and improve teaching decisions.
• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask,hadoop Frontend :-python Backend:- MYSQL
₹10000 (INR)
2019