The Implementation Of Online Learning Behavior Collection System

Along with the rapid advance and development of cloud computing,artificial intelligence and 5G technology,network technology and network communication technology have been in-jected with new power.And these technologies are also detonating thousands of businesses to generate commercial fission,allowing us to foresee a more convenient future,among which the field of distance education has been greatly promoted and developed.As a novel and popular form of education in the modern information society,an open learning platform online course has brought a new atmosphere for the development of education moderniza-tion.Online learning takes advantage of the universality and convenience of the Internet to break the limitation of time and space,enabling people to use the Internet for independent learning at any time and place.Therefore,more and more learners carry out learning activ-ities on various online learning platforms[1].This new form of learning meets the needs of learners to achieve flexible independent learning activities asynchronously,but because learning is self-learning,the completion rate and dropout rate of learning are significantly different from traditional classroom teaching.Video learning is the most mainstream learning mode in the network learning platform and also a major part of the online course.The video learning behavior data contains rules for online learning.For the purpose of solving the complex problems faced by online learning,the learning behavior data of learners are collected and analyzed to explore the details of learning process of learners and feedback the results to learners,so as to promote more effective learning technology.This thesis designs and implements an online learning behavior collection system to track user online video learning behavior data and visualize the behavioral data after statistical analysis.A calculation method is proposed to estimate effective learning from the two as-pects of effective viewing time and information processing degree,and a ranking mechanism is designed to stimulate the learning motivation of learners.The system adopts the ng-Alain and SpringBoot as development mode,which separates the front end from the rear end.MySQL is used as the data storage unit,and WebSocket implements front-end and back-end information communication.