Research On Intelligent Management Of Online Learning Space Based On Data Analysis

Since the 21 st century,with the arrival of human lifelong learning and the development of education diversification,the traditional study method cannot meet the learning needs any more.The online learning space,as a kind of online learning platform,provides learners with a new way of online learning because of its ease of use,good interactivity,without being limited by the space and time characteristics.However,the analysis of the online learning space is not in place,and the intelligent response to the learning needs cannot be realized,resulting in the low efficiency of getting learning space resources.Secondly,learning spatial resource intelligent recommendation system is not perfect,which can easily lead to the waste of learning resources and loss of "edge" users;Finally,through the analysis of the public opinion of online learning space,combined with the literature research,it is found that management of public opinion is often not in place in many learning Spaces.This paper focuses on the network learning space of "Micro class production".We extract high frequency keywords through mining and analysis data from learning space in order to get learning demand.The map of social network of learning space about the learning requirements is plotted by Co-word analysis and cluster analysis.The learning needs hierarchy tower of online learning space is constructed.Furthermore,the intelligent management robot is designed and developed by cool Q based on learning objectives,learning content and learner.The learning resources are restored in Baidu cloud platform.The intelligent management robot consists of three modules: intelligent answering module,resource recommendation module and public opinion management module.At last,this paper makes an effective analysis of intelligent management robot from the angle of learning space interaction.