Research On The Construction Of Learning Behavior Analysis Model In Community Cyberspace

In the era of "Internet?education",schools have rushed to develop educational informatization,and a large number of cloud classrooms and cloud platforms have been built up.Teaching students in accordance with their aptitude has always been regarded as the most effective method of education.However,in practical teaching,most of the cyberspace can't provide systematic learning analysis for teachers,which leads teachers to face the big data of learner behavior,but can't effectively use it..Today,when education big data is booming,how should we quantify this "material" and draw a picture of learning state to learners and educators,thus providing a favorable basis for"teaching"?This is the focus of this study.Firstly,based on the research focus,the research on the related theories of online learning space and learning behavior analysis.The community-based e-learning space is a virtual space that supports online learning activities as an essential feature of online seminars.Learning behavior analysis focuses on the explicit or implicit learning behaviors produced by learners in the learning process.By measuring,collecting,analyzing and reporting learners' learning behaviors,learners' learning is more convenient and intuitive.Understand,and thus be able to carry out targeted teaching or improve learning activities.The comnunity-based network learning space includes three subsystems:digital education resources,management and decision-making,comnunication and dialogue.The system includes explicit behaviors such as learner's access time,as well as explicit behaviors such as quizzes,forum questions,and answers.Based on this,a learning behavior analysis model in community?based network learning space is proposed.From the explicit and implicit behaviors of the learners,the model analyzes the five aspects of click preference,cognitive state,interaction state,sentiment orientation and subject of interest to form visual results.Then,relying on the hybrid course of C Ianguage programming of digital media technology,based on the analysis model,collect and analyze the learner's online learning behavior,analyze the learner's individual and overall learning situation,and form a visualization.resuh.In this study,the result of the analysis mainly provide feedback to teachers,provide scientific basis for teachers to improve teaching strategies,and develop targeted teaching interventions,and thus can realize educational methods for teaching students in accordance with their aptitude.The analysis results of the model can also provide feedback to learners,and provide reference for self-management of learners with strong self-regulation ability.Finally,the learner's learning effect is studied from the learner's score analysis and learner interview.The research results show that the online learning behavior of learners can effectively reflect the learner's learning state,and can provide teachers with effective information to improve teaching,so as to achieve the ultimate goal of effective classroom.This also directly illustrates the effectiveness of the application of the analytical model.