A Study Of Learner Portrait Based On Online Learning Behavior

With the development of Internet technology and information technology,the rapid growth of data has been triggered,and the world has entered the era of big data.The flexible and changeable way of online learning gives learners greater freedom and choice,provides an effective way for lifelong learning,and accumulates a large number of online learning behavior data.Learning analysis takes the massive data generated by learners in the process of learning as the object of analysis.It comprehensively uses analytical tools and methods to process and analyze the learning data,excavates its deep meaning,and establishes the relationship between quantitative structure and meaning understanding.The emergence and development of learning analysis provides new research directions and ideas for the study of online learning.According to the learner's behavior in the learning process and the basic attributes of the learner,the learner portrait model is established to find out the rules and develop the application,so that the online learning platform can provide personalized,precise and intelligent online learning support services for learners according to the learner portrait,so as to improve the learning efficiency and quality.Therefore,this study carries out learner portrait modeling based on online learning behavior,and clarifies its application direction.To carry out the study of learner portrait based on online learning behavior,we should first solve the problem of data collection.Through literature analysis,the advantages and disadvantages of SCORM and xAPI are compared,and it is found that SCORM is difficult to meet the research needs.This study collects and exchanges data using the technical characteristics of xAPI standard cross-platform and cross-terminal,so that learning experience data can exist independently of learning management platform,which facilitates subsequent learning analysis and data mining.In addition,this study introduces xAPI activity flow Activity Stream,analyses the structure of activity flow Activity Stream,compares LMS with LRS,designs a learner-centered set of normative verbs and normative object sets based on xAPI standards,which lays a foundation for building a learner portrait model based on online learning behavior.With regard to the construction of learner portrait model based on online learning behavior,this study proposes a feasible and operable framework and process for the construction of learner portrait model based on online learning behavior by using literature research method and model construction method,according to the methods and general steps of learning analysis and combining with xAPI standards.The framework consists of clear portrait objectives,data collection and drawing.Image modeling,visual output and application are composed of five stages.At the same time,the application of portrait can further clarify the goal of portrait and form positive feedback.Among them,the construction of learner portrait model based on online learning behavior is the core of the whole process.This study combs the current research status of learner portrait,combines the data of MOOC network learning platform in China University,proposes a learner portrait model based on network learning behavior from four dimensions: curriculum learning characteristics,interpersonal interaction characteristics,task completion characteristics and learning performance,and designs xAPI activity flow to specifically identify learner learning behavior,and scores in education big data learning.On the basis of analysis and data mining,the visual presentation of learner portraits is carried out.Finally,the application direction of learner portraits based on network learners is pointed out,which provides support for teaching and learning stakeholders to better carry out teaching practice.In the application of learner portraits based on online learning behavior,this study divides learner groups into three categories,i.e.higher immersion,through descriptive analysis,correlation analysis and cluster analysis,from the characteristics of curriculum learning,interpersonal interaction,task completion and learning performance.Sex learners,low-immersion learners and high-immersion learners,and the characteristics of each type of learners are explained and described in detail.According to the principle of portrait output,three types of visual output of learners' portraits are carried out,which can directly distinguish different groups of learners.Through the portrait analysis of learner groups,this study puts forward some corresponding suggestions for each group,which can help teaching and learning stakeholders accurately recognize learners to go to groups,better provide group personalized learning support services,and prevent learners from losing.