Development And Application Research Of Personalized Learning System Based On Situational Information

With the development of mobile learning and location services,mobile learning based on location services is emerging.Learning through mobile terminals receive many attention.In the age of information explosion,compared with the traditional personalized recommendation system,personalized recommendation based on situational information bringing in personalized recommendation based on geographic location information,which can better help students to acquire the learning needs that meet the current learning environment.Through the personalized recommendation based on situational information can effectively help students filtering out the information that they do not interested in,to explore the learning needs of students in the current learning situation better and this approach greatly increase the liveness of students in the process of mobile learning.At present,personalized recommendation has been widely used in the traditional online learning platform,which is also essential for personalized learning recommendation system based on situational information.At present,in the personalized recommendation system based on situational information,the situational types of resource recommendation mainly include learners' situation,learning resource situation,domain knowledge situation and learning location situation.The personalized resource recommendation of learning location situation has become a focus of recent research.First of all,based on the situation of information resources of personalized recommendation system widely studied,from the angle of characteristics of learners,reading many relative literature both domestic and abroad,the characteristics of college learners and network learners are deeply analyzed and studied in the view of students in different location,different times,different learning environment to build network learning characteristic analysis model for the learner of universities.The thesis' s aim is to solve the problem of information overload and discuss a new form of study.Through the transmit of Mobile Terminal,we will create an interactive connection between person and person and between person and knowledge,in order to improve the ability level of our own,realize the technology's conversion,intelligent development and solve performance problems.So the paper gives a form which sets study as its aim.With the Wechat public platform as the carrier,we develop a learning platform which is in the line with our teaching model.We recommend suitable learning points for students in different geographical environments,and give advisements to them according to their current learning position,learning environment factors,learning time and learning characteristics.To a certain extent,the spatial and temporal constraints of students' learning are reduced,this is helpful for learners to learn efficiently.This paper will start with personalized learning recommendation which is based on situation and further improve students' learning efficiency.