Design Of Personalized Learning System Based On Context Awareness On WeChat Public Platform

With the development of mobile Internet,mobile learning not only realized the learners’ demands for mobile learning,but also supported learners to organize learning activities in various forms such as autonomous learning or collaborative learning in mobile devices.In the field of mobile learning,we have been studying how to optimize the personalized learning service.Because of the relatively large influence of the mobile learning situation on the mobile learning effect in the process of mobile learning,the uncertainty of the learning situation becomes an obstacle to the movement of learners in the mobile environment,The complex learning situation will affect not only the decision made by mobile scholars in the process of mobile learning,but also affect the learning system to provide targeted personalized learning services for learners,so the current mobile Learning researchers have been looking for ways to reduce the impact of learning context on learning outcomes.Context awareness originated in the field of computer science,situational awareness technology can be a good access to the user’s context information to help learning system for learners to provide better service.Therefore,based on the study of learning style and learning environment(mainly considering the noise)on learners’ learning,this study studies the teaching design strategies and presentation methods of learning resources based on different learning styles and learning environment.The rules of personalized learning resources based on situational awareness are given.On the other hand,taking the "photography foundation" course as an example,from the curriculum design,teaching methods,learners analysis,learning environment analysis of the curriculum for teaching design research.At the same time with the micro-public platform,Sina cloud,Turing robot and other platforms to design and implementation of the We Chat service platform for human-computer interaction interface,Sina cloud storage for learning resources storage area,Turing robot for learning resources personalized intelligent recommendation engine Mobile learning system,to achieve a learner based on the learning style and learningenvironment(mainly considering the noise)of the learning resources personalized recommendation for learners at any time,anywhere personalized learning to provide a better learning space.