Classroom Of The Future: Studying Learning Support System

COTF is full of high-tech. However, it is not the real future classroom which just simply lists the high technology. We need a mobile learning platform to integrate these technologies. At present domestic research to COTF is limited in theory. The research which involves the experiment is just only aimed at the electronic whiteboard classroom exploration, and the research usually fails to consider that how to put the key technology of COTF into a set of system from the angle of organic technology. This paper attempts to build a mobile learning system for future classroom, so that it can promote the self-study process of the learners. It is also beneficial for the development of the students and it plays an important role to cultivate the creative talent.The learner is the heart for the mobile learning support system in t COTF. The system shows the subjectivity of students, so the thesis focuses on the construction of student models. Through a large number of literatures, I analyse several different constructions of the student model and decide to use Bayesian student model to solve the uncertainty problems in teaching.For example, "Database Principle" course uses Bayesian network to build the student mode, which references the Ministry of Education Committee of education information technology standard CELTS-11 learner model standard. It will affect redivision of the student’s information of the student model. Implementation of student model by Bias Network on the inference algorithm based on message passing realize the dynamic evaluation of students’ learning situation and provide corresponding learning support. Finally, selecting jQuery Mobile front-end development framework can solve the problems that the different mobile devices different browser compatibility issues, framework. In a word, this paper develops a mobile learning support system of COTF to diagnose the students’ learning situation according to the front side and the rear side. And it will achieve the goal that the system can adjudge the learning navigation and the teaching strategies dynamically.