The Online Learning and Monitoring System Model of MOOCs

Abstract

MOOCs is the rise of a kind of education teaching mode, which has a big difference with the traditional teaching mode. Online learning is also a specific application of modern computer technology in network practice. Genetic Algorithm(GA) is a global optimization algorithm to simulate the life evolution mechanism and achieve random search, which has a very strong calculation ability. In this paper, GA is put forward for MOOCs to monitor the data in the process of online learning. Introduction In recent years, MOOCs is the rise of a kind of education teaching mode, which has a big difference with the traditional teaching mode. Its teaching characteristics of large-scale, online and open breaks the limit of the traditional school which depends on the fixed place of teaching. Under the premise of the condition that has access to the Internet, more than ten thousand people or more people can participate in the study. Online learning is the inevitable trend of network development, which is a form of distance education. Online learning is also a specific application of modern computer technology in network practice. It takes full advantage of the existing network resources. It can transcend the limit of time and space, break the traditional teaching mode and manifest a personalized education through developing an online-learning system. It can not only optimize the resources of network education, popularize education for all people, improve the overall quality, but also can greatly reduce the cost of education, improve the quality of teaching and meet the needs of the learner's personalized features. Therefore, it has a very broad social value. Genetic Algorithm(GA) is a global optimization algorithm to simulate the life evolution mechanism and achieve random search, which has a very strong calculation ability. Its solving process is simple through high efficient and adaptive control and search for encoded space parameters, to ensure the optimum solution. It is an universally adaptive search method for solving optimization problem, which is one of the key technology for intelligent calculation in the 21st century. In this paper, GA is put forward for MOOCs to monitor the data in the process of online learning. Real-Time Monitoring and Control of Learning Process Real-time monitoring and control mainly records the length of the online learning time of learners, the number of discussion posts, topic selection etc.. According to whether it is real-time between the learning activity and communication, it can be divided into synchronous communication and asynchronous communication. The former is mainly based on longed for sorting. It firstly solves the problems in the top position of MOOCs online, and then to discuss and study. In view of the problem which can't be repled in a timely manner, asynchronous communication mainly uses the manner of EMAIL and BBS to make a delay answer. Different monitoring measures for different communication way, especially to effectively monitor and track for synchronous communication information, it can effectively grasp the learning status and progress of learners. The framework of MOOCs education online learning and monitoring is shown as follows in figure 1. International Conference on Education Technology, Management and Humanities Science (ETMHS 2015) © 2015. The authors Published by Atlantis Press 322