Development of a Japanese MOOC System Based on Deep Learning

With the advent of the information age and the rapid development of computer technology, internet technology, and multimedia technology, various types of information in the world are growing exponentially, and the growth rate is still accelerating. The amount of data processed by Google servers every day has exceeded 24 PB, which means that the amount of data processed by Google every day is thousands of times that of the paper publications of the National Library of America. Therefore, Lifelong learning has become a widely recognized lifestyle. Since the first year of MOOC in 2012, there has been a global wave of MOOC. The MOOC education model provides equal opportunities for people to obtain high-quality educational resources. MOOC has become one of the hottest research fields, and the era of knowledge sharing has arrived. The application analysis system can realize the retrieval and query of the whole Japanese language structure, but there are also some deficiencies in self-discipline. Neural network needs to be improved by means of neural network, which can make up for the deficiencies in data analysis by weighting. Through the application of BP neural network, we can realize the real-time monitoring and intelligent diagnosis of students’ learning behavior, and provide targeted teaching strategies for teachers, thus improving teaching quality.