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At present, the field of natural language will also introduce in-depth learning, using the concept of word vector, so that the neural network can also complete the work in the field of statistics. It can be said that the neural network has begun to show its advantages in the field of natural language processing. In this paper, the author analyzes the multimedia English course based on fuzzy statistics and neural network clustering. Different factors were classified, and scores were classified according to the number of characteristics of different categories. It can be seen that with the popularization of the Internet, MOOC teaching meets the requirements of the current college English curriculum, is a breakthrough in the traditional teaching mode, improves students' participation, and enables students to learn independently. It not only conforms to the characteristics of College students, but also improves their learning effect. In the automatic scoring stage, the quantitative text features are extracted by the feature extractor in the pre-processing stage, and then the weights of network connections obtained in the training stage are used to score the weights comprehensively. This model can better reflect students' autonomous learning ability and language application ability. [ABSTRACT FROM AUTHOR]

As a new teaching mode, online courses have become one of the most important teaching methods in higher education. At present, there are still some shortcomings in online course live broadcast teaching platform including insufficient hardware support, low flexibility and weak interactivity. Meanwhile, during the entire online course teaching process, teachers do not know the overall learning effect of students in real time to determine the next teaching plan. This study presented a real-time interactive technology to enhance the interactive of the entire online course broadcast teaching platform. At the same time, it combined a monitoring method for online course terminals, servers and learning process to demonstrate students' learning effect in the whole online course learning process, and finally built the online course broadcast teaching platform. The practice test in teaching shows that the online course broadcast teaching platform can improve the teaching effect among students, which is of great significance for the improvement of teaching quality. [ABSTRACT FROM AUTHOR]

At present, teachers and students are unable to communicate with each other directly in the network courses so that the teaching quality has been compromised. Moreover, teaching process becomes slow in traditional teaching mode of network course. In this project, we introduced an innovative PBL (Problem Based Learning) teaching method and combined teacher and student interaction for a network course, while utilizing cloud computing. In addition, all workstations were card workstations to reduce the delay of teaching task. We designed a platform with a personnel information module and a learning service module. The learning service module covers three main functions: teaching service resources management, online coaching, and assignment submission and correction. The evaluation outcome shows that the learning outcome and learning interest was superior for students who used the PBL network teaching platform, compared to the students who didn't use this platform. [ABSTRACT FROM AUTHOR]

Abstract: On the network environment, students can get knowledge and skills by autonomous learning. Autonomous learning is in the guide of the advanced education thoughts and theories, take multimedia and the network mechanics of communication as the core information technology the cognition as tools. The article took the Web 2.0 technologies as a platform, developed a “Computer Architecture” network course, explained course website construction and the application for autonomous learning. [Copyright &y& Elsevier]