Construction of Multi-Dimensional Teaching Model Based on Computer Multimedia Network

Author(s):  
Wenting Ma

To improve the efficiency and effect of mechanical English learning, the advantages of computer-assisted learning is analyzed, and the teaching model based on Multimedia network is proposed. By means of comparing the results of the experimental teaching model, conclusions are drawn that the experimental type (ET) can stimulate students’ motivation much more than the control type (CP) can do. To elaborate the theoretical foundations of both task-based language teaching (TBLT) and computer assisted language learning (CALL) for mechanical engineering students, it shows the necessity and feasibility of TBLT based on Multimedia- Network for mechanical English. A teaching model for mechanical English is constructed which includes an experimental research in its application in teaching mechanical engineering students. The result of the experiment proves that the task-based teaching model based on multimedia network changes the students’ passive attitude in traditional teaching process and makes them more active in the class. In this case students’ interest and creativity are stimulated and their autonomous learning ability can be trained.


Author(s):  
Yubing Yao ◽  
Congying Ma

Language is the most important communication tool of human beings, and listening is one of the basic skills of language expression. Without good listening comprehension ability, it is impossible to use language flexibly to communicate. Due to the influence of traditional education mode, Chinese students' English listening is generally poor. Therefore, a new English listening teaching mode is needed to help students improve their English listening. In this paper, multimedia network technology is used to realize the integrated English listening teaching of listening, speaking and dictation skills, and a multimedia network English listening teaching model based on speech recognition confidence learning algorithm is proposed. In order to improve the effectiveness of the mainstream confidence method based on Lattice posterior probability, this paper proposes an improved confidence algorithm based on Lattice posterior probability, and then converts the obtained confidence score into discriminant confidence score by Support Vector Machine(SVM) to further enhance the discriminant ability of confidence. Aiming at the imbalance of training data, a score correction strategy is proposed. The experiment shows that the English listening teaching model realized by using multimedia network technology can effectively enhance the students interest in learning and improve their listening ability. And the improvement of the mainstream confidence method based on Lattice posteriori probability can effectively improve the recognition ability of the algorithm and further improve the students’ English listening learning effect.


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