Education Method of Multi-Teaching Model Based on Task-Driven Legal Innovation

Author/s: Haitao Sun

DOI: 10.12738/estp.2018.6.281 

Year: 2018 Vol: 18 Number: 6

Abstract

The legal education in China started late, especially the legal education in colleges and universities is mainly based on the American legal talent training model combined with the national conditions of the country and the corresponding legal status. With the continuous enrichment of China’s laws and the continuous development of the social economy, people’s demand for legal assistance is growing. The legal education system in China’s colleges and universities is too singular, and the current situation that drives the lack of development momentum is gradually exposed. Therefore, it is very meaningful to analyze the shortcomings of the current legal system in a timely and effective manner and to conduct a reasonable discussion on the existing problems to obtain a new legal teaching system with practical significance. This paper will analyze and study the problems existing in the legal teaching system of colleges and universities in China, such as the lack of motivation for driving development and the content of legal teaching and the simplification of the form. At the same time, the taskdriven teaching method is used to design the relevant legal teaching mode, and the innovative proposal is based on the task. The application of the driving method in the content of legal teaching, the design and learning of teaching process and the design of teaching evaluation. Based on the theory of this experiment, this paper selects a college law class to conduct actual experimental analysis, and after the experiment, the questionnaire and the unit test data collection are carried out. The results show that the task-driven multi-legal teaching mode proposed in this paper has more traditional teaching than traditional teaching. The model has a better teaching effect.

Keywords
Task-Driven Strategy, Multi-Learning Method, Research on Legal Education Teaching Mode

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