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Research on the Problems and Countermeasures in Network teaching of law Major in the era of artificial intelligence
2nd International Conference on Artificial Intelligence and Education, ICAIE 2021 ; : 53-57, 2021.
Article in English | Scopus | ID: covidwho-1462623
ABSTRACT
Artificial intelligence constantly puts forward new and sensitive requirements for the knowledge transmission of law discipline, focusing on the development and reform of legal education mode in the era of artificial intelligence, and realizing the perfect integration of artificial intelligence and law. The network teaching caused by novel coronavirus epidemic is changing the teaching methods of teachers and the learning methods of students, especially the influence on the education mode of law major. In the era of artificial intelligence, legal talents should pay close attention to the social reality and actively respond to the great challenges and opportunities given by artificial intelligence and other emerging technologies. With the popularization of network education, its own shortcomings have gradually emerged. This paper investigates the views of law students on the network teaching effect of law major in the era of artificial intelligence through questionnaire survey, and summarizes the survey data to find out the shortcomings of the network teaching model. Aiming at the existing problems, this paper puts forward some innovative strategies, such as establishing a normal crisis coping mechanism, selecting ways to stimulate students' interest in learning and implementing teaching, and establishing a diversified teaching system, in the hope of improving the online teaching of law major. © 2021 IEEE.

Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2nd International Conference on Artificial Intelligence and Education, ICAIE 2021 Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2nd International Conference on Artificial Intelligence and Education, ICAIE 2021 Year: 2021 Document Type: Article