Constructing and Testing AI International Legal Education Coupling-Enabling Model

Yunyao Wang and Shudong Yang ()
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Yunyao Wang: School of Law, Chongqing University, Chongqing 400044, China
Shudong Yang: School of Law, Chongqing University, Chongqing 400044, China

Sustainability, 2024, vol. 16, issue 4, 1-16

Abstract: In this paper, we aim to assess the coupling capability of artificial intelligence in international legal education, delving into crucial aspects of its implementation and effectiveness. This paper constructs a coupling empowerment model of AI international legal education by using artificial intelligence technology. It also discusses the application of Pearson product–moment correlation coefficient in correlation analysis, the implementation of AI knowledge mapping in the help of intelligent parents, and the application of BP neural algorithm in artificial neural networks in order to establish a cognitive student model. This teaching mode can provide personalized learning experience and intelligent teaching support and allow accurate assessment of students’ learning level and cognitive ability. The results show that the employment rate of students is increased from 75% to 100%, and the evaluation of practicability is maintained at 10 points. It proves that AI technology provides an innovative approach to international law education, which is expected to promote the efficient use of educational resources and improve students’ performance and employment rate.

Keywords: artificial intelligence; international legal education; backpropagation neural algorithm; learning behavior analysis; coupling-enabling model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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