Research on the experimental principle of deep integration of LETS software and criminal procedure under the background of artificial intelligence

• Autores: Yao Liu
• Localización: Applied Mathematics and Nonlinear Sciences, ISSN-e 2444-8656, Vol. 8, Nº. 1, 2023, págs. 2695-2704
• Idioma: inglés
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• Resumen

  • The teaching of law courses in Legal Experimental Teaching System (LETS) enables students to have a clearer under-standing of the litigation process, master the format and production of various criminal litigation legal documents and traintheir communication and collaboration skills in litigation by cooperating to complete the experimental process. However,there are some shortcomings in experimental teaching using the LETS system, such as teachers being unable give real-timeguidance and unable to reflect the principle of direct speech in litigation. Given these problems, this paper proposes aframework for the deep integration of LETS software and criminal litigation under the background of artificial intelligence(AI). First, it introduces the current situation and development of criminal litigation under the background of AI. Then, aset of AI parameters is designed based on the background of LETS software and criminal proceedings deep integrationframework, and at the same time, the framework is used for intelligent learning criminal proceedings. The experimentalresults show that LETS software can better match the algorithm of the AI environment to push personalised criminal pro-cedure learning courses. The experiment also shows that this framework can provide new ideas and development for thefuture study of criminal procedure