| "Digital transformation of education" is the development trend of educational innovation and reform in the future.Currently,artificial intelligence education application scenarios are applied to four categories: teaching and management scenarios for educators,learning and examination scenarios for learners.Exams are an important part of education,and the success or failure of exam design will directly affect the quality of education.In the context of the external pressure of the COVID-19,the enrollment work of the art school has changed from field examination to online remote examination.The examination of the art school has its particularity in terms of examination content,examination environment,examination discipline management,etc.,which puts forward higher requirements for the work of examiners.The invigilating equipment and system must be changed to improve the examination enrollment method and maintain the fairness and justice of the examination.The specific research content of this article is as follows:(1)Clarify the current work content and long-term problems of the China Academy of Fine Arts enrollment examination.This article selects invigilators as the core users,uses observation methods,on-site research methods,and questionnaire surveys to investigate the current situation of online remote art exams,and analyzes the survey results.It was found that during the invigilation process,there were phenomena such as the inability of examination staff to pay real-time attention to 24 candidates,inadequate detection of real-time changes in the examination environment,and the huge workload of examination staff leading to low invigilation efficiency and frequent cheating.These phenomena reflect that the current network remote art examination mechanism still needs improvement and improvement.(2)Construct the examination system and explore the relationship between the Mechanical floor and the data layer.Due to its concept of full process,full cycle,and full factor,and as a technology that fully utilizes models,data,intelligence,and integrates multiple disciplines,digital twins can provide more real-time,efficient,and intelligent services.Therefore,research is focused on the issue of "how to construct a network remote art examination system from the perspective of digital twins to promote the effective implementation of the examination".Firstly,the system framework is designed to explore the hierarchical relationships between the invigilator end,the physical examination venue end,the twin model of the examination venue,and the data management center platform.Then,a five dimensional conceptual model of the twin in the remote art examination venue is constructed,which serves the entire process of the examination system.(3)Complete the design practice of the online remote art examination system.The application of digital twin fusion related biometric recognition methods and virtual simulation models to construct a network remote art examination system from the perspective of digital twin aims to fully utilize the model,data,and integrate biometric recognition technology to assist invigilators in real-time monitoring the behavior recognition of 24 candidates,real-time changing exam environment,candidate identity verification,intelligent voice transmission of exam instructions,etc,Effectively improve the quality and efficiency of invigilation.Specifically,it includes examination service process design,invigilation hardware product design and product packaging design,and examination system interface design.Finally,using the Wizard of Oz MVP testing method,a minimum feasibility test was simulated to verify the feasibility of the scheme.In the current stage of art exams,there is relatively little systematic research and the use of intelligent devices related to it.The deep analysis and integration of the digital twin five dimensional model and network remote art exam methods provide one of the reference ideas for the construction of the art network remote exam system in the field of exam enrollment,and also enrich the practical application of digital twins in the field of education. |