实验"全流程"数智化管理的探索与实践OA

In the era of digital intelligence,new requirements have been put forward for the comprehensive quality evaluation of higher education.Based on the background of information science experimental teaching,an experimental teaching information management platform integrating Artificial Intelligence technology has been constructed,aiming to achieve multi-dimensional,process-oriented and scientific teaching evaluation.The paper firstly analyzes the problems of low management efficiency in current experimental teaching,and proposes a front-end and back-end separation platform based on Vue and Spring Boot frameworks.This platform integrates DeepSeek AI intelligent Q&A,SimHash text plagiarism detection,automated report generation,and Echarts data visualization,supporting full process digital management of pre experiment preparation,experiment process monitoring,and post experiment evaluation feedback.This platform not only improves the efficiency and standardization of teaching process management,but also achieves personalized learning support and scientific evaluation through AI technology,providing certain reference significance for the digital transformation of experimental teaching in universities.