公开(公告)号：US20230070427A1

公开(公告)日：2023-03-09

申请号：US17681555

申请日：2022-02-25

申请人： CHONGQING UNIVERSITY ,  STAR INSTITUTE OF INTELLIGENT SYSTEMS ,  DB (CHONGQING) INTELLIGENT TECHNOLOGY RESEARCH INSTITUTE CO., LTD ,  UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA

发明人： YONGDUAN SONG ,  FENG YANG ,  RUI LI ,  HONGYU XIA ,  QIN CHEN ,  SHICHUN WANG ,  LIANGJIE LI ,  HAOYUAN ZHONG

IPC分类号： G06N20/00 ,  G09B19/00

摘要： The present disclosure provides a student performance evaluation method and system based on artificial intelligence (AI) identification data, and relates to the field of intelligent education. A lightweight network model suitable for student performance evaluation takes the AI identification data as an input and evaluation results as an output. A training data generation algorithm is provided, and multidimensional AI identification data and labels are uniformly processed into training data suitable for the network model through the above algorithm, which can solve the problems that dimensions between any AI identification data and various labels are not uniform, and original data cannot meet training of a multidimensional and cross-time prediction model. A simulated data generation algorithm and a simulated label generation algorithm are provided, and simulated training data is generated using these algorithms in conjunction with the training data generation algorithm.