A School Precaution System Based on Transformer Model
Learning situation warning is an important component of student management work and an important reference for daily teaching management and teaching reform.At present,the main problem facing the early warning of academic situation is the incomplete evaluation of academic situation and the untimely warning.This article proposes a learning situation early warning system based on the Transformer model,which is divided into three parts:data storage,prediction system,and visualization interface.Data storage extracts relevant data into a data warehouse through ETL tools;The prediction system uses the Transformer model to predict the course grades of this semester based on student historical data and risk index;The visualization interface layers and displays the warning results.Through experimental verification,the accuracy of the system can meet the usage needs,enabling relevant personnel to timely and comprehensively understand the learning status of students and carry out related work.
school precautionTransformergrade predictioneducational data-mining
NETL
NSTL
万方数据
