Research and Development of Learning Early Warning System Based on Artificial Intelligence Technology

Abstract

Aiming at the current situation of staff shortage and low efficiency in learning quality assessment, this research conducted in-depth research on artificial intelligence and data analysis technology, and designed an intelligent and automated learning quality analysis and early warning system. The system is divided into four functional modules: evaluation index management, evaluation management, result management and system management, which can complete the questionnaire design intelligently and quickly according to the evaluation index. After the user completes the entry of the evaluation results, the system database can quickly generate data tables, use the embedded analytic hierarchy process algorithm module to sort out the evaluation index system, and finally use the artificial neural network model to get the evaluation results. The system has complete functions and simple interaction, which can greatly improve the efficiency of learning quality evaluation.