Big Data Processing and Intelligent Analysis System for Students’ Learning State Based on PaddlePaddle

Abstract

This paper studies the construction idea, method and process of an intelligent learning state analysis system on the background of big data acquisition and processing. Based on the software and hardware of Baidu PaddlePaddle, the intelligent subsystem of feature extraction, face recognition and learning state recognition in the process of teaching process is built. Based on the idea of distributed scalability, big data processing architecture for large-scale data acquisition, storage and analysis is designed. The actual scene shows that this is an intelligent system used for students learning state analysis, which is supported by big data processing, can quickly carry out the teaching attendance, examination verification and class state detection, and can be widely used in learning state analysis of all kinds of schools at all levels.