A Big Data Acquisition And Analysis Method for Student Behavior Based on Hybrid Positioning

Abstract

This topic is based on the hybrid positioning technology of Internet of Things wifi and satellite, researching the methods of big data collection, analysis and processing for students' behaviors in colleges and universities, and then using the classification statistics and logical reasoning to carry out artificial intelligence refining and pushing. The aim is to explore an accurate and real-time campus behavioral data system that is accessible to students, parents, and education management at all levels.