Research on Student Management Platform Based on Big Data Under Low-Carbon Environment

Abstract

This paper makes a comprehensive investigation on the development and implementation of low-carbon student management platform in educational institutions. The platform adopts advanced information technology, including cloud computing and big data analysis, aiming at solving urgent environmental problems by analyzing the dynamic learning data and daily behavior data of college students. The implementation of the platform has greatly reduced carbon emissions, especially greenhouse effect variables and dormitory electricity consumption. The observed impact highlights the effectiveness of using academic management platform to promote carbon emission reduction. However, this study acknowledges the existing limitations and predicts the long-term challenges, and emphasizes the need for continuous innovation and research in the intersection of artificial intelligence and environmental sustainable development. Generally speaking, the development and deployment of low-carbon student management platform is a key step to promote the sustainable development of educational environment.