Publisher:ISCCAC
Social, Historical and Cultural Investigation of Learning Burnout of Contemporary College Students Based on Big Data Analysis and Its Countermeasures
Authors
Jingjing Pei
Corresponding Author
Jingjing Pei
Publishing Date
27 July 2023
Keywords
Big data analysis, Learning burnout, Influencing factors.
Abstract
This paper uses big data analysis technology and learning burnout theory to investigate the learning burnout of 1000 students in a university and its influencing factors, and constructs a three-dimensional, ten-factor system for evaluation. The results show that learning burnout does exist, and the main factors affecting student learning burnout, from the perspective of socio-historical and cultural investigations, from strong to weak, are: personal and interpersonal factors, school factors, social factors and family factors.
Copyright
© 2023, the Authors. Published by ISCCAC
Open Access
This is an open access article distributed under the CC BY-NC license
