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International Journal of Frontiers in Engineering Technology, 2022, 4(6); doi: 10.25236/IJFET.2022.040607.

The Dynamic of Learning Innovation of College Students Based on Big Data Analysis


Liang Zhong

Corresponding Author:
Liang Zhong

Xi'an Urban Architectural College, Xi'an, 710114, Shaanxi, China


In the management of modern higher education, the level of information is improving year by year. Over the years, with the wide use of school network system and the accumulation of data in the main business system, the big data environment has gradually formed within the school. This paper will mainly explore the motivation of innovative learning for college students based on this big data environment. This paper mainly analyzes and studies the students' learning behavior data stored in the relevant business systems of colleges and universities, discusses the correlation between students' learning, life and psychology, excavates abnormal data, and makes full use of these analysis results. The purpose of this paper is to use big data related technology to analyze and study students' learning and innovative behavior data in order to make full use of students' behavior data and provide the basis of data analysis for the overall development of students' moral and intellectual ability. This paper analyses the practical ability of college students' innovation from the perspective of colleges and universities in this province, in order to explore the reference significance for the cultivation of college students' innovative practical ability in China. The experimental research shows that 32.3% of the junior students hope to improve their practical ability during college.26.3% hope to master solid professional knowledge. The school should cooperate actively to create an environment for students to improve their learning innovation ability.


Big Data Analysis, College Students, Learning Motivation, Innovation Motivation

Cite This Paper

Liang Zhong. The Dynamic of Learning Innovation of College Students Based on Big Data Analysis. International Journal of Frontiers in Engineering Technology (2022), Vol. 4, Issue 6: 44-49. https://doi.org/10.25236/IJFET.2022.040607.


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