Combining Big Data Analysis to Study the Autonomous Learning Ability of Higher Vocational Colleges

DOI

10.2991/978-94-6463-058-9_162How to use a DOI?

Keywords

Big data; Higher vocational students; Autonomous learning; Management strategy

Abstract

Nowadays, driven by the rapid development of China's economy, the level of science and technology has also been significantly improved. Big data has begun to develop in a new direction and entered the era of big data. It is also a trend to combine the development of big data with education. At present, the study diversification, the colleges and universities for class, class, flip the incoming class, autonomous learning and their own development needs of higher vocational students, but the lack of traditional learning to cultivate students' autonomous learning ability, therefore, in the big data environment, how to improve the teaching in colleges and universities management strategies to improve their autonomous learning ability and improve the students' learning efficiency is imminent. On the basis of the research status at home and abroad, this study on the development of big data and study of the influence of the higher education teaching reform, and based on some universities in Zhejiang, 100 students and 4 teachers through the way of questionnaire survey and in-depth interviews, to understand the status quo of students' autonomous learning and the era of big data problems, Finally, management strategies are proposed from learners, learning guides and schools to further optimize the current management strategies of independent learning for vocational students in colleges and universities, and improve the learning efficiency of vocational students in network independent learning.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Wang Li
PY  - 2022
DA  - 2022/12/27
TI  - Combining Big Data Analysis to Study the Autonomous Learning Ability of Higher Vocational Colleges
BT  - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)
PB  - Atlantis Press
SP  - 1035
EP  - 1040
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-058-9_162
DO  - 10.2991/978-94-6463-058-9_162
ID  - Li2022
ER  -