Research on Evaluation of Classroom Teaching Quality in Vocational Colleges Based on Big Data Analysis

DOI

10.2991/978-94-6463-012-1_79How to use a DOI?

Keywords

K-Means Algorithm; Big Data Analysis; Evaluation of Classroom Teaching Quality

Abstract

With the development of China’s digital economy, China’s various undertakings are in an important stage of development and reform. In the aspect of education and teaching, the quality of classroom teaching plays an important role in evaluating the quality of teaching. Big data analysis is used to study the data of teachers’ classroom teaching quality in vocational colleges with the help of K-means clustering algorithm and SPSS analysis. The indicators that play a key role in classroom teaching quality are found in order to further improve the teaching quality.

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.

Download article (PDF)

TY  - CONF
AU  - Ting Deng
AU  - Guanghua Li
AU  - Jian Ye
PY  - 2022
DA  - 2022/12/09
TI  - Research on Evaluation of Classroom Teaching Quality in Vocational Colleges Based on Big Data Analysis
BT  - Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022)
PB  - Atlantis Press
SP  - 725
EP  - 733
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-012-1_79
DO  - 10.2991/978-94-6463-012-1_79
ID  - Deng2022
ER  -