Analysis Based on Structural Equation and Decision Tree Model of Higher Vocational Students’ Learning Satisfaction Under Blended Learning

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DOI

10.2991/978-94-6463-192-0_32How to use a DOI?

Keywords

structural equation; decision tree; blended learning; learning satisfaction; higher vocational students

Abstract

Based on the theory of customer satisfaction, this paper analyzes the status of students’ learning satisfaction and explores the factors that affect learning satisfaction by constructing the structural equation and decision tree model under blended learning. The results show that in the blended learning practice, students’ learning satisfaction is significantly affected by teacher image and platform support. The empirical conclusions obtained from this study have important value for improving learning satisfaction.

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  - Jing Wang
PY  - 2023
DA  - 2023/07/04
TI  - Analysis Based on Structural Equation and Decision Tree Model of Higher Vocational Students’ Learning Satisfaction Under Blended Learning
BT  - Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023)
PB  - Atlantis Press
SP  - 228
EP  - 235
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-192-0_32
DO  - 10.2991/978-94-6463-192-0_32
ID  - Wang2023
ER  -