Analysis of the ways to improve the teaching effect of live marketing courses
Authors
Mandan Cao1, *, Zhihua Gan1, Juan Cheng1
1Department of economic and social management, Maanshan Teacher’s College, Maanshan, 243041, China
*Corresponding author.
Email: 489451675@qq.com
Corresponding Author
Mandan Cao
Available Online 28 September 2023.
- DOI
- 10.2991/978-94-6463-264-4_86How to use a DOI?
- Keywords
- Live broadcast marketing course; Questionnaire; Principal component analysis; Spsspro
- Abstract
Based on the current situation of live broadcast marketing course, this study takes teachers and students in vocational colleges as the survey object, and uses principal component analysis (PCA) method to analyze the key factors affecting the satisfaction of live courses in higher vocational colleges to explore the ways to improve the teaching effect of live broadcast marketing course. This study provides a reference for improving the teaching effect of live broadcast marketing courses and helps innovating the training mode of e-commerce, marketing and other related majors in the future.
- Copyright
- © 2024 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.
Cite this article
TY - CONF AU - Mandan Cao AU - Zhihua Gan AU - Juan Cheng PY - 2023 DA - 2023/09/28 TI - Analysis of the ways to improve the teaching effect of live marketing courses BT - Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023) PB - Atlantis Press SP - 747 EP - 753 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-264-4_86 DO - 10.2991/978-94-6463-264-4_86 ID - Cao2023 ER -