Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)

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Online and Offline Blending Teaching Effect Evaluation Method – An Empirical Study on E-Commerce Logistics

Authors
Feng Zhao1, *, Xiaoqin Zhang1
1Neusoft Institute Guangdong, Shishang, Foshan, China
*Corresponding author. Email: zhaofeng@nuit.edu.cn
Corresponding Author
Feng Zhao
Available Online 26 September 2023.
DOI
10.2991/978-94-6463-238-5_94How to use a DOI?
Keywords
Blending teaching; online and offline; evaluation method
Abstract

In recent years, O2O blended teaching has been a teaching innovation model recommended by colleges and universities. However, how to improve the teaching effectiveness of this model is a problem worth thinking about. The object of this paper is to investigate the evaluation factors of the blended teaching effect. Further, improve the classroom teaching system. This paper evaluates the teaching effect from three aspects: Online learning, Implementation of teaching, and After-school survey. In addition, we have carried out a detailed analysis of each factor and determined the secondary indicators. We choose chromatography analysis as the calculation method of evaluation factors. The course “E-commerce Logistics” is the course of our teaching effect evaluation. The survey objects are all teachers of this course. Based on the empirical analysis, we determined the weights of the three indicators, which were respectively 0.24, 0.55, and 0.21. Teaching implementation is an important aspect of teaching effect evaluation. And we calculate the weight of the secondary index. The results showed that Classroom activity was regarded as the biggest influence on the teaching effect, with a weight of 0.251. Of course, the weight of other indicators is also explained in this paper.

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.

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Volume Title
Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)
Series
Advances in Intelligent Systems Research
Publication Date
26 September 2023
ISBN
10.2991/978-94-6463-238-5_94
ISSN
1951-6851
DOI
10.2991/978-94-6463-238-5_94How to use a DOI?
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

risenwbib
TY  - CONF
AU  - Feng Zhao
AU  - Xiaoqin Zhang
PY  - 2023
DA  - 2023/09/26
TI  - Online and Offline Blending Teaching Effect Evaluation Method – An Empirical Study on E-Commerce Logistics
BT  - Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)
PB  - Atlantis Press
SP  - 721
EP  - 728
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-238-5_94
DO  - 10.2991/978-94-6463-238-5_94
ID  - Zhao2023
ER  -