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

Construction and Practice of Mixed Teaching Mode of Chemistry in Colleges and Universities Based on Big Data Analysis

Authors
Tao Jiang1, Wei Hu1, Lina Wei1, *, Changhao Yao1, Li Bai1, Lina Zhao1
1East University of Heilongjiang, Harbin, 150080, Heilongjiang, China
*Corresponding author. Email: 59711256@qq.com
Corresponding Author
Lina Wei
Available Online 26 September 2023.
DOI
10.2991/978-94-6463-238-5_63How to use a DOI?
Keywords
Big data analysis; Chemistry; Mixed teaching mode; Python; Computer software application
Abstract

The single online teaching lacks the analysis and processing of a large number of students’ complex learning behavior data, so that the evaluation of learning effect is scientific and operability. In this regard, this paper takes the chemistry major in colleges and universities as the research object, and with the help of the characteristics of big data analysis technology and computer software application technology, completes the function optimization of network teaching platform and improves the teaching effect of mixed teaching mode. The online teaching platform of chemistry course belongs to B/S architecture. The front-end interactive interface is designed by React framework, and the back-end server is built by Django framework. For the analysis and processing of students’ learning behavior data, we need to use Pandas, NumPy, Matplotlib and other class libraries in Python language to complete data preprocessing, analysis model construction and data visualization in turn. After simulation test, the platform can combine the process evaluation with the traditional summative evaluation, make up for the shortcomings of online teaching, and promote the application of mixed teaching mode in college chemistry teaching practice.

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
978-94-6463-238-5
ISSN
1951-6851
DOI
10.2991/978-94-6463-238-5_63How 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

TY  - CONF
AU  - Tao Jiang
AU  - Wei Hu
AU  - Lina Wei
AU  - Changhao Yao
AU  - Li Bai
AU  - Lina Zhao
PY  - 2023
DA  - 2023/09/26
TI  - Construction and Practice of Mixed Teaching Mode of Chemistry in Colleges and Universities Based on Big Data Analysis
BT  - Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)
PB  - Atlantis Press
SP  - 449
EP  - 453
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-238-5_63
DO  - 10.2991/978-94-6463-238-5_63
ID  - Jiang2023
ER  -