Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)

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Teaching Effect Evaluation of BTEC Mode Based on Big Data Analysis

Authors
Xuedong LIN1, *, Cheng PANG1, Xianzhang ZHOU2
1School of Intelligent Manufacturing & Transportation, Chongqing Vocational Institute of Engineering, Chongqing, P.R. China
2Chongqing Academy of Education Science, Chongqing, P.R. China
*Corresponding author. Email: 181810052@qq.com
Corresponding Author
Xuedong LIN
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-058-9_144How to use a DOI?
Keywords
Tearning effect evaluation; Big data analysis Elasticsearch; Course homework inspection system; BTEC Teaching Mode; Big data analysis
ABSTRACT

In order to realize the accuracy and reliability of tearning effect evaluation, we have built a big data platform, which uses the PHP API of Elasticsearch to realize data storage operation and data aggregation analysis. The operation of Elasticsearch is based on RESTful Web interface, and the visual analysis effect is built by using Larvel5 framework. The data format submitted and returned by the interface is JSON. Based on the visual analysis technology of the platform, the teaching process of BTEC Teaching mode is analyzed from two aspects: the whole process data and the sampling data of individual homework. Based on this platform, a course homework inspection system based on sampling technology is designed. Through the data analysis of "comprehensive" + "spot check", the whole process control of teaching quality is realized. Teaching experiments show that the platform can visually analyze the different target values set in each stage of the whole process of the classroom, and carry out random homework sampling and analysis. On this platform, the learning effect of BTEC Teaching mode is analyzed to provide an effective basis for scientific decision-making and improving the effect of curriculum teaching reform.

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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Volume Title
Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)
Series
Advances in Computer Science Research
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-058-9_144
ISSN
2352-538X
DOI
10.2991/978-94-6463-058-9_144How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - Xuedong LIN
AU  - Cheng PANG
AU  - Xianzhang ZHOU
PY  - 2022
DA  - 2022/12/27
TI  - Teaching Effect Evaluation of BTEC Mode Based on Big Data Analysis
BT  - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)
PB  - Atlantis Press
SP  - 923
EP  - 928
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-058-9_144
DO  - 10.2991/978-94-6463-058-9_144
ID  - LIN2022
ER  -