Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)

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Research on Informatization of Classroom Teaching Based on Learning Data Analysis

Authors
Ning Xie1, Qiang Li1, *, Li Xiong2, Dashan Li3
1College of Civil Engineering and Architecture, Zhejiang University of Water Resources and Electric Power, Hangzhou, China
2Zhejiang New Oriental Training School Co., Ltd., Hangzhou, China
3Beijing Foreign Studies University, Beijing, China
*Corresponding author. Email: 229665237@qq.com
Corresponding Author
Qiang Li
Available Online 23 December 2022.
DOI
10.2991/978-94-6463-034-3_56How to use a DOI?
Keywords
Engineering education; Newly-built application-oriented university; Teaching improvement model; Data collection; Behavior analysis; Teaching applications
Abstract

In order to improve the learning quality of newly-built application-oriented college students, a three-level classroom teaching improvement model based on learning data analysis is proposed. Three levels are data collection, behavior analysis, and teaching applications.142 students from the engineering college of a newly-built newly-built application-oriented university by means of network survey tool were investigated. The results show that the importance of the course is directly related to the learning difficulty. Meanwhile, the more important the course is, the greater the learning difficulty is. Students have different difficulties when learning courses and more than 70% of students think they cannot use the knowledge they have learned to solve practical problems. More than 75% of the students believe that there are effective measures to improve curriculum teaching, such as using modern technology to assist teaching, innovating teaching devices, and reforming teaching methods to stimulate students’ activity. On the basis of investigation and analysis, some advices about teaching reform are put forward.

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 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
23 December 2022
ISBN
10.2991/978-94-6463-034-3_56
ISSN
2589-4900
DOI
10.2991/978-94-6463-034-3_56How 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  - Ning Xie
AU  - Qiang Li
AU  - Li Xiong
AU  - Dashan Li
PY  - 2022
DA  - 2022/12/23
TI  - Research on Informatization of Classroom Teaching Based on Learning Data Analysis
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
PB  - Atlantis Press
SP  - 546
EP  - 554
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-034-3_56
DO  - 10.2991/978-94-6463-034-3_56
ID  - Xie2022
ER  -