Proceedings of the 2024 5th International Conference on Big Data and Informatization Education (ICBDIE 2024)

Research on Factors Influencing Satisfaction with Practical Teaching of Information and Communication Technology Majors Based on Regression Models

Authors
Ke Zhao1, Liyuan Cai2, Yanan Miao1, *
1Chengdu Technological University, Department of Network and Communication Engineering, Chengdu, China
2Chengdu Technological University, Department of Big Data and Artificial Intelligence, Chengdu, China
*Corresponding author. Email: miaoyanan33@163.com
Corresponding Author
Yanan Miao
Available Online 7 May 2024.
DOI
10.2991/978-94-6463-417-4_6How to use a DOI?
Keywords
Talent cultivation; Practical teaching; Student satisfaction; Lasso regression analysis
Abstract

Starting from the cultivation of information and communication technology talents in universities, the main influencing factors of the data are analyzed by proposing research hypotheses, conducting questionnaire surveys and collecting survey data to develop scales and adopt principal component analysis and Lasso regression in this paper. The correlation existing in the main factors is demonstrated by Pearson Correlation Analysis to verify the main factors influencing student satisfaction in professional practice teaching in the cultivation of information and communication technology talents. The results show that practical teaching objectives, practical teaching design, practical teaching implementation, and practical teaching feedback evaluation are the main factors affecting student satisfaction with practical teaching. This paper proposes some suggestions to improve the satisfaction of professional practice teaching based on the educational theory. Suggestions for improving the satisfaction of professional practical teaching are proposed from the aspects of closely integrating industry talent cultivation standards, taking students as the teaching center, strengthening student professional cognitive education, and establishing collaborative education mechanisms.

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.

Download article (PDF)

Volume Title
Proceedings of the 2024 5th International Conference on Big Data and Informatization Education (ICBDIE 2024)
Series
Advances in Intelligent Systems Research
Publication Date
7 May 2024
ISBN
978-94-6463-417-4
ISSN
1951-6851
DOI
10.2991/978-94-6463-417-4_6How 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  - Ke Zhao
AU  - Liyuan Cai
AU  - Yanan Miao
PY  - 2024
DA  - 2024/05/07
TI  - Research on Factors Influencing Satisfaction with Practical Teaching of Information and Communication Technology Majors Based on Regression Models
BT  - Proceedings of the 2024 5th International Conference on Big Data and Informatization Education (ICBDIE 2024)
PB  - Atlantis Press
SP  - 57
EP  - 65
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-417-4_6
DO  - 10.2991/978-94-6463-417-4_6
ID  - Zhao2024
ER  -