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

Using Origin Correlation Analysis to Study the Training Mode of Applied Talents Under the Background of “New Engineering”

Authors
Zhuangzhuang Qu1, *, Baojun Liu1, Chuanxun Che1
1School of Energy and Civil Engineering, Shandong Huayu University of Technology, Dezhou, China
*Corresponding author. Email: qzz@huayu.edu.cn
Corresponding Author
Zhuangzhuang Qu
Available Online 23 December 2022.
DOI
10.2991/978-94-6463-034-3_104How to use a DOI?
Keywords
New engineering; Undergraduate colleges; Applied technology; Information science; Talent training model
Abstract

With the continuous development of the information age, higher requirements are put forward for talent training. In order to better meet the development needs of the times, this paper takes the talent training of Application-oriented Undergraduate Colleges as the research theme, tests the effectiveness of the research data of the questionnaire, and establishes a data fusion innovation ability model for empirical analysis. This paper analyzes the four key abilities of independent learning, engineering practice, integrated innovation and green development required by the new generation of information technology industry, and clarifies the problems and challenges faced by talent training. Through the correlation analysis and regression analysis of Origin software, the following research conclusions are obtained: the correlation coefficient between autonomous learning ability and professional ability is 0.075, which is significant at the 10% significance level, indicating that there is a significant positive correlation between autonomous learning ability and professional ability. Therefore, under the background of “new engineering”, we should formulate a more scientific and reasonable plan from the aspects of students’ autonomous learning ability and innovation ability. Cultivating high-level information technology talents needs to master the necessary information ability.

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_104
ISSN
2589-4900
DOI
10.2991/978-94-6463-034-3_104How 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

TY  - CONF
AU  - Zhuangzhuang Qu
AU  - Baojun Liu
AU  - Chuanxun Che
PY  - 2022
DA  - 2022/12/23
TI  - Using Origin Correlation Analysis to Study the Training Mode of Applied Talents Under the Background of “New Engineering”
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
PB  - Atlantis Press
SP  - 1015
EP  - 1023
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-034-3_104
DO  - 10.2991/978-94-6463-034-3_104
ID  - Qu2022
ER  -