Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)

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Construction of Big Data Analysis Model for High School Students' Career Planning Interest Events Based on Weight Algorithm

Authors
Xin Zhao1, *, Lunjun Cheng2
1Dean’s Office Undergraduate admissions office, University of Electronic Science and Technology of China, Chengdu, China
2College Entrance Examination Planning Research Institute, China
*Corresponding author. Email: zx@uestc.edu.cn
Corresponding Author
Xin Zhao
Available Online 30 December 2022.
DOI
10.2991/978-94-6463-108-1_60How to use a DOI?
Keywords
Career Planning; Interest; Weight Algorithm; Big Data Analysis Model
Abstract

Interest is one of the most important factors in senior high school students' career planning, which is related to the accuracy of senior high school students' career planning conclusions. At present, Holland Interest Assessment is the most commonly used tool for senior high school students' interests. However, senior high school students are often difficult to devote themselves to the assessment, which often leads to some deviation in the results. Based on this, this paper uses the principle of Xiangyang's career interest event analysis method for reference, introduces the structure of weight algorithm and big data analysis model, and constructs a big data analysis model of high school students' career planning interest events, which provides an effective reference for analyzing interest factors in the process of high school students' career planning.

Copyright
© 2022 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 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
Series
Advances in Computer Science Research
Publication Date
30 December 2022
ISBN
10.2991/978-94-6463-108-1_60
ISSN
2352-538X
DOI
10.2991/978-94-6463-108-1_60How to use a DOI?
Copyright
© 2022 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  - Xin Zhao
AU  - Lunjun Cheng
PY  - 2022
DA  - 2022/12/30
TI  - Construction of Big Data Analysis Model for High School Students' Career Planning Interest Events Based on Weight Algorithm
BT  - Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
PB  - Atlantis Press
SP  - 526
EP  - 532
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-108-1_60
DO  - 10.2991/978-94-6463-108-1_60
ID  - Zhao2022
ER  -