Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)

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Development of College Entrance Examination Voluntary Application Assistant System Based on Big Data Technology

Authors
Haidong Yang1, 2, *
1Philippine Christian University Center for International, Education, Manila, 0900, Philippines
2Nanchang Institute of Technology, Nanchang, Jiangxi, 330044, China
*Corresponding author. Email: xdfc8562@126.com
Corresponding Author
Haidong Yang
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-040-4_163How to use a DOI?
Keywords
Big data technology; voluntary filling auxiliary system
Abstract

The reform of college entrance examination is a major measure of the reform of talent selection mechanism. It not only pays attention to the comprehensive quality of students and respects the right of students to choose independently, but also brings difficulties for examinees and families to fill in the application for college entrance examination. It has become the focus of social attention how to make full use of big data in previous years to guide voluntary application and reduce the difficulty of voluntary application through intelligence. In this context, it is particularly important to design and manage the voluntary filling system based on the new college entrance examination reform. In order to enable the examinees to make a comprehensive reference to the scores and rank of each university and major over the years, to better position their own scores, and then rationally select majors and college aspirations, and increase the chances of being admitted to the ideal university and major, it is necessary to refer to the intelligent voluntary application decision-making system based on big data. This paper mainly describes the development and research of the college entrance examination voluntary filling assistant system based on big data technology, aiming at strengthening students’ attention to the college entrance examination voluntary filling and helping students make comparison and decision-making.

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 Artificial Intelligence and Education (IC-ICAIE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
978-94-6463-040-4
ISSN
2589-4900
DOI
10.2991/978-94-6463-040-4_163How 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  - Haidong Yang
PY  - 2022
DA  - 2022/12/27
TI  - Development of College Entrance Examination Voluntary Application Assistant System Based on Big Data Technology
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 1084
EP  - 1089
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_163
DO  - 10.2991/978-94-6463-040-4_163
ID  - Yang2022
ER  -