Analysis of the Impact of Artificial Intelligence on College Students’ Learning under the Background of New Quality Productivity--Taking K University as an Example

DOI

10.2991/978-94-6463-568-3_32How to use a DOI?

Keywords

Artificial intelligence; AHP; Entropy weight method; Subjective objective comprehensive evaluation

Abstract

In the context of the era of new quality productivity, the artificial intelligence industry is developing rapidly, in order to further explore the impact of artificial intelligence on students in Xinjiang universities. This article takes K University students as the research object, constructs a subjective and objective evaluation model combining Analytic Hierarchy Process and Entropy Weight Method based on the data obtained from a questionnaire survey, and conducts research. Research has found that the impact of artificial intelligence on men is greater than on women; Artificial intelligence has the greatest impact on art, followed by science and engineering and management, with the least impact on cultural and historical fields; Compared to other grades, juniors and freshmen are more interested in artificial intelligence; Artificial intelligence has a significant impact on quiet and firm personalities. Boys in the fields of literature, history, and management are less affected by artificial intelligence than girls, and girls with all personalities are more susceptible to the influence of artificial intelligence compared to boys. The trend of students in science and engineering and management majors being affected is similar, with a smaller impact in their freshman and senior years, and a greater impact in their sophomore and junior years. Students with gentle personalities in various majors are not significantly affected by artificial intelligence. Based on the analysis results, propose corresponding policies and suggestions for enterprises, schools, and governments.

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.

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TY  - CONF
AU  - Hao Chen
AU  - Xinya Zhang
AU  - Yixin Li
AU  - Jinglin Zhong
AU  - Abdul Aizezi Maitiniyazi
AU  - Lu Zhang
AU  - Zixing Tang
PY  - 2024
DA  - 2024/11/27
TI  - Analysis of the Impact of Artificial Intelligence on College Students’ Learning under the Background of New Quality Productivity--Taking K University as an Example
BT  - Proceedings of the 2024 5th International Conference on Modern Education and Information Management (ICMEIM 2024)
PB  - Atlantis Press
SP  - 257
EP  - 268
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-568-3_32
DO  - 10.2991/978-94-6463-568-3_32
ID  - Chen2024
ER  -