Research on the Factors Influencing the Performance of the Art College Entrance Examination Based on Artificial Intelligence Technology
- DOI
- 10.2991/978-94-6463-040-4_90How to use a DOI?
- Keywords
- The art exam; Data science; Admission strategy; Art colleges; Artificial intelligence
- Abstract
The application of artificial intelligence technologies has influenced many aspects of education, including the learning style of students, the teaching of education faculty, and the administration of colleges. However, the research focusing on the art college entrance examination in China is limited, and the research methods are somehow outdated. This article will introduce the state-of-the-art classifying methods for modeling the imbalanced data sets (Imbalanced-Ensemble) and some popular interpretation tools (Permutation Importance and SHAP) to analyze the details of the influencing factors of the art exam performances and NCEE performances of students from one of the most famous art colleges in China: Beijing Film Academy. Many important supplementary data collected manually from the website also play an important role in modeling and interpretation. The conclusions of this article will help more students to make more wise decisions when applying to schools and will help the policymakers of schools to adjust the details of the art exam for promoting the development of the admission of higher education of art.
- 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 - Mengying Ma PY - 2022 DA - 2022/12/27 TI - Research on the Factors Influencing the Performance of the Art College Entrance Examination Based on Artificial Intelligence Technology BT - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022) PB - Atlantis Press SP - 590 EP - 603 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-040-4_90 DO - 10.2991/978-94-6463-040-4_90 ID - Ma2022 ER -