Quantitative Evaluation and Targeted Optimization of the Implementation Effect of College Student Financial Aid Policy Based on Transformer Algorithm

DOI

10.2991/978-2-38476-440-2_174How to use a DOI?

Keywords

Transformer Algorithm; College student financial aid policy; Quantitative evaluation; Data preprocessing; Model design; Optimization strategy

Abstract

This study aims to use Transformer algorithm to quantitatively evaluate the implementation effect of college student financial aid policy. First, the limitations of existing evaluation methods are analyzed, and the application potential of Transformer algorithm in data analysis is discussed. The basic architecture of the Transformer model and its successful cases in natural language processing are then introduced in detail, along with the possibility of its application to non-text data. The study further involves data collection and preprocessing, including steps such as data sources, feature selection, and data cleaning. In the model design and implementation section, this study adjusted the evaluation model based on the Transformer architecture and discussed feature engineering and training strategies. Through experimental setup and result analysis, the performance of different models was compared, and the experimental results were interpreted and discussed. Finally, based on the evaluation results, suggestions for targeted optimization strategies are put forward, including improvement measures, personalized support programs and issues that policy makers should pay attention to.

Copyright

© 2025 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  - Weiguo Li
AU  - Jie Tang
PY  - 2025
DA  - 2025/07/10
TI  - Quantitative Evaluation and Targeted Optimization of the Implementation Effect of College Student Financial Aid Policy Based on Transformer Algorithm
BT  - Proceedings of the 2025 11th International Conference on Humanities and Social Science Research（ICHSSR 2025)
PB  - Atlantis Press
SP  - 1565
EP  - 1573
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-440-2_174
DO  - 10.2991/978-2-38476-440-2_174
ID  - Li2025
ER  -