Construction of Quantitative Assessment System and Optimization of Personalized Planning Strategy for College Students’ Competition Development Based on Transformer Algorithm

Zeseng Mao (), Weiguo Li (), Chengying Fang () and Liang Chen ()
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Zeseng Mao: Guangdong University of Science and Technology
Weiguo Li: Guangdong University of Science and Technology
Chengying Fang: Guangdong University of Science and Technology
Liang Chen: Guangdong University of Science and Technology

A chapter in Proceedings of the 2025 3rd International Academic Conference on Management Innovation and Economic Development (MIED 2025), 2025, pp 911-921 from Springer

Abstract: Abstract The purpose of this paper is to construct a set of quantitative assessment system for competition development of college students based on Transformer algorithm. It first analyzes the importance of college students’ participation in competitions and the current status of the application of Transformer algorithm in the field of education, and summarizes the research progress of related work. Subsequently, the data collection and processing methods are elaborated in detail, including data sources, preprocessing techniques and so on. In the model design and implementation section, the underlying principles of the Transformer architecture and the specific adjustments for competition assessment are introduced. Through experimental design and result analysis, the performance of the proposed system is verified and the comparative advantages with existing solutions are demonstrated. Finally, the main findings are summarized, application prospects are predicted, and future research directions are suggested.

Keywords: transformer algorithm; university student competition; quantitative evaluation system; data collection and processing; model design; experimental design; performance evaluation (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-835-6_97

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DOI: 10.2991/978-94-6463-835-6_97

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