The research on AI-Assisted development of personalized training programs for college students

With the rapid development of society and economy, the demand for personalized training programs for college students has increased, particularly for interdisciplinary foreign language talents. This study explores the role of artificial intelligence (AI) in developing personalized training programs, focusing on its ability to offer customized learning paths, real-time feedback, and dynamic adjustments. The findings highlight how AI can enhance students’ independent learning capabilities, address diverse learning needs, and help universities optimize their curricula. However, challenges such as equity, privacy protection, and the need for teacher- student collaboration remain. The study concludes that AI can significantly improve education quality when implemented with clear guidelines, emphasizing educational goals, fairness, and transparent feedback systems.

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Publication Details

Journal
SHS Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/shsconf/202522201005
Primary Topic
Educational and Psychological Assessments
Type
article
Field-Weighted Citation Impact
0.00
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article

The research on AI-Assisted development of personalized training programs for college students

Yifan Bai
SHS Web of Conferences
Educational and Psychological Assessments
article

The research on AI-Assisted development of personalized training programs for college students

Yifan Bai
article en

Abstract

With the rapid development of society and economy, the demand for personalized training programs for college students has increased, particularly for interdisciplinary foreign language talents. This study explores the role of artificial intelligence (AI) in developing personalized training programs, focusing on its ability to offer customized learning paths, real-time feedback, and dynamic adjustments. The findings highlight how AI can enhance students’ independent learning capabilities, address diverse learning needs, and help universities optimize their curricula. However, challenges such as equity, privacy protection, and the need for teacher- student collaboration remain. The study concludes that AI can significantly improve education quality when implemented with clear guidelines, emphasizing educational goals, fairness, and transparent feedback systems.

SHS Web of ConferencesVol. 222
Xi'an International Studies University (CN)
Openalex Percentile: Top 73%
Educational and Psychological Assessments
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The research on AI-Assisted development of personalized training programs for college students — Yifan Bai · SHS Web of Conferences (2025) | TGRS Research Map | TGRS