Artificial Intelligence Empowering the Path and Strategies for Full-Process Management of Scientific Research Secretaries in Secondary Colleges of Universities

Guihua Lin

doi:10.47297/taposatWSP2633-456901.20260705

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Artificial Intelligence Empowering the Path and Strategies for Full-Process Management of Scientific Research Secretaries in Secondary Colleges of Universities

7卷第5期

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Artificial Intelligence Empowering the Path and Strategies for Full-Process Management of Scientific Research Secretaries in Secondary Colleges of Universities
Artificial Intelligence Empowering the Path and Strategies for Full-Process Management of Scientific Research Secretaries in Secondary Colleges of Universities
School of Communication and Design, Longyan University, Longyan, Fujian, 364012, China
2026年7卷第5期页码：5-7
网络首发：2026-07-15，

纸质出版：2026-05-30
DOI：10.47297/taposatWSP2633-456901.20260705
Accepted：

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Guihua Lin. (2026). Artificial Intelligence Empowering the Path and Strategies for Full-Process Management of Scientific Research Secretaries in Secondary Colleges of Universities. 科技理论与实践（英文版）, 7(5), 5-7.

Lin Guihua.Artificial Intelligence Empowering the Path and Strategies for Full-Process Management of Scientific Research Secretaries in Secondary Colleges of Universities[J].Theory and Practice of Science and Technology,2026,07(05):5-7.
Guihua Lin. (2026). Artificial Intelligence Empowering the Path and Strategies for Full-Process Management of Scientific Research Secretaries in Secondary Colleges of Universities. 科技理论与实践（英文版）, 7(5), 5-7. DOI： 10.47297/taposatWSP2633-456901.20260705.

Lin Guihua.Artificial Intelligence Empowering the Path and Strategies for Full-Process Management of Scientific Research Secretaries in Secondary Colleges of Universities[J].Theory and Practice of Science and Technology,2026,07(05):5-7. DOI： 10.47297/taposatWSP2633-456901.20260705.

摘要

Abstract

Scientific research secretaries in secondary colleges of universities are often overwhelmed by daily trivial matters and low efficiency

failing to fully realize their role as full-time managers and service providers. The development of artificial intelligence technology offers a new way out for research secretaries. Based on an analysis of the job responsibilities and pain points of research secretaries

this paper proposes a full-factor

full-process management pathway empowered by AI: automated burden reduction

intelligent efficiency enhancement

and data-driven quality improvement. Implementation strategies are suggested from the aspects of platform construction

data governance

personnel capacity building

and organizational support

providing a reference for the intelligent transformation of university research management.

关键词

Keywords

references

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