Research on Reconstruction and Path Optimization of Artificial Intelligence Law Virtual Teaching and Research Offices_Vol. 2 No. 4 (JHET 2025)_Journal of Higher Education Teaching (ISSN: 3005-5776)

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Research on Reconstruction and Path Optimization of Artificial Intelligence Law Virtual Teaching and Research Offices

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DOI: https://doi.org/10.62517/jhet.202515408

Author(s)

Ben Yang

Affiliation(s)

School of Criminal Science and Technology, Guangxi Police College, Nanning, Guangxi, China

Abstract

China has entered a new era of Education Informatization 2.0 and digital transformation. As a new type of grassroots teaching organization integrating interdisciplinary fields, artificial intelligence law virtual teaching and research offices will receive stronger technical support and policy-driven development. Based on reconstruction theory, this article conducts an in-depth analysis of core issues in virtual teaching and research office construction, systematically reviews the conceptual connotations of reconstruction, and summarizes that reconstructed virtual teaching and research offices exhibit characteristics such as cross-boundary and collaborative personnel organization, intelligent and platform-based organizational carriers, integrated and innovative teaching and research methods, and cutting-edge and granular teaching and research content. By content, they can be categorized into theoretical system reconstruction, practical application reconstruction, and governance mechanism reconstruction; by level, they can be divided into college-level, university-level, municipal-level, provincial-level, and national-level. Reconstructed virtual teaching and research offices possess functions including deepening interdisciplinary integration, innovating teaching and research models, optimizing resource allocation, enhancing collaborative efficiency, and serving social needs. There are two major models: autonomous reconstruction and collaborative reconstruction, providing theoretical support and path guidance for the reconstructive development of artificial intelligence law virtual teaching and research offices.

Keywords

Artificial Intelligence Law; Virtual Teaching and Research Office; Reconstruction Path; Optimization Strategy

References

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