教育部产学合作协同育人项目生成式人工智能(AIGC)师资培训项目申报指南

2025年,港美通科技(深圳)有限公司支持生成式人工智能(AIGC)师资培训项目40项。本指南旨在为高等教育机构和企业合作申报生成式人工智能(AIGC)师资培训项目提供详细指导。申报项目应围绕AIGC技术的前沿发展,涵盖文本生成、图像生成、自然语言处理、深度学习等内容,着力提升高校教师在AIGC领域的教学与科研能力。指南详细列出申报条件、支持形式、评审标准及实施流程,为申报单位提供清晰的操作规范,促进校企深度合作,共同推动AIGC技术在教育领域的应用与发展。This guide provides detailed instructions for higher education institutions and enterprises to jointly apply for faculty training programs in Generative Artificial Intelligence (AIGC). The proposed projects should focus on cutting-edge developments in AIGC technologies, including text generation, image synthesis, natural language processing, and deep learning, aiming to enhance the teaching and research capabilities of university faculty in the AIGC field. The guidelines specify application requirements, support forms, evaluation criteria, and implementation procedures, offering clear operational norms for applicants to foster in-depth collaboration between academia and industry, thereby promoting the application and advancement of AIGC technology in education.

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Publication Details

Journal
Integration of Industry and Education
Published
2025-01-16
DOI
https://doi.org/10.6938/iie.070107
Primary Topic
Educational Reforms and Innovations
Type
article
Field-Weighted Citation Impact
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article

教育部产学合作协同育人项目生成式人工智能(AIGC)师资培训项目申报指南

港美通科技有限公司
Integration of Industry and Education
Educational Reforms and Innovations
article

教育部产学合作协同育人项目生成式人工智能(AIGC)师资培训项目申报指南

港美通科技有限公司
article en

Abstract

2025年,港美通科技(深圳)有限公司支持生成式人工智能(AIGC)师资培训项目40项。本指南旨在为高等教育机构和企业合作申报生成式人工智能(AIGC)师资培训项目提供详细指导。申报项目应围绕AIGC技术的前沿发展,涵盖文本生成、图像生成、自然语言处理、深度学习等内容,着力提升高校教师在AIGC领域的教学与科研能力。指南详细列出申报条件、支持形式、评审标准及实施流程,为申报单位提供清晰的操作规范,促进校企深度合作,共同推动AIGC技术在教育领域的应用与发展。This guide provides detailed instructions for higher education institutions and enterprises to jointly apply for faculty training programs in Generative Artificial Intelligence (AIGC). The proposed projects should focus on cutting-edge developments in AIGC technologies, including text generation, image synthesis, natural language processing, and deep learning, aiming to enhance the teaching and research capabilities of university faculty in the AIGC field. The guidelines specify application requirements, support forms, evaluation criteria, and implementation procedures, offering clear operational norms for applicants to foster in-depth collaboration between academia and industry, thereby promoting the application and advancement of AIGC technology in education.

Integration of Industry and EducationVol. 7(1)
Openalex Percentile: Top 99%
Educational Reforms and Innovations
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