生成式人工智能(AIGC)教学科研培训教育部产学合作协同育人项目申报指南

Application Guidelines for the Ministry of University-Industry Collaborative Education Program on Generative Artificial Intelligence AIGC Teaching Research and Training

Authors

  • 开来科技(深圳)有限公司 Author

DOI:

https://doi.org/10.6938/iie.070109

Keywords:

开来科技, 产学合作, 协同育人, 申报指南, 生成式人工智能

Abstract

2025年,开来科技(深圳)有限公司拟支持生成式人工智能(AIGC)教学科研培训项目50项。通过系统化的师资培训、校企联合实践及AIGC(生成式人工智能)相关技术的深入应用,全面提升高校教师在人工智能领域的教学与科研能力,推动AIGC技术在教育教学中的深度融合。优化课程体系,构建基于AIGC的智能教学场景,增强课堂互动效果,推动个性化教学与教育教学模式的全面改革。通过引入ChatGPT、Claude及SakanaAI的AI Scientist等AIGC科研辅助工具,帮助教师和学生在科研工作中高效完成数据分析、模型构建与实验模拟,显著提升科研效率与创新能力。In 2025, Kailai Technology (Shenzhen) Co., Ltd. plans to support 50 projects focused on generative artificial intelligence (AIGC) teaching and research training. By implementing systematic faculty training, industry-university collaborative practices, and the in-depth application of AIGC technologies, the program aims to comprehensively enhance university educators’ teaching and research capabilities in the field of artificial intelligence. The initiative will promote the deep integration of AIGC technologies into educational practices, optimizing course structures and building intelligent teaching environments powered by AIGC. This approach seeks to improve classroom interactivity, foster personalized teaching, and drive a comprehensive reform of teaching and learning models. By leveraging AIGC research tools such as ChatGPT, Claude, and SakanaAI’s AI Scientist, the program will enable educators and students to efficiently perform data analysis, model development, and simulation experiments, significantly boosting research productivity and innovation capacity. 

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Published

2025-01-31

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