|
| 美国研究型大学人工智能人才培养的革新路径与演进机理 |
| Innovation Path and Evolution Mechanism of AI Personnel Training in US Research Universities |
| 投稿时间：2022-01-23 |
| DOI：10.19834/j.cnki.yjsjy2011.2022.04.13 |
| 中文关键词: 人工智能;人才培养;研究型大学;课程体系;教学模式 |
| 英文关键词: artificial intelligence;personnel training;research university;curriculum system;teaching mode |
| 基金项目:天津市教委社科重大项目"研究生教育质量评价体系研究与实践"(2020JWZD48) |
| 作者 | 单位 | | 胡德鑫 | 天津大学 教育学院, 天津 300354 | | 纪璇 | 天津大学 教育学院, 天津 300354 |
|
| 摘要点击次数: 1253 |
| 全文下载次数: 1481 |
| 中文摘要: |
| 作为引领新一轮科技革命、产业调整与社会变革的战略性技术,人工智能技术正在对经济发展、科技创新和社会进步等领域产生深远影响。基于麻省理工学院、卡内基·梅隆大学等五所美国顶尖研究型大学的样例,运用案例分析与综合比较的混合研究方法,对其人才培养的革新路径与演进机理进行解析。结果显示,以培养目标引领培养方向、以资源整合支撑培养基础、以课程教学驱动培养创新、以产学研联通深化协同育人、以质量保障提升卓越品质是其人工智能人才培养的主要革新路径;进一步指出其人才培养模式的演进机理,即"个人发展+社会本位"的多元化人才培养目标、"跨界融合+均衡高效"的整合式资源供给、"通专结合+推陈出新"的复合型课程教学、"知行合一+完善灵活"的综合性项目实习,以期为我国未来人工智能人才培养的理论研究与实践改革提供科学参考。 |
| 英文摘要: |
| As a strategic technology that leads a new round of sci-tech revolution, industrial adjustment and social change, AI technology is exercising a far-reaching impact on economic development, sci-tech innovation and social progress. Based on five top research universities in the United States including MIT and Carnegie Mellon University, this paper analyzes the innovation path and evolution mechanism of their talent cultivation by using a hybrid research method of case analysis and comprehensive comparison. The results show that guiding the training direction with training objectives, supporting the training with resource integration, driving the training innovation with course teaching, deepening the training with the synergy of enterprises, universities and research institutions, and improving the excellent quality with quality assurance demonstrate the features of the main innovation path of the AI talent training there. Furthermore, this paper points out the evolution mechanism of their talent training, that is, the diversified talent training objectives focusing on "personal development + social standard", the integrated resource supply featuring "cross-border integration + balanced efficiency", the compound course teaching showing "the blend of generic and specialized education + innovation", and the comprehensive project practice for "the unity of knowing and doing + completion and flexibility". In general, this paper is to provide some reference for the theoretical research and practical reform of the AI talent training in the future. |
|
查看HTML全文
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
|
|
|
