摘要
基于人工智能时代深化创新创业教育改革的背景,针对高校教育创新实践体系尚不完善、数据基础建设薄弱等问题,探讨了高校研究生创新创业人才培养趋势、影响因素及数据应用。通过文献查阅、比较分析以及模型构建等方法对高校研究生创新创业人才培养的数据化路径进行了探索,以期促进高校学科交叉融合与高层次复合型人才的培养创新,帮助创新团队和创业项目跨越"死亡之谷"。
Based on the background of deepening the reform of innovation and entrepreneurship education in the era of artificial intelligence,in view of the imperfect educational innovation practice system of colleges and universities,and the weak data infrastructure,the trend,influencing factors and data application of college graduate students in innovation and entrepreneurship are discussed.Through literature review,comparative analysis,and model construction,the data path of postgraduate innovation and entrepreneurship training in colleges and universities is explored.With a view of promoting the interdisciplinary integration of colleges and universities and the cultivation and innovation of high-level compound talents,help innovation teams and entrepreneurial projects cross the"valley of death".
作者
刘小静
满婷
符蝶
易思豪
LIU XIAOjing;MAN TING;FU DIE;YI SIhao
出处
《创意设计源》
2021年第1期73-76,共4页
Idea & Design
基金
2020年度中南大学研究生教改课题“双一流背景下的研究生‘AI’+‘创新创业’人才培养模式研究”(项目编号:2020JGB097)阶段性成果
关键词
人工智能
创新创业
影响因素
数据化路径
研究生
artificial intelligence
innovation and entrepreneurship
influencing factors
data-oriented path
graduate students
