【作者】 周玉晨； 池亚平； 刘宇栋； 冯雁； 范洁；

【Author】 Zhou Yuchen;Chi Yaping;Liu Yudong;Feng Yan;Fan Jie;Department of Cyberspace Security,Beijing Electronic Science and Technology Institute;

【机构】 北京电子科技学院；

【摘要】 面对当今复杂多变的网络环境以及日新月异的网络技术,传统电子政务安全保障人才培养已逐渐无法满足行业/产业的需求。借助人工智能技术赋能教育教学的机遇,本文深入剖析了现有人才培养体系所存的问题,探究了AI赋能教育教学的研究现状,探索了AI技术赋能人才培养应用元模式,利用AI技术对人才培养过程进行解构再重构,从人才培养目标定义、人才培养过程调控、人才培养质量评价等方面研究了AI技术在人才培养全生命周期中的赋能路径,最终形成一套全方位、个性化、智能化的人才培养体系。经实践检验,本研究所提人才培养体系在课程学习、学术研究、课外竞赛、培养反馈等方面均取得了显著成效,为相关院校电子政务安全保障人才培养提供了有效解决方案,对推动AI赋能教育教学发展也具有重要意义。更多还原

【Abstract】 In the face of the complex and changeful network environment,as well as rapidly changing network technologies,traditional e-government security talent training is gradually unable to meet the needs of the industry.In response to the above issues,this article takes advantage of the opportunity of empowering education and teaching with artificial intelligence technology to explore in depth the empowering path of AI technology in the full cycle of talent cultivation for e-government security guarantee.By using AI technology to deconstruct and reconstruct the talent cultivation process,a comprehensive,personalized,and practical talent training system is ultimately formed,providing reference and guidance for the training of e-government security guarantee talents in relevant universities.更多还原