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    人工智能赋能高校人才培养变革的研究综述

    A Review of Researches on Reforms of Talents Training in Artificial Intelligence Enabled Colleges and Universities

【作      者】:

刘 德 建


【关 键 词 】:

人工智能; 高校; 人才培养; 赋能; 变革


【栏      目】:

学科建设与教师发展


【中文摘要】:

“人工智能+高等教育”受政策推动,以智能技术变革高校人才培养模式成为政策关注的重点。“人工智能+高等教育”处于教育信息化2.0阶段,其本质内涵是强调智能技术对高等教育的全面变革;社会认知分析表明,公众关注“人工智能+高等教育”中的人才培养问题,关注“人工智能+人才培养”上的智能技术应用问题。当前对“人工智能+高等教育”的研究中,关注点包括支持学生学习的学习分析技术和自适应学习,未来教师的能力转型和持续提升,教学管理上的流程变革和新型评估,教学资源上的资源建设和开放共享,学习环境上的技术升级和环境设计。未来人工智能赋能高校人才培养需要从学生、教师和学校三方逐步融入,提升学习、教学、管理、资源与环境等关键要素,最终实现对高校人才培养模式的全面变革。


【英文摘要】:

"Artificial intelligence + higher education" is promoted by relevant policies, and the reform of talent training mode in colleges and universities with intelligent technology has become the focus of the policy. "Artificial intelligence + higher education" is in the stage of educational informationization 2.0, and it essentially puts emphasis on the comprehensive reform of higher education by intelligent technology. Social cognitive analysis shows that the public pays attention to talent training in "artificial intelligence + higher education" and the application of intelligent technology in "artificial intelligence + talent training". The current research on "AI+ higher education" attaches great importance to learning analysis technology and adaptive learning to support students' learning, the ability transformation and continuous improvement of future teachers , process reform and new evaluation in teaching management, construction and open sharing of teaching resources, technology upgrades in learning environment and environment design. In the future, the talent training of colleges and universities empowered by AI needs to be gradually integrated from the aspects of students, teachers and schools, and it is necessary to improve learning, teaching, management, resources and environment for ultimately realizing the comprehensive reform of the talent training mode of colleges and universities.

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