人工智能及大数据赋能高校智慧校园建设研究

Research on Artificial Intelligence and Big Data Enabling Smart Campus Construction in Colleges and Universities

新一代信息技术的发展为高校深化教育改革带来了新的机遇和挑战,人工智能及大数据赋能高校智慧校园建设成为我国加快推进教育智能化升级的重要手段。文章对智慧校园的发展进行了梳理,发现智慧校园建设存在数据治理低效、缺少统一大数据中心、智慧化教育应用不足等现实困境。在阐明人工智能及大数据在高校智慧校园建设应用价值的基础上,设计了由技术支撑层、数据平台层、智能支持层、应用服务层四个层面组成的智慧校园建设架构,提出了人工智能及大数据赋能高校智慧校园建设路径:制定基于人工智能及大数据的智慧校园顶层设计,建设智慧校园大数据共享开放平台,提高智慧化教育应用水平,推行人工智能及大数据赋能教育精准治理机制,推进智能时代师生信息素养提升策略。

The development of information and technology of the new generation brings about new opportunities and challenges for deepening educational reform in colleges and universities. Smart campus construction enabled by artificial intelligence and big data in colleges and universities is an important means to accelerate the upgrading of intelligence education in China. This paper analyzed the development of smart campus and found that the realistic difficulties available for smart campus construction included inefficient data governance, lack of a unified big data center and insufficient application of intelligent education, etc. Based on the application of artificial intelligence and big data in smart campus construction in colleges and universities, the construction framework for smart campus construction composed of technical support level, data platform level, intelligent support level and application service level was designed and the smart campus construction path enabled by artificial intelligence and big data in colleges and universities was proposed: formulate the top-level design of smart campus based on artificial intelligence and big data, establish a sharing and open platform of big data of smart campus, improve the intelligence level of educational application, promote accurate governance mechanism of artificial intelligence and big data enabling education and promote the strategy to improve the information literacy of teachers and students in the smart era.