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“智能 + 教育”背景下教学平台一体化建设研究
Research on the Integrated Construction of Teaching Platform under the Background of “Intelligence + Education”

DOI: 10.12677/AE.2022.127363, PP. 2386-2393

Keywords: 人工智能,大数据,教学平台一体化,智能 + 教育
Artificial Intelligence
, Big Data, Integrated Teaching Platform, Intelligence + Education

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Abstract:

新一代信息技术的发展为高校深化教育教学改革带来了新的机遇与挑战,人工智能及大数据赋能教学平台建设成为我国加快推进智能化教育的有效抓手。文章分析了教学平台建设中存在信息化建设缺少整体规划、数据利用率不高、课堂教学效率低下、教学数据资产使用率低等现实困境。从“智能 + 教育”的时代背景出发,明确了教学平台四个一体化的建设目标,阐明了人工智能及大数据在教学平台一体化建设中的应用价值。在此基础上,设计了由基础设施层、技术支持层、支撑管理层、应用服务层四个层面组成的整体架构,提出了“智能 + 教育”背景下教学平台一体化建设的实施路径:整体设计分步建设、搭建协同融合的教学一体化平台、构建基于大数据的教学全流程管理模式、建立基于人工智能的教学推荐辅导系统。
The development of the new generation of information technology has brought new opportunities and challenges for further deepening the education and teaching reform in colleges and universities. In the meanwhile, the construction of teaching platform integrated with artificial intelligence and big data has become an effective starting point for China to accelerate the promotion of intelligent education. This paper analyzes the practical difficulties existing in the process of constructing teaching platform, including lack of overall planning in information construction, low utilization rate of data, inefficiency of classroom teaching and low utilization rate of teaching data assets. Under the context of era of “intelligence + education”, four integrated construction objectives of teaching platform are clarified, and the application value of artificial intelligence and big data in the integrated construction of teaching platform is expounded. On this basis, an overall framework composed of infrastructure, technical support, support management and application service is designed, and the implementation path of integrated construction of teaching platform under the background of “intelligent + education” is proposed: that is, constructing the overall design in stages, building a collaborative and integrated teaching integration platform, building a whole teaching process management mode based on big data, and establishing a teaching recommendation and guidance system based on artificial intelligence.

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