This article presents an in-depth study and analysis of the application of big data–artificial intelligence fusion technology to the field of education in the context of the New Crown epidemic. Since the outbreak of the New Crown epidemic, there is a need to understand the channels for solving the demands of productive life during the epidemic, and the main way to solve these problems is to apply the Internet, big data, and artificial intelligence. Therefore, exploring the application of big data–artificial intelligence fusion technology in education in the context of the New Crest pneumonia epidemic is a top priority for reform and development nowadays. This study uses the paradigm narrow shift analysis framework to verify whether Computer Aided Instructional design, multimedia instructional design, and informational instructional design produce migration. For the intelligent stage of instructional design, the inevitability of the change in basic assumptions of instructional design in the context of artificial intelligence (AI) is first explained in terms of the opportunities brought by AI to education and teaching, the problems of the original information-based instructional design itself, and the many challenges it faces. On this basis, we also use the change in basic assumptions analysis framework to explain the content of intelligent instructional design by using the four elements of beliefs, values, symbols, and paradigms promised by the members of the community, verify that it has shifted, and build a change in the basic assumptions model from multimedia instructional design to information-based instructional design to intelligent instructional design. The article gives three countermeasures to solve the problem, that is, raising awareness, improving the plan, and strengthening the drill. To ensure the smooth implementation of the emergency management of national covid control program (NCCP), higher education institutions should further strengthen the construction efforts of specialized psychological counseling teams, build an early warning mechanism for psychological problems of the NCCP epidemic in higher education institutions, and a multilevel supervision system.

中文翻译：

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大数据——新冠疫情背景下的人工智能教育融合技术

本文对新冠疫情背景下大数据-人工智能融合技术在教育领域的应用进行了深入研究和分析。新冠疫情爆发以来，需要了解解决疫情期间生产性生活需求的渠道，而解决这些问题的主要途径是应用互联网、大数据和人工智能。因此，探索新冠肺炎疫情背景下大数据-人工智能融合技术在教育中的应用，是当前改革发展的重中之重。本研究使用范式窄移分析框架来验证计算机辅助教学设计、多媒体教学设计、和信息化教学设计产生迁移。对于教学设计的智能化阶段，首先从人工智能给教育教学带来的机遇、原始信息存在的问题等方面来解释人工智能（AI）背景下教学设计基本假设发生变化的必然性。基于的教学设计本身，以及它面临的许多挑战。在此基础上，我们还利用基本假设分析框架的变化，利用社区成员承诺的信念、价值观、符号和范式四个要素来解释智能教学设计的内容，验证它已经发生了转变，构建从多媒体教学设计到信息化教学设计再到智能化教学设计的基本假设模型的转变。文章给出了解决问题的三个对策，即提高认识、完善方案、加强演练。为确保国家新冠肺炎疫情应急管理工作顺利实施，高校应进一步加强专业心理咨询队伍建设力度，构建高校新冠肺炎疫情心理问题预警机制，以及多层次的监管体系。