School of Economics and Finance, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Big Data. 2022 Jun;10(3):262-276. doi: 10.1089/big.2021.0245. Epub 2022 May 23.
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.
本文深入研究和分析了大数据-人工智能融合技术在新冠疫情背景下在教育领域的应用。自新冠疫情爆发以来,需要了解解决疫情期间生产生活需求的渠道,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,探索大数据-人工智能融合技术在新冠疫情背景下的教育应用是当前改革与发展的重中之重。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教学设计是否产生迁移。对于教学设计的智能阶段,首先根据人工智能 (AI) 给教育和教学带来的机会、原有信息化教学设计本身的问题以及它所面临的诸多挑战,从人工智能背景下教学设计基本假设的变化方面解释智能教学设计的必然性。在此基础上,我们还使用基本假设变化分析框架,通过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,验证它已经发生了变化,并从多媒体教学设计到信息化教学设计再到智能教学设计构建了一个基本假设变化模型。本文给出了三个解决问题的对策,即提高认识、完善计划和加强演练。为确保国家新冠防控计划(NCCP)应急管理的顺利实施,高等学校应进一步加强专门心理咨询队伍建设,构建高等学校新冠疫情心理问题预警机制和多层次监督体系。