Future Education Trend Learned From the Covid-19 Pandemic: Take ≪Artificial Intelligence≫ Online Course As an Example

L. Kexin, Qu Yi, Xiaoou Song, Li Yan
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引用次数: 9

Abstract

COVID-19 Pandemic facilitates the development of online courses on a large scale. As a supplementary teaching in a special period, online courses play a gratifying role in enabling students to learn repeatedly and master effectively. However, it cannot be ignored that there are still some problems, and we need to find better solutions. This article takes the “Artificial Intelligence” course as an example, through a set of data analysis, puts forward the improvement plan of the network course, and discusses the “before and after class” teaching mode in blended learning. Through this way we could have a glimpse of the future education, which makes full use of online courses and uses online courses as an icing on the cake for traditional classrooms.
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从新冠疫情中学到的未来教育趋势:以《人工智能》在线课程为例
COVID-19大流行促进了在线课程的大规模发展。网络课程作为一种特殊时期的辅助教学,对学生的重复学习和有效掌握起到了可喜的作用。然而,不可忽视的是,仍然存在一些问题,我们需要找到更好的解决方案。本文以《人工智能》课程为例,通过一组数据分析,提出了网络课程的改进方案,并对混合式学习中的“课前课后”教学模式进行了探讨。通过这种方式,我们可以看到未来的教育,充分利用网络课程,将网络课程作为传统课堂的锦上添花。
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The Research of Teaching Quality Evaluation Model Based on the Principal Component Analysis and Learning Vector Quantization Research on Service Innovation of Distance Education Platform Under the Background of Coronavirus : – Case Study Based on Tencent Classroom Teaching Reform and Innovation in “College Movie English” Course under the background of “Internet Plus” Future Education Trend Learned From the Covid-19 Pandemic: Take ≪Artificial Intelligence≫ Online Course As an Example Peer Assessment Based on the User Preference Matrix
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