Multiple Interactions Strategy of Online Teaching Based on Fine-grained Evaluation in Universities

机译：基于细粒度评估的在线教学多重互动策略

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The interaction of online teaching is an import factor for teaching efficiency. Due to massive students and spatial isolation, online teaching has a much lower interactive effect than classroom teaching. To address the issue, a fine-grained evaluation approach is proposed to test different online interactive tools, and the individualized and automated interactive method for large-scale online teaching is given. The paper summarizes various feasible online interactive tools in information technology and artificial intelligence, which provides support for interactive demands in different scenarios. The work could largely raise the interests, participation and learning efficiency of students.

机译：在线教学的互动是教学效率的进口因素。由于学生巨大和空间隔离，在线教学具有比课堂教学更低的互动效果。为了解决这个问题，提出了一种细粒度的评估方法来测试不同的在线互动工具，并给出了大规模在线教学的个性化和自动交互方法。本文总结了信息技术和人工智能中的各种可行的在线互动工具，这提供了对不同场景中的互动需求的支持。这项工作可能在很大程度上提高了学生的利益，参与和学习效率。

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《International Conference on Big Data and Informatization Education》|2021年|394-397|共4页
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Zou Lida;
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Distance learning; Education; Neural networks; Tools; Big Data; Information technology; Artificial intelligence;

机译：远程学习;教育;神经网络;工具;大数据;信息技术;人工智能;

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Multiple Interactions Strategy of Online Teaching Based on Fine-grained Evaluation in Universities

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