Problems and Doctrine: Learning Situation Analysis and Application Research of Virtual Teaching from the Perspective of Artificial

Haiyan Li
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Abstract

Virtual teaching is an inevitable trend of informatization and intelligence of school education in the era of artificial intelligence. In response to the current high-incidence stage of the epidemic, the Ministry of Education has put forward the requirement of "suspending classes without stopping school, and without extension of teaching", which highlights the advantages of virtual teaching. Through in-depth practice and research, it is found that there is a "distortion" phenomenon in the teaching process and assessment results. Through the practice, combing and research of virtual teaching under the epidemic situation in recent years, comprehensively consider the interaction data between teachers and students, and students and students in the teaching process before, during and after class, and expound the remaining problems of virtual teaching. The analysis of learning situation before, during and after class, put forward effective teaching design to deal with "distorted" virtual teaching, and construct a new teaching process structure design idea, so as to construct the structure of educators, teaching resources, teaching environment, teaching data, and students. An efficient virtual teaching dynamic generation and development system composed of educators and other elements.
问题与原则:人工视角下虚拟教学的学习态势分析与应用研究
虚拟教学是人工智能时代学校教育信息化、智能化的必然趋势。针对当前疫情高发阶段,教育部提出了“停课不停学、不延期教学”的要求,凸显了虚拟教学的优势。通过深入的实践和研究,发现在教学过程和考核结果中存在“失真”现象。通过近年来疫情下虚拟教学的实践、梳理和研究,综合考虑课前、课中、课后教学过程中教师与学生、学生与学生的互动数据,阐述虚拟教学存在的问题。对课前、课中、课后的学习情况进行分析,提出有效的教学设计来应对“扭曲”的虚拟教学,构建新的教学过程结构设计思路,从而构建教育者、教学资源、教学环境、教学数据、学生的结构。一个由教育者和其他要素组成的高效的虚拟教学动态生成与开发系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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