The Influence of Artificial Intelligence Technology on the Optimization of the Teaching Model of Higher Education in the Context of the Pandemic

Kaiyu Xiang, Yuanyuan Zhu
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Abstract

The environment of the epidemic is a life changer for everyone, and specifically for the educational system is progress. In order to overcome the challenges in the educational system, this study proposes a new intelligent approach to teaching and learning. Teaching plays a vital role in higher education and can be advanced by utilising certain tools and technologies such as internet enabled mobile applications, automated scheduling of courses, assessment etc. The Emergency Distance Learning Methodology (EDLM) is proposed to improve the teaching-learning process by implementing artificial intelligence. Comparing the proposed system with the existing qualitative response analysis methods, it is observed that the proposed system provides 98.56% accuracy over the existing models. This study aims to assess the optimisation of teaching and learning models in higher education.
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大流行病背景下人工智能技术对高校教学模式优化的影响
疫情环境对每个人来说都是生活的改变,具体到教育系统来说就是进步。为了克服教育系统面临的挑战,本研究提出了一种新的智能教学方法。教学在高等教育中起着至关重要的作用,可以通过利用某些工具和技术(如支持互联网的移动应用程序、自动课程安排、评估等)来推进教学。紧急远程学习方法(EDLM)的提出是为了通过实施人工智能来改进教学过程。将所提出的系统与现有的定性反应分析方法进行比较后发现,所提出的系统比现有模型的准确率高出 98.56%。本研究旨在评估高等教育中教学模式的优化。
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