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

被引：1

作者：

Xiang, Kaiyu ^{[1
,2
]}

Zhu, Yuanyuan ^{[3
,4
]}

机构：

[1] Shaanxi Normal Univ, Xian, Peoples R China

[2] Northwest Univ Polit & Law, Xian, Peoples R China

[3] Shanghai Normal Univ, Shanghai, Peoples R China

[4] Jiangsu Normal Univ, Xuzhou, Jiangsu, Peoples R China

来源：

INTERNATIONAL JOURNAL OF COGNITIVE INFORMATICS AND NATURAL INTELLIGENCE | 2024年 / 18卷 / 01期

关键词：

Artificial Intelligence Technology; Emergency Distance Learning Method (EDLM); Epidemic Higher Education; Intelligent System; Teaching and Learning;

D O I：

10.4018/IJCINI.343519

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页数：14

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