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

Kaiyu Xiang and Yuanyuan Zhu
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Kaiyu Xiang: Shaanxi Normal University, China & Northwest University of Politics and Law, China
Yuanyuan Zhu: Shanghai Normal University, China & Jiangsu Normal University, China

International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 2024, vol. 18, issue 1, 1-14

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.

Date: 2024
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