The Evolution of AI-Driven Educational Systems during the COVID-19 Pandemic

被引:19
|
作者
Pantelimon, Florin-Valeriu [1 ]
Bologa, Razvan [1 ]
Toma, Andrei [1 ]
Posedaru, Bogdan-Stefan [1 ]
机构
[1] Bucharest Univ Econ Studies, Dept Comp Sci & Cybernet, Bucharest 010374, Romania
关键词
COVID-19; artificial intelligence; education; adaptive learning; ARTIFICIAL-INTELLIGENCE;
D O I
10.3390/su132313501
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
COVID-19 had a major impact on education, substantially stimulating the need for digital remote education. From paperback books to PDFs, from physical classes to e-conferencing, and from various traditional mechanisms of information transmission to systems that are driven by artificial intelligence and use adaptive learning approaches, all of these had to be adopted by both teachers and students. This paper analyzes the use of an adaptive learning system before and during the COVID-19 pandemic from a statistical point of view on a set of data gathered in Romania during a pilot project. The main data inputs are the number of students that enrolled for a certain course, the percentage of students that successfully completed it, and information about their age group, location and main area of interest. Our study finds that the use of artificial intelligence has increased during the COVID-19 pandemic and, by analyzing the data obtained during the study, we managed to prove that artificial-intelligence-driven tools and systems have gained traction among all the parties involved in the educational process.
引用
收藏
页数:10
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