Research on performance evaluation of higher vocational education informatization based on data envelopment analysis

Autor: Sergii Khrapatyi, Kseniia Tokarieva, Olena Hlushchenko, Oleksandra Paramonova, Ielyzaveta Lvova
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: STEM Education, Vol 4, Iss 1, Pp 51-70 (2024)
Druh dokumentu: article
ISSN: 2767-1925
DOI: 10.3934/steme.2024004?viewType=HTML
Popis: This article highlights the multifaceted role of AI in modern education and offers insights into innovative ways to revolutionize educational practices through AI technologies. Since this article provides comprehension of the scope and depth of AI's impact on the education sphere, it appeals to a diverse readership, encompassing educators, policymakers, researchers, and the general public. This article explores key issues within the domain of AI in education, including personalized learning, AI-driven assessments, data analytics, and the integration of AI into learning management systems. The article highlights promises, potentials, and challenges accompanying this technological advancement. The authors emphasize the need for a balanced and informed approach to using AI to enhance the education system.
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