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Research and forecasting of educational process parameters by using artificial intelligence

In this paper we present the results of an interdisciplinary research based on the application of big data, date science, artificial intelligence and machine learning methods in educational analytics. Artificial intelligence techniques applied for the analysis of depersonalized data stored in the in...

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Bibliografiska uppgifter
Huvudupphov: Anis F. Galimyanov, Fail Gafarov, Liliya Khairullina, Alina Muzafarova
Materialtyp: Artigo
Språk:Inglês
Utgiven: Pensoft Publishers 2022-02-01
Serie:ARPHA Proceedings
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Länkar:https://ap.pensoft.net/article/24287/download/pdf/
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