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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Bibliographic Details
Main Authors: Anis F. Galimyanov, Fail Gafarov, Liliya Khairullina, Alina Muzafarova
Format: Article
Language:English
Published: Pensoft Publishers 2022-02-01
Series:ARPHA Proceedings
Subjects:
Online Access:https://ap.pensoft.net/article/24287/download/pdf/