
Educational analytics. A new approach to improving the quality of the educational process
Author(s) -
D. N. Oskin,
Аркадий Филиппович Оськин
Publication year - 2020
Language(s) - English
Resource type - Conference proceedings
DOI - 10.29003/m1848.978-5-317-06529-4/454-461
Subject(s) - learning analytics , computer science , python (programming language) , analytics , process (computing) , educational data mining , data science , quality (philosophy) , programming language , philosophy , epistemology
This article describes the trends in online education caused by the COVID-19 pandemic. The introduction of learning analytics into the educational process is substantiated. The main methods and tools of educational analytics are considered. Using a specific example, we will understand the construction and assessment of a student classification model using the high-level programming language Python.