Analytical Potential of the Distance Learning Platform InfoD Moodle MPGU
The article provides data revealing the nature of the development of distance learning at Moscow Pedagogical State University. It is shown that as distance educational technologies spread, more and more data is accumulated, which can be successfully used for analyzing and designing educational results. Software solutions and approaches for developing the functionality of the Moodle platform for the purpose of predicting academic performance are described.
Keywords: educational data analysis, distance learning platform, educational analytics, artificial intelligence
Publication rubric: Modeling and Data Analysis for Digital Education
Article type: theses
For citation: Demina S.A., Postyrnak V.I., Mikhaylova M.V. Analytical Potential of the Distance Learning Platform InfoD Moodle MPGU. Digital Humanities and Technology in Education (DHTE 2023),, pp. 533–548.
Information About the Authors
Previous month: 6
Current month: 2
Previous month: 3
Current month: 3