Intelligent analysis of the quality of educational content on statistics of student performance in the learning management system "Scorina"

The article provides the analysis of the advantages and disadvantages of distance education, the specifics of educational process and the use of educational content for this form of education. The problems of assessing the quality of educational content for the distance educational process and its e...

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Main Author: A. G. Savenko
Format: Article
Language:Russian
Published: National Academy of Sciences of Belarus, the United Institute of Informatics Problems 2021-07-01
Series:Informatika
Subjects:
Online Access:https://inf.grid.by/jour/article/view/1122
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author A. G. Savenko
author_facet A. G. Savenko
author_sort A. G. Savenko
collection DOAJ
description The article provides the analysis of the advantages and disadvantages of distance education, the specifics of educational process and the use of educational content for this form of education. The problems of assessing the quality of educational content for the distance educational process and its effectiveness are determined. The structure of the developed learning management system "Scorina" and the mechanisms for creating educational content, the learning process, attestation of students and the collection of progress statistics are described. A mathematical model of educational process of learning management system "Scorina", and approach to assessing the knowledge of students are presented.The implementation of functional diagram and the algorithm of the module for the intelligent analysis of the quality of educational content of learning management system "Scorina" is proposed. The module is designed to identify the shortcomings in educational content and to improve the materials that could cause the difficulties for students when studying certain issues or topics of the disciplines are studied based on statistical data of student performance. The connection of specific parts of educational content with specific questions of control tests is implemented through special labels created during the development of the content of the studied disciplines. The mining algorithm allows to identify and exclude from the statistical sample the information of the students whose academic performance characteristics are not objectively related to the quality of educational content.
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publisher National Academy of Sciences of Belarus, the United Institute of Informatics Problems
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spelling doaj-art-286d939ec4e7455193fa5934dd2bbd972025-02-03T11:46:28ZrusNational Academy of Sciences of Belarus, the United Institute of Informatics ProblemsInformatika1816-03012021-07-01182587110.37661/1816-0301-2021-18-2-58-71965Intelligent analysis of the quality of educational content on statistics of student performance in the learning management system "Scorina"A. G. Savenko0Institute of Information Technologies of the Belarusian State University of Informatics and RadioelectronicsThe article provides the analysis of the advantages and disadvantages of distance education, the specifics of educational process and the use of educational content for this form of education. The problems of assessing the quality of educational content for the distance educational process and its effectiveness are determined. The structure of the developed learning management system "Scorina" and the mechanisms for creating educational content, the learning process, attestation of students and the collection of progress statistics are described. A mathematical model of educational process of learning management system "Scorina", and approach to assessing the knowledge of students are presented.The implementation of functional diagram and the algorithm of the module for the intelligent analysis of the quality of educational content of learning management system "Scorina" is proposed. The module is designed to identify the shortcomings in educational content and to improve the materials that could cause the difficulties for students when studying certain issues or topics of the disciplines are studied based on statistical data of student performance. The connection of specific parts of educational content with specific questions of control tests is implemented through special labels created during the development of the content of the studied disciplines. The mining algorithm allows to identify and exclude from the statistical sample the information of the students whose academic performance characteristics are not objectively related to the quality of educational content.https://inf.grid.by/jour/article/view/1122data miningacademic performanceeducational contentquality assessment of the learning processstudent performance statisticslearning management systemgraph model of the educational process
spellingShingle A. G. Savenko
Intelligent analysis of the quality of educational content on statistics of student performance in the learning management system "Scorina"
Informatika
data mining
academic performance
educational content
quality assessment of the learning process
student performance statistics
learning management system
graph model of the educational process
title Intelligent analysis of the quality of educational content on statistics of student performance in the learning management system "Scorina"
title_full Intelligent analysis of the quality of educational content on statistics of student performance in the learning management system "Scorina"
title_fullStr Intelligent analysis of the quality of educational content on statistics of student performance in the learning management system "Scorina"
title_full_unstemmed Intelligent analysis of the quality of educational content on statistics of student performance in the learning management system "Scorina"
title_short Intelligent analysis of the quality of educational content on statistics of student performance in the learning management system "Scorina"
title_sort intelligent analysis of the quality of educational content on statistics of student performance in the learning management system scorina
topic data mining
academic performance
educational content
quality assessment of the learning process
student performance statistics
learning management system
graph model of the educational process
url https://inf.grid.by/jour/article/view/1122
work_keys_str_mv AT agsavenko intelligentanalysisofthequalityofeducationalcontentonstatisticsofstudentperformanceinthelearningmanagementsystemscorina