scholarly journals The concept of using artificial intelligence in distance learning

2021 ◽  
pp. 30-41
Author(s):  
Roman Vladimirovich Kamenev ◽  
◽  
Aleksandr Borisovich Klassov ◽  
Valeriy Vasilyevich Krasheninnikov ◽  
◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Distance Learning ◽  
Knowledge Bases ◽  
Learning System ◽  
Negative Consequences ◽  
Conversational Agents ◽  
Educational Impact ◽  
Modern Distance Education ◽  
Distance Learning System ◽  
Artificial Intelligence In Education

The article presents an analysis of possible directions of using artificial intelligence in education. It is shown that artificial intelligence in modern distance education contributes to its further development in the direction of modernization and has a significant impact, especially on the modern distance learning system. The requirements for artificial intelligence on the part of education and the negative consequences of the use of artificial intelligence and problems that may affect the quality of education are analyzed. The possible directions of work in terms of the development of artificial intelligence related to the development of knowledge representation models, the creation of knowledge bases forming the core of the expert system are considered. Attention is drawn to the fact that an intelligent learning system should be able to perform various functions of a teacher (to help in the process of solving problems, to determine the cause of students’ mistakes, to choose the optimal educational impact) almost as intelligently as a person does. Attention is also paid to such a direction as the use of intelligent chat-bots or conversational agents and their applications.

E-learning experience in schools and colleges with 1C:Education platform

2020 ◽  
pp. 17-24
Author(s):  
T. A. Chernetskaya ◽  
N. A. Lebedeva
Keyword(s):  
Distance Learning ◽  
General Education ◽  
Learning Experience ◽  
Educational Process ◽  
Learning System ◽  
Full Time ◽  
Distance Learning System ◽  
Teachers And Students ◽  
E Learning ◽  
Mass Organization

The article presents the experience of mass organization of distance learning in organizations of secondary general and vocational education in March—May 2020 in connection with the difficult epidemiological situation in Russia. The possibilities of the 1C:Education system for organizing the educational process in a distance format, the peculiarities of organizing distance interaction in schools and colleges are considered, the results of using the system are summarized, examples of the successful use of the system in specific educational organizations are given. Based on the questionnaire survey of users, a number of capabilities of the 1C:Education system have been identified, which are essential for the full-fledged transfer of the educational process from full-time to distance learning. The nature and frequency of the use of electronic educational resources in various general education subjects in schools and colleges are analyzed, the importance of the presence in the distance learning system not only of a digital library of ready-made educational materials, but also of tools for creating author’s content is assessed. On the basis of an impersonal analysis of user actions in the system, a number of problems were identified that teachers and students faced in the process of an emergency transition to distance learning.

DISTANCE LEARNING AND INFORMATION SECURITY

2021 ◽  
pp. 51-65
Author(s):  
Andrei V. Gavrilenko ◽  
Keyword(s):  
Distance Education ◽  
Distance Learning ◽  
Information Security ◽  
Learning System ◽  
Learning Problems ◽  
Security Assessment ◽  
Critical Nodes ◽  
Distance Learning System ◽  
Principal Directions ◽  
The University

The article considers an issue of information security of the distance education systems. It analyzes the functions and architecture of the typical distance education system. With considering the requirements of information security it also discusses the university information system for solving the distance learning problems. The author defines valuable assets and information resources and describes the existing security threats. The subjects of interaction in the distance learning mode are presented. There is a consideration of the principal directions of the university’s activity in the distance learning system, requiring constant monitoring of information security. A threat model is worked out and the main security vulnerabilities are highlighted. The analysis of the causes and consequences of information security violation in the distance learning system is carried out and most vulnerable and critical nodes were identified. The hardware and software requirements for the remote mode work are regarded. A recommended list of hardware and software tools that ensure compliance with safety requirements is presented. The major lines of protection for distance learning systems are highlighted. The article proves the necessity of conducting a regular security assessment as a means for monitoring an effectiveness of the protection system.

scholarly journals ARCHITECTURE OF A NEURAL NETWORK ANALYZER OF BIOMETRIC PARAMETERS OF LISTENERS OF THE DISTANCE LEARNING SYSTEM

2020 ◽  
pp. 91-99
Author(s):  
Liudmyla Tereikovska
Keyword(s):  
Neural Network ◽  
Distance Learning ◽  
Network Analysis ◽  
Learning System ◽  
Integrated Analysis ◽  
Network Analyzer ◽  
Neural Network Analysis ◽  
Biometric Parameters ◽  
The Neural Network ◽  
Distance Learning System

The urgency of the task of developing tools for neural network analysis of biometric parameters for recognizing the personality and emotions of students of the distance learning system has been substantiated. The necessity of formalizing the architectural solutions used in the creation of software for neural network analysis of biometric parameters is shown. As a result of the research carried out in terms of the UML modeling language, the architecture of the neural network analyzer of biometric parameters has been developed. Diagrams of options for using the neural network analyzer have been developed both for recognizing the personality of a student when entering the system, and for recognizing the personality and emotions of a student in the process of his interaction with the distance learning system. Also, based on the developed use case diagrams, a structural diagram of the analyzer is built. The necessity of including subsystems for determining the functional parameters of the analyzer, registration of biometric parameters, neural network analysis of registered biometric parameters, personality recognition and emotion recognition is substantiated. An original feature of the proposed architectural solutions is the introduction into the neural network analysis subsystem of an integrated analysis module designed to summarize the results of neural network analysis separately for each of the biometric parameters. A rule for making an integrated decision has been developed, taking into account the results of a neural network analysis of each of the registered biometric parameters and the corresponding weight coefficients determined by expert evaluation. The introduction of the integrated analysis module makes it possible to increase the accuracy of recognition of emotions and personality of a student, since the final classification is realized through a generalized assessment of several guaranteed significant biometric parameters. In addition, the use of this module makes it possible to increase the reliability of the neural network analyzer in case of difficulties associated with the registration of a particular biometric parameter. It has been established that the decision-making rule can be improved by using one or more neural networks in the integrated analysis module, designed to generalize the results of the neural network analysis of all registered biometric parameters. It is proposed to correlate the directions of further research with the development of appropriate neural network solutions.

scholarly journals Innovative methods of monitoring students’ knowledge and competencies under conditions of supervised independent work using the Moodle distance learning system

2020 ◽  
Vol 19 (5) ◽  
pp. 108-113
Author(s):  
N.S. Aliakhnovich ◽  
◽  
U.V. Yanchanka ◽  
Keyword(s):  
Distance Learning ◽  
Learning System ◽  
Innovative Methods ◽  
Distance Learning System ◽  
Independent Work

В статье изложены инновационные методы контроля знаний и компетенций студентов – составление итогового портфолио со сравнительными таблицами, написание учебной истории болезни и моделирование клинической ситуации на основе кейс-метода, рефлексивная практика после онлайн-лекции, примененные на кафедре клинической иммунологии и аллергологии с курсом ФПК и ПК ВГМУ в условиях управляемой самостоятельной работы студентов с использованием системы дистанционного обучения Moodle. Цель исследования – разработать и применить эффективные методы контроля знаний и компетенций студентов в процессе преподавания дисциплины «Клиническая иммунология, аллергология» в условиях управляемой самостоятельной работы с использованием системы дистанционного обучения Moodle. Результаты. Разработан и применен метод оценки уровня знаний студентов и способности к критическому анализу большого количества учебного материала с помощью составления обобщающих таблиц и формирования итогового портфолио по всем занятиям цикла «Клиническая иммунология, аллергология». Предложен метод промежуточного контроля в виде рефлексивной дискуссии после онлайн-лекций. В качестве определения сформированности профессиональных компетенций рекомендовано использовать кейс-метод для всестороннего анализа клинического случая в контексте реальной медицинской практики с обязательной формулировкой диагноза, разработкой лечения и рекомендаций при выписке, а также обратный кейс-метод с моделированием студентами клинической ситуации. Педагогическому тестированию отведена роль дополнительного элемента контроля знаний по дисциплине «Клиническая иммунология, аллергология». Заключение. На кафедре клинической иммунологии и аллергологии с курсом ФПК и ПК ВГМУ успешно разработаны и применены эффективные методы контроля знаний и компетенций студентов по дисциплине «Клиническая иммунология, аллергология», а именно: составление итогового портфолио со сравнительными таблицами, написание учебной истории болезни и моделирование клинической ситуации с применением кейс-метода, рефлексивная дискуссия после онлайн-лекции, педагогическое тестирование.

PROBLEMATIC ISSUES OF ONLINE EDUCATION

2020 ◽  
Vol 65 (4) ◽  
pp. 52-59
Author(s):  
M. M. Baibekova ◽  
◽  
Z. ZH. Kumisbek ◽  
S. L. Makhmudova ◽  
◽  
...  
Keyword(s):  
Distance Learning ◽  
Online Education ◽  
Education System ◽  
Point Of View ◽  
Learning System ◽  
Online Distance Education ◽  
Distance Learning System ◽  
Psychological Point ◽  
Online Distance ◽  
Fear And Anxiety

In this article, the current situation in the field of Education, which occupies the last place in the field of online distance education, will reveal in detail the current problems of online distance education.It took place all over the world.In the context of the epidemiological situation, all of us will have to serve and live in a new way. Today, there are almost no people who are not affected by these changes. Each of us must adapt to these changes and switch to a habitual way of life. First of all, the education system for children, including the entire population, will have to be transformed and transformed. Distance learning will have to be transformed not only from a technical point of view, but also from a pedagogical and psychological point of view. Teachers, students, and parents-all participants in the relationship of the education system, even the distance learning system, need psychological support.Coronavirus-the word was a word that took place in the language and mind of every inhabitant of the planet. The pandemic, which has engulfed the entire world, has not only destroyed the usual daily lifestyle, but also caused fear and anxiety in people's lives. In this article, we will discuss in detail and in detail the current problems of online education in universities.

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