Comprehensive Methods of Evaluation of Efficiency of Distance Learning System Functioning

Abstract

The current pace of development of information technology has created the preconditions for the emergence of a wide range of tools for providing educational services using distance learning technologies. This is confirmed by the intensification of the use of distance learning systems in the conditions of sanitary and epidemiological restrictions and the need for acute cost savings. The existing scientific and methodological apparatus for studying the quality of functioning of distance learning systems is mostly based on approaches to separate assessment of the effectiveness of their elements and the relevant quality indicators. This limits the ability to take into account important factors in the decision-making process and requires comprehensive consideration of the contributions of relevant subsystems to the functioning of the distance learning system. In order to solve this problem, the article presents a comprehensive methodology for assessing the effectiveness of distance learning system, based on methods of probability theory and hierarchy analysis and describes the patterns of influence on the effectiveness of distance learning system of importance and contributions of its subsystems. Comparative analysis of the data obtained by monitoring and forecasting performance indicators based on the proposed method, shows an increase in the reliability of the assessment within 15-18%, which in contrast to the existing reduction of standard deviation of performance indicators by an average of 26% and ensures the adequacy of the results within certain assumptions and hypotheses. In such conditions, the choice of an appropriate option for the construction of the DN system is ensured by the reliability of the forecast of the results of its operation in the range of 82-85%, which is high enough to make appropriate decisions. The value of this study lies in the possibility of using the tested scientific and methodological apparatus in forecasting the outcome of the system and saving material, financial and human resources in the process of implementing the relevant recommendations in practice. This fact makes it possible to eliminate limitations in the practice of building distance learning systems and creates a new opportunity to cover a wider range of factors that affect the quality of operation.The application of this technique makes it possible to predict the results of the joint operation of the relevant subsystems of the distance learning system, taking into account their contribution to the overall result.

Computer Network Information Security Protection Faced by Digital Art Museums Based on the Internet of Things

“…The new appreciation, which was born after it, is rooted in the soil of traditional and modern technology museums and is a new form of museum under the new network environment, so it is different from the concept pursuit and practice of traditional museums. Therefore, in the implementation of digital art museums, the paper puts forward the following suggestions to promote the construction of a digital museum [19,20].…”

Comprehensive Methods of Evaluation of Distance Learning System Functioning

“…If a hardware failure occurs, the self-recovery is to find the workstations to which the software components are redistributed with the establishment of new network connections. As at the system level, it is necessary to periodically check the condition of various components of the equipment and act accordingly [7,16,29].…”

“…Particular attention to these issues exists in researchers of the properties of functional stability of complex technical systems that are able to self-organize under the influence of destabilizing factors [8,9,28].…”

Technologies of Distance Learning for Teaching Primary School Subjects of During the COVID-19 Pandemic

“…The gained results have shown that the optimal learning effect is achieved in the time proportion 2:1 of traditional face-to-face teaching and digital learning. O. Barabash, A. Musienko, and others [18] suggest a complex approach to assessing the effectiveness of the distance learning process, based on the methods of probability theory and hierarchy analysis. They were encouraged to start the research by the fact that scientists usually assess the effectiveness of single elements of the distance learning system and appropriate quality indicators.…”