Open AccessREVIEW OF AUTOMATED SYSTEMS SUPPORT OF EDUCATIONAL PROCESS
Author(s) -
Serhii Tsybulnyk,
Gabriel Voican,
Oleh Liakhovetskyi,
Serhii Rupich
Publication year - 2021
Publication title -
vìsnik kiïvsʹkogo polìtehnìčnogo ìnstitutu. serìâ priladobuduvannâ/vìsnik kiïvsʹkogo polìtehnìčnogo ìnstitutu. serìâ priladobuduvannâ
Language(s) - English
Resource type - Journals
eISSN - 2663-3450
pISSN - 0321-2211
DOI - 10.20535/1970.61(1).2021.237104
Subject(s) - distance education , internship , the internet , space (punctuation) , workload , variety (cybernetics) , adaptation (eye) , psychology , process (computing) , higher education , medical education , mathematics education , pedagogy , public relations , political science , computer science , medicine , world wide web , artificial intelligence , neuroscience , law , operating system
Distance education in Ukraine has undergone significant growth over the past two years. It has provided opportunities for millions of undergraduate and graduate students to continue learning in a variety of forms and ways, including online learning, internships, competitions, research, dissertation defenses, field experience reports, seminars and forums in quarantine. In contrast to Ukraine, according to the results of a survey of some higher educational institutions during the epidemic period, the degree of student dissatisfaction with distance learning on the Internet is generally high. In contrast to Ukraine, according to the results of a survey of some higher educational institutions in the world during the epidemic period, the degree of student dissatisfaction with distance learning on the Internet is generally high.
In the realities of our country, distance learning is much more popular with students, since there is no need to be in the lecture hall, and it is also impossible to determine who completed the homework: student or someone else. On the other hand, the workload for teachers has increased due to the need to create and administer distance courses, presentations, multimedia labs and others. These factors contribute to an increase in dissatisfaction with the distance education process among university teachers.
The overall response of students and teachers to distance education is related to the challenges of transition and adaptation. First, opinions regarding the negative impact of long-term use of electronic products cannot be ignored. Secondly, there is a problem associated with the lack of technical support and personal space at home for students. Any pandemic causes high levels of stress in the population. It is associated with uncertainty and loss of control over the situation. The COVID-19 pandemic has worsened the pre-existing mental health of both students and teachers.
This is mainly due to the closure of educational institutions, the loss of work and study hours, limited social ties, and a heavy load of educational material. To ensure a sufficient level of quality of distance learning, it is necessary to use automated learning support systems. They provide an opportunity to objectively assess and maintain academic integrity for students.
That is why the purpose of this work is to do overview of existing popular and most widely used automated learning support systems and to compare their functionality for design of a new system that will provide the required quality of learning.
The overview made it possible to determine that a high-quality automated learning support system in a distance learning environment should contain at least the following parts: preparation of course elements by teachers, anonymous assessment of the course by students, attendance control, student recognition, exchange of teaching resources, exchange of professional knowledge and skills, conducting various types of control activities and homework, meetings and seminars, Web-based laboratories, Internet library and others. Also, the system must be cross-platform and supported on a computer, TV, mobile phone, tablet and other common gadgets based on the existing today operating systems.