The article highlights the criteria and indicators for the selection of cloud-based distance learning systems in training databases of future IT professionals, namely: organizational-didactic (course program, modularity of electronic training course, presentation of educational material in different formats, testing, journal, calendar); communication (chat, forum, alerts, email, video conference); functional (integration with other cloud services, multilingualism, number of users, user roles, data warehouse). The procedure of applying the method of expert evaluation of cloud oriented system for distance learning was presented, which consisted of two stages of the questioning of experts: in the first, out of ten proposed such systems, five were selected; on the second, one out of five systems (MoodleCloud, iSpring Online, Geenio, Google Classroom, Canvas) is identified for use in the training of databases of future IT professionals. As a result, the Canvas system is found to be the most convenient. Other Instructure software products for higher education have been covered, including: Canvas Network MOOC Platforma platform for mass open online courses; Canvas Catalog is a cloud service that allows educational institutions or individual teachers to host their e-courses; Bridge is a cloud-based, corporatebased distance learning system; Canvas Commons (integrated with Canvas)a repository for storing educational resources, contains lesson plans, quizzes and surveys, e-courses and training programs developed by teachers of schools and higher education institutions. The study of such cloud oriented system for distance learning allowed to distinguish their characteristics for use in higher education institutions: functionality, reliability, cost of the system, modularity, perspective of system development, availability, high-quality technical support.
The article presents the results of a pedagogical experiment on the implementation of a cloud-oriented environment in the learning of databases (COELDB) of future computer science professionals. During the pedagogical experiment for teachers of institutions of higher education were held training seminars "Blended learning as a modern form of organization of educational process", "Using a cloud-oriented environment in the education of future computer science professionals", master class "Cloud-oriented system of Distance Learning Canvas". The main purpose of the pedagogical experiment is to substantiate and objectively test the effectiveness of the developed methodology as a means of increasing the level of professional competence of future computer science specialists in the use of COELDB. During the pedagogical experiment, control and experimental groups were formed, the ascending section in the control and experimental groups were conducted in order to determine the level of formation of the specified competence of students in the use of COELDB and the final section in the control and experimental groups to determine the level of professional competence of students, and analysis was made, processing and summarizing the results of experimental work. Thus, if at the beginning of the forming stage of the experiment, according to the results of the ascending section, the distribution of students in control and experimental groups with respect to the levels of students' professional competence in the use of COELDB training coincides with the significance level of 0.05, then by the end of the experiment, by the results of the final section, control and experimental groups characteristics at a significance level of less than 0.01. The results of the pedagogical experiment prove that the application of the method of using COELDB training leads to an increase in the level of professional competence of future computer scientists in the use of COELDB.
The dynamics of the mass of internal organs (heart, lungs, liver, kidneys, spleen) of wild pigs of different age groups according to generally accepted methods in biology has been research was conducted.
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