КРИТЕРІЇ ДОБОРУ ХМАРО ОРІЄНТОВАНИХ СИСТЕМ ДИСТАНЦІЙНОГО НАВЧАННЯ В НАВЧАННІ БАЗ ДАНИХ МАЙБУТНІХ ФАХІВЦІВ З ІНФОРМАЦІЙНИХ ТЕХНОЛОГІЙ

Abstract

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 Platform – a 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, corporate-based 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. Keywords: cloud services, distance learning system, cloud oriented system for distance learning, training of future IT specialists, selection criteria.