Cloud Technologies in Learning: Ontological Approach

Abstract

The article considers an ontological approach to the creation and use of learning information systems and learning process management systems that operate in a cloud environment. The proposed ontological approach provides an opportunity to implement learning processes, supporting the sharing of both users (students, teachers, methodologists, etc.) and different training courses of common learning content stored in the cloud. The result of using cloud technologies and ontologies is the ability to make the necessary adjustments to the set of goals and objectives of the learning process, the learning process, the course, the requirements for the level of knowledge and competence of students. An ontological approach to building learning systems operating in a cloud environment is proposed. It is advisable to use the developed ontological model when implementing learning system in managing learning processes in higher educational institutions. The constructed ontological model provides an opportunity to implement continuous improvement of learning processes, supporting the sharing by both users (students, teachers, methodologists, etc.) and different training courses of common training content stored in the cloud. The result of using cloud technologies and ontologies is the possibility of making the necessary adjustments to the set of goals and objectives of the learning process, to the learning process, the training course, to the requirements for the level and competencies of trainees on the part of employers and / or the state. The developed ontological model of learning processes allows, using cloud technologies, to form a space of learning content. Sharing learning content across learning systems has not only enabled the use of ready-made, high-quality learning materials developed by the best teachers, but also reduced the time and resources spent on transferring content from one system to another. The proposed approach uses the integration of technologies such as: ontological modeling, intellectualization and informatization, as well as cloud technologies. The use of these technologies makes it possible to predict the occurrence of emergency situations in the learning process.

Cotton drip irrigation using magnetic technology

“…The designer of magnetic devices and systems is Professor Yu. P. Tkachenko, under his leadership more than 300 topics were studied, including agriculture, food biotechnology, medicine, ecology [1].…”

“…5. Device placement example.The following formula was used to calculate the irrigation rate (1): mnet = 100 × h × a × S × (Wmfmc -Wmmmc), m 3 / hа(1)…”