VR-LABORATORY AS A KEY COMPONENT OF CLASSROOM ENVIRONMENT FOR AGRICULTURAL UNIVERSITY STUDENTS

The paper considers some specific features of using the VR-laboratory as a structural division and a component of the classroom environment for training agricultural university students in the Russian Federation. The authors define the concept of a VR-laboratory as one of the key components of the classroom environment required for the implementation of agricultural university curricula, and also comment on the duality of the guided development of competences (general and professional ones) through the use of VR-laboratory equipment both as an object of study and as a means of training. Recommendations are given on the use of a VR-laboratory in the organizational and management structure of higher educational institutions, as well as on its teaching staff and content aspects, taking into account the teaching staff age characteristics. Using the BPMN2.0 notation, the authors developed and proposed for use an informational model of independent training of students in VR laboratories of domestic agricultural universities. It is noted that the use of virtual reality tools in agricultural university curricula demonstrates a number of advantages, including safe controlled conditions for practical training, the ability to visually broadcast the advanced industrial experience of the regions of Russia and abroad, overcoming the problem of limited natural anatomical, geological-mineralogical, technical and other samples, as well as independence from weather conditions and geographic distance. The use of a VR laboratory in an agricultural university in accordance with the developed information model and timely replenishment of the training content infrastructure will ensure steady digitalization of the training process and increase the competitiveness of graduates in the labor market.

1. Кубрушко П.Ф., Назарова Л.И., Симан А.С. Подготовка преподавателей к инновационной педагогической деятельности в условиях цифровизации аграрного образования // Вестник ФГОУ ВПО «МГАУ имени В.П. Горячкина». 2019. № 5 (93). С. 40-45. DOI: 10.34677/1728-7936-2019-5-40-45.

2. Гриншкун А.В., Левченко И.В. Возможные подходы к созданию и использованию визуальных средств обучения информатике с помощью технологии дополненной реальности в основной школе // Вестник РУДН. Серия «Информатизация образования». 2017. Т. 14. № 3. C. 267-272. DOI: 10.22363/2312-8631-2017-14-3-267-272.

3. Гриншкун А.В. Об эффективности использования технологий дополненной реальности при обучении школьников информатике // Вестник Московского городского педагогического университета. Серия «Информатика и информатизация образования». 2016. № 1 (35). С. 98-103.

4. Мареев Г.О., Мареев О.В., Данилова Т.В. и др. Обзор систем виртуальной реальности для обучения хирургическим навыкам в области лица и шеи // Мир науки, культуры, образования. 2015. № 6 (55). С. 92-96.

5. Хасанова Г.Ф. Виртуальная реальность в инженерном образовании химического профиля // Казанский педагогический журнал. 2019. № 1 (132). С. 43-49.

6. Li K., Wang Sh. Development and application of VR course resources based on embedded system in open education. Microprocessors and Microsystems. 2021. Vol. 83. Article 103989.

7. Narayan H. Gandedkar, Matthew T. Wong, M. Ali Dar-endeliler. Role of virtual reality (VR), augmented reality (AR) and artificial intelligence (AI) in tertiary education and research of orthodontics: An insight. Seminars in Orthodontics. 2021. URL: https://doi.org/10.1053/j.sodo.2021.05.003 (дата обращения: 13.06.2021).

8. Siedler C., Glatt M., Weber P. et al. Engineering changes in manufacturing systems supported by AR/VR collaboration. Procedia CIRP. 2021. Vol. 96. P. 307-312.

9. Симбирских Е.С., Рачеев Н.О. Дидактический потенциал робототехнических VR-конструкторов в программах подготовки агроинженеров для отечественного АПК // Агроинженерия. 2021. № 2 (102). С. 75-79. DOI: 10.26897/2687-1149-2021-2-75-79.

10. Milgram P., Kishino F. A Taxonomy of Mixed Reality visual displays. IEICE Transactions on Information and Systems. 1994 vol. E77-D, no. 12(12): 1321-1329. URL: https://cs.gmu.edu/~zduric/cs499/Readings/r76JBo-Mil-gram_IEICE_1994.pdf (дата обращения: 16.05.2021).

11. Kubrushko P.F., Alipichev A.Y., Kozlenkova E.N. et al. Digital competence as the basis of a lecturer's readiness for innovative pedagogical activity. Journal of Physics: Conference Series. 2020. Vol. 1691 (1). Article 012116. DOI:10.1088/1 742-6596/1691/1/012116.

12. Alipichev A., Nazarova L., Shingareva M. et al. Improving the credibility of pedagogical diagnostics in E-Learning. CEUR Workshop Proceedings. 2020. Vol. 2861. P. 203-209.

13. Симан А.С., Жиляева В.В. Тенденции развития и современное состояние электронной информационно-образовательной среды университета // Доклады ТСХА. М.: РГАУ-МСХА имени К.А. Тимирязева, 2020. Вып. 292. Ч. 6. С. 73-77.