The paper discusses the technological capabilities of virtual reality (VR) in the field of education as a highly developed form of computer modeling. VR is con-sidered to be able to revolutionize the education field since it provides better en-gagement in learning activities than other teaching methods. In order to study the impact of VR technology on ensuring the quality of e-learning, an experiment is conducted during the Physical Geography online course. The current research in-volves 60 third-year students from the Abai Kazakh National Pedagogical Uni-versity, Moscow Pedagogical State University, and Ajman University. All the re-spondents were divided into two groups. The training of the first group is under-gone through distance learning in the Moodle e-learning system, while the educa-tional process of the second is supplemented with the technological capabilities of the latest VR services (Google Earth, Apple Maps, My Way VR, The VR Muse-um of Fine Art). During the study, students’ subjective assessment of the training is performed according to the basic, expected, and desirable criteria. The exami-nation is carried out in two stages - before and after the course. At the first stage of the assessment, the use of VR corresponds to the desired quality of the educa-tional product. However, after the course and the acquiring of virtual experience, the transfer of the students' desired training criteria into the expected can be ob-served. This indicates a high degree of adaptability of VR technology in educa-tion as well as an increase in the respondents' requirements against the quality of subsequent training courses. Consequently, a significant impact of immersive technology's evolution on the demands on the e-learning quality can be noted.
The purpose of the study is to develop and test the original model which illustrates the development of personality in the information society. The study involved two Russian universities, higher educational institutions of the Arab Emirates and Kazakhstan. A total of 400 students participated in the research. The experiment consisted of three stages: introductory, experimental, and final. At the introductory stage of the study, the influences of the information society on the development of human personal qualities were analyzed. At the experimental stage, the original model which illustrates the development of personality in the information society was developed and implemented. At the final stage, the students were surveyed in accordance with the original methodology for the use of the capabilities and resources of the information society for personality development. After the implementation of the model, the number of students using the capabilities of the information society for personal development, the development of professional skills, and maintaining and strengthening health increased by 18.5%, 18.7%, and 10%, respectively. The practical value of the scientific research results relates to the possibility of using the questionnaires and models of personality development in the context of the information society in the higher education system of Russia, the Arab Emirates, Kazakhstan, and other countries. The model described in the study is relevant in the context of the transfer of the educational process in higher education to a distance format and the growing social isolation of an individual caused by the coronavirus pandemic.
The popularity of unmanned aerial vehicles (UAVs) kept growing over the past few decades. UAVs are widely used in various fields for monitoring, mapping, aerial photography, rescue operations, and so forth. However, the UAV navigation may be difficult in areas where global positioning systems is not available. This article presents an analytical review of the promising methods of creating a navigation system based on a pattern recognition algorithm. Linear algebra and mathematical morphology to describe the operation of pattern recognition applications in UAV's navigation systems, classification of images through profound research of intelligent navigation systems, analysis and digital image processing to identify options for the implementation of artificial intelligent systems of visual navigation were used to identify existing pattern recognition applications in the process of constructive systematization. It was shown that the UAV navigation requires objects in the image to be recognized and the distance to a possible obstacle to be estimated using deep learning method for image segmentation and depth map estimation. An obligatory initial point in the image recognition algorithm is the image preprocessing procedures based on machine vision techniques. The results of this study may be useful in developing efficient UAV applications for military and civil purposes.
Educational applications play an important role in modern education. Based on this, the objectives of this study are as follows: analyze a student interview (focus group) that has been conducted among University student of college of Mass Communication at Ajman University; determine the characteristics of educational applications; find out possible advantages and disadvantages of educational applications; formulate, including based on a student interview, criteria for choosing educational applications; divide educational applications into different categories to more fully see the academic possibilities of their use; develop student skills. Based on the objectives, it is decided to divide the study into two parts. The first step is to analyze semi-structured interviews that have been conducted with students. In the second part of the study, a list of educational applications is compiled, indicating their educational categories.
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