The authors of the study describe the methodical and linguodidactic specifics of course design "Profession-oriented German" within the FL course for postgraduate engineering students. The relevance of the study lies in the fact that this course was designed jointly by teachers and students and was the result of distance work during the COVID-19 pandemic. The novelty of the study lies in the fact that the communicative-activity approach in independent work has been transferred to the distance learning. The purpose of the research is to describe the internal structure of the course; show what professional, linguistic and speech competencies are formed with this distance course; do a pedagogical experiment demonstrating the course possibilities in the implementation of "Profession-oriented German" distance learning for postgraduate students; prove the innovativeness and productivity of the distance learning model in the Master's degree programme. The materials of the research are e-learning manuals, createded by the teachers of the department; the discipline work program; results of students' questionnaire. Descriptive, project-based, comparative, and statistical methods are applied in the study. While doing the experiment, the innovation and productivity in the transformation of a classroom course into a distance one was proved, which are manifested in the following: 1) the ability to develop students' professional, communicative and linguistic competencies; 2) the development of students' individual trajectory; 3) expanding socio-cultural potential; 4) the development of students' intellectual potential; 5) the intensification of the learning process. As a result of the experiment 1) the methodology and technique of using distance technologies in organizing the project activities for postgraduate students are described; 2) an algorithm for constructing a distance course in linguistics in the Master's degree programme is designed 3) methodologies and techniques for the use of ITs in the formation of a new Russian university model is developed.

During Covid-19 pandemic most activities in higher education institutions have experienced changes, most of them being moving to the online environment even internal communication. This study aims to explore whether internal communication during Covid-19 pandemic has had any effect on communication between university and his audiences/members. This study analyzes previous literature about the concept of internal communication and knowledge management and then it approaches the internal communication in a higher education institution in Romania, the University of Bucharest (UB) during Covid-19 pandemic. It explores the possibility the university has had starting with March 2020 to communicate with its audience/members through more informal channels in parallel with the formal channels. Internal communication (IC) is considered one of the most important parts in the functioning of a university. Its impact goes beyond the routines and the collaboration between different departments depends on the employee motivation and engagement. In order to create a friendly, productive, harmonious and respectful work environment an adequate internal communication with a positive impact on the environment is necessary. The image of an institution is created through communication which can improve the interaction. Internal communication during Covid-19 pandemic is an opportunity to analyze this practice from the perspective of multi-cultural and cross-disciplinary, institution performance, personnel commitment and trust in management (Men, L.R., Yue, C. A., 2019) in higher education during health crisis. There is potential for studies on the impact of internal communication on crisis moments and the opportunity for the universities to reinvent and to adapt to the new challenges imposed by the pandemic.

Education during pandemics was disrupted by the social distancing restrictions that were imposed by authorities. In this context, education was moved online together with all the knowledge assessment mechanisms like online examination. Oral online exams are good methods to examine students but it requires a lot of resources like time and tutors which usually universities cannot afford to allocate. Usually, exam results must be provided in a few days from the exam date and session periods are short. Written online examinations are prone to cheating due to the availability of multiple communication channels between students or students or third parties. Several cases were reported by tutors and they had to be discussed in the faculty's management board. Expelling students from universities for cheating reasons may result in serious financial shortages. The only feasible way is to keep away students from cheating in online exams. One potential solution in this sense is to generate unique sets of subjects for each student and to allocate a limited amount of time for solving each subject. Thus, the solution of one student will not be reusable by others. On the other hand, the time limit will restrict the capacity of communication between students when supervised by video cameras. The video cameras must be at least two: one for identifying the student's face and the other focused on the written paper. To generate unique exam subjects, we propose an abstraction process to infer a template and a synthesis process where the template is instantiated with data computed from random numbers. The approach was tested on a group of 29 students and no cheating incidents were reported.

Innovation in any field is now more than ever one of the most delicate and challenging topics of the 21st century. The multidimensionality of the contemporary reality results from understanding the connections made between the societal domains through the actions of the actors involved in the field of security. This requires redefining the specialist in the field of national security and implicitly the educational system designed according to the model of the connections between the societal fields. Starting from the hypothesis that the reality of the relations existent in a system of systems on societal fields, involves three directions of development of the military specialist: the military analyst, the military planner and the military decision maker, we resorted to an extrapolation of the concept of "soft systems methodology in the field of military design thinking". Establishing the reference database, training and working with the analysis tools are only some of the fundamental components that underlie the training of the military specialist in the process of making the best decisions in a crisis situation. Obtaining an expected result or achieving the desired end state in a military operation implies going through the algorithm of identifying the connections between the objectives established in the planning process. Risk management in a military operation in a societal context requires the positioning of the military specialist in the middle of a system of educational systems based on the concept of collaborative work on the E-learning platform as a projection of the connections of the societal fields in the area of security.

Sleep represents a main factor for a healthy lifestyle. It improves health and quality of life in many ways: 1) it is vital for physical health; 2) it is essential for mental health; 3) improves memory and focus and 4) promotes personal and public safety. Sleep is a basic biological function that undergoes changes along with ageing and many pathological conditions. Some changes due to age are so deep that it is hard to distinguish between ageing and disease. Each person is different, considering the activities they perform that influence the sleep during the night, but also their metabolism, age etc. Different methods are therefore needed to explain the variation in sleep patterns for many people. Also, physical activity and sleep are highly interrelated health behaviours. The physical activity during the day influences the quality of sleep, and vice versa. The purpose of this paper is to present a system for creating a user profile based on his sleep behaviour. Based on the learnt profile, the system will automatically detect changes in the user's sleep pattern. If there are changes, the system will automatically check other medical parameters: heart rate, respiratory rate, physical activity during day (eg. number of steps, number of stairs). In case of existing abnormal values, an alarm message will be sent to the user with some suggestions regarding his daily programme. Data analysed is collected using two sensors: Emfit QS sensor for sleep monitoring and Fitbit for physical activity monitoring. In case of sleep, different machine learning methods were applied through pairs of sleep parameters (eg duration in rem versus total sleep duration, duration in light versus total sleep duration, duration awake versus total sleep duration, activity versus toss and turns count) in order to learn the profile of the user. The learning method is based on regression models. The regression is performed on a variable number of days in order to find a model that will learn the data set. For each number of days used for training, the model score will be calculated on the following days, and in the end, the model that has managed to obtain the highest score will be chosen. The models used are simple linear regression, polynomial regression, regression trees and regression support vectors. The models were evaluated on data collected from three users. The data sets used for the evaluation of each user was collected over a period of six months. The following models have proven to be common to all users: the model that learns the correlation between the variation of sleep duration in the light stage versus the total sleep duration. Thus, the proposed system will be able to generate alerts or recommendations using his sleep pattern. In case of differences between his history, the user will receive information that will help him to correct his lifestyle. Through the learning profile of the user, the system will proactive supervise him, making possible to reduce the possibility of illness.

The purpose of this paper is to analyse the reasons for the success of the Modern and Contemporary American Poetry Course held by Professor Al Filreis from the University of Pennsylvania, held on Coursera platform. Among the success factors, based on participants' feedback, we find the interaction with the instructor and teaching assistants, as well as with other students, which is found to a larger extent than in other MOOCs. Reasons for the use of the strategies will also be explored. We know from Hofstede's cultural dimensions that the USA score low on the power distance index, meaning that the relationships with authority are friendly and on equal terms. The interaction teacher - student is done in the same way in the offline as in the online media, with the same type of communication, low-context since the US relies on explicit communication. Otherwise, we notice how creativity of the students is encouraged, as they are given the freedom to express their opinions on the poems studied, another feature of low power distance cultures in the field of education. The benefit of such a course is that it encourages students to see poetry as accessible and as a means to express themselves freely and become more aware of how they feel when they react to understanding poetry. Students of all ages can share their experiences in the interpretation of the poems. The way the course is taught is in tune with the way contemporary poetry claims to be anti-elitist and thus accessible to everyone.

The article discusses current issues of distance learning in the field of urban development, identifies the main concepts of educational technologies used in training, and suggests possible solutions to problems, describes the issues presented in electronic form of training, conducts a comparative analysis of the main forms of education and compares trends and world experience in the field of informatization of education. The prerequisites for the emergence of distance education in the field of urban development are briefly described, certain patterns and problems of implementation are identified, current issues of implementation are described, and the feasibility of the effective use of this form of training in modern realities of society is compared. The general patterns of the emergence of needs in this type of service are determined. In addition to the problems associated with the introduction of this technology, the article analyzes issues related to the creation of their own teaching concepts and technologies that could saturate the demand in the educational services market. Priority problems in creating training software tools are identified. If the educational institution is budgetary, then in the conditions of the current socio-economic crisis, problems with its implementation may arise to implement this decision. According to the authors, for the successful implementation of new technologies it is necessary to place all potentially effective teaching methods for a special assessment by an expert group to assess the quality component of such teaching technologies. It is concluded that it is necessary to consider issues related to the creation of national training technologies that could have qualitatively new information.

The modern society, state and the situation in such areas as economics, technology politics require a proper knowledge of foreign languages from the future specialist, which is undoubtedly a competitive advantage when applying for a job. The purpose of this paper is to consider the issue of vocabulary teaching to students at non-linguistic faculties and universities. The relevance of this study is up to the altering requirements for a future university graduate, who must be able to make a successful communication in different spheres speaking at least one foreign language. The novelty of the study is a comprehensive description of the problems associated with teaching the foreign language vocabulary. The vocabulary being the most important part of the language material, largely determines the content of training. Speaking about the forms of a word, there means not only its sound form. Material and methods of research are analysis of domestic and foreign literature in the field of linguistics, linguodidactics, methods of teaching the foreign language vocabulary; survey on the experience of teaching the foreign language professionally-oriented vocabulary at non-language faculties and generalization of the personal experience; The use of ICT at foreign language lessons at a non-linguistic university significantly simplifies the process of memorizing material (vocabulary and grammar material), increases the efficiency of interaction between a teacher and a student. The interactive forms of educational resources increase the motivation and interest of students in the subject. Such forms of work contribute to good learning of the material, increase the information and communication competencies of teachers and students.

Mind mapping is the well-known approach for visualization the complex topics in education. In [1] we propose the synthesis of active and passive ways for using mind maps in education practice. By this way we need construct the software tool for building mind maps with special requirements. First of all, this is the limitations for the set of mind map nodes. Student will select for placement on mind map only nodes from the set of items from dictionary of current lesson topic. And may be from the course main glossary. This limitation is necessary for automatic pre-evaluation the quality of student's mind maps. The value of quality will calculate on the base of the measurement of distance between original teacher's and student's mind maps. So we need to make the three solutions: 1. Haw to find the set of termins for the actual topic? Glossary is the one of typical course resource in the learning management system Moodle. In [2] we present the simple tool "wordstat 2.0" for term selections from the course content documents set. 2. Provide the easy tool for mind mapping. We assume that the fast solution can be reached on the basis of modifying the open source software. The allowable opportunity is about using text-only environment, like Text2MindMap online tool. 3. Evaluation the maps structure (dis)similarities. The mind map has the graph structure. So the mind maps quality measurement can be estimate via comparison the graph structure similarities. It is well known task. There is no problem for getting the graph structure from outline text or from XML mind map file. 1. Dubinsky, A. (2019) Mind maps for education. In: Exploring the Mind's Eye: An Interdisciplinary Conference on Imagination, October 25-26, 2019, Bilkent University, Bilkent, Ankara, Turkey. (Submitted) http://repo.dma.dp.ua/4447/ 2. Dubinsky, A. (2019) The preparation of terminological glossary for the educational course [in russian]. In: MoodleMoot Ukraine 2019, Kyiv, 24 May 2019 http://2019.moodlemoot.in.ua/course/view.php?id=23