Анализ и прогнозирование притока оплат на массовых открытых онлайн-курсах (МООК) на платформе Coursera
This paper is devoted to the analysis of the MOOCs by the example of NRU HSE MOOCs on Coursera. It is assumed that the user’s behavior at the MOOCs depends on a number of factors, such as the name of the course , language, theme, etc. Thus, in this article we attempt to analyze the MOOCs and predict the profitability of an online course with certain parameters that allow to pre-determine and configure the parameters for creating a MOOCs demanded by the audience.
This study investigates main problems of automation and optimization of educational processes with the help of BPMS and Big Data. The questions concerning process modeling are raised, particularly related to the integration of process-oriented and business analysis systems. The main goal of study is to find possible new way to implement the ideas of metadata integrity, closed-loop process controls, data storage adapters and hidden processes discovery. These ideas are proven to be necessarily implemented in the new complex type of information systems and the corresponding methodology. The new structure for this type of systems is introduced with brief explanations of solutions and methodologies chosen for the task. The concept of process repositories, which could be found in previous works, is developed: process repositories are shown as the basis to create standardized interoperable components for the global educational information system. The working prototype partially implementing the concept is demonstrated in the case of online learning resources usage. The prototype describes the key aspects: metadata descriptions, data gathering and process mining. This leads to real prototype implementations of all elements introduced as the part of complex theoretical structure. The study proposes means to improve prototype and build the complete system out of it. In conclusion, the examples of working applications based on the idea are listed. The new complex structure, methodology description and working prototypes are the results of this study
Electronic support of higher education is a popular trend in distance education, but classroom studies lack information support and therefore depreciate comparing to MOOC versions, having advantages in real-life workshops and possibility of personal contact with teacher and other students.
This paper describes educational experiment in convergence of educational models conducted at MIEM NRU HSE in 2013 and the factors that made it possible and allow for wide implementation in the universities.
This article describes an approach to assessment of assignments in online course “Computer Graphics” and in-class course “Video Technologies” held on MOOC platform Stepic and self-made platform for evaluation of graphical assignments for editing, encoding and composing video. This approach is suitable for assignments of various formalization.
The consololidation of groups learning academic disciplines requires students’ works to be assessed automatically. This way helps to avoid subjectivity in evaluation, butlimits the depth of knowledge and skills that can be evaluated that decreases the quality of teaching the discipline. This study analyses the method of peer review, familiar to MOOC students, applied to essays of in-campus students during two years.
The article compares the results of learners which had been studying economics in two different ways - traditional education with lectures/seminars and online education (as part of the massive open online course). In both cases, students were asked identical questions on the same topic of the introductory course in economics. Classes was conducted by the same teacher. According to the comparison results, secondary school pupils demonstrated better performance than online-learners. However adult students of the second higher education program had results very close to the results of online students (such as grade distribution, average score for every question).
Institutions affect investment decisions, including investments in human capital. Hence institutions are relevant for the allocation of talent. Good market-supporting institutions attract talent to productive value-creating activities, whereas poor ones raise the appeal of rent-seeking. We propose a theoretical model that predicts that more talented individuals are particularly sensitive in their career choices to the quality of institutions, and test these predictions on a sample of around 95 countries of the world. We find a strong positive association between the quality of institutions and graduation of college and university students in science, and an even stronger negative correlation with graduation in law. Our findings are robust to various specifications of empirical models, including smaller samples of former colonies and transition countries. The quality of human capital makes the distinction between educational choices under strong and weak institutions particularly sharp. We show that the allocation of talent is an important link between institutions and growth.
The manual is intended for students of Department of computer engineering MIEM HSE. In the textbook based on the courses "Economics of firm" and "the development strategy of the organization." Discusses the key conceptual and methodological issues of the theory and practice of Economics and development planning of the organization. The use of textbooks will enable students: to analyze key performance indicators, and use the tools of strategic analysis with reference to concrete situations in contemporary Russian and international business. Special attention is paid to the methods and systems of information support of the life support functions of business organizations and management methodology of innovation and investment. An Appendix contains source data for analysis of competition in a particular industry.
The paper provides a number of proposed draft operational guidelines for technology measurement and includes a number of tentative technology definitions to be used for statistical purposes, principles for identification and classification of potentially growing technology areas, suggestions on the survey strategies and indicators. These are the key components of an internationally harmonized framework for collecting and interpreting technology data that would need to be further developed through a broader consultation process. A summary of definitions of technology already available in OECD manuals and the stocktaking results are provided in the Annex section.
Over the last two decades national policy makers drew special attention to the implementation of policy tools which foster international cooperation in the fields of science, technology, and innovation. In this paper, we look at cases of Russian-German collaboration to examine the initiatives of the Russian government aimed at stimulating the innovation activity of domestic corporations and small and medium enterprises. The data derived from the interviews with companies’ leaders show positive effects of bilateral innovative projects on the overall business performance alongside with major barriers hindering international cooperation. To overcome these barriers we provide specific suggestions relevant to the recently developed Russian Innovation Strategy 2020.