The article covers the issues of higher education development in the framework of innovative economy and the role of practice-oriented education technologies in this process. It presents substantial characteristics of successful international practice-oriented models, which potential can be used to solve problems that occur in the national system of education. It is shown that the successful implementation of practice-oriented programs involves the development of various forms of interaction between business and education, including: requirements for the quality of specialists' training, holding of training sessions for students by the employers' representatives¸ integration of professionally-oriented education technologies, creation within universities of innovative forms of professional employment in accordance with the learning profile, formation of professional skills of students through their immersion in professional environment, project integration.To meet labor market needs, programs are to consider the opinion of all stakeholders. In this paper, the authors first identify key stakeholders to be considered in the process of study programs development. Then they argue that online surveys are a preferable method of data collection for this purpose. Secondly, the authors focus on these online surveys being the main object of this research. They outline selection parameters which should be taken into account when planning such surveys by asking questions and giving guidelines based on practices and experiments within the universities. Thirdly, the authors identify some common pitfalls to be avoided when designing such surveys. The described survey's methodology can be accordingly included in the content of study programs in management and pedagogy.
In the academic context, it is very important to evaluate the uniqueness of reports, scientific papers and other documents that are everyday disseminated on the web. There are already several tools with this purpose but not for Armenian texts. In this paper, a system to analyze the similarity of Armenian documents is presented. The idea is to collect a set of documents of the same domain in order to identify keywords. Then, based on that information, the system receives two documents and compares them calculating the probability of plagiarism. For that, an approach based on several levels of analysis is implemented and some of those steps allow the user interaction choosing options or adding more information.
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