Research Activities in the Organization of Professional Activities of Students of Service Studies
Zhanna V. Smirnova1, Zhanna V. Chaykina2, Olga I. Vaganova3, Marina L. Gruzdeva4, Elena N. Galkina5

1Zhanna. V. Smirnova, Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation.
2Zhanna. V. Chaykina, Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation.
3Olga I. Vaganova, Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation. Marina
4L. Gruzdeva, Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation.
5Elena N. Galkina, Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation

Manuscript received on 30June 2019 | Revised Manuscript received on 05July 2019 | Manuscript published on 30 July 2019 | PP: 231-235 | Volume-8 Issue-9, July 2019 | Retrieval Number: H6891068819/19©BEIESP | DOI: 10.35940/ijitee.H6891.078919
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Abstract: Relevance: В under the conditions of reforming the characteristics of the Russian system of higher education are gradually changing in accordance with the General directions of development of modern society. The role of professionalism, personal activity of the student, his interest in self-improvement and readiness for self-education increases. The understanding of education is formed not as a process focused on the transfer of ready-made knowledge from teacher to student, but as a comprehensive system aimed at individualizing the student’s mastery of the skills necessary for successful employment in the labor market.This approach to education is based on the development of professional thinking of students by shifting the emphasis of educational work on independent activities of students and its motivation. Independent work of students is considered as a methodological basis for achieving strong and in-depth knowledge, professional competencies, formation of cognitive activity and commitment. Excel software environment, which makes it possible to run cluster analysis of large amounts of statistical data promptly and with minimal time expenses. Conclusion: The paper’s authors consider that the automation of clustering process in the Microsoft Excel software environment allows decreasing time significantly. The process of cluster analysis in the MS Excel program without the use of add-on is very labor-intensive and requires a lot of time to complete it. Also, in case of very large number of items, the time for running cluster analysis significantly increases and when the number of items is estimated in hundreds and thousands, the time of effective cluster analysis running can be estimated in days, which is very ineffective. The use of add-in doesn’t require special knowledge on the mechanism of running cluster analysis from the user and takes a few seconds to complete it.
Keywords: Research Activity, Research Study, Future Specialist’s Professional Development Model, Student Publication.

Scope of the Article: Data Mining