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Along with government regulation in Russia there is a voluntary system of quality assurance via professional – public accreditation of education programs and public accreditation of education institutions. The key indicators for professional – public accreditation of programs are рrogram management, content and organization of learning, students, program resources. The key indicators used in the framework of public accreditation are international QMS standards requirements. Regardless of the form of regulating the quality of education (state of public) education institutions apply self-examination procedures according to the relevant criteria.
The quality of the education results is recognized by means of professional qualifications assessment for professional standards. The key indicator is that qualification is relevant to the professional standard requirements.
The most important indicators for providing high quality education according to providersThe respondents emphasise successful allumni’s employment (in the field, with acceptable fee), their achievements (since they have started to study) and employers’ satisfaction (as a key criterion for high quality education). Some respondents highlight the importance of correspondance to regulatory requirements. It is similar to a national key indicator that is that qualification should be relevant to the professional standard. Some replies cover the importance of managing the quality of a learning process.
Similarities / differences with EQAVET indicatorsIn general respondents are aware of EQAVET models and indicators. Majority of respondents confirmed that EQAVET cycle has been implemented in this or that way. The most frequent bottlenecks are weak focus on relevant needs / demands, (“Planning” stage) indicators evaluation and analysis (“Analysis and evidence” stage).
Some respondents named problems that they face analyzing and evaluating the activity such as shortage of time for performing the analysis that correlates with the conclusion about realization descriptors in CQAF VET model.
We may state as well relatively weak concentration on relevant needs\ demands supposingly die to labor markets needs indicators that are not comprehensive enough.
Another bottleneck that has been mentioned is time and resourse defficiency for providing high quality education.
Similarities / differences with CQAF VET indicatorsThe interview analysis shows that according to the respondents opinion indicators that reflect the interests, level and interaction with students are evaluated as the lowest in the application rating. Indicators reflecting quality of elaboration and implementation of curricula and academic results recognition are estimated a bit higher. Indicators demonstrating the structure and work performed by faculties and tutors are estimated quite high. And the highest group is represented by indicators concerning different aspect of administering education institution.
The basic challenges concerning faculty engagement and necessary support measures refer to the faculty qualification. The second significant group of challenges refers to managing the learning process and education institution as a whole, specifically to the quality management.
The respondents strongly emphasise government support for education institutions in general as well as for private people (faculty and trainers). They highligh the importance of supporting cooperation with employers and partners.
The respondents wish to get informational and methodological as well as regulatory and methodological support via professional development system. They are intersted in beign more involved in the management processes in their education institutions.
Suggested amendments / replacement for the modelAll amendments and replacement for the model are caused by the peculiarities of its usage.
The respondents suggest to evaluate teaching quality with no regard to the quality of the organization institution management, thinking that even poor managed organizations might have quality teaching.
None of the respondents said that education quality improvemenet is possible to improve if the following conditions are guaranteed:
Understanding the consumers’ requirements,
Setting the targets basing on these requirements,
Managing the targets at all levels up to the executor and fee for the achieved result.
Here is how along with Russian specificily discovered withing the project it is worthwhile to emphasise understanding of the consumers’ requirements, target-setting andf managing the education institution basing on the quality principles.
Annexes 1. Participant list
Date of interview | Name | Organisation | Signature |
26.01.2016 | Irina I. Koryagina | Ivanovo State University | |
28.01. 2016 | Andrey S Babenko | National Research Tomsk State University | |
28.01. 2016 | Sergey A. Dochkin | T. F. Gorbachev Kuzbass State Technical University | |
28.01. 2016 | Andrey A. Simatov | Transbaikal State University | |
29.01. 2016 | Irina G. Temnikova | National Research Tomsk State University | |
29.01. 2016 | Viktor V. Timchenko | The Herzen State Pedagogical University of Russia | |
29.01. 2016 | Natalya A. Kazachenko | Transbaikal State University | |
31.01. 2016 | Olga G. Echevskaya | Novosibirsk State University | |
02.02. 2016 | Tatyana G. Ozernikova | Baikal State University | |
03.02. 2016 | Natalya V. Kuznetsova | Baikal State University | |
04.02. 2016 | Nadezhda N. Babanova | Ivanovo Power Engineering Institute named after V. I. Lenin | |
04.02. 2016 | Larisa V. Romanyuk | Moscow University for the Humanities | |
04.02. 2016 | Svetlana G. Sablina | Novosibirsk State University | |
04.02. 2016 | Vladimir I. Strunin | Omsk State University n. a. F. M. Dostoevskiy | |
05.02. 2016 | Olga I. Votyakova | Ivanovo State Medical Academy | |
05.02. 2016 | Natalya L. Sheveleva | Ural State Pedagogical University | |
05.02. 2016 | Inna I. Ivanova | Yaroslavl State Medical University | |
05.02. 2016 | Valeriya I. Ivanova | Yaroslavl State Technical University | |
06.02. 2016 | Larisa M. Turanova | Siberian Federal University | |
06.02. 2016 | Konstantin E. Pisarenko | Ufa State Petroleum Technological University | |
08.02. 2016 | Svetlana B. Veledinskaya | National Research Tomsk Polytechnic University | |
08.02. 2016 | Vitaliy I. Nifontov | Ural State Pedagogical University | |
08.02. 2016 | Viktoriya A. Golkina | Yaroslavl State Technical University | |
08.02. 2016 | Alexandr A. Bolshakov | Yuri Gagarin State Technical University of Saratov | |
09.02. 2016 | Valeriy P. Shishkin | Ivanovo Power Engineering Institute named after V. I. Lenin | |
09.02. 2016 | Vera A. Shumakova | Ivanovo State Medical Academy | |
10.02. 2016 | Konstantin V. Kulakov | Ivanovo Branch of the Russian Presidential Academy of National Economy and Public Administration | |
10.02. 2016 | Olga S. Phenda | Ivanovo State Agricultural Academy named after D. K. Belyaev | |
11.02. 2016 | Nataliya A. Amosova | Financial University under the Government of the Russian Federation | |
12.02. 2016 | Sergey A. Sergeev | International Institute of Management LINK | |
12.02. 2016 | Svetlana A. Legostaeva | The Orel State Institute of Economics and Trade | |
12.02. 2016 | Ekaterina I. Mosina | The Orel State Institute of Economics and Trade |
Annexes 2. Profiles of the respondents involved
Tabl mmarized data on the respondents
Item: | Respondents N= 32 |
Role/position: TOP-namager Head of the department Faculty Specialist | 5 14 11 2 |
Years in this position: < 5 5-10 > 10 | 12 13 7 |
Public or private? public private | 30 2 |
Higher Adult Prof Education (4, 5, 6, ) 03 — Bachelor’s degree 04 — Master’s degree 05 — specialist 06 — post-graduate | 1 1 3 27 |
Pure AVET institute? Yes No | 19 13 |
Estimate average age of participants: | 21,7 |
Amount of staff: <25 25 – 49 50 – 299 300> | - - 5 27 |
Amount of students at institute: < 5000 5000 – 10000 10000 - 15000 >15000 | 12 5 4 11 |
Drop-out %:(average rate of students who quitted the HEI 6,2%): < 5 % 5 - 10 % 10 % < unable to answer | 14 10 7 1 |
Areas of education (technical, economics etc.) humanities natural sciences medical sciences social sciences agricultural sciences technical sciences | 23 15 5 20 5 18 |
ISO certified? Yes No No, but preparing to get it | 23 8 1 |
Reason using ISO: yes / no (all answers, without processing) |
|
Other QA model used? Yes / no Yes No | 19 13 |
If “yes” which one? (all answers, without processing) |
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Reason for choosing this model? (all answers, without processing) |
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Tabl 2. Each respondent's profile (in Russian)
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Из за большого объема этот материал размещен на нескольких страницах:
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