THE MODEL OF THE INTELLIGENCE SYSTEM FOR THE ANALYSIS OF QUALIFICATIONS FRAMEWORKS OF EUROPEAN COUNTRIES

Authors

  • Viacheslav Osadchyi
  • Kateryna Osadcha
  • Volodymyr Eremeev

DOI:

https://doi.org/10.47839/ijc.16.3.896

Keywords:

the Bologna process, descriptor, intelligence system, artificial intelligence, qualification, set, model, qualification level, qualifications framework.

Abstract

The paper presents the model of the intelligence system for carrying out the comparative analysis of qualifications frameworks of European Countries. The conceptual construct of the model consists of national qualifications frameworks, qualification levels and descriptors such as Knowledge, Skills etc. Each notion is matched with a set of semantic elements which are determined in the field that characterizes all the components of European frameworks. The model allows a user to determine a quantitative measure of correlation between frameworks and qualification levels in different countries. The proposed model of the intelligent system is based on the concept of knowledge base application in the process of solving various tasks, depending on user needs. Such a system is, as a matter of fact, an expert system. At present there is not any universal body of logics and mathematics which could meet requirements of any IS developer. Our model is developed on the basis of special knowledge related to the classification of European education levels in the context of the Bologna process.

References

The European Higher Education Area in 2012: Bologna Process Implementation Report, Brussels: Eurydice, 2012, 220 p. [Online]. Availiable: www.eacea.ec.europa.eu/education/eurydice.

Dublin descriptors. The European qualifications framework of higher education, 2014, [Online]. Availiable: www.tempus-russia.ru/Tem-pus-3call.pdf.

Yu. M. Rashkevych, The Bologna Process and the New Paradigm of Higher Education, Monograph, Lviv, Lviv Polytechnic University Publishing House, 2014, 168 p. (in Ukrainian).

National Qualifications Framework of Russian Federation, Project of Russian Federation, 2012, [Online]. Availiable: www.nark-rspp.ru/?page_id=328. (in Russian).

National Qualifications Framework Developments in Europe. Anniversary Addition, Luxembourg, Publications Office of European Union, 2015.

E. B. Hunt, Artificial Intelligence, New York, San Francisco, London, Academic Press, 1975, 558 p.

S. J. Russell, and P. Norvig, Artificial Intelligence, trans. from English, Moscow, Saint Petersburg, Kiev: Williams, 2006, 1408 р. (in Russian)

I. M. Makarov, V. M. Lokhin, Intelligent Automatic Control System, Moscow: Fizmatlit, 2001, 576 p. (in Russian).

D. G. Dosyn, V. V. Lytvyn, Yu. V. Nikolsky, V. V. Pasichnyk, Intelligent Systems Based on Ontologies, Lviv: Civilization, 2009, 414 p. (in Ukrainian).

O. V. Nevmerzhytskyi, “Analysis of modern knowledge-oriented models and decision making methods,” Information Technology of Design, vol. 13, pр. 119-125, 2013. (in Ukrainian).

T. A. Gavrilova, V. F. Khoroshevsky, Knowledge Base of Intelligent Systems, St. Petersburg: Piter, 2000, 384 p. (in Russian).

P. Jackson, Introduction to Expert Systems, 3rd edition, Hardbound – Addison Wesley Publishing Company, 1998. 560 р.

P. Domingos, The Master Algorithm: How the Quest for the Ultimate Learning Machine will Remake our World, Moscow: Mann, Ivanov and Ferber, 2016, 336 р. (in Russian)

G. V. Rybina, Theory and Technology of Construction of Integrated Expert Systems, Moscow: Nauchtehlitizdat, 2008, 485 p. (in Russian)

V. V. Lytvyn, R. R. Darewych, D. G. Dosyn, N. V. Shkutiak, “Design of intelligent agents when making decisions in feature space using the ontological approach,” Artificial Intelligence, no. 4, рp. 398-403, 2010.

V. V. Osadchy, K. P. Osadcha, S. V. Sharov, V. S. Eremeev, “The concept of intelligent system of information and cognitive support of National Qualifications Framework functioning,” Collected Works “Information processing systems”, vol. 12 (137), pp. 88-92, 2015. (in Ukrainian).

“National qualifications framework of Ukraine,” Resolution of the Cabinet of Ministers of Ukraine, November 23, 2011, no. 1341, Kyiv, [Online]. Available: www.zakon3.rada.gov.ua/laws/show/1341-2011-%D0%BF (in Ukrainian).

Order of the Ministry of Labour and Social Protection of the Russian Federation of 22.01.2013, no. 23, “On the approval of skills levels for the development of professional frameworks drafts,” [Online]. Available: http://www.rosmintrud.ru/docs/mintrud/orders/48. (in Russian).

I. A. Fedorova, “Comparative analysis of the national frameworks of qualification in the higher education area in Russia and European Union,” Omsk Scientific Bulletin. Psychological and Pedagogical Aspects of Science, no. 2-86, pр. 143-146, 2010 (in Russian).

R. Thiagarajan, G. Manjunath, M. Stumptner, “Computing semantic similarity using ontologies,” in Proceedings of the International Semantic Web Conference (ISWC’08), Karlsruhe, Germany, 2008, [Online]. Available: http://www.hpl.hp.com/techreports/2008/HPL-2008-87.pdf.

E. G. M. Petrakis, G. Varelas, A. Hliaoutakis, P. Raftopoulou, “Computing semantic similarity between concepts from different ontologies,” Journal of Digital Information Management, vol. 4, issue 4, pp. 233-237, 2006.

S. Vijay, “Combined method to measure the semantic similarity between words,” International Journal of Soft Computing and Engineering (IJSCE), vol. 1., issue-ETIC2011, рp. 49-54, 2012.

H.-D. Li, Q.-C. Chen, X.-L. Wang, “A combined measure for text semantic similarity,” in Proceedings of the International Conference on Machine Learning and Cybernetics, 2013, vol. 4, pр. 1869–1873.

N. E. Chapaykina, “Semantic analysis of texts. The main provisions,” Young Scientist, no. 5, pp. 112-115, 2012. (in Russian).

A. Miroshnichenko, “National qualifications framework in Ukraine,” Community of Personnel Officers and Professionals of Human Resources Management, 2010, [Online]. Available: http://hrliga.com/index.php?module=profession&op=view&id=1251 (in Ukrainian).

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Published

2017-09-30

How to Cite

Osadchyi, V., Osadcha, K., & Eremeev, V. (2017). THE MODEL OF THE INTELLIGENCE SYSTEM FOR THE ANALYSIS OF QUALIFICATIONS FRAMEWORKS OF EUROPEAN COUNTRIES. International Journal of Computing, 16(3), 133-142. https://doi.org/10.47839/ijc.16.3.896

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Articles