EDUCATION INTELLIGENCE SOFTWARE AS A TOOL OF INCREASING THE EFFECTIVENESS OF CREATIVE LEARNING

Authors

  • Victor Hryshachov
  • Denys Zamyatin
  • Olexy Kebkalo
  • Anton Mykhailiuk
  • Lesya Ohnivchuk
  • Volodymyr Tarasenko

DOI:

https://doi.org/10.47839/ijc.10.2.742

Keywords:

Infological and cognitive models of selftraining, individual educational trajectory, optimization of educational process, cognitive space, cognitive resource, Education Intelligence system.

Abstract

A mathematical model of learning in the way of self information-educational activity of a student is developed in his article. A method for constructing and optimizing of individual educational trajectories is proposed. The impact of the use of specialized information and analytical systems on quality scores of the learning process is analyzed. This paper introduces the concept of Education Intelligence systems and shows that their use in an education process is a powerful tool of the intensification of the training activities.

References

V.P. Tarasenko, A.Y. Mykhailiuk, M.V. Snizhko, L.M. Bigun. The functionality of specialized information-analytical systems to supportinformation-educational activities. Problems of Information and Management. – Coll. Science. papers. – Kyiv: NAU. (3) 27 (2009). pp. 123-130. (in Ukrainian)

I.V. Robert, P.I. Samoilenko. Information Technology in science and education: the training-methodical manual. Moscow: Moscow State Correspondence Institute of Food Industry of the Ministry of Education of the Russian Federation, 1998. 178 p. (in Russian)

N. Nureyev, L. Zhurbenko, D. Starygin. Model of training engineers in the metric of competence format / Innovation – 2008: Proceedings of the Intl. Conf. – Ulyanovsk: USU, 2008. pp. 478-479. (in Russian)

P.I. Pidkasisty. Independent cognitive activity of students in learning: Theoretical and experimental study. Moscow: Pedagogy, 1980. – 240 pp. (in Russian)

O.V. Shevchenko. Formation ready high school students in creative activities in teaching and creative solutions of problems: Abstract of a dissertation for the scientific degree of candidate of pedagogical sciences: special. 13.00.01; Academy for Advanced Studies and Retraining Education Ministry of Education RF. – Moscow, 2005. – 24 pp. (in Russian)

N. Nureyev. Assessing the level of competitiveness specialist. Higher education in Russia. (12) (2005). pp. 109-113. (in Russian)

N. Nureyev. Didactic space training of competent professionals in the field of software engineering. – Kazan, 2005. – 244 pp. (in Russian)

V.P. Tarasenko, V.V. Yasinsky, A.Y. Mykhailiuk, O.S. Mykhailiuk. The system approach to computer software technology educational processes. Journal University of Technology Podillya. (3) (2002). pp. 197-199. (in Ukrainian)

V. Lyholetov. Theory and technology intensification of creativity in vocational education: Abstract of a dissertation for the degree of Doctor of Pedagogy: Spec. 13.00.08 – Theory and methods of professional education. – Ekaterinburg, 2002. – 46 pp. (in Russian)

S. Goncharov. Suggestive technology training in credit-modular system of educational process: teacher’s guid. – Rovno: NUWGP. – 2008. – 118 pp. (in Ukrainian)

Quasi mathematical search text data in an electronic information resource / A. Mykhailiuk, A. Pylypchuk, M. Snizhko, V. Tarasenko / Radioelectronics and informatics – Kharkov.: KNURE. (3) (2009). pp. 61-67. (in Ukrainian)

H. Chen and S. Dumais. Bringing order to the Web: automatically categorizing search results. in Proceedings of Conference on Human Factors in Computing Systems (CHI ’00), pp. 145–152, Hague, The Netherlands, April 2000.

W. Pratt, M. Hearst, L. Fagan. A Knowledge-Based Approach to Organizing Retrieved Documents. Proceedings of the Sixteenth National Conference on Artificial Intelligence AAAI-99. – Orlando, 1999.

M. Chen, M. Hearst, J. Hong, J. Lin. Cha-Cha: A System for Organizing Intranet Search. Proceedings of the 2nd USENIX Symposium on Internet Technologies and SYSTEMS (USITS). – Boulder, 1999.

Chandra Chekuri, Michael H. Goldwasser, Prabhakar Raghavan, Eli Upfal. Web Search Using Automatic Classification. Proceedings of Sixth World Wide Web Conference. – 1996.

Soumen Chakrabarti, Byron Dom, Rakesh Agrawal, Prabhakar Raghavan. Scalable feature selection, classification and signature generation for organizing large text databases into hierarchical topic taxonomies. The VLDB Journal. (7) (1998). pp. 163-178.

Oren Zamir, Oren Etzioni. Web Document Clustering: A Feasibility Demonstration. Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval. – Melbourne, 1998.

M. Hearst, P. Pedersen. Reexamining the Cluster Hypothesis: Scatter/Gather. Proceedings of 19th Annual International ACM/SIGIR Conference. – Zurich,1996.

M. Kaisser, M. Hearst, J. Lowe. Improving Search Results Quality by Customizing Summary Lengths. Proceedings of ACL/HLT, 2008.

Bratko, B. Filipic. Exploiting Structural Information for Semi-structured Document Categorization. Information Processing & Management. (42) 3 (2006). pp. 679-694.

F. Sebastiani. Machine learning in automated text categorization. ACM Computing Surveys (2002). – ACM. (34) 1 (2002). pp. 1-47.

The content classification is partly structured and structured text documents educational orientation / O. Kebkalo, A. Mykhailiuk, V. Tarasenko // Proceedings of Fourth International Conference “New information technologies in education for all: innovative methods and models”. – Kyiv, 2009. – P. 75-81. (in Ukrainian)

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Published

2011-12-20

How to Cite

Hryshachov, V., Zamyatin, D., Kebkalo, O., Mykhailiuk, A., Ohnivchuk, L., & Tarasenko, V. (2011). EDUCATION INTELLIGENCE SOFTWARE AS A TOOL OF INCREASING THE EFFECTIVENESS OF CREATIVE LEARNING. International Journal of Computing, 10(2), 114-132. https://doi.org/10.47839/ijc.10.2.742

Issue

2011, Volume 10, Issue 2

Section

Articles

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