(2020) Science and education, 4, 48-53. Odessa.

Krugliy Dmitriy
Doctor of Technical Sciences,
associate professor,
Department of Innovative Technologies
and Technical Means of Navigation,
Kherson State Maritime Academy,
20, Ushakova Avenue, Kherson, Ukraine

USE OF DIKW METHODOLOGY FOR EDUCATIONAL PROPOSALS IN THE FRAMEWORK OF
INNOVATIVE LEARNING IMPLEMENTATION

The article analyzes the possibilities of using the DIKW-model in relation to educational proposals. The analysis brings us back to understanding the concepts of "data", "information", "knowledge" and wisdom, where the goal of teaching is to obtain knowledge, and the learning process itself leads to wisdom. The definitions of these basic concepts are considered, which will prevent their misinterpretation and substitution. It will give an opportunity to develop a model of training, which in the future will form the required specialist. The structure of this model is considered, the connections between its components are highlighted, which are of paramount importance for the development of an effective educational proposal within the framework of innovative education and increase of independent work of the higher education seeker, where the role of the teacher changes. The preparedness for real life, forming the necessary competences and teaching the student as a specialist and personality become one of the primary tasks. First, to move to the concept of "learning", it is necessary to specify the definitions of "information" and "knowledge" to understand in which case the presentation of information on the subject will lead to the formation of knowledge and in which it will remain information. We understand the need to form a future specialist’s "knowledge" and opportunities related to the category of "wisdom" under the introduction of the DIKW methodology in the educational environment. "Knowledge" cannot be replaced by an information flow or a data flow. This is a process of multiple processing of information, data, related knowledge and the copyright of the studied information is not an indicator of effectiveness. The indicator of effectiveness was defining as the ability to make the decision that is most appropriate in a given situation.

DIKW-model, data, information, knowledge, wisdom, education.

1. Allen, G. D. (2016). Hierarchy of knowledge – from data to wisdom. International Journal of Current Research in Multidisciplinary (IJCRM), 2, 1–23 [in English]. 
2. Aukett, J. (2019). The DIKW pathway: a route to effective oral health promotion. British Dental Journal, 226, 897–901 [in English]. 
3. Awad, E. M., & Ghaziri, H. M. (2004). Knowledge Management. Prentice-Hall, Upper Saddle River, New Jersey. Retrieved from http://www.sciepub.com/reference/154781 [in English]. 
4. Awad, E. M., & Ghaziri, H. M. (2004). Knowledge Management. Person education. BookVistas. New Delhi, India [in English]. 
5. Baškarada, S., Koronios, A. (2013). Data, Information, Knowledge, Wisdom (DIKW): A Semiotic Theoretical and Empirical Exploration of the Hierarchy and its Quality Dimension. Australasian Journal of Information Systems, 18, 5–24 [in English]. 
6. Bocij, P., Chaffey, D., Greasley, A., Simon, Hickie S. (2005). Business information systems: technology, development and management for the e-business in New York by Financial Times. Prentice Hall [in English]. 
7. Bosancic, B. (2016). Information in the knowledge acquisition process. Journal of Documentation, 72(5), 930–960 [in English]. 
8. Bosancic, B. (2016). Knowledge acquisition process as an issue in information sciences. Libellarium: journal for the research of writing, books, and cultural heritage institutions, 9(1). Retrieved from http://www.libellarium.org/index.php/libellarium/article/v iew/249 [in English]. 
9. Chaffey, D. and Wood, S. (2005). Business Information Management: Improving Performance Using Information. Pearson Education Ltd., Upper Saddle River. Retrieved from http://www.dut.edu.ua/uploads/l_1611_64307190.pdf [in English]. 
10. Dammann, O. (2019). Data, information, evidence, and knowledge: a proposal for health informatics and data science. Online Journal of Public Health Informatics, 10, 3 [in English]. 
11. Dampney, K., Busch, P. & Richards, D. (2002). The Meaning of Tacit Knowledge. Australasian Journal of Information Systems, 10, 3–13 [in English]. 
12. Hoppe, A. et al. (2011). Wisdom – the blurry top of human cognition in the DIKW-model. CONFERENCE OF THE EUROPEAN SOCIETY FOR FUZZY LOGIC AND TECHNOLOGY. Retrieved from https://download.atlantis-press.com/proceedings/eusflat11/2276 [in English]. 
13. Houari, M., Rhanoui, M., Asri, B. (2015). Big data to big knowledge: the art of making big data alive. INTERNATIONAL CONFERENCE AND CLOUD TECHNOLOGIES AND APPLICATIONS (CLOUDTECH). Retrieved from https://www.semanticscholar.org/paper/From-Big-Datato-Big-Knowledge%3A-The-art-of-making-HouariRhanoui/d17e71d6b0e49692fc437d329461dd86ac14b709 [in English]. 
14. Kenneth, C. Laudon, Jane, P. Laudon (2007). Management Information Systems: Managing the Digital Firm, 9th Edition. International Journal of Computers, Communications & Control, II(1), 103–105 [in English].
15. Laudon, K. & Laudon, J. (2006). Management Information Systems: Managing the Digital Firm, 9th ed. Prentice Hall. Retrieved from https://www.google.com/url?sa=t&rct=j&q=&esrc=s&so urce=web&cd=&cad=rja&uact=8&ved=2ahUKEwinhazt 8tTtAhUnlYsKHRdaCF4QFjAFegQICBAC&url=http%3 A%2F%2Fdinus.ac.id%2Frepository%2Fdocs%2Fajar%2 FKenneth_C._Laudon%2CJane_P_._Laudon_-- _Management_Information_System_12th_Edition_.pdf& usg=AOvVaw3EERQCE_hGlHznJsvuvo5D [in English].
16. Liew, A. (2013). DIKIW: data, information, knowledge, intelligence, wisdom and their interrelationships. Business Management Dynamics, 2(10), 49–62 [in English]. 
17. Stumpf, S., McDonnell, J. (2003). Data, Information and Knowledge Quality in Retail Security Decision Making. 3rd International Conference on Knowledge Management [in English]. 
18. Wan, K., Alagar, V. (2014). Synthesizing datato-wisdomhierarchy for developing smart. International Conference on Fuzzy Systemsand Knowledge Discovery. Retrieved from https://www.semanticscholar.org/paper/Synthesizingdata-to-wisdom-hierarchy-for-smart-WanAlagar/b9b3c25d813a057d609f8785788f1257e5592257 [in English].