Cognitive, Intelligence Technologies and Economical Foundations of Teaching of International Economical Relations and Tourism


Петрова, Мариана (2018) Cognitive, Intelligence Technologies and Economical Foundations of Teaching of International Economical Relations and Tourism Engineering for Rural Development Volume 17, 2018, Pages 1102-1106, ISSN 1691-5976 17th International Scientific Conference Engineering for Rural Development, ERD 2018; Jelgava; Latvia; 23 May 2018 through 25 May 2018; Code 137032, https://www.scopus.com/record/display.uri?eid=2-s2.0-85048991763&origin=resultslist&sort=plf-f&src=s&sid=73f7c2725787a10488f58417a6bc0cf3&sot=autdocs&sdt=autdocs&sl=18&s=AU-ID%2857199228072%29&relpos=4&citeCnt=0&searchTerm=


 As an approach to foresee future changes in workforce marketplace, we propose upgraded curricula with emphasis on acquiring of intelligent and cognitive technologies. To achieve the possibilities of cognitive and intelligence technologies by students we developed the curriculum “International Economic Relations” in compliance with the employers’ demands. We consider management of education as a process aiming to improve the structure of both educational services and knowledge. Based on the epistemological position of critical realism we develop the prescriptive methodology of education as a cyclic process and its description that allows systematizing internal components and external influencers in the educational process. To find the economic effects of education we strike with simplified and isolated conditions of economic models that usually cannot be reproduced experimentally, making it difficult to verify the truth of empirical economic theories. We use intelligent systems that allow the automation of student-teacher communication due to providing the interaction between a teacher, a student and an educational institution. As an example of artificial intelligence technologies used for management of education, we consider determining the impact of performance of the company on indicators characterizing the personnel training. This analysis is performed on the basis of cognitive system IBM Watson Analytics.
  Статия
 IT, cognitive technologies, international economic relations, tourism


Социални, стопански и правни науки Икономика
Социални, стопански и правни науки Администрация и управление

Social sciences, economic sciences and law Economics
Social sciences, economic sciences and law Administration and Management

 Издадено
  21179
 Мариана Петрова

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