PROJECT LEARNING: CREATING A BIG DATA PROCESSING TOOLKIT FOR USE IN DATE JOURNALISM

Roman Yerzhenin, Zinaida Bakhvalova, Evgeniy Volkov, Alexander Abzaev

OOO NPTs GOSUCHET, Irkutsk National Research Technical University

The article discusses the problem of adapting the educational program of training IT specialists to solving complex engineering and, at the same time, creative problems associated with the development of data journalism. Open government data on the health care system is used as a source of big data. The article proposes the main provisions of the approach to project training, formed on the standards of project and system engineering activities, as well as on the principles of conducting hackathons, where the main priority is the intellectual component of the team's work and its ideas. Some results of the use of project-based learning in the interaction of students - future IT developers with journalists and data researchers are presented. The proposed approach and the results of project training obtained on its basis can be used to create guidelines for the development of joint interdisciplinary educational programs that combine the field of training future IT specialists and data journalists.

data- journalism, big data, visualization, reporting of institutions

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