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Talk · Procedia Computer Science · January 1, 2024

Development of a model of personal data protection in the context of digitalization of the educational sphere using information technology tools

Isus Raichuk, Kateryna V. Kolesnikova, Iulia Khlevna, Timinskyi Oleksandr, Liubov Kubiavka

Kateryna Kolesnikova
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Abstract

The paper shows that at the present stage of digitalization development, the issue of personal data protection in the educational sphere by means of information technology tools is important. Based on the analysis of information interactions in the educational environment, the author identifies the categories of parties (subjects) which may be affected by the loss of personal data in such interactions in the context of digitalization. The most vulnerable category to the loss of personal data is identified – they are so called- eduction searchers. The main objects involved in the exchange of information in the educational sphere are presented. The application of the expert method to determine the priority of the object of information interactions is proposed. It is established that this is the "Data Broker". Based on the information obtained, a model of information interaction in the educational environment in the context of digitalization and a model for determining the loss of personal data during digitalized information integration in the field of education have been developed. Prioritised subjects in such integrations are identified. A model for protecting personal data of educational stakeholders in the context of digitalization with the help of information technology tools has been developed. The basic requirements for an information tool are highlighted. The developed model will make it possible to develop the issues of information protection, confidentiality, integrity and availability of data in the context of digitalization of the educational sphere.

Data Privacy and CybersecurityEducational Challenges and InnovationsPrivacy, Security, and Data Protectionpersonal data protectiondigitalization of educationeducational data

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