Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: Springer Science and Business Media Deutschland GmbH; 14 October 2020 through 17 October 2020; 14 October 2020 through 17 October 2020
Год издания: 2020
Идентификатор DOI: 10.1007/978-3-030-63319-6_31
Ключевые слова: cognitive maps of knowledge diagnosis, copyright object, digital footprint, e-learning, intelligent automated educational systems, ipuniversity platform
Аннотация: The paper discusses the problem of using the digital educational footprint (DEF), formed during the interaction of a student with intelligent automated educational systems (IAES), as a copyright object. The DEF factors and data obtained during the educational process are highlighted. It is proposed to accumulate and visualize them in the form of a cognitive map of knowledge diagnosis (CMKD) by performing sequential statistical, metric, semantic and logical concentration of knowledge. The use of CMKD in the IAES decision-making mechanisms allows not only to increase the degree of individualization of the educative impact on the student, but also to model the process of reflective governance (according to Lefebvre). The possibility of displaying various aspects of CMKD and putting the maps together into the individual and group atlases is indicated. The DEF alienation as a copyright object entails the need to single out the aggregate of the descriptive components. A table of correspondence of the DEF components, their display formats and specifications is given. To aggregate these components, it is also proposed to use the CMDK assembly mechanism. The necessity of registering the aggregate copyright object and each of its parts through the deposit mechanism is indicated. For this purpose, it is proposed to use the digital platform for knowledge sharing and copyright management (IPUniversity) as a platform solution. #COMESYSO1120. © 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
Журнал: Advances in Intelligent Systems and Computing
Выпуск журнала: Vol. 1295
Номера страниц: 349-357
ISSN журнала: 00253159
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