Enhancing distance learning platforms with social media analytics

The current paper emphasizes on how enhancement of human interconnection improves distance learning processes through the use of social media analytics. Until today, educators, learners, parents and everyone else interested in a distance learning activity were able to customize and personalize their educational trajectory through representative structures, which actually promoted very general composites of the individual opinions. Over time, distance learning platforms, combined with social media and services, have to evolve and focus in strengthening the influence of the voices of their users, as well as promote the active participation of them in the educational activities. In accordance to this need, the purpose of this paper is to present an intelligent extension of existing distance learning platforms. We discuss the details of a system that utilizes big amount of structured and unstructured, historical and real-time data in order to inform, create new contacts and strengthen the dialogue and cooperation between the participants in an educational procedure. We cite an example from the field of learning Russian language from Greek students. © IFIP International Federation for Information Processing 2015.

Авторы
Kalita O. 1 , Ilias A.2 , Pavlidis G.2
Сборник материалов конференции
Издательство
Springer New York LLC
Язык
Английский
Страницы
431-439
Статус
Опубликовано
Том
458
Год
2015
Организации
  • 1 Peoples Friendship University, Russian Federation
  • 2 Computer Engineering and Informatics Department, University of Patras, Patras, 26504, Greece
Ключевые слова
Distance learning enhancement; Formal and informal events; Intelligent agent; Russian verbs of motion; Social media and services analytics
Дата создания
19.10.2018
Дата изменения
19.10.2018
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/4701/