Supporting and Consulting Infrastructure for Educators during Distance Learning Process: The Case of Russian Verbs of Motion

This paper presents a supporting and consulting infrastructure (methods and tools) assisting educators during the distance learning process. The main focus is on the information sketching a student profile. Having identified all possible behaviors, the proposed infrastructure allows the development of probabilistic distribution models of the emerging educational events. The determination of probabilities is estimated by applying data mining techniques and then using the method of maximum entropy. As an example, the process of learning the semantic structure of motion verbs in Russian and Greek language is taken. Emphasis is given to those cases where verbs structures match entirely, partially overlap, as well as those whose semantic sizes are specific, characterize either the Russian, or solely the Greek language.

Авторы
Kalita O. 1 , Gartsov A. 1 , Pavlidis G.2 , Nanopoulos P.2
Издательство
Springer Verlag
Язык
Английский
Страницы
185-192
Статус
Опубликовано
Том
384
Год
2013
Организации
  • 1 Peoples Friendship Univ Russia, Moscow, Russia
  • 2 Univ Patras, Fac Engn, Dept Comp Engn & Informat, Patras, Greece
Ключевые слова
distance learning; supporting and consulting infrastructure; Russian and Greek verbs of motion; data mining; maximum entropy method
Цитировать
Поделиться

Другие записи