Webliometric indicators of IT expertise of different groups of authors of digital educational resources

A growing proportion of digital educational resources in the total number of study guides necessitates the development of new methods to assess publication activity and rating of authors, university chairs and departments and universities in general. The indicators of publication activity are necessary for making effective management decisions in education. Open data from electronic depositories served as sources of analysis. Custom-developed collector_stat program was used as a tool. On the example of sampling from the open online database of the Joint Fund of Electronic Resources “Science and Education”, we showed the results of calculation and analysis of the relationship between institutional status and IT-expertise of authors’ group of digital educational resources having different statuses in the education system. The group under study includes students of the pre-university training department and bachelor’s program, lecturers and associate professors, as well as administrative staff. The concept of an author’s position was introduced to assess the publication activity. On the back of this concept, we also adopted several integral and physical measures, which constitute a system of subset webliometrics of publications’ array. We observed high correlation and a linear dependence of the proposed measures and demonstrated the impact of management effects. The findings can be used to estimate the parameters and predict the indicators of groups and individual authors in the system of chairs, departments, and universities. © Springer Nature Switzerland AG 2020.

Авторы
Matukhin P. 1 , Galkina A.2 , Isaeva I. 1 , Provorotova E. 1 , Komissarova N. 1, 2
Сборник материалов конференции
Издательство
Springer Verlag
Язык
Английский
Страницы
3-12
Статус
Опубликовано
Том
1100 AISC
Год
2020
Организации
  • 1 People’s Friendship University of Russia, Moscow, Russian Federation
  • 2 Moscow, Russian Federation
  • 3 Russian State Social University, Moscow, Russian Federation
Ключевые слова
Developers; Digital educational resources; Indicators; IT competence; Management decisions; Webliometrics
Дата создания
02.11.2020
Дата изменения
02.11.2020
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/65281/