Аннотация

Student trajectory-the main stages of training related to the choice: from admission to deduction. Student expulsion can be caused by various reasons. The main reasons are expulsion due to graduation from the university and academic failure. There are works that use various data to predict student expulsion: Demographic, Academic, Social and Behavioural in social networks. The peculiarity of this study is the use of data on the choice of a student in the formation of his individual trajectory. In paper the data model of the student and use-cases of the information system for students track prediction were considered. Impersonal data of 5000 bachelors from Ural Federal University formed a features space, including data on education, data on student track formation behavior and data on the social context. A model for predicting the trajectory of a student was developed. The proposed system can be adapted to the processing of data to form a competence portrait of student. On basic level, the system can be used to predict probability of a student being expelled from a University.

Язык оригиналаАнглийский
Название основной публикацииSIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings
ИздательInstitute of Electrical and Electronics Engineers Inc.
Страницы110-113
Число страниц4
ISBN (электронное издание)9781728144016
DOI
СостояниеОпубликовано - окт 2019
Событие2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019 - Novosibirsk, Российская Федерация
Продолжительность: 21 окт 201927 окт 2019

Серия публикаций

НазваниеSIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings

Конференция

Конференция2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019
СтранаРоссийская Федерация
ГородNovosibirsk
Период21/10/201927/10/2019

Предметные области ASJC Scopus

  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems and Management
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Instrumentation
  • Computer Networks and Communications

Fingerprint Подробные сведения о темах исследования «Design an information system for student track prediction». Вместе они формируют уникальный семантический отпечаток (fingerprint).

  • Цитировать

    Borisov, V., Rabovskaya, M., Zeyde, K., & Syskov, A. (2019). Design an information system for student track prediction. В SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings (стр. 110-113). [8958260] (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIBIRCON48586.2019.8958260