PROJECT OF AUTOMATED ADAPTIVE SYSTEM FOR INDIVIDUAL SUPPORT OF TALENTED STUDENTS IN THE REGIONAL INFORMATION AND EDUCATIONAL ENVIRONMENT
Journal Title: Современные информационные технологии и ИТ-образование - Year 2017, Vol 13, Issue 4
Abstract
This paper describes the project of an automated adaptive system for individual support of talented students in the regional information and educational environment, which is planned to be implemented in the Orenburg region on the platform of the Orenburg State University. The architecture of the system is proposed, basic roles and functional capabilities of users are described, as well as mechanisms for calculating the absolute and relative ratings of students.
Authors and Affiliations
Aleksandr Shukhman, Petr Polezhaev Petr, Yury Ushakov
Keywords
Related Articles
- EP ID EP266357
- DOI 10.25559/SITITO.2017.4.530
- Views 101
- Downloads 0
SYNTHESIS OF FAULT ESTIMATION OBSERVER, BASED ON SPECTRAL MIMO H2 OPTIMIZATION
This paper is devoted to slowly varying additive fault detection with implementation of the observer-filter to be designed. Sensitivity of the observer to the external disturbance is to be minimized by the choice of its...
ON IMPROVEMENT OF THE SYSTEM OF HIGHER PROFESSIONAL EDUCATION IN THE LIGHT OF THE NEW DOCTRINE OF INFORMATION SECURITY OF RUSSIA
The article analyzes the main provisions of the new doctrine of information security of Russia and the basic ways of its realization in the development of science and education in the sphere information security of socie...
RESEARCH OF THE AGGREGATION TRAFFIC OF THE WIRELESS IOT DEVICES
Currently, there is a rapid growth of the Internet of things. In this regard, the problem of overloading existing data networks with the traffic of IoT devices becomes topical. To study this problem it was decided to use...
TRANSPORT AND ECONOMIC BALANCE AND ITS ROLE IN THE COORDINATION OF TRANSPORT PLANNING DURING THE DIGITALIZATION ERA
Econometrics tools in framework of Transport and Economic Balance (TEB) for transport planning and forecasting are aimed at improving transport links and transport connectivity via accounting the ratio between the volume...
METHODS OF CREATING DIGITAL TWINS BASED ON NEURAL NETWORK MODELING
It is assumed that by 2021, about half of the companies will use digital counterparts of different levels. The simplest digital twin models may not use machine learning, but the models using machine learning algorithms w...