The system of remote collective self-preparation

Authors

  • Oleksii Dmytrovych Azarov VNTU
  • Leonid Vitaliiovych Krupelnytskyi VNTU
  • Oleksandr Ivanovych Cherniak VNTU
  • Vasyl Volodymyrovych Zalizetskyi VNTU

Keywords:

remote education, collective self-preparation, web-technologies, educational web-environment

Abstract

The wide adoption of Web technologies, it becomes urgent need of their use in education as to improve methods and techniques of teaching and improve its effectiveness. With this purpose, over the last few years there have been many systems of massive open online courses. However, their disadvantage is the presence of a certain psychological barrier between the training stage and testing stage. In this paper we present a system for remote collective self-paced, allowing individuals who study an online course to share information with the teacher and with each other. This approach allows significantly intensify the process of learning due to the fact that students learn the course material, you can not only ask questions to your colleagues, but also to be in the role of consultants. It allows considerably simplifying the work of the teacher. This approach does not require large financial costs for the organization of the educational process and can be done on a free basis. The use of the system of collective self-training will better prepare you to test, to test their strength and to bridge the gap between learning and certification in the discipline.

Author Biographies

Oleksii Dmytrovych Azarov, VNTU

Dean of the Faculty of Information Technology and Computer Engineering

Leonid Vitaliiovych Krupelnytskyi, VNTU

Associate Professor of Computer Techniques chair

Oleksandr Ivanovych Cherniak, VNTU

Associate Professor of Computer Techniques chair

Vasyl Volodymyrovych Zalizetskyi, VNTU

the post-graduate student of Computer Techniques chair

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Abstract views: 353

Published

2016-12-05

How to Cite

[1]
O. D. Azarov, L. V. Krupelnytskyi, O. I. Cherniak, and V. V. Zalizetskyi, “The system of remote collective self-preparation”, ІТКІ, vol. 36, no. 2, pp. 15–20, Dec. 2016.

Issue

Section

Information technology and coding theory

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