Improvement of automated system for students’ knowledge level evaluation

Abstract

The goal of the study is to improve the basic modules of the automated system for students’ knowledge level evaluation «ZELIS». This system was developed by the lecturers O. S. Zelensky and V. S. Lysenko and is used in the learning process for nearly three years. However, its operation revealed the need to improve its individual modules. The objectives of the study are to develop these algorithms:

– input from the rtf document;

– validation of data, that fills database;

– recognition of forms, that contain answers to the questions;

– distance learning using client-server technology.

The object of the study is «ZELIS» – a system for students’ knowledge level evaluation. The subject of the study are the improvements of existing modules and expanding system capabilities. In the course of the work were carried out analysis, generalization and systematization of studies, provided visual input control, given the possibility of input data adjustment. The system performs control not only the data from the document, but also in creating the database of questions and answers. System provides different available modes of testing. Results of the study are planned to be generalized to form recommendations on how best to handle input data and further work with it as well as possible ways to further improve the system.