THE DEVELOPMENT OF TASKS FOR SELF-CONTROL AND ANALYSIS OF THEIR QUALITY USING THE MOODLE SYSTEM


Cite item

Full Text

Abstract

When studying disciplines, not all students can objectively assess the quality of their knowledge and the level of their preparation for intermediate certification (test or exam). As a backup tool, the authors developed and introduced into the educational process one of the simple and effective ways to test oneself - tests for self-control in all sections of the course, which are integrated into the physics training course under the control of LMS MOODLE. In the example of the Mechanics section, the paper shows the technique for calculating the main characteristics and parameters of test cases. The authors analyzed the results of the test cases using the data of the built-in statistical processing module. Course approval showed that the developed test tasks are efficient in terms of improving the quality of students’ knowledge. Using the indicators defined in the LMS MOODLE Statistics module, the authors evaluated the quality of both the test cases as a whole and individual tasks. It allowed correcting the task cases, identifying and excluding unsuitable questions from the database, and identifying the sections that caused the most difficulties. The analysis showed that the created base of test tasks for self-control is suitable for further use, taking into account a slight adjustment. The calculation of the achievement rate allows predicting the assessment and specifying the topics that cause difficulties. Repeated testing makes it possible to achieve the desired result. Self-control allows creating self-educational competencies and improving the quality of education.

About the authors

Y. V. Velikanova

Samara State Technical University

Author for correspondence.
Email: juliavl@mail.ru

PhD (Physics and Mathematics), Associate Professor, assistant professor of Chair “General Physics, Geology and Physics of Oil and Gas Production”

Russian Federation

E. A. Kosareva

Samara State Technical University

Email: genia_7@mail.ru

PhD (Engineering), Associate Professor, assistant professor of Chair “General Physics, Geology and Physics of Oil and Gas Production”

Russian Federation

References

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c)



This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies