SHS Web Conf.
Volume 75, 2020The International Conference on History, Theory and Methodology of Learning (ICHTML 2020)
|Number of page(s)||7|
|Section||Discourses of Learning, Education and Training|
|Published online||26 March 2020|
Systematicity of students’ independent work in the course of operating systems
1 Simon Kuznets Kharkiv National University of Economics, 9a Science Ave. Kharkiv 61166, Ukraine
2 H. S. Skovoroda Kharkiv National Pedagogical University, 29 Alchevskykh Str. Kharkiv, 61002 Ukraine
* Corresponding author: firstname.lastname@example.org
The paper is devoted to the study of systematicity of students’ learning activity as a parameter of student’s model, and influence of systematicity at learning results in the course “Operating Systems”. The necessity to equip the student himself as the subject of the educational process with the skills and appropriate pedagogical forecasting tools for independent choice of the appropriate variant of educational activity is shown as theoretical framework. Parameters of models in such pedagogical diagnostics system are suggested and discussed. Empirical work has been realised on the base of learning management system Moodle and give possibility to analyse correlation between timeliness of completing the learning tasks by students and their educational achievements as well as to analyse the structure of students’ time planning at homework. Recommendations to improve the educational process have been suggested
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.