E3S Web Conf.
Volume 210, 2020Innovative Technologies in Science and Education (ITSE-2020)
|Number of page(s)||10|
|Published online||04 December 2020|
Procrastination and laziness rates among students with different academic performance as an organizational problem
Don State Technical University, Rostov-on-Don, Russia
* Corresponding author: email@example.com
Displays and causes of laziness and procrastination vary in both their essence and the influence they have on human activity. Students with different academic performance tend to display laziness and procrastination in different ways. The results of the research on procrastination and laziness patterns, shown by students with various academic performance rates, are described in the article. The levels and causes of laziness and procrastination for students with different academic performance were defined by means of diagnostic methodology. Based on the methods of Mathematical Statistics, such as the Spearman's rank correlation coefficient and the Mann–Whitney U test, the levels of procrastination and laziness were compared in correspondence with students’ academic performance rates. A negative correlation was discovered between the level of academic procrastination and students’ academic performance. Another correlation was established for such causes of laziness as “Capability deficiency” and “Lack of interest”. The differences in laziness levels as well as causes of laziness and procrastination were identified between students with high and low academic performance rates. A conclusion was made that in the process of forming the basic conditions for studying, it is highly important to recognize displays of procrastination and laziness among students with different academic performance rates.
© 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.