Self-Management as a Predictor of Student Performance

DOI

10.2991/iccessh-17.2017.31How to use a DOI?

Keywords

students; student performance; self-management operations; academic performance predictors

Abstract

This article reviews the study of predictors in fist-year students' academic performance with its index being calculated on the basis of their interim academic success assessments on two fields of study. The self-management capacity was determined by the methods of N. Peisakhov, and the sampling included 55 first-year students of the economic faculty of St-Petersburg State University (40 women and 15 men). The quantitative analysis was conducted using the descriptive statistics and regression analysis. The study revealed that the self-management operation 'forecasting' can be considered the predictor of student performance.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Elena Petanova
AU  - Radostina Stoyanova
PY  - 2017/06
DA  - 2017/06
TI  - Self-Management as a Predictor of Student Performance
BT  - Proceedings of the 2nd International Conference on Contemporary Education, Social Sciences and Humanities (ICCESSH 2017)
PB  - Atlantis Press
SP  - 137
EP  - 140
SN  - 2352-5398
UR  - https://doi.org/10.2991/iccessh-17.2017.31
DO  - 10.2991/iccessh-17.2017.31
ID  - Petanova2017/06
ER  -