:: Volume 7, Issue 2 (May-June 2018) ::
3 JNE 2018, 7(2): 45-52 Back to browse issues page
Predict Self Beliefs Based on Self-Regulation Strategies in Students in Bu-Ali Sina University
Nasrolah Erfani
, erfani@pnu.ac.ir
Abstract:   (4190 Views)
Introduction: Self-regulation as a cognitive strategy and self-efficacy as a motivational belief are considered as fundamental concepts of Bandura's social cognitive theory. The purpose of the current study was to predict self-efficacy beliefs based on students’ self-regulation strategies.
Methods: The research method used was correlation.  Out of 177 undergraduate’s students in (academic years of) 2014-2015 in Hamadan Bu-Ali Sina University, using Cochran’s formula and systematic random sampling, and 122 students were selected as sample. To collect the data Owen and Forman’s (1988) self-regulation strategies and Connell’s (1985) self-efficacy beliefs questionnaires were used. To answer the research questions, using SPSS software, Pearson correlation co-efficient and multiple regression analysis using stepwise method were run.
Results: The results showed that there was a positive significant relationship between academic self-regulation strategies and academic self-efficacy of the students. The results also showed that the strategies of cognitive self-regulation and internal self-regulation could significantly explain and predict the students’ academic self-efficacy.
Conclusion:  Hence, it can be concluded that via improving the strategies of cognitive self-regulation and internal self-regulation, we may promote the students’ academic self-efficacy.
 
 
Keywords: self-regulation strategies, self-efficacy beliefs, student.
Full-Text [PDF 427 kb]   (2918 Downloads)    
Type of Study: Quantitative-Research | Subject: Special
Received: 2017/12/9 | Published: 2018/06/15


XML   Persian Abstract   Print



Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 7, Issue 2 (May-June 2018) Back to browse issues page