The Effectiveness of Blended learning based on Social Networks on Academic self-regulation Secondary school Female students Karaj City

Subject Areas :

Farzaneh  Shahrokhi ¹ (گروه مدیریت، دانشگاه آزاداسلامی واحد امارات متحده عربی، دبی، امارات متحده عربی (مدیر مسئول) ([e-mail]))
Haghreza  eivazi ² (گروه مدیریت آموزشی، دانشگاه آزاداسلامی واحد امارات متحده عربی، دبی، امارات متحده عربی. ([e-mail]))
Ashraf  Babakhanloo ³ (گروه روانشناسی سلامت، دانشکده علوم انسانی،دانشگاه آزاد اسلامی واحد نجف آباد، نجف آباد، ایران. ([e-mail]))
Behzad  Shoghi ⁴ (گروه مدیریت آموزشی، دانشکده مدیریت و اقتصاد، دانشگاه آزاد اسلامی واحدعلوم تحقیقات، تهران، ایران. ([e-mail]))

Received: 2016-12-19 Accepted : 2016-12-19 Published : 2016-12-21

Keywords: Keywords: Blended learning, Social Networks, Academic self-regulation,

Abstract :

Abstract The present study was aimed to examine the Effectiveness of Blended learning based on Social Networks on Academic self-regulation Secondary school Female students Karaj City in the years of 2015. The study was semi-experimental with a pre-test post-test design along with a control group. The statistical population consisted of all Secondary school Female students Karaj City, Sample for study with the method Multi stage cluster sampling in two groups experiment group (20 individuals) and control group (20 individuals) were Select. Experiment group During the 8 weeks beside the use of social networks and also Course Content The traditional way For the experimental group were offered classes. Data collection tool in this study was self-regulation Zimmerman and Martinez-Pons (1986) Standard questionnaire. Analysis of collected data was done through SPSS20 software in two sections: descriptive and inferential (Analysis of variance with repeated measures). The results showed that after training significant differences on Academic self-regulation with control group Created. Experiment group after two months of training Its superiority Maintained. Results Research, Represents positive effect was Blended learning Based on Social Networks on Academic self-regulation