Investigation of the Relationship between Learning Approaches and Online Self-regulation Behaviour | Zendy

Murat Ekici | Zendy; Hakan Coşkun | Zendy; Halil Yurdugül | Zendy

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Investigation of the Relationship between Learning Approaches and Online Self-regulation Behaviour

Author(s) -

Murat Ekici,

Hakan Coşkun,

Halil Yurdugül

Publication year - 2014

Publication title -

procedia - social and behavioral sciences

Language(s) - English

Resource type - Journals

ISSN - 1877-0428

DOI - 10.1016/j.sbspro.2014.05.050

Subject(s) - task (project management) , self regulated learning , structuring , psychology , regression analysis , online learning , self management , applied psychology , computer science , social psychology , artificial intelligence , machine learning , multimedia , engineering , systems engineering , finance , economics

In this research, researchers aim to contribute to current literature on self-regulation by investigating the relationship between learning approaches and online self-regulation behaviour. In this study we use learning approaches as a predictor of online self- regulation skills. Sub factors of online self-regulation skills; environmental structuring, goal setting, time management, help seeking, task strategies, self-evaluation are dependent variables and sub factors of the learning approaches; deep approach, surface approach are independent variables. Research data collected from 303 college student who attended online distance courses of Usak University. Regression analysis showed that learning approaches are significant predictors of online self- regulation skills

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