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Research On The Influence Mechanism Of Self-regulated Learning Behaviors In The Online Learning Community

Posted on:2019-12-03Degree:MasterType:Thesis
Country:ChinaCandidate:L L KongFull Text:PDF
GTID:2417330548981423Subject:Education Technology
Abstract/Summary:PDF Full Text Request
In the online learning community,learners often need to achieve their learning goals through self-regulating learning processes such as planning,management and monitoring..Therefore,online self-regulated learning is very important to ensure the quality of online community learning and improve the learning effect.At present,the research on the influential factors of self-regulated learning behaviors in the online learning community and their mechanism is not sufficient.This study deeply explored the influential factors and their influence paths of self-regulated learning behaviors in the online learning community based on Community of Inquiry.The core issue of this study is: in the online learning community,learners' individual factors(Self-efficacy and Learning Strategies),and community factors(Teaching Presence,Social Presence and Cognitive Presence),which will affect the self-regulated learning behaviors? What are the influence paths of these factors on the online self-regulated learning behaviors? In order to solve the research question,this study was carried out using literature research,questionnaire survey method,interview method and regression analysis method in combination.Firstly,we confirmed the types of online self-regulated learning behaviors,including Goal-setting,Strategic planning,Using Critical Thinking,Help-seeking,Self-evaluation and Self-satisfaction.According to the related research of Community of Inquiry and of Self-regulated learning,we proposed that learners' individual factors(Self-efficacy and Learning Strategies)and community factors(teaching presence,social presence and cognitive presence)might influence online self-regulated learning,to build a model of influencing factors of self-regulated learning behaviors.Secondly,we chose the learners with self-regulated learning experience in the online learning community as the research objects.Questionnaire and interview were used to obtain students' perception of their self-regulated learning behaviors.Thirdly,through correlation analysis and hierarchical regression analysis,the model of influencing factors is verified.By using stepwise regression analysis,the influence paths of individual factors and community factors on the self-regulated learning behaviors were analyzed.This study mainly drew the following conclusions: 1.In the network learning community,learners' self-efficacy and learning strategies are important factors that affect the self-regulated learning behaviors;enhancing learners' self-efficacy and learning strategies can help to improve the self-regulated learning behaviors.2.Cognitive Presence in the online learning community is an important factor that influences learners' goal-setting behavior,and the design of learning activity's situation and evaluation is the guarantee for learners to set specific goals.3.Social Presence in the online learning community is the important factors that affects learners' self-satisfaction behavior.The strength of the community cohesion is an important factor of online learners' satisfaction with the results of self-regulated learning.This study deeply analyzed the influencing mechanism of online self-regulated learning behaviors in the community.Not only revealed the influential factors that affect the online self-regulated learning behaviors from the perspective of individual and community,but also analyzed specificly their influence paths.This study lays the foundation for the analysis of self-regulated learning behaviors in the online learning community,and provides important theoretical basis and strategic reference for predicting and improving the online self-regulated learning behaviors.
Keywords/Search Tags:Self-regulated learning, Learning behaviors, Community of Inquiry, Influencing mechanism
PDF Full Text Request
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