Building models explaining student participation behavior in asynchronous online discussion

被引:68
|
作者
Goggins, Sean [1 ]
Xing, Wanli [1 ]
机构
[1] Univ Missouri, Sch Informat Sci & Learning Technol, Columbia, MO 65211 USA
基金
美国国家科学基金会;
关键词
Asynchronous online discussion; Social cognitive theory; Social ability; Collective efficacy; Partial least squares; STRUCTURAL EQUATION MODELS; GROUP EFFICACY; COHESION;
D O I
10.1016/j.compedu.2015.11.002
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Previous studies have invested much effort in understanding how participation in asynchronous online discussion affects student learning, and what factors influence student participation behavior. Results of these studies have been inconclusive and these investigations are often conducted from isolated perspectives. Relying on social cognitive theory, this study proposes two dynamic student participation models in online dialogue and particularly highlights understudied factors collective efficacy, social ability, reading behavior, the time dimension of participation to examine the mediation and causal relationship among those factors and their influence on learning. The models are tested utilizing data collected from a large US university. Specifically, while the predictive constructs are operationalized through the survey instruments, the outcome measures are modeled using electronic trace data and actual evaluation information. Data is analyzed using the Partial Least Squares modeling method. Results demonstrate the intertwined relationship among constructs and a different influencing mechanism for each construct on participation behavior and learning. By comparing these two built models, the time dimension of participation is shown to be more influential in predicting student learning than posting and reading actions. The paper concludes with a discussion of the implications of this study. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:241 / 251
页数:11
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