Effects of Interaction on E-Learning Satisfaction and Outcome

Sean B. Eom, Mohamed Ridda Laouar
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Abstract

We have reviewed several e-learning empirical research studies that have investigated the effects of interaction on satisfaction and outcomes of e-learning, published between 2001 and 2010. Their conclusions seemed inconclusive, ranging from no relationships between interactions and two dependent variables (satisfaction and learning outcomes) to positive relationships. In-depth analyses of these empirical studies conducted by examining dependent and independent constructs and their indicators, research methods, and participants' characteristics. We conclude that the conflicting results are due to primarily different definitions of the dependent and independent constructs and their indicator variables, different research methods employed, and participant's demographic characteristics. In order to build e-learning theories and a cumulative research tradition, it is necessary to (1) define the dependent/independent constructs and their indicators, (2) employ common research methodology, and (3) test commonly accepted causal models. Further, we suggest the following three recommendation to guide the future research. They include using only dialogue, instead of mixing dialogue and interaction, conducting learning theory-based holistic approach, and proper treatment of contextual variables.
互动对网络学习满意度和结果的影响
我们回顾了2001年至2010年间发表的几项电子学习实证研究,这些研究调查了互动对电子学习满意度和结果的影响。他们的结论似乎不确定,从互动和两个因变量(满意度和学习成果)之间没有关系到积极的关系。对这些实证研究进行了深入分析,考察了依赖和独立结构及其指标、研究方法和参与者特征。我们的结论是,相互矛盾的结果主要是由于依赖和独立结构及其指标变量的不同定义,不同的研究方法所采用的,和参与者的人口统计学特征。为了建立电子学习理论和累积研究传统,有必要(1)定义依赖/独立结构及其指标,(2)采用共同的研究方法,(3)检验普遍接受的因果模型。进一步,我们提出以下三点建议,以指导未来的研究。它们包括只使用对话,而不是将对话和互动混合在一起,采用基于学习理论的整体方法,以及正确处理上下文变量。
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