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Susceptibility of Users to Social Influence Strategies and the Influence of Culture in a QA Collaborative LearningEnvironment

机译:问答协作学习环境中用户对社会影响策略的敏感性和文化的影响

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Q&A collaborative learning environments such as Stack Overflow are more effective when its users actively participate by asking one another for information, providing good answers to existing questions, and evaluating others. One way to encourage participation is to allow cooperation between users in order to improve question and answer posts and allow users to learn from one another. Research has shown that cooperation between users results in high quality question and answer posts which are required to keep the network active. In order to better understand what influences users to cooperate, we investigate the susceptibility of users to social support influence principles in a Q&A collaborative learning environment, and what factors persuade users to keep using the network. Using Stack Overflow as a case study and a sample size of 282 Stack Overflow users, we develop and test a global research model using partial least-squares structural equation modelling (PLS-SEM) analysis. We further investigate any possible differences in the effect of these social support strategies between cultures by testing two cultural subgroups for collectivist and individualist cultures. Our results show that of all the constructs measured, only social learning significantly influences cooperation in Stack Overflow at the global level. However, at the cultural subgroup level, recognition influences collectivists to cooperate, while social facilitation influences individualists to cooperate. These findings suggest possible design guidelines in the development of Q&A collaborative learning environments that encourage participation through cooperation.
机译:如果Q&A协作学习环境的用户通过互相询问信息,提供对现有问题的良好答案以及评估其他问题而积极参与,则这样的问答式协作学习环境会更加有效。鼓励参与的一种方法是允许用户之间的合作,以改善问答帖子并允许用户彼此学习。研究表明,用户之间的合作会产生高质量的问答帖,这是使网络保持活动状态所必需的。为了更好地了解什么会影响用户合作,我们调查了用户在问答协作学习环境中对社会支持影响原则的敏感性,以及哪些因素说服了用户继续使用网络。使用Stack Overflow作为案例研究,并使用282个Stack Overflow用户的样本量,我们使用偏最小二乘结构方程模型(PLS-SEM)分析来开发和测试全局研究模型。我们通过测试两个文化亚组的集体主义和个人主义文化,进一步研究这些社会支持策略在不同文化之间的效果可能存在的差异。我们的结果表明,在所有测得的结构中,只有社交学习会显着影响全球范围内Stack Overflow的合作。但是,在文化子群体层面上,认可会影响集体主义者合作,而社会便利会影响个人主义者合作。这些发现提出了在问答协作学习环境开发中可能的设计准则,以鼓励通过合作参与。

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