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Effects of social learning networks on student academic achievement and pro-social behavior in accounting

机译:社会学习网络对会计学生学习成绩和亲社会行为的影响

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摘要

Collaborative learning is characterized by patterns of relationships between learners. Standard practice usually uses rating scale data to assess collaborative learning and ignores its relational characteristics. Thus, in this paper we use social network analysis (SNA) to answer the following questions: Do progressive school reforms lead to more collaborative learning (as indicated by social network metrics)? And if so, do SNA metrics positively predict students’ academic and social competence development? The first question results from the COoperative Open Learning (COOL) concept that is widely used in Austria. The second question is based on cognitive learning theories, which postulate that learning occurs, for instance, when cognitive conflicts arise in a mutual exchange with others and when these are successfully solved, for example, by giving reciprocal explanations. Using data from 504 students in 19 upper secondary commercial school classes in Austria, we performed a series of mean difference tests at the class level and applied multilevel regression models in order to test our hypotheses. The results show that, as hypothesized, COOL classes have more pronounced social network characteristics than traditionally instructed classes. However, contrary to our expectations, only two SNA measures (indegree and reachability) predict students’ cognitive outcomes, whereby indegree has a positive and reachability has a negative effect. Class-level SNA measures (such as density of a learning network) did not reveal as significant predictors of neither accounting nor social competence development. With regard to students’ social competencies, only students’ indegree is weakly but negatively associated with perspective taking skills. This lack of support of our assumptions is discussed in the context of the theory and the COOL concept and against the lack of data on the qualitative nature of the relations between students. (DIPF/Orig.)
机译:协作学习的特点是学习者之间的关系模式。标准实践通常使用等级量表数据来评估协作学习,而忽略其关系特征。因此,在本文中,我们使用社交网络分析(SNA)来回答以下问题:渐进式的学校改革是否会带来更多的协作学习(如社交网络指标所示)?如果是这样,SNA指标是否可以正面预测学生的学术和社会能力发展?第一个问题来自奥地利广泛使用的合作式开放学习(COOL)概念。第二个问题是基于认知学习理论的,它假设学习发生在例如与他人相互交流时出现认知冲突以及何时成功解决(例如通过给出相互的解释)。利用来自奥地利19个高中商业学校班级504名学生的数据,我们在班级进行了一系列均值差检验,并应用了多级回归模型以检验我们的假设。结果表明,如假设的那样,COOL班级的社交网络特征比传统上讲的班级更为明显。但是,与我们的预期相反,只有两个SNA度量标准(度数和可及性)可以预测学生的认知结果,其中度数具有积极的作用,而可及性则具有负面影响。班级SNA度量(例如学习网络的密度)没有显示为会计或社会能力发展的重要预测指标。就学生的社交能力而言,只有学生的学历不高,但与观点观点技能却呈负相关。在理论和COOL概念的背景下讨论了缺乏对我们假设的支持,并且没有关于学生之间关系的定性性质的数据。 (DIPF /原件)

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    Helm Christoph;

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