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The dynamics of an online learning community in a hybrid statistics classroom over time: Implications for the question-oriented problem-solving course design with the social network analysis approach

机译:随着时间的推移在混合统计学课堂上在线学习社区的动态:对“面向问题的解决问题”解决方案设计的影响与社会网络分析方法

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This study applied the question-oriented problem-solving (QOPS) pedagogy in Statistics learning and addressed several methodological and theoretical gaps in SNA studies to inform instructional and learning implications for teachers and students. The limitations in SNA studies included the lack of theoretical support in the analysis, the homogeneous medium where the data for SNA is collected, the constraints in the diversity of the network modes, and the lack of associations about the SNA measures with learning outcomes. Thus, we investigated 1) how a learning community based on social media evolved with the implementation of the QOPS activities, 2) changes in instructors and learners' roles in light of their one-mode and two-mode SNA measures, and 3) how different relational ties and SNA measures were associated with student outcomes. Participants were 23 graduate students (females: 52.17%) and an instructional team of three. Seven hundred four messages, including 118 posts and 586 comments, were collected from the private advanced statics Facebook learning group over an 18-week advanced Statics course. Aligned with the QOPS approach, the learning community became more interactive and cohesive, as reflected in their one-mode SNA measures. Besides, the two-mode measures, including density, GCC, reciprocity, transitivity, and strong/weak components, demonstrated that the learning community became denser and more interactive via their shared discussion. The instructional team played unique roles as a leader or facilitator in their interaction with students, while students' roles as a leader and coordinator were identified. Students' outdegree, degree, and closeness centralities have the most consistent predictive validity of their learning outcomes. Higher values in degree or closeness via shared discussion topics such as discussion of quizzes, help-seeking, and course administrative communication also predicted performance. The study results have practical implications for instructors and researchers in designing the hybrid learning environment and providing scaffolds to promote help-seeking.
机译:本研究在统计学习中应用了面向问题的问题解决(Qops)教育学,并解决了SNA研究中的几种方法论和理论差距,以为教师和学生提供教学和学习影响。 SNA研究的局限性包括分析中缺乏理论支持,收集了SNA数据的均匀介质,网络模式的多样性的约束以及缺乏关于SNA测量与学习结果的关联。因此,我们调查了1)如何根据社交媒体的学习社区随着Qops活动的实施而发展,2)指导员和学习者的角色变化,鉴于他们的单模和两模SNA措施,以及3)如何不同的关系领带和SNA措施与学生结果有关。参与者是23名研究生(女性:52.17%)和三支教学团队。从私人高级统计学习组中收集了七百四条消息,其中包括118篇帖子和586条评论,从一个18周的高级估计课程中收集了私人高级统计学习学习组。与Qops的方法对齐,学习界变得更加互动和凝聚力,正如他们的单模SNA措施所反映。此外,两种模式措施,包括密度,通用通讯社,互惠性,传递和强/弱组件,证明了学习界通过其共享讨论变得更加密度和更具互动性。教学团队在与学生的互动中扮演着一个独特的角色,而学生的角色被确定为领导者和协调员。学生的匆忙,学位和亲密关系具有最符合其学习成果的预测有效性。通过共享讨论主题的程度或亲密度的程度更高,例如测验,寻求帮助和课程管理通信的讨论也会预测性能。研究结果对指导员和研究人员设计混合动力车学习环境并提供脚手架来促进帮助寻求的实际影响。

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