Structure and messaging techniques for online peer learning systems that increase stickiness

Yasmine Kotturi, Chinmay Kulkarni, Michael S. Bernstein, Scott R. Klemmer
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引用次数: 41

Abstract

When students work with peers, they learn more actively, build richer knowledge structures, and connect material to their lives. However, not every peer learning experience online sees successful adoption. This paper articulates and addresses three adoption challenges for global-scale peer learning. First, peer interactions struggle to bootstrap critical mass. However, class incentives can signal importance and spur initial usage. Second, online classes have limited peer visibility and awareness, so students often feel alone even when surrounded by peers. We find that highlighting interdependence and strengthening norms can mitigate this issue. Third, teachers can readily access "big" aggregate data but not "thick" contextual data that helps build intuitions, so software should guide teachers' scaffolding of peer interactions. We illustrate these challenges through studying 8,500 students' usage of two peer learning platforms, Talkabout and PeerStudio. This paper measures efficacy through sign-up and participation rates and the structure and duration of student interactions.
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增加粘性的在线同伴学习系统的结构和消息传递技术
当学生与同龄人一起工作时,他们学习更积极,建立更丰富的知识结构,并将材料与他们的生活联系起来。然而,并不是所有的在线同伴学习经验都能被成功采用。本文阐述并解决了全球规模同伴学习的三个采用挑战。首先,同伴间的互动难以达到临界质量。然而,阶级激励可以表明重要性并刺激初始使用。其次,在线课程对同学的可见度和认知度有限,所以即使周围都是同学,学生也经常感到孤独。我们发现,强调相互依存和加强规范可以缓解这一问题。第三,教师可以很容易地访问“大”汇总数据,但不能访问有助于建立直觉的“厚”上下文数据,因此软件应该指导教师建立同伴互动的框架。我们通过研究8500名学生对Talkabout和PeerStudio这两个同侪学习平台的使用情况来说明这些挑战。本文通过注册率和参与率以及学生互动的结构和持续时间来衡量有效性。
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