Turning the King Tide: Understanding Dialogue and Principal Drivers in an Online Co-Created Investigation
Turning the King Tide: Understanding Dialogue and Principal Drivers in an Online Co-Created Investigation
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扭转局势：了解在线共同创建的调查中的对话和主要驱动因素
DOI：
10.5334/cstp.189
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Ruth Kermish
中科院分区：
文献类型：
--
作者：
K. Peterman;C. Bevc;Ruth Kermish
近年来，公民科学在线学习社区的数量和规模不断增长。WeatherBlur项目旨在将知识构建理论应用于三到八年级的学生，他们的老师和科学家的非分层在线公民科学社区。本案例研究探讨了一项调查，以确定鼓励在线知识建设的互动类型以及作为调查关键驱动力的个人。从该项目的讨论板的帖子进行了分析，通过话语分析。结果表明，学生，教师和科学家发起在线话语在类似的速度，肯定了该项目的非层次设计。两个知识建设结构被用来启动对话，包括增加对话中信息的数量和质量的评论，以及包括一些概念进步的评论。照片也更常被用来发起而不是回应对话。相比之下，持续的对话是由提高共享信息质量的评论维持的。使用活动日志数据，从社会网络分析的结果表明，在张贴频率，互惠的高概率，和密集的核心-外围结构的高变化。话语分析和社会网络分析都揭示了个人成为网络核心的多种方式，从而成为调查的主要驱动力。研究结果进行了讨论，在网上公民科学社区的知识建设。
Online learning communities for citizen science have been growing in number and scale in recent years. The WeatherBlur project was designed to apply knowledge-building theory to a non-hierarchical online citizen science community for students in grades three to eight, their teachers, and scientists. This case study explores one investigation to determine the kinds of interactions that encouraged online knowledge-building and the individuals who served as the key drivers for the investigation. Posts from the project’s discussion board were analyzed via a discourse analysis. The results indicated that students, teachers, and scientists initiated online discourse at similar rates, affirming the project’s non-hierarchical design. Two knowledge-building constructs were used to initiate dialogue, including comments that added to the quantity and then quality of information in the conversation and those that included some conceptual advancement. Photos were also used more often to initiate rather than respond to conversation. By comparison, ongoing conversation was sustained by comments that enhanced the quality of information shared. Using activity log data, the results from a social network analysis indicated high variation in posting frequency, high probability of reciprocity, and dense core-periphery structure. Both the discourse analysis and social network analysis revealed multiple ways for individuals to become core to the network and thus primary drivers for the investigation. The findings are discussed in relation to knowledge-building in online citizen science communities.