Tree Investigators: Supporting families' scientific talk in an arboretum with mobile computers
Tree Investigators: Supporting families' scientific talk in an arboretum with mobile computers
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树木调查员：使用移动计算机支持植物园中家庭的科学讨论
DOI：
10.1080/21548455.2013.832437
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Fariha H. Salman
中科院分区：
文献类型：
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作者：
H. Zimmerman;Susan M. Land;Lucy R. McClain;Michael R. Mohney;Gi Woong Choi;Fariha H. Salman
这项研究考察了树木调查员项目，该项目旨在通过在植物园的家庭公共项目中使用移动设备支持科学学习。使用案例研究方法，研究人员分析了10个家庭(25人)在植物园与博物学家一起使用移动技术的视频记录，以了解移动设备如何支持与树木生物多样性相关的科学演讲。这一概念框架汇集了关于科学学习的技术支持的研究和关于鼓励家庭参与支持观察和解释实践的对话的战略的研究。研究结果表明，家庭在使用移动电脑时会进行高水平的知觉对话(描述和识别)。通常，家庭在移动计算机提供的提示、视频和脚手架的支持下，阐述科学观察。家庭努力解释他们所看到的与生态学原理有关的生物学重要性；然而，家庭通过他们在植物园制定的解释与他们的日常生活联系在一起。我们的研究表明了移动支持的重要性，这种支持在限制观测复杂性的同时，为解释构建提供按需的、本地化的意义构建资源。
This research examines the Tree Investigators project to support science learning with mobile devices during family public programmes in an arboretum. Using a case study methodology, researchers analysed video records of 10 families (25 people) using mobile technologies with naturalists at an arboretum to understand how mobile devices supported science talk related to tree biodiversity. The conceptual framework brings together research on technological supports for science learning and research on strategies that encourage families to engage in conversations that support observation and explanation practices. Findings suggested that families engaged in high levels of perceptual talk (describing and identifying) while using mobile computers. Commonly, families articulated scientific observations when supported by prompts, visuals, and scaffolds delivered by the mobile computers. Families struggled to make explanations about the biological importance of what they saw in relation to ecological principles; however, families made connections to their everyday life within explanations they developed at the arboretum. Our research showed the importance of mobile supports that provided on-demand, localised sense-making resources for explanation building while limiting observational complexity.