IBSS-L: Continuous Measurement of Children's Behavior and the Development of Social Dynamics

IBSS-L：儿童行为和社会动态发展的持续测量

• 批准号: 1620294
• 负责人: Daniel Messinger
• 金额: $ 87万
• 依托单位: University of Miami
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-08-15 至 2020-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1620294&HistoricalAwards=false
• 关键词: IBSS; Continuous; Measurement; Children; Behavior

This interdisciplinary research project will investigate the development of children's social networks using real-time observations of classroom behavior. Continuous measurement of children's movements in the classroom will be complemented with automated analyses of audio recordings and human descriptions of social contacts. Children will be followed from toddler through pre-school to pre-kindergarten in order to conduct a longitudinal investigation of the origin and development of their social networks. Interactions will be observed across classroom activities and will include teachers, allowing for a comprehensive model of classroom ecology and gender segregation patterns. The project will enhance understanding about the micro-geography of educational practice to determine how student location is distributed with respect to the pedagogic structuring of classroom space, such as which children visit the book area together. The findings will provide a knowledge base designed to address deficits in school engagement that characterize the ethnically diverse and economically disadvantaged students who will be participating in the project. Project resources and de-identified data will be disseminated to the research community to facilitate additional discovery.This project will unite network scientists from physics with developmental and school psychologists to investigate the development and dynamic functioning of social networks. Quantitative network models of social dynamics will be infused with information about the role that child characteristics like gender and ethnicity play in the formation of classroom social groups. Agent-based modeling will synthesize movement and social contact dynamics. Network models will be parameterized with fission-fusion equations to predict changes in children's developing social networks such as the size and gender composition of groups of interacting children. Multilevel models will capture within- and between- year longitudinal changes in sociality for individual children and for the network overall. These complementary models will specify the processes through which children's social groups become progressively larger and more interconnected over development. This project is supported through the NSF Interdisciplinary Behavioral and Social Sciences Research (IBSS) competition.

这个跨学科的研究项目将调查儿童的社交网络的发展，使用实时观察课堂行为。 对儿童在课堂上的动作进行持续测量，将辅之以对录音和人类对社会接触的描述进行自动分析。 儿童将被跟踪从蹒跚学步通过学前到学前班，以进行纵向调查的起源和发展的社交网络。 将在课堂活动中观察互动，并将包括教师，从而可以建立一个全面的课堂生态和性别隔离模式模型。 该项目将加强对教育实践的微观地理的理解，以确定学生的位置如何分布在教室空间的教学结构方面，例如哪些孩子一起参观图书区。 调查结果将提供一个知识基础，旨在解决学校参与的特点，种族多样性和经济上处于不利地位的学生谁将参加该项目的赤字。 项目资源和去识别数据将分发给研究界，以促进更多的发现。该项目将联合物理学网络科学家与发展和学校心理学家，调查社交网络的发展和动态功能。 社会动态的定量网络模型将注入有关性别和种族等儿童特征在课堂社会群体形成中所起作用的信息。 基于代理的建模将综合运动和社会接触动态。 网络模型将用裂变-融合方程进行参数化，以预测儿童发展中的社交网络的变化，如互动儿童群体的规模和性别组成。 多层次模型将捕捉一年内和一年之间的纵向变化，在社会性的个别儿童和网络的整体。 这些互补模式将具体说明儿童社会群体在发展过程中逐渐扩大和相互联系的过程。 该项目通过NSF跨学科行为和社会科学研究（IBSS）竞赛获得支持。