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MRI-R2: Acquisition of Shared Digital Video Data Analysis Infrastructure

MRI-R2: Acquisition of Shared Digital Video Data Analysis Infrastructure
MRI-R2:收购共享数字视频数据分析基础设施
批准号:
0959822
负责人:
Alan Foley
金额:
$47.34万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-05-01 至 2013-06-30

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中文摘要
翻译
该奖项是根据2009年美国复苏和再投资法案(公法111-5)资助的。该主要研究仪器奖资助购买高质量的视频制作和后期制作设备,以支持锡拉丘兹大学的研究。锡拉丘兹大学的几个研究项目目前收集和分析了大量的数字视频(DV)数据,以调查各种各样的问题,这些问题考虑了人们彼此之间以及与技术之间明显和微妙的互动。数字视频数据分析需要高质量的视频制作和后期制作设备以及专门的分析软件,可以对所获取的镜头进行反复和详细的检查,并提高分析的准确性。DV数据分析的结果可以发挥重要作用,促进研究和教育的研究密集型学习环境的整合,并可以发挥重要作用,在重新配置研究实践,挑战从业者和研究人员之间的区别。 锡拉丘兹大学目前缺乏全面的基础设施,以支持研究工作,产生和分析DV数据。由于缺乏强有力的DV基础设施,该大学的研究人员无法对生成DV数据的方法最好解决的问题进行研究。所要求的设备和软件将对涉及科学教育、教师教育、教学技术和语言学研究的三个学科的教师产生直接和即时的影响。由该设备支持的研究的更广泛影响是在科学教学和情境认知领域,这些领域改进和加强了科学教学法,这将被纳入K-12和高等教育实践,并将包括职前和在职教师。本科生和研究生研究人员将致力于这项赠款所支持的所有项目。
英文摘要
This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).This Major Research Instrumentation award funds the acquisition of high quality video production and post-production equipment to support research at Syracuse University. Several research projects at Syracuse University currently collect and analyze large quantities of digital video (DV) data to investigate diverse questions that consider both the obvious and the subtle interactions people have with each other and with technology. Digital video data analysis, which requires high quality video production and post-production equipment and specialized analytical software, allows for repeated and detailed examination of acquired footage and increased analytic accuracy. Findings from DV data analysis can play an important role in fostering the integration of research and education in research-intensive learning environments and can play an important role in reconfiguring research practices that challenge the distinction between practitioners and researchers. Syracuse University currently lacks comprehensive infrastructure for supporting research endeavors that generate and analyze DV data. Because of the lack of robust DV infrastructure, researchers at the University have not been able to engage in research on questions that are best addressed by methodologies that generate DV data. The requested equipment and software will have a direct and immediate impact on faculty in three disciplines involved in research in Science Education, Teacher Education, Instructional Technology, and Linguistics.The broader impacts of the research supported by this equipment is in the areas of science teaching and situated cognition that refine and enhance science pedagogy, which will be integrated into K-12 and higher educational practices and will include pre-service and in-service teachers. Undergraduate and graduate researchers will work on all of the projects enabled by this grant.
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