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Developing, Researching, and Scaling Up SmartGraphs

Developing, Researching, and Scaling Up SmartGraphs
开发、研究和扩展 SmartGraph
批准号:
0918522
负责人:
Carolyn Staudt
金额:
$281.95万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-08-15 至 2014-07-31

项目摘要

项目成果

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中文摘要
翻译
该项目的目标是开发智能图,通过严格的研究记录其有效性,并扩展实现,使这项技术得到广泛应用。该项目研究“智能图表”的教育价值,这些数字对象“知道”自己,并为学生提供脚手架,帮助他们学习图表和图表所传达的概念。按照计划,数字智能图表可以由教师编写或定制,并接受学生的输入。响应、草图、函数、模型和探针。该软件会分析图表中专家能够识别的各种特征,然后让学生参与到指导和评估的对话中。智能图表的开发是基于对学生使用和理解图表的广泛先前研究(TEEMSS II项目)。该项目由康科德财团和宾夕法尼亚州教育部合作指导。宾夕法尼亚州的“未来教室”项目,通过该项目部署了4万台笔记本电脑,为50万名学生提供服务。由杰出的研究人员和教育工作者组成的小组担任项目顾问。经过与一所高中的早期开发和优化,该技术与力和运动单位一起在24所学校进行了全面测试。比较研究(有实施延迟的随机分配)提供了数据来源。最后几年致力于扩大规模,包括200名教师和出版商,他们将获得支持和开源材料。
英文摘要
The project goal is to develop Smart Graphs, document their effectiveness through rigorous research, and scale the implementation so this technology becomes widely available. The project studies the educational value of "Smart Graphs", digital objects that "know" about themselves and that provide scaffolding to students to help them learn about graphs and the concepts conveyed in graphs. As planned, digital Smart Graphs can be authored or customized by teachers and accept inputs from students? responses, sketches, functions, models, and probes. The software analyzes the graphs for the kinds of features that experts recognize and then engages students in conversations that instruct and assess.The development of Smart Graphs is based on extensive prior research about students' use and understanding of graphs (TEEMSS II Project). The project is guided by a collaboration between the Concord Consortium and the Pennsylvania State Department of Education. Pennsylvania's Classrooms for the Future program, through which 40,000 laptop computers are deployed to serve 500,000 students. An outstanding panel of researchers and educators serve as project advisors. After early development and optimization working with one high school, the technology is fully tested in 24 schools in conjunction with units on force and motion. Comparison studies (random assignment with implementation delays) provide the sources of data. The final years are devoted to scaling, reaching 200 teachers in addition to publishers who will be offered support and open source materials.
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