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Testing the Effects of Real-time Scaffolding of Science Inquiry Driven by Automated Performance Assessment

Testing the Effects of Real-time Scaffolding of Science Inquiry Driven by Automated Performance Assessment
测试自动绩效评估驱动的科学探究实时支架的效果
批准号:
1252477
负责人:
Janice Gobert
金额:
$149.93万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-10-01 至 2016-08-31

项目摘要

项目成果

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中文摘要
翻译
本研究旨在探讨中学生如何在复杂领域进行科学探究。 从学习科学,科学教育,评估,统计学,计算机科学和教育数据挖掘的专业知识和方法相结合的工作计划:(1)使用知识工程和数据挖掘,以开发在地球和生命科学的调查性能评估的方法;(2)使用这些性能算法来触发教学代理,该教学代理将在真实的时间内向学生提供个性化的脚手架;(3)研究脚手架的作用。 该项目建立在对STEM学习进行模拟和评估的大量先前研究(包括几个NSF支持的项目)的基础上。 这两个主要的研究问题,旨在解决在何种程度上,由教学代理跨任务在同一主题内,跨主题在同一领域内的脚手架查询技能转移。 在三年的项目过程中将进行的主要活动包括:(1)为教学代理开发多种类型的支架;(2)与学生和教师一起进行试点测试和分析,以推动迭代改进;(3)发展(使用知识工程和数据挖掘算法)和验证度量来评估(a)假设生成,(B)数据收集,(c)数据解释;(d)证明主张;(4)将评估指标与教学代理人相结合;(5)数据收集和分析,以解决研究问题。数据收集将在马萨诸塞州的五所学校进行,比较通过教学代理接受询问支架的中学生和没有接受询问支架的中学生(学生按主题随机分配到治疗条件)。在项目结束时,日志数据将通过匹兹堡学习科学中心数据商店免费提供给科学研究人员,用于二级研究和教学目的。
英文摘要
This project addresses how middle school students conduct scientific inquiry in complex domains. Expertise and methods from the learning sciences, science education, assessment, statistics, computer science, and educational data mining are combined in a program of work that: (1) uses knowledge engineering and data mining to develop methods for performance assessment of inquiry in earth and life sciences; (2) uses these performance algorithms to trigger a pedagogical agent that will provide individualized scaffolding to students in real time; and (3) studies the effects of that scaffolding. This project builds on an extensive body of prior research (including several NSF-supported projects) on STEM learning with simulations and assessments of STEM learning. The two main research questions seek to address the extent to which inquiry skills scaffolded by the pedagogical agent transfer across tasks within the same topic, and across topics within the same domain. Key activities to be conducted over the course of the three-year project include: (1) developing multiple types of scaffolds for the pedagogical agent; (2) pilot testing and analysis with students and teachers to drive iterative improvement; (3) developing (using knowledge engineered and data mined algorithms) and validating metrics to assess the inquiry skills of (a) hypothesis generation, (b) data collection, (c) data interpretation, and (d) warranting claims; (4) integrating assessment metrics with the pedagogical agent; and (5) data collection and analysis to address the research questions. Data collection will take place in five Massachusetts schools, comparing middle school students who do to those who do not receive inquiry scaffolding via the pedagogical agent (students randomly assigned to treatment conditions by topic). At the conclusion of the project, log data will be made freely available to scientific researchers for secondary research and teaching purposes via the Pittsburgh Science of Learning Center DataShop.
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