Thinking with Data

用数据思考

• 批准号: 0337384
• 负责人: Philip Vahey
• 金额: $ 32.5万
• 依托单位: SRI International
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-02-01 至 2005-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0337384&HistoricalAwards=false
• 关键词: Thinking; Data

The project would investigate the different cultures in social studies and mathematics classes to create a better understanding of the mathematics used for investigating real-world problems. The theory of transfer called "Preparation for Future Learning" seeks to increase the attention to argumentation in social studies class and increase focus on formal techniques in mathematics classes. Instead of teaching students to directly transfer skills from one situation to another, instruction is created to prepare students to learn in new settings and contexts. The researchers seek to increase "data literacy" which is defined as formulating questions, using appropriate representations, and developing and evaluating inferences. The researchers will examine their question of whether or not an approach applied to quantitative reasoning in social studies classes will be applied in mathematics classes and thus increases the student's data literacy. The instructional methods include a significant amount of use of modern technology. The researchers at SRI will work with Kent State Research center for educational technology and the Green Middle School in Ohio.

该项目将调查社会研究和数学课程中的不同文化，以更好地理解用于调查现实世界问题的数学。 迁移理论被称为“为未来学习做准备”，旨在增加对社会研究课程中论证的关注，并增加对数学课程中形式技术的关注。 教学不是教学生直接将技能从一种情况转移到另一种情况，而是让学生在新的环境和背景下学习。 研究人员试图提高“数据素养”，其定义为制定问题，使用适当的表示，并开发和评估推理。 研究人员将研究他们的问题，即社会研究课程中应用于定量推理的方法是否会应用于数学课程，从而提高学生的数据素养。 教学方法包括大量使用现代技术。SRI的研究人员将与肯特州立教育技术研究中心和俄亥俄州的绿色中学合作。