Multi-Disciplinary Symposium on "Thinking with Data"

“用数据思考”多学科研讨会

• 批准号: 0400979
• 负责人: Marsha Lovett
• 金额: $ 3.77万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-02-15 至 2005-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0400979&HistoricalAwards=false
• 关键词: Multi; Disciplinary; Symposium; Thinking; Data

The PI proposes to organize a multi-disciplinary symposium that will examine the roles that learning and instruction can play in how people reason with data: the kinds of representations they form, their understandings of measurement, of statistical noise, of graphical displays, and how they understand and use data to explain phenomena and make decisions. The proposed symposium will be the first of its kind to bring such a diverse group of junior and senior researchers together to forge common ground. It will allow them to exchange state-of-the-art work from their different disciplines, to seek converging results and common principles, and to discover research needs or gaps based on current work. At present, work in the disciplines of developmental psychology, statistics, decision analysis, and science and math education proceed with little interaction or sharing of insights. One of the focuses of the symposium is to bring current theoretical insights to bear on practice (in business and in the schools), as well as to make insights derived from the field available across field boundaries in order to allow it to advance the theoretical work.

PI建议组织一个多学科的研讨会，将研究学习和教学在人们如何用数据进行推理方面所扮演的角色：他们形成的表征类型，他们对测量的理解，统计噪音，图形显示，以及他们如何理解和使用数据来解释现象并做出决策。拟议的专题讨论会将是第一次将如此多样化的初级和高级研究人员聚集在一起，以形成共同点。它将使他们能够交流来自不同学科的最先进的工作，寻求趋同的结果和共同的原则，并根据目前的工作发现研究需求或差距。目前，发展心理学、统计学、决策分析、科学和数学教育等学科的工作几乎没有互动或分享见解。研讨会的重点之一是将当前的理论见解应用于实践（在商业和学校中），并使来自该领域的见解跨越领域界限，以使其能够推进理论工作。