BCC-EHR: Learning Games Playdata Consortium (PDC): A Consortium for Digital Analytics and Techniques for Assessment with Learning Games

BCC-EHR：学习游戏 Playdata 联盟 (PDC)：学习游戏数字分析和评估技术联盟

• 批准号: 1338508
• 负责人: Matthew Berland
• 金额: $ 49.74万
• 依托单位: University of Wisconsin-Madison
• 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
• 起止时间: 2013-09-15 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1338508&HistoricalAwards=false
• 关键词: BCC; EHR; Learning; Games; Playdata

The goal of this project is to develop a research community and infrastructure for learning analytics in digital games for learning. The project will convene a series of meetings that will: 1) establish standards for capturing and storing click-stream data from learning games and other sources; 2) define analytic methods for organizing and querying data to facilitate a variety of analytic processes; and 3) defining a set of APIs that will guide developers to build games that can contribute data to a national database. The project is a partnership of researchers from academia, private non-profit research institutions and for-profit entities

该项目的目标是开发一个研究社区和基础设施，用于数字游戏学习分析。 该项目将召开一系列会议，以：1）建立捕获和存储来自学习游戏和其他来源的点击流数据的标准; 2）定义组织和查询数据的分析方法，以促进各种分析过程; 3）定义一组API，指导开发人员构建可以向国家数据库提供数据的游戏。 该项目是来自学术界、私人非营利研究机构和营利性实体的研究人员的合作伙伴关系