CAREER: Developing Infrastructure for Data-Driven Educational Game Streaming

本项目研究将联合收割机的视频直播与文字聊天和内容库相结合的社交媒体作为数学和其他领域的教育游戏的媒介。Twitch等商业游戏流媒体平台每月吸引用户数百亿分钟的参与时间。访问者不仅仅是观看;许多人访问该网站是为了学习艺术技巧和编码以及如何玩新游戏。然而，Twitch目前并不是一个学习平台。这为设计和分发教育游戏提供了新的机会。这项研究将创建一个新的工具包，用于在Twitch上创建教育游戏界面。该工具包将用于设计教育游戏的互动学习界面，并研究哪些技术是有效的。以人为本的设计过程将追求使工具包对Twitch用户，游戏设计师和其他研究人员有用。该研究团队将与教师合作，以满足他们在课堂上使用这种新颖的教育游戏形式的需求。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。

This project investigates using social media that combine live video streaming with text chat and content repositories as a medium for educational games in mathematics and other fields. Commercial platforms for game streaming such as Twitch engage users in tens of billions of minutes of engagement per month. Visitors don't just watch; many visit the site in order to learn art techniques and coding as well as how to play new games. However, Twitch is not currently designed as a learning platform. This provides a novel opportunity for designing and distributing educational games. The research will create a new toolkit for creating educational game interfaces on Twitch. The toolkit will be used to design interactive learning interfaces for educational games and study which techniques are effective. A human-centered design process will pursue making the toolkit useful to Twitch users, game designers, and other researchers. The research team will work with teachers to addressing their needs for using this novel form of educational gaming in the classroom.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.