论文标题
Fullbrain：社交电子学习平台
FullBrain: a Social E-learning Platform
论文作者
论文摘要
我们介绍了Fullbrain，这是一个社交电子学习平台，学生共享和跟踪他们的知识。 Fullbrain用户可以在专门的课程和概念空间中发布注释，提出问题并共享学习资源。我们详细介绍了Fullbrain的两个组件：配备了查询自动完成和查询自动设计的SIR系统，以及一个排行榜模块，可改善用户体验。我们分析了SIR系统的日常用户使用情况，测量了一个低于0.11的请求，匹配或超过了我们的UX目标。此外，我们进行了压力测试，这引发了更详细的分析。通过初步的用户研究和日志数据分析，我们观察到97％的用户活动被指向排行榜中的前4个位置。
We present FullBrain, a social e-learning platform where students share and track their knowledge. FullBrain users can post notes, ask questions and share learning resources in dedicated course and concept spaces. We detail two components of FullBrain: a SIR system equipped with query autocomplete and query autosuggestion, and a Leaderboard module to improve user experience. We analyzed the day-to-day users' usage of the SIR system, measuring a time-to-complete a request below 0.11s, matching or exceeding our UX targets. Moreover, we performed stress tests which lead the way for more detailed analysis. Through a preliminary user study and log data analysis, we observe that 97% of the users' activity is directed to the top 4 positions in the leaderboard.
