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.

翻译：我们展示了全Brain, 一个学生共享和跟踪其知识的社会电子学习平台。 完全Brain用户可以在专门的课程和概念空间中张贴笔记、 提问和分享学习资源。 我们详细介绍了全Brain的两个组成部分: 一个配有查询自动和查询自动分析的SIR系统, 和一个改善用户经验的“ 领导板” 模块。 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 秒的完成时间, 匹配或超过我们的UX 目标。 此外, 我们进行了压力测试, 引导人们进行更详细的分析。 通过初步用户研究和记录数据分析, 我们观察到97%的用户活动被引导到领导板的前4位。