2022/12/01 by Mirko Biasini, Biasini, Mirko, Vittorio Carmignani +9
Computer Science · #E-Learning and Knowledge Management #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Online Learning and Analytics #Open Education and E-Learning
paper · pdf · doi:10.48550/arxiv.2212.01387
openalex publication_date 2022/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.