@inproceedings{eaf7646c425c45cf8c906f64c3f8a3d0,
title = "PeerLens: Peer-inspired Interactive Learning Path Planning in Online Question Pool",
abstract = "Online question pools like LeetCode provide hands-on exercises of skills and knowledge. However, due to the large volume of questions and the intent of hiding the tested knowledge behind them, many users fnd it hard to decide where to start or how to proceed based on their goals and performance. To overcome these limitations, we present PeerLens, an interactive visual analysis system that enables peer-inspired learning path planning. PeerLens can recommend a customized, adaptable sequence of practice questions to individual learners, based on the exercise history of other users in a similar learning scenario. We propose a new way to model the learning path by submission types and a novel visual design to facilitate the understanding and planning of the learning path. We conducted a within-subject experiment to assess the efcacy and usefulness of PeerLens in comparison with two baseline systems. Experiment results show that users are more confdent in arranging their learning path via PeerLens and fnd it more informative and intuitive.",
keywords = "Learning path planning, Question pool, Visualization",
author = "Meng Xia and Mingfei Sun and Huan Wei and Qing Chen and Yong Wang and Lei Shi and Huamin Qu and Xiaojuan Ma",
note = "Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; 2019 CHI Conference on Human Factors in Computing Systems, CHI 2019 ; Conference date: 04-05-2019 Through 09-05-2019",
year = "2019",
month = may,
day = "2",
doi = "10.1145/3290605.3300864",
language = "English",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
pages = "1--12",
booktitle = "CHI 2019 -",
address = "United States",
}