@inproceedings{4e7eb40a0c01466080e1721d6b124547,
title = "Learning activity sharing and individualized recommendation based on dynamical correlation discovery",
abstract = "In this study, we concentrate on learning activity sharing and individualized recommendation based on dynamical user correlations, in order to support and facilitate the web-based learning process integrated with social streams. A user correlation-based learning activity model is built to demonstrate the relations among user, learning task and learning activity. Based on these, an integrated method is proposed to provide a target user with the possible learning activity as the next learning step, which is expected to enhance the learning efficiency. Finally, design of a Moodle-based prototype system is discussed.",
keywords = "Learning Activity, Learning Activity Sharing, Social Learning, Social Media, Social Stream",
author = "Xiaokang Zhou and Jian Chen and Qun Jin and Shih, {Timothy K.}",
year = "2012",
doi = "10.1007/978-3-642-33642-3_21",
language = "???core.languages.en_GB???",
isbn = "9783642336416",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "200--206",
booktitle = "Advances in Web-Based Learning, ICWL 2012 - 11th International Conference, Proceedings",
note = "11th International Conference on Advances in Web-Based Learning, ICWL 2012 ; Conference date: 02-09-2012 Through 04-09-2012",
}