Groupized learning path discovery based on member profile

Xiuzhen FENG*, Haoran XIE, Yang PENG, Wei CHEN, Huamei SUN

*Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

11 Citations (Scopus)


With the explosion of knowledge nowadays, it is urgent for people to learn new things quickly and effectively. To meet such a requirement, how we can find a suitable path for learning has become a crucial issue. Meanwhile, in our daily life, it is important and necessary for people from various backgrounds to achieve a certain task (eg. survey, report, business plan, etc.) collaboratively in the form of the group. For these group-based task, it often requires members to learn new knowledge by using e-learning system. In this paper, we focus on addressing the problem on discovering an appropriate study path to facilitate a group of people rather than a single person for effective learning under e-learning environment. Furthermore, we propose a group model to capture the expertise of each member. Based on this model, a groupized learning path discovering (GLPD) algorithm is proposed in order to help a group of learners to grasp new knowledge effectively and efficiently. Finally, we conduct a practical experiment whose result verifies the soundness of our approach.

Original languageEnglish
Title of host publicationNew Horizons in Web-Based Learning : ICWL 2010 Workshops
EditorsXiangfeng LUO, Yiwei CAO, Bo YANG, Jianxun LIU, Feiyue YE
Place of PublicationBerlin
PublisherSpringer Berlin Heidelberg
Number of pages10
ISBN (Electronic)9783642205392
ISBN (Print)9783642205385
Publication statusPublished - 2011
Externally publishedYes
EventThe 9th International Conference on Web-based Learning - Shanghai University, Shanghai, China
Duration: 7 Dec 201011 Dec 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6537 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceThe 9th International Conference on Web-based Learning
Abbreviated titleICWL 2010
Internet address


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