id: 05978327
dt: a
an: 2012a.00799
au: Hauff, Claudia; Houben, Geert-Jan
ti: Deriving knowledge profiles from Twitter.
so: Kloos, Carlos Delgado (ed.) et al., Towards ubiquitous learning. 6th
    European Conference of Technology Enhanced Learning, EC-TEL 2011,
    Palermo, Italy, September 20‒23, 2011. Proceedings. Berlin: Springer
    (ISBN 978-3-642-23984-7/pbk). Lecture Notes in Computer Science 6964,
    139-152 (2011).
py: 2011
pu: Berlin: Springer
la: EN
cc: R30
ut: 
ci: 
li: doi:10.1007/978-3-642-23985-4_12
ab: Summary: E-learning systems often include a personalization component,
    which adapts the learning content to the learner’s particular needs.
    One obstacle to personalization is the question of how to obtain a
    learner profile for a learner who just starts using an E-learning
    system without overwhelming her with questions or unsuitable learning
    material. One possible solution to this problem lies in the social Web.
    If a learner is active on the social Web, a considerable amount of
    information about her is already available. Depending on the social Web
    service(s) the learner uses, her tweets, photos, bookmarks, etc. are
    publicly accessible. We investigate if it is feasible to exploit the
    social Web, more specifically the social Web service Twitter, to infer
    a learner’s knowledge profile in order to overcome the
    “cold-start” problem in E-learning systems.
rv: