NDLI: Federating learning management systems for medical education: A persuasive technologies perspective

Content Provider	IEEE Xplore Digital Library
Author	Bamidis, P.D. Konstantinidis, S.T. Bratsas, C. Iyengar, M.S.
Copyright Year	2011
Description	Author affiliation: School of Health Information Sciences, University of Texas Health Science Center at Houston (Iyengar, M.S.) \|\| Medical Informatics Laboratory, School of Medicine, Aristotle University of Thessaloniki, Greece (Bamidis, P.D.; Konstantinidis, S.T.; Bratsas, C.)
Abstract	In the current explosion of internet technologies and exponentially increasing usage of the web there exists a need for effective searching and retrieval of information and resources. This is particularly true in medical and health care education. In the mEducator EUC funded project (www.mEducator.net), the collbaorators are attempting to develop technologies that will enable the above notion by means of multiple technological approaches, including one based on Web 2.0 principles and mashup technologies, and another based on web 3.0 and semantic (or linked) services. In this paper we view this problem through the recent notions of persuasive technologies and we explain how these are taken into account in the problem of metadata completion, a necessary action for linking resources in open educational repositories or learning management systems. The basic principles of persuasive technologies taken into account together with their application in the above field are explained and demonstrated with examples
Starting Page	1
Ending Page	6
File Size	525104
Page Count	6
File Format	PDF
ISBN	9781457711893
ISSN	10637125
e-ISBN	9781457711909
DOI	10.1109/CBMS.2011.5999117
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-27
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Databases Education Semantics Joining processes Resource description framework Licenses
Content Type	Text
Resource Type	Article
Subject	Radiology, Nuclear Medicine and Imaging Computer Science Applications

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