Learning Objects Automatic Generation System for Multiple Data Formats

DOI

10.2991/csss-14.2014.47How to use a DOI?

Keywords

component; Learning Objects; Multiple Data Sources; Multiple Data Formats; Automatic Generation System; SOA

Abstract

This paper focuses on object processing digital resources to enhance their reusability and adaptability. Deep into content level of digital resources belonging to different formats, to achieve fine-grained knowledge-based learning objects automated generation, this paper presents a MPLOG framework that integrates a variety of learning resources analyzers. Under the guidance of the domain ontology, the analyzers have divided digital resources into blocks and marked them with knowledge point.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Li Yushun
AU  - Li Meng
PY  - 2014/06
DA  - 2014/06
TI  - Learning Objects Automatic Generation System for Multiple Data Formats
BT  - Proceedings of the 3rd International Conference on Computer Science and Service System
PB  - Atlantis Press
SP  - 203
EP  - 206
SN  - 1951-6851
UR  - https://doi.org/10.2991/csss-14.2014.47
DO  - 10.2991/csss-14.2014.47
ID  - Yushun2014/06
ER  -