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Reseach Article

Automatic Identification of Learning Object Type

by Sonal Jain, Jyoti Pareek
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 42 - Number 7
Year of Publication: 2012
Authors: Sonal Jain, Jyoti Pareek
10.5120/5703-7687

Sonal Jain, Jyoti Pareek . Automatic Identification of Learning Object Type. International Journal of Computer Applications. 42, 7 ( March 2012), 7-10. DOI=10.5120/5703-7687

@article{ 10.5120/5703-7687,
author = { Sonal Jain, Jyoti Pareek },
title = { Automatic Identification of Learning Object Type },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 42 },
number = { 7 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 7-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume42/number7/5703-7687/ },
doi = { 10.5120/5703-7687 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:32:09.124330+05:30
%A Sonal Jain
%A Jyoti Pareek
%T Automatic Identification of Learning Object Type
%J International Journal of Computer Applications
%@ 0975-8887
%V 42
%N 7
%P 7-10
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With energetic development of the Internet, online learning object repositories and web based learning systems have become more and more realistic and popular in the past ten years. One of the essential characteristics of learning object is, it should be discoverable depending on its characteristics. This usually entails tagging them with appropriate descriptive metadata. Learning is a cognitive activity that differs from student to student. Achieving personalization and adaptability is not possible till the learning objects are properly attributed. Again metadata instantiation is a difficult task. The Dublin Core metadata element set and IEEE Learning object metadata are two popular metadata standards that facilitate tagging of learning material. This paper showcases automatic identification of Learning Object Type. Experimental evaluation and results depict satisfaction level of users.

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Index Terms

Computer Science
Information Sciences

Keywords

Personalization Learning Object Metadata Learning Object Type